Inizia

Cerca negli script per "high low"

Scoopy StacksWaffle Around Multiple (Open, High, Low, Close) Stacks On Pre/Post Market & (Daily, Weekly, Monthly, Yearly) Sessions With Meticulous Columns, Rows, Tooltips, Colors, Custom Ideas, and Alerts. Sessions Use Two Step Incremental Values Default Value: (1) Shows Two Previous (O, H, L, C); Increasing Value Swaps Sessions With Next Two Stacks. ⬛️ KEY WORDS: 🟢 Crossover | 🔴 Crossunder 📗 High | 📕 Low 📔 Open | 📓 Close 🥇 First Idea | 🥈 Second Idea 🥉 Third Idea | 🎖️ Fourth Idea 🟥 ALERTS: Default Option: (Per Bar) Alerts Once Conditions Are Met (Bar Close) Alerts When Bar Closes Default Option: (Reg) Alerts During Regular Market Trading Hours, (0930-1600) (Ext) Alerts During Extended Market Hours, (1600-0930) (24/7) Alerts All Day Optional Preferences: Regular Alerts - Stocks Extended Alerts - Futures 24/7 Alerts - Crypto 🟧 STACKS: Default Value: (1) Incremental Stack Value, Increasing Value Swaps Sessions With the Next Two Stacks (✓) Swap Stacks? Pre/Post Market High/Lows, 1-2 Day High/Lows, 1-2 Week High/Lows, 1-2 Month High/Lows, 1-2 Year High/Lows ( ) Swap Stacks? Pre/Post Market Open/Close, 1-2 Day Open/Close, 1-2 Week Open/Close, 1-2 Month Open/Close, 1-2 Year Open/Close 🟨 EXAMPLES: Default Stack: 🟢 | 📗 Pre Market High (PRE) | 4600.00 🔴 | 📕 Post Market Low (POST) | 420.00 Optional: (Open) 🟢 | 📔 Post Market Open (POST) | 4400.00 Optional: (Close) 🔴 | 📓 Pre Market Close (PRE) | 430.00 Default Stack Value: (1) 🔴 | 📗 1 Day High (1DH) | 460.00 Next Stack Value: (3) 🟢 | 📕 4 Day Low (4DL) | 420.00 Optional: (Open) 🔴 | 📔 2 Day Open (2DO) | 440.00 Optional: (Close) 🟢 | 📓 3 Day Close (3DC) | 430.00 Default Stack Value: (5) 🟢 | 📗 5 Week High (5WH) | 460.00 Next Stack Value: (7) 🔴 | 📕 8 Week Low (8WL) | 420.00 Optional: (Open) 🔴 | 📔 7 Week Open (7WO) | 4400.00 Optional: (Close) 🟢 | 📓 6 Week Close (6WC) | 430.00 Default Stack Value: (9) 🔴 | 📗 9 Month High (9MH) | 460.00 Next Stack Value: (11) 🟢 | 📕 12 Month Low (12ML) | 420.00 Optional: (Open) 🟢 | 📔 11 Month Open (11MO) | 4400.00 Optional: (Close) 🔴 | 📓 10 Month Close (10MC) | 430.00 Default Stack Value: (13) 🟢 | 📗 13 Year High (13YH) | 460.00 Next Stack Value: (15) 🟢 | 📕 16 Year Low (16YL) | 420.00 Optional: (Open) 🔴 | 📔 15 Year Open (15YO) | 4400.00 Optional: (Close) 🔴 | 📓 14 Year Close (14YC) | 430.00 🟩 TABLES: Default Value: (1) Moves Table Up, Down, Left, or Right Based on Second Default Value First Default Value: (Top Right) Sets Table Placement, Middle Center Allows Table To Move In All Directions Second Default Value: (Default) Fixed Table Position, Switching Values Moves Direction of the Table 🟦 IDEAS: (✓) Show Ideas? Shows Four Ideas With Custom Texts and Values; Ideas Are Based Around Post-It Note Reminders with Alerts Suggestions For Text Ideas: Take Profit, Stop Loss, Trim, Hold, Long, Short, Bounce Spot, Retest, Chop, Support, Resistance, Buy, Sell 🟪 EXAMPLES: Default Value: (5) Shows the Custom Table Value For Sorted Table Positions and Alerts Default Text: (🥇) Shown On First Table Cell and Message Appearing On Alerts Alert Shows: 🟢 | 🥇 | 5.00 Default Value: (10) Shows the Custom Table Value For Sorted Table Positions and Alerts Default Text: (🥈) Shown On Second Table Cell and Message Appearing On Alerts Alert Shows: 🔴 | 🥈 | 10.00 Default Value: (50) Shows the Custom Table Value For Sorted Table Positions and Alerts Default Text: (🥉) Shown On Third Table Cell and Message Appearing On Alerts Alert Shows: 🟢 | 🥉 | 50.00 Default Value: (100) Shows the Custom Table Value For Sorted Table Positions and Alerts Default Text: (🎖️) Shown On Fourth Table Cell and Message Appearing On Alerts Alert Shows: 🔴 | 🎖️ | 100.00 ⬛️ REFERENCES: Pre-market Highs & Lows on regular trading hours (RTH) chart By Twingall Previous Day Week Highs & Lows By Sbtnc Screener for 40+ instruments By QuantNomad Daily Weekly Monthly Yearly Opens By Meliksah55
Indicatore Pine Script®
di Scvvby
Ribbit RangesBounce Around Multiple (Open, High, Low, Close) Ranges On Pre/Post Market & (Daily, Weekly, Monthly, Yearly) Sessions With Meticulous Lines, Labels, Tooltips, Colors, Custom Ideas, and Alerts. Sessions Use Two Step Incremental Values Default Value: (1) Shows Two Previous (O, H, L, C); Increasing Value Swaps Sessions With Next Two Ranges. ⬛️ KEY WORDS: 🟢 Crossover | 🔴 Crossunder 📗 High | 📕 Low 📔 Open | 📓 Close 🥇 First Idea | 🥈 Second Idea 🥉 Third Idea | 🎖️ Fourth Idea 🟥 ALERTS: Default Option: (Per Bar) Alerts Once Conditions Are Met (Bar Close) Alerts When Bar Closes Default Option: (Reg) Alerts During Regular Market Trading Hours, (0930-1600) (Ext) Alerts During Extended Market Hours, (1600-0930) (24/7) Alerts All Day Optional Preferences: Regular Alerts - Stocks Extended Alerts - Futures 24/7 Alerts - Crypto 🟧 RANGES: Default Value: (1) Incremental Range Value, Increasing Value Swaps Sessions With the Next Two Ranges (✓) Swap Ranges? Pre/Post Market High/Lows, 1-2 Day High/Lows, 1-2 Week High/Lows, 1-2 Month High/Lows, 1-2 Year High/Lows ( ) Swap Ranges? Pre/Post Market Open/Close, 1-2 Day Open/Close, 1-2 Week Open/Close, 1-2 Month Open/Close, 1-2 Year Open/Close 🟨 EXAMPLES: Default Range: 🟢 | 📗 Pre Market High (PRE) | 4600.00 🔴 | 📕 Post Market Low (POST) | 420.00 Optional: (Open) 🟢 | 📔 Post Market Open (POST) | 4400.00 Optional: (Close) 🔴 | 📓 Pre Market Close (PRE) | 430.00 Default Range Value: (1) 🔴 | 📗 1 Day High (1DH) | 460.00 Next Range Value: (3) 🟢 | 📕 4 Day Low (4DL) | 420.00 Optional: (Open) 🔴 | 📔 2 Day Open (2DO) | 440.00 Optional: (Close) 🟢 | 📓 3 Day Close (3DC) | 430.00 Default Range Value: (5) 🟢 | 📗 5 Week High (5WH) | 460.00 Next Range Value: (7) 🔴 | 📕 8 Week Low (8WL) | 420.00 Optional: (Open) 🔴 | 📔 7 Week Open (7WO) | 4400.00 Optional: (Close) 🟢 | 📓 6 Week Close (6WC) | 430.00 Default Range Value: (9) 🔴 | 📗 9 Month High (9MH) | 460.00 Next Range Value: (11) 🟢 | 📕 12 Month Low (12ML) | 420.00 Optional: (Open) 🟢 | 📔 11 Month Open (11MO) | 4400.00 Optional: (Close) 🔴 | 📓 10 Month Close (10MC) | 430.00 Default Range Value: (13) 🟢 | 📗 13 Year High (13YH) | 460.00 Next Range Value: (15) 🟢 | 📕 16 Year Low (16YL) | 420.00 Optional: (Open) 🔴 | 📔 15 Year Open (15YO) | 4400.00 Optional: (Close) 🔴 | 📓 14 Year Close (14YC) | 430.00 🟩 COLORS: (✓) Swap Colors? Text Color Is Shown Using Background Color ( ) Swap Colors? Background Color Is Shown Using Text Color 🟦 IDEAS: (✓) Show Ideas? Plots Four Ideas With Custom Lines and Labels; Ideas Are Based Around Post-It Note Reminders with Alerts Suggestions For Text Ideas: Take Profit, Stop Loss, Trim, Hold, Long, Short, Bounce Spot, Retest, Chop, Support, Resistance, Buy, Sell 🟪 EXAMPLES: Default Value: (5) Shows the Custom Value For Lines, Labels, and Alerts Default Text: (🥇) Shown On First Label and Message Appearing On Alerts Alert Shows: 🟢 | 🥇 | 5.00 Default Value: (10) Shows the Custom Value For Lines, Labels, and Alerts Default Text: (🥈) Shown On Second Label and Message Appearing On Alerts Alert Shows: 🔴 | 🥈 | 10.00 Default Value: (50) Shows the Custom Value For Lines, Labels, and Alerts Default Text: (🥉) Shown On Third Label and Message Appearing On Alerts Alert Shows: 🟢 | 🥉 | 50.00 Default Value: (100) Shows the Custom Value For Lines, Labels, and Alerts Default Text: (🎖️) Shown On Fourth Label and Message Appearing On Alerts Alert Shows: 🔴 | 🎖️ | 100.00 ⬛️ REFERENCES: Pre-market Highs & Lows on regular trading hours (RTH) chart By Twingall Previous Day Week Highs & Lows By Sbtnc Screener for 40+ instruments By QuantNomad Daily Weekly Monthly Yearly Opens By Meliksah55
Indicatore Pine Script®
di Scvvby
2
Z-Score Based Momentum Zones with Advanced Volatility ChannelsThe indicator "Z-Score Based Momentum Zones with Advanced Volatility Channels" combines various technical analysis components, including volatility, price changes, and volume correction, to calculate Z-Scores and determine momentum zones and provide a visual representation of price movements and volatility based on multi timeframe highest high and lowest low values. Note: THIS IS A IMPROVEMNT OF "Multi Time Frame Composite Bands" INDICATOR OF MINE WITH MORE EMPHASIS ON MOMENTUM ZONES CALULATED BASED ON Z-SCORES Input Options look_back_length: This input specifies the look-back period for calculating intraday volatility. correction It is set to a default value of 5. lookback_period: This input sets the look-back period for calculating relative price change. The default value is 5. zscore_period: This input determines the look-back period for calculating the Z-Score. The default value is 500. avgZscore_length: This input defines the length of the momentum block used in calculations, with a default value of 14. include_vc: This is a boolean input that, if set to true, enables volume correction in the calculations. By default, it is set to false. 1. Volatility Bands (Composite High and Low): Composite High and Low: These are calculated by combining different moving averages of the high prices (high) and low prices (low). Specifically: a_high and a_low are calculated as the average of the highest (ta.highest) and lowest (ta.lowest) high and low prices over various look-back periods (5, 8, 13, 21, 34) to capture short and long-term trends. b_high and b_low are calculated as the simple moving average (SMA) of the high and low prices over different look-back periods (5, 8, 13) to smooth out the trends. high_c and low_c are obtained by averaging a_high with b_high and a_low with b_low respectively. IDV Correction Calulation : In this script the Intraday Volatility (IDV) is calculated as the simple moving average (SMA) of the daily high-low price range divided by the closing price. This measures how much the price fluctuates in a given period. Composite High and Low with Volatility: The final c_high and c_low values are obtained by adjusting high_c and low_c with the calculated intraday volatility (IDV). These values are used to create the "Composite High" and "Composite Low" plots. Composite High and Low with Volatility Correction: The final c_high and c_low values are obtained by adjusting high_c and low_c with the calculated intraday volatility (IDV). These values are used to create the "Composite High" and "Composite Low" plots. 2. Momentum Blocks Based on Z-Score: Relative Price Change (RPC): The Relative Price Change (rpdev) is calculated as the difference between the current high-low-close average (hlc3) and the previous simple moving average (psma_hlc3) of the same quantity. This measures the change in price over time. Additionally, std_hlc3 is calculated as the standard deviation of the hlc3 values over a specified look-back period. The standard deviation quantifies the dispersion or volatility in the price data. The rpdev is then divided by the std_hlc3 to normalize the price change by the volatility. This normalization ensures that the price change is expressed in terms of standard deviations, which is a common practice in quantitative analysis. Essentially, the rpdev represents how many standard deviations the current price is away from the previous moving average. Volume Correction (VC): If the include_vc input is set to true, volume correction is applied by dividing the trading volume by the previous simple moving average of the volume (psma_volume). This accounts for changes in trading activity. Volume Corrected Relative Price Change (VCRPD): The vcrpd is calculated by multiplying the rpdev by the volume correction factor (vc). This incorporates both price changes and volume data. Z-Scores: The Z-scores are calculated by taking the difference between the vcrpd and the mean (mean_vcrpd) and then dividing it by the standard deviation (stddev_vcrpd). Z-scores measure how many standard deviations a value is away from the mean. They help identify whether a value is unusually high or low compared to its historical distribution. Momentum Blocks: The "Momentum Blocks" are essentially derived from the Z-scores (avgZScore). The script assigns different colors to the "Fill Area" based on predefined Z-score ranges. These colored areas represent different momentum zones: Positive Z-scores indicate bullish momentum, and different shades of green are used to fill the area. Negative Z-scores indicate bearish momentum, and different shades of red are used. Z-scores near zero (between -0.25 and 0.25) suggest neutrality, and a yellow color is used.
Indicatore Pine Script®
di federalTacos5392b
Moving Average - TREND POWER v1.1- (AS)0)NOTE: This is first version of this indicator. It's way more complicated than it should be. Check out Moving Average-TREND POWER v2.1-(AS), its waaaaay less complicated and might be better.Enjoy... 1)INTRODUCTION/MAIN IDEA: In simpliest form this script is a trend indicator that rises if Moving average if below price or falling if above and going back to zero if there is a crossover with a price. To use this indicator you will have to adjust settings of MAs and choose conditions for calculation. While using the indicator we might have to define CROSS types or which MAs to use. List of what cross types are defined in the script and Conditiones to choose from.The list will be below. 2) COMPOSITION: -MA1 can be defined by user in settings, possible types: SMA, EMA, RMA, HMA, TEMA, DEMA, LSMA, WMA. -MA2 is always ALMA 3) OVERLAY: Default is false but if you want to see MA1/2 on chart you can change code to true and then turn on overlay in settings. Most plot settings are avalible only in OV=false. if OV=true possible plots ->MA1/2, plotshape when choosen cross type if OV=false -> main indicator,TSHs,Cross counter 4)PRESETS : Indicator has three modes that can be selected in settings. First two are presets and do not require selecting conditions as they set be default. -SIMPLE - most basic -ABSOLUTE - shows only positive values when market is trending or zero when in range -CUSTOM - main and the most advanced form that will require setting conditions to use in calculating trend 4.1)SIMPLE – this is the most basic form of conditions that uses only First MA. If MA1 is below selected source (High/Low(High for Uptrend and Low for DNtrend or OHLC4) on every bar value rises by 0.02. if it above Low or OHLC4 it falls by 0.02 with every bar. If there is a cross of MA with price value is zero. This preset uses CROSS_1_ULT(list of all cross types below) 4.2) ABSOLUTE – does not show direction of the trend unlike others and uses both MA1 and MA2. Uses CROSS type 123_ULT 4.3) CUSTOM – here we define conditions manually. This mode is defined in parts (5-8 of description) 5)SETTINGS: SOURCE/OVERLAY(line1) – select source of calculation form MA1/MA2, select for overlay true (look point 3) TRESHOLDS(line2). – set upper and lower THS, turn TSHs on/off MA1(line3) – Length/type of MA/Offset(only if MA type is LSM) MA2(line4) – length/offset/sigma -(remember to set ma in the way that in Uptrend MA2MA1 in DNtrend) Use faster MA types for short term trends and slower types / bigger periods for longer term trends, defval MA1/2 settings are pretty much random so using them is not recomended. CROSSshape(line5) – choose which cross type you want to plot on chart(only in OV=true) or what type you want to use in counting via for loops, CROSScount(line6) – set lookback for type of cross choosen above BOOLs in lines 5 and 6 - plotshape if OV=true/plot CROSScount histogram (if OV=false) Lines 7 and 8 – PRESET we want to use /SRC for calculation of indicator/are conditions described below/which MAs to use/Condition for reducing value t 0 - (if PRESET is ABSOLUTE or SIMPLE only SRC should be set(Line 8 does not matter if not CUSTOM)) 5)SOURCE for CONDS: Here you can choose between H/L and OHLC. If H/L value grow when MAlow. If OHLC MAOHLC. H/L is set by default and recommended. This can be selected for all presets not only CUSTOM 6)CROSS types LIST: “1 means MA1, 2 is MA2 and 3 I cross of MA1/MA2. L stands for low and H for high so for example 2H means cross of MA2 and high” NAME -DEFINITION Number of possible crosses 1L - cross of MA1 and low 1 1H - cross of MA1 and high 1 1HL - cross of MA1 and low or MA1 and high 2 -1L/1H 2L - cross of MA2 and low 1 2H - cross of MA2 and high 1 2HL - cross of MA2 and low or MA1 and high 2 -2L/2H 12L - cross of MA1 and low or MA2 and low 2 -1L/2L 12H - cross of MA1 and high or MA2 and high 2 -1H/2H 12HL - MA1/2 and high/low 4 -1H/1L/2H/2L 3 -cross of MA1 and MA2 1 123HL -crosses from 12HL or 3 5 -12HL/3 1_ULT - cross of MA1 with any of price sources(close,low,high,ohlc4 etc…) 2_ULT - cross of MA2 with any of price sources(close,low,high,ohlc4 etc…) 123_ULT – all crosses possible of MA1/2 (all of the above so a lot) 7)CRS CONDS: “conditions to reduce value back to zero” >/< - 0 if indicator shows Uptrend and there’s a cross with high of selected MA or 0 if in DNtrend and cross with low. Better for UP/DN trend detection ALL – 0 if cross of MA with high or low no matter the trend, better for detecting consolidation ULT – if any cross of selected MA, most crosses so goes to 0 most often 8)MA selection and CONDS: -MA1: only MA1 is used,if MA1 below price value grows and the other way around MA1price =-0.02 -MA2 – only MA2 is used, same conditions as MA1 but using MA2 MA2price =-0.02 -BOTH – MA1 and MA2 used, grows when MA1 if below, grows faster if MA1 and MA2 are below and fastest when MA1 and MA2 are below and MA2price=-0.02 -MA1 and MA2 >price=-0.03 -MA1 and MA2 ?price and MA2>MA1=-0.04 9)CONDITIONS SELECTION SUMMARRY: So when CUSTOM we choose : 1)SOURCE – H/L or OHLC 2)MAs – MA1/MA2/BOTH 3)CRS CONDS (>/<,ALL,ULT) So for example... if we take MA1 and ALL value will go to zero if 1HL if MA1 and >/< - 0 if 1L or 1H (depending if value is positive or negative).(1L or 1H) If ALL and BOTH zero when 12HL If BOTH and ULT value goes back to zero if Theres any cross of MA1/MA2 with price or cross of MA1 and MA2.(123_ULT) If >/< and BOTH – 0 if 12L in DNtrend or 12H if UPtrend 10) OTHERS -script was created on EURUSD 5M and wasn't tested on different markets -default values of MA1/MA2 aren't optimalized so do not -There might be a logical error in the script so let me know if you find it (most probably in 'BOTH') -thanks to @AlifeToMake for help -if you have any ideas to improve let me know -there are also tooltips to help
Indicatore Pine Script®
di Adam-Szafranski
CNTLibraryLibrary "CNTLibrary" Custom Functions To Help Code In Pinescript V5 Coded By Christian Nataliano First Coded In 10/06/2023 Last Edited In 22/06/2023 Huge Shout Out To © ZenAndTheArtOfTrading and his ZenLibrary V5, Some Of The Custom Functions Were Heavily Inspired By Matt's Work & His Pine Script Mastery Course Another Shout Out To The TradingView's Team Library ta V5 //==================================================================================================================================================== // Custom Indicator Functions //==================================================================================================================================================== GetKAMA(KAMA_lenght, Fast_KAMA, Slow_KAMA)   Calculates An Adaptive Moving Average Based On Perry J Kaufman's Calculations   Parameters:      KAMA_lenght (int) : Is The KAMA Lenght      Fast_KAMA (int) : Is The KAMA's Fastes Moving Average      Slow_KAMA (int) : Is The KAMA's Slowest Moving Average   Returns: Float Of The KAMA's Current Calculations GetMovingAverage(Source, Lenght, Type)   Get Custom Moving Averages Values   Parameters:      Source (float) : Of The Moving Average, Defval = close      Lenght (simple int) : Of The Moving Average, Defval = 50      Type (string) : Of The Moving Average, Defval = Exponential Moving Average   Returns: The Moving Average Calculation Based On Its Given Source, Lenght & Calculation Type (Please Call Function On Global Scope) GetDecimals()   Calculates how many decimals are on the quote price of the current market © ZenAndTheArtOfTrading   Returns: The current decimal places on the market quote price Truncate(number, decimalPlaces)   Truncates (cuts) excess decimal places © ZenAndTheArtOfTrading   Parameters:      number (float)      decimalPlaces (simple float)   Returns: The given number truncated to the given decimalPlaces ToWhole(number)   Converts pips into whole numbers © ZenAndTheArtOfTrading   Parameters:      number (float)   Returns: The converted number ToPips(number)   Converts whole numbers back into pips © ZenAndTheArtOfTrading   Parameters:      number (float)   Returns: The converted number GetPctChange(value1, value2, lookback)   Gets the percentage change between 2 float values over a given lookback period © ZenAndTheArtOfTrading   Parameters:      value1 (float)      value2 (float)      lookback (int) BarsAboveMA(lookback, ma)   Counts how many candles are above the MA © ZenAndTheArtOfTrading   Parameters:      lookback (int)      ma (float)   Returns: The bar count of how many recent bars are above the MA BarsBelowMA(lookback, ma)   Counts how many candles are below the MA © ZenAndTheArtOfTrading   Parameters:      lookback (int)      ma (float)   Returns: The bar count of how many recent bars are below the EMA BarsCrossedMA(lookback, ma)   Counts how many times the EMA was crossed recently © ZenAndTheArtOfTrading   Parameters:      lookback (int)      ma (float)   Returns: The bar count of how many times price recently crossed the EMA GetPullbackBarCount(lookback, direction)   Counts how many green & red bars have printed recently (ie. pullback count) © ZenAndTheArtOfTrading   Parameters:      lookback (int)      direction (int)   Returns: The bar count of how many candles have retraced over the given lookback & direction GetSwingHigh(Lookback, SwingType)   Check If Price Has Made A Recent Swing High   Parameters:      Lookback (int) : Is For The Swing High Lookback Period, Defval = 7      SwingType (int) : Is For The Swing High Type Of Identification, Defval = 1   Returns: A Bool - True If Price Has Made A Recent Swing High GetSwingLow(Lookback, SwingType)   Check If Price Has Made A Recent Swing Low   Parameters:      Lookback (int) : Is For The Swing Low Lookback Period, Defval = 7      SwingType (int) : Is For The Swing Low Type Of Identification, Defval = 1   Returns: A Bool - True If Price Has Made A Recent Swing Low //==================================================================================================================================================== // Custom Risk Management Functions //==================================================================================================================================================== CalculateStopLossLevel(OrderType, Entry, StopLoss)   Calculate StopLoss Level   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      Entry (float) : Is The Entry Level Of The Order, Defval = na      StopLoss (float) : Is The Custom StopLoss Distance, Defval = 2x ATR Below Close   Returns: Float - The StopLoss Level In Actual Price As A CalculateStopLossDistance(OrderType, Entry, StopLoss)   Calculate StopLoss Distance In Pips   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      Entry (float) : Is The Entry Level Of The Order, NEED TO INPUT PARAM      StopLoss (float) : Level Based On Previous Calculation, NEED TO INPUT PARAM   Returns: Float - The StopLoss Value In Pips CalculateTakeProfitLevel(OrderType, Entry, StopLossDistance, RiskReward)   Calculate TakeProfit Level   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      Entry (float) : Is The Entry Level Of The Order, Defval = na      StopLossDistance (float)      RiskReward (float)   Returns: Float - The TakeProfit Level In Actual Price CalculateTakeProfitDistance(OrderType, Entry, TakeProfit)   Get TakeProfit Distance In Pips   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      Entry (float) : Is The Entry Level Of The Order, NEED TO INPUT PARAM      TakeProfit (float) : Level Based On Previous Calculation, NEED TO INPUT PARAM   Returns: Float - The TakeProfit Value In Pips CalculateConversionCurrency(AccountCurrency, SymbolCurrency, BaseCurrency)   Get The Conversion Currecny Between Current Account Currency & Current Pair's Quoted Currency (FOR FOREX ONLY)   Parameters:      AccountCurrency (simple string) : Is For The Account Currency Used      SymbolCurrency (simple string) : Is For The Current Symbol Currency (Front Symbol)      BaseCurrency (simple string) : Is For The Current Symbol Base Currency (Back Symbol)   Returns: Tuple Of A Bollean (Convert The Currency ?) And A String (Converted Currency) CalculateConversionRate(ConvertCurrency, ConversionRate)   Get The Conversion Rate Between Current Account Currency & Current Pair's Quoted Currency (FOR FOREX ONLY)   Parameters:      ConvertCurrency (bool) : Is To Check If The Current Symbol Needs To Be Converted Or Not      ConversionRate (float) : Is The Quoted Price Of The Conversion Currency (Input The request.security Function Here)   Returns: Float Price Of Conversion Rate (If In The Same Currency Than Return Value Will Be 1.0) LotSize(LotSizeSimple, Balance, Risk, SLDistance, ConversionRate)   Get Current Lot Size   Parameters:      LotSizeSimple (bool) : Is To Toggle Lot Sizing Calculation (Simple Is Good Enough For Stocks & Crypto, Whilst Complex Is For Forex)      Balance (float) : Is For The Current Account Balance To Calculate The Lot Sizing Based Off      Risk (float) : Is For The Current Risk Per Trade To Calculate The Lot Sizing Based Off      SLDistance (float) : Is The Current Position StopLoss Distance From Its Entry Price      ConversionRate (float) : Is The Currency Conversion Rate (Used For Complex Lot Sizing Only)   Returns: Float - Position Size In Units ToLots(Units)   Converts Units To Lots   Parameters:      Units (float) : Is For How Many Units Need To Be Converted Into Lots (Minimun 1000 Units)   Returns: Float - Position Size In Lots ToUnits(Lots)   Converts Lots To Units   Parameters:      Lots (float) : Is For How Many Lots Need To Be Converted Into Units (Minimun 0.01 Units)   Returns: Int - Position Size In Units ToLotsInUnits(Units)   Converts Units To Lots Than Back To Units   Parameters:      Units (float) : Is For How Many Units Need To Be Converted Into Lots (Minimun 1000 Units)   Returns: Float - Position Size In Lots That Were Rounded To Units ATRTrail(OrderType, SourceType, ATRPeriod, ATRMultiplyer, SwingLookback)   Calculate ATR Trailing Stop   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      SourceType (int) : Is To Determine Where To Calculate The ATR Trailing From, Defval = close      ATRPeriod (simple int) : Is To Change Its ATR Period, Defval = 20      ATRMultiplyer (float) : Is To Change Its ATR Trailing Distance, Defval = 1      SwingLookback (int) : Is To Change Its Swing HiLo Lookback (Only From Source Type 5), Defval = 7   Returns: Float - Number Of The Current ATR Trailing DangerZone(WinRate, AvgRRR, Filter)   Calculate Danger Zone Of A Given Strategy   Parameters:      WinRate (float) : Is The Strategy WinRate      AvgRRR (float) : Is The Strategy Avg RRR      Filter (float) : Is The Minimum Profit It Needs To Be Out Of BE Zone, Defval = 3   Returns: Int - Value, 1 If Out Of Danger Zone, 0 If BE, -1 If In Danger Zone IsQuestionableTrades(TradeTP, TradeSL)   Checks For Questionable Trades (Which Are Trades That Its TP & SL Level Got Hit At The Same Candle)   Parameters:      TradeTP (float) : Is The Trade In Question Take Profit Level      TradeSL (float) : Is The Trade In Question Stop Loss Level   Returns: Bool - True If The Last Trade Was A "Questionable Trade" //==================================================================================================================================================== // Custom Strategy Functions //==================================================================================================================================================== OpenLong(EntryID, LotSize, LimitPrice, StopPrice, Comment, CommentValue)   Open A Long Order Based On The Given Params   Parameters:      EntryID (string) : Is The Trade Entry ID, Defval = "Long"      LotSize (float) : Is The Lot Size Of The Trade, Defval = 1      LimitPrice (float) : Is The Limit Order Price To Set The Order At, Defval = Na / Market Order Execution      StopPrice (float) : Is The Stop Order Price To Set The Order At, Defval = Na / Market Order Execution      Comment (string) : Is The Order Comment, Defval = Long Entry Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na   Returns: Void OpenShort(EntryID, LotSize, LimitPrice, StopPrice, Comment, CommentValue)   Open A Short Order Based On The Given Params   Parameters:      EntryID (string) : Is The Trade Entry ID, Defval = "Short"      LotSize (float) : Is The Lot Size Of The Trade, Defval = 1      LimitPrice (float) : Is The Limit Order Price To Set The Order At, Defval = Na / Market Order Execution      StopPrice (float) : Is The Stop Order Price To Set The Order At, Defval = Na / Market Order Execution      Comment (string) : Is The Order Comment, Defval = Short Entry Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na   Returns: Void TP_SLExit(FromID, TPLevel, SLLevel, PercentageClose, Comment, CommentValue)   Exits Based On Predetermined TP & SL Levels   Parameters:      FromID (string) : Is The Trade ID That The TP & SL Levels Be Palced      TPLevel (float) : Is The Take Profit Level      SLLevel (float) : Is The StopLoss Level      PercentageClose (float) : Is The Amount To Close The Order At (In Percentage) Defval = 100      Comment (string) : Is The Order Comment, Defval = Exit Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na   Returns: Void CloseLong(ExitID, PercentageClose, Comment, CommentValue, Instant)   Exits A Long Order Based On A Specified Condition   Parameters:      ExitID (string) : Is The Trade ID That Will Be Closed, Defval = "Long"      PercentageClose (float) : Is The Amount To Close The Order At (In Percentage) Defval = 100      Comment (string) : Is The Order Comment, Defval = Exit Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na      Instant (bool) : Is For Exit Execution Type, Defval = false   Returns: Void CloseShort(ExitID, PercentageClose, Comment, CommentValue, Instant)   Exits A Short Order Based On A Specified Condition   Parameters:      ExitID (string) : Is The Trade ID That Will Be Closed, Defval = "Short"      PercentageClose (float) : Is The Amount To Close The Order At (In Percentage) Defval = 100      Comment (string) : Is The Order Comment, Defval = Exit Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na      Instant (bool) : Is For Exit Execution Type, Defval = false   Returns: Void BrokerCheck(Broker)   Checks Traded Broker With Current Loaded Chart Broker   Parameters:      Broker (string) : Is The Current Broker That Is Traded   Returns: Bool - True If Current Traded Broker Is Same As Loaded Chart Broker OpenPC(LicenseID, OrderType, UseLimit, LimitPrice, SymbolPrefix, Symbol, SymbolSuffix, Risk, SL, TP, OrderComment, Spread)   Compiles Given Parameters Into An Alert String Format To Open Trades Using Pine Connector   Parameters:      LicenseID (string) : Is The Users PineConnector LicenseID      OrderType (int) : Is The Desired OrderType To Open      UseLimit (bool) : Is If We Want To Enter The Position At Exactly The Previous Closing Price      LimitPrice (float) : Is The Limit Price Of The Trade (Only For Pending Orders)      SymbolPrefix (string) : Is The Current Symbol Prefix (If Any)      Symbol (string) : Is The Traded Symbol      SymbolSuffix (string) : Is The Current Symbol Suffix (If Any)      Risk (float) : Is The Trade Risk Per Trade / Fixed Lot Sizing      SL (float) : Is The Trade SL In Price / In Pips      TP (float) : Is The Trade TP In Price / In Pips      OrderComment (string) : Is The Executed Trade Comment      Spread (float) : is The Maximum Spread For Execution   Returns: String - Pine Connector Order Syntax Alert Message ClosePC(LicenseID, OrderType, SymbolPrefix, Symbol, SymbolSuffix)   Compiles Given Parameters Into An Alert String Format To Close Trades Using Pine Connector   Parameters:      LicenseID (string) : Is The Users PineConnector LicenseID      OrderType (int) : Is The Desired OrderType To Close      SymbolPrefix (string) : Is The Current Symbol Prefix (If Any)      Symbol (string) : Is The Traded Symbol      SymbolSuffix (string) : Is The Current Symbol Suffix (If Any)   Returns: String - Pine Connector Order Syntax Alert Message //==================================================================================================================================================== // Custom Backtesting Calculation Functions //==================================================================================================================================================== CalculatePNL(EntryPrice, ExitPrice, LotSize, ConversionRate)   Calculates Trade PNL Based On Entry, Eixt & Lot Size   Parameters:      EntryPrice (float) : Is The Trade Entry      ExitPrice (float) : Is The Trade Exit      LotSize (float) : Is The Trade Sizing      ConversionRate (float) : Is The Currency Conversion Rate (Used For Complex Lot Sizing Only)   Returns: Float - The Current Trade PNL UpdateBalance(PrevBalance, PNL)   Updates The Previous Ginve Balance To The Next PNL   Parameters:      PrevBalance (float) : Is The Previous Balance To Be Updated      PNL (float) : Is The Current Trade PNL To Be Added   Returns: Float - The Current Updated PNL CalculateSlpComm(PNL, MaxRate)   Calculates Random Slippage & Commisions Fees Based On The Parameters   Parameters:      PNL (float) : Is The Current Trade PNL      MaxRate (float) : Is The Upper Limit (In Percentage) Of The Randomized Fee   Returns: Float - A Percentage Fee Of The Current Trade PNL UpdateDD(MaxBalance, Balance)   Calculates & Updates The DD Based On Its Given Parameters   Parameters:      MaxBalance (float) : Is The Maximum Balance Ever Recorded      Balance (float) : Is The Current Account Balance   Returns: Float - The Current Strategy DD CalculateWR(TotalTrades, LongID, ShortID)   Calculate The Total, Long & Short Trades Win Rate   Parameters:      TotalTrades (int) : Are The Current Total Trades That The Strategy Has Taken      LongID (string) : Is The Order ID Of The Long Trades Of The Strategy      ShortID (string) : Is The Order ID Of The Short Trades Of The Strategy   Returns: Tuple Of Long WR%, Short WR%, Total WR%, Total Winning Trades, Total Losing Trades, Total Long Trades & Total Short Trades CalculateAvgRRR(WinTrades, LossTrades)   Calculates The Overall Strategy Avg Risk Reward Ratio   Parameters:      WinTrades (int) : Are The Strategy Winning Trades      LossTrades (int) : Are The Strategy Losing Trades   Returns: Float - The Average RRR Values CAGR(StartTime, StartPrice, EndTime, EndPrice)   Calculates The CAGR Over The Given Time Period © TradingView   Parameters:      StartTime (int) : Is The Starting Time Of The Calculation      StartPrice (float) : Is The Starting Price Of The Calculation      EndTime (int) : Is The Ending Time Of The Calculation      EndPrice (float) : Is The Ending Price Of The Calculation   Returns: Float - The CAGR Values //==================================================================================================================================================== // Custom Plot Functions //==================================================================================================================================================== EditLabels(LabelID, X1, Y1, Text, Color, TextColor, EditCondition, DeleteCondition)   Edit / Delete Labels   Parameters:      LabelID (label) : Is The ID Of The Selected Label      X1 (int) : Is The X1 Coordinate IN BARINDEX Xloc      Y1 (float) : Is The Y1 Coordinate IN PRICE Yloc      Text (string) : Is The Text Than Wants To Be Written In The Label      Color (color) : Is The Color Value Change Of The Label Text      TextColor (color)      EditCondition (int) : Is The Edit Condition of The Line (Setting Location / Color)      DeleteCondition (bool) : Is The Delete Condition Of The Line If Ture Deletes The Prev Itteration Of The Line   Returns: Void EditLine(LineID, X1, Y1, X2, Y2, Color, EditCondition, DeleteCondition)   Edit / Delete Lines   Parameters:      LineID (line) : Is The ID Of The Selected Line      X1 (int) : Is The X1 Coordinate IN BARINDEX Xloc      Y1 (float) : Is The Y1 Coordinate IN PRICE Yloc      X2 (int) : Is The X2 Coordinate IN BARINDEX Xloc      Y2 (float) : Is The Y2 Coordinate IN PRICE Yloc      Color (color) : Is The Color Value Change Of The Line      EditCondition (int) : Is The Edit Condition of The Line (Setting Location / Color)      DeleteCondition (bool) : Is The Delete Condition Of The Line If Ture Deletes The Prev Itteration Of The Line   Returns: Void //==================================================================================================================================================== // Custom Display Functions (Using Tables) //==================================================================================================================================================== FillTable(TableID, Column, Row, Title, Value, BgColor, TextColor, ToolTip)   Filling The Selected Table With The Inputed Information   Parameters:      TableID (table) : Is The Table ID That Wants To Be Edited      Column (int) : Is The Current Column Of The Table That Wants To Be Edited      Row (int) : Is The Current Row Of The Table That Wants To Be Edited      Title (string) : Is The String Title Of The Current Cell Table      Value (string) : Is The String Value Of The Current Cell Table      BgColor (color) : Is The Selected Color For The Current Table      TextColor (color) : Is The Selected Color For The Current Table      ToolTip (string) : Is The ToolTip Of The Current Cell In The Table   Returns: Void DisplayBTResults(TableID, BgColor, TextColor, StartingBalance, Balance, DollarReturn, TotalPips, MaxDD)   Filling The Selected Table With The Inputed Information   Parameters:      TableID (table) : Is The Table ID That Wants To Be Edited      BgColor (color) : Is The Selected Color For The Current Table      TextColor (color) : Is The Selected Color For The Current Table      StartingBalance (float) : Is The Account Starting Balance      Balance (float)      DollarReturn (float) : Is The Account Dollar Reture      TotalPips (float) : Is The Total Pips Gained / loss      MaxDD (float) : Is The Maximum Drawdown Over The Backtesting Period   Returns: Void DisplayBTResultsV2(TableID, BgColor, TextColor, TotalWR, QTCount, LongWR, ShortWR, InitialCapital, CumProfit, CumFee, AvgRRR, MaxDD, CAGR, MeanDD)   Filling The Selected Table With The Inputed Information   Parameters:      TableID (table) : Is The Table ID That Wants To Be Edited      BgColor (color) : Is The Selected Color For The Current Table      TextColor (color) : Is The Selected Color For The Current Table      TotalWR (float) : Is The Strategy Total WR In %      QTCount (int) : Is The Strategy Questionable Trades Count      LongWR (float) : Is The Strategy Total WR In %      ShortWR (float) : Is The Strategy Total WR In %      InitialCapital (float) : Is The Strategy Initial Starting Capital      CumProfit (float) : Is The Strategy Ending Cumulative Profit      CumFee (float) : Is The Strategy Ending Cumulative Fee (Based On Randomized Fee Assumptions)      AvgRRR (float) : Is The Strategy Average Risk Reward Ratio      MaxDD (float) : Is The Strategy Maximum DrawDown In Its Backtesting Period      CAGR (float) : Is The Strategy Compounded Average GRowth In %      MeanDD (float) : Is The Strategy Mean / Average Drawdown In The Backtesting Period   Returns: Void //==================================================================================================================================================== // Custom Pattern Detection Functions //==================================================================================================================================================== BullFib(priceLow, priceHigh, fibRatio)   Calculates A Bullish Fibonacci Value (From Swing Low To High) © ZenAndTheArtOfTrading   Parameters:      priceLow (float)      priceHigh (float)      fibRatio (float)   Returns: The Fibonacci Value Of The Given Ratio Between The Two Price Points BearFib(priceLow, priceHigh, fibRatio)   Calculates A Bearish Fibonacci Value (From Swing High To Low) © ZenAndTheArtOfTrading   Parameters:      priceLow (float)      priceHigh (float)      fibRatio (float)   Returns: The Fibonacci Value Of The Given Ratio Between The Two Price Points GetBodySize()   Gets The Current Candle Body Size IN POINTS © ZenAndTheArtOfTrading   Returns: The Current Candle Body Size IN POINTS GetTopWickSize()   Gets The Current Candle Top Wick Size IN POINTS © ZenAndTheArtOfTrading   Returns: The Current Candle Top Wick Size IN POINTS GetBottomWickSize()   Gets The Current Candle Bottom Wick Size IN POINTS © ZenAndTheArtOfTrading   Returns: The Current Candle Bottom Wick Size IN POINTS GetBodyPercent()   Gets The Current Candle Body Size As A Percentage Of Its Entire Size Including Its Wicks © ZenAndTheArtOfTrading   Returns: The Current Candle Body Size IN PERCENTAGE GetTopWickPercent()   Gets The Current Top Wick Size As A Percentage Of Its Entire Body Size   Returns: Float - The Current Candle Top Wick Size IN PERCENTAGE GetBottomWickPercent()   Gets The Current Bottom Wick Size As A Percentage Of Its Entire Bodu Size   Returns: Float - The Current Candle Bottom Size IN PERCENTAGE BullishEC(Allowance, RejectionWickSize, EngulfWick, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Bullish Engulfing Candle   Parameters:      Allowance (int) : To Give Flexibility Of Engulfing Pattern Detection In Markets That Have Micro Gaps, Defval = 0      RejectionWickSize (float) : To Filter Out long (Upper And Lower) Wick From The Bullsih Engulfing Pattern, Defval = na      EngulfWick (bool) : To Specify If We Want The Pattern To Also Engulf Its Upper & Lower Previous Wicks, Defval = false      NearSwings (bool) : To Specify If We Want The Pattern To Be Near A Recent Swing Low, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing Low, Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Bullish Engulfing Candle BearishEC(Allowance, RejectionWickSize, EngulfWick, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Bearish Engulfing Candle   Parameters:      Allowance (int) : To Give Flexibility Of Engulfing Pattern Detection In Markets That Have Micro Gaps, Defval = 0      RejectionWickSize (float) : To Filter Out long (Upper And Lower) Wick From The Bearish Engulfing Pattern, Defval = na      EngulfWick (bool) : To Specify If We Want The Pattern To Also Engulf Its Upper & Lower Previous Wicks, Defval = false      NearSwings (bool) : To Specify If We Want The Pattern To Be Near A Recent Swing High, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing High, Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Bearish Engulfing Candle Hammer(Fib, ColorMatch, NearSwings, SwingLookBack, ATRFilterCheck, ATRPeriod)   Checks If The Current Bar Is A Hammer Candle   Parameters:      Fib (float) : To Specify Which Fibonacci Ratio To Use When Determining The Hammer Candle, Defval = 0.382 Ratio      ColorMatch (bool) : To Filter Only Bullish Closed Hammer Candle Pattern, Defval = false      NearSwings (bool) : To Specify If We Want The Doji To Be Near A Recent Swing Low, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing Low, Defval = 10      ATRFilterCheck (float) : To Filter Smaller Hammer Candles That Might Be Better Classified As A Doji Candle, Defval = 1      ATRPeriod (simple int) : To Change ATR Period Of The ATR Filter, Defval = 20   Returns: Bool - True If The Current Bar Matches The Requirements of a Hammer Candle Star(Fib, ColorMatch, NearSwings, SwingLookBack, ATRFilterCheck, ATRPeriod)   Checks If The Current Bar Is A Hammer Candle   Parameters:      Fib (float) : To Specify Which Fibonacci Ratio To Use When Determining The Hammer Candle, Defval = 0.382 Ratio      ColorMatch (bool) : To Filter Only Bullish Closed Hammer Candle Pattern, Defval = false      NearSwings (bool) : To Specify If We Want The Doji To Be Near A Recent Swing Low, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing Low, Defval = 10      ATRFilterCheck (float) : To Filter Smaller Hammer Candles That Might Be Better Classified As A Doji Candle, Defval = 1      ATRPeriod (simple int) : To Change ATR Period Of The ATR Filter, Defval = 20   Returns: Bool - True If The Current Bar Matches The Requirements of a Hammer Candle Doji(MaxWickSize, MaxBodySize, DojiType, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Doji Candle   Parameters:      MaxWickSize (float) : To Specify The Maximum Lenght Of Its Upper & Lower Wick, Defval = 2      MaxBodySize (float) : To Specify The Maximum Lenght Of Its Candle Body IN PERCENT, Defval = 0.05      DojiType (int)      NearSwings (bool) : To Specify If We Want The Doji To Be Near A Recent Swing High / Low (Only In Dragonlyf / Gravestone Mode), Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing High / Low (Only In Dragonlyf / Gravestone Mode), Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Doji Candle BullishIB(Allowance, RejectionWickSize, EngulfWick, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Bullish Harami Candle   Parameters:      Allowance (int) : To Give Flexibility Of Harami Pattern Detection In Markets That Have Micro Gaps, Defval = 0      RejectionWickSize (float) : To Filter Out long (Upper And Lower) Wick From The Bullsih Harami Pattern, Defval = na      EngulfWick (bool) : To Specify If We Want The Pattern To Also Engulf Its Upper & Lower Previous Wicks, Defval = false      NearSwings (bool) : To Specify If We Want The Pattern To Be Near A Recent Swing Low, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing Low, Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Bullish Harami Candle BearishIB(Allowance, RejectionWickSize, EngulfWick, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Bullish Harami Candle   Parameters:      Allowance (int) : To Give Flexibility Of Harami Pattern Detection In Markets That Have Micro Gaps, Defval = 0      RejectionWickSize (float) : To Filter Out long (Upper And Lower) Wick From The Bearish Harami Pattern, Defval = na      EngulfWick (bool) : To Specify If We Want The Pattern To Also Engulf Its Upper & Lower Previous Wicks, Defval = false      NearSwings (bool) : To Specify If We Want The Pattern To Be Near A Recent Swing High, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing High, Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Bearish Harami Candle //==================================================================================================================================================== // Custom Time Functions //==================================================================================================================================================== BarInSession(sess, useFilter)   Determines if the current price bar falls inside the specified session © ZenAndTheArtOfTrading   Parameters:      sess (simple string)      useFilter (bool)   Returns: A boolean - true if the current bar falls within the given time session BarOutSession(sess, useFilter)   Determines if the current price bar falls outside the specified session © ZenAndTheArtOfTrading   Parameters:      sess (simple string)      useFilter (bool)   Returns: A boolean - true if the current bar falls outside the given time session DateFilter(startTime, endTime)   Determines if this bar's time falls within date filter range © ZenAndTheArtOfTrading   Parameters:      startTime (int)      endTime (int)   Returns: A boolean - true if the current bar falls within the given dates DayFilter(monday, tuesday, wednesday, thursday, friday, saturday, sunday)   Checks if the current bar's day is in the list of given days to analyze © ZenAndTheArtOfTrading   Parameters:      monday (bool)      tuesday (bool)      wednesday (bool)      thursday (bool)      friday (bool)      saturday (bool)      sunday (bool)   Returns: A boolean - true if the current bar's day is one of the given days AUSSess()   Checks If The Current Australian Forex Session In Running   Returns: Bool - True If Currently The Australian Session Is Running ASIASess()   Checks If The Current Asian Forex Session In Running   Returns: Bool - True If Currently The Asian Session Is Running EURSess()   Checks If The Current European Forex Session In Running   Returns: Bool - True If Currently The European Session Is Running USSess()   Checks If The Current US Forex Session In Running   Returns: Bool - True If Currently The US Session Is Running UNIXToDate(Time, ConversionType, TimeZone)   Converts UNIX Time To Datetime   Parameters:      Time (int) : Is The UNIX Time Input      ConversionType (int) : Is The Datetime Output Format, Defval = DD-MM-YYYY      TimeZone (string) : Is To Convert The Outputed Datetime Into The Specified Time Zone, Defval = Exchange Time Zone   Returns: String - String Of Datetime
Libreria Pine Script®
di CN_FX-999
Wavemeter [theEccentricTrader]█   OVERVIEW This indicator is a representation of my take on price action based wave cycle theory. The indicator counts the number of confirmed wave cycles, keeps a rolling tally of the average wave length, wave height and frequency, and displays the statistics in a table. The indicator also displays the current wave measurements as an optional feature. █   CONCEPTS Green and Red Candles • A green candle is one that closes with a high price equal to or above the price it opened. • A red candle is one that closes with a low price that is lower than the price it opened. Swing Highs and Swing Lows • A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak. • A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough. Peak and Trough Prices (Basic) • The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher. • The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower. Historic Peaks and Troughs The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one. Wave Cycles A wave cycle is here defined as a complete two-part move between a swing high and a swing low, or a swing low and a swing high. As can be seen in the example above, the first swing high or swing low will set the course for the sequence of wave cycles that follow; a chart that begins with a swing low will form its first complete wave cycle upon the formation of the first complete swing high and vice versa. Wave Length Wave length is here measured in terms of bar distance between the start and end of a wave cycle. For example, if the current wave cycle ends on a swing low the wave length will be the difference in bars between the current swing low and current swing high. In such a case, if the current swing low completes on candle 100 and the current swing high completed on candle 95, we would simply subtract 95 from 100 to give us a wave length of 5 bars. Average wave length is here measured in terms of total bars as a proportion as total waves. The average wavelength is calculated by dividing the total candles by the total wave cycles. Wave Height Wave height is here measured in terms of current range. For example, if the current peak price is 100 and the current trough price is 80, the wave height will be 20. Amplitude Amplitude is here measured in terms of current range divided by two. For example if the current peak price is 100 and the current trough price is 80, the amplitude would be calculated by subtracting 80 from 100 and dividing the answer by 2 to give us an amplitude of 10. Frequency Frequency is here measured in terms of wave cycles per second (Hertz). For example, if the total wave cycle count is 10 and the amount of time it has taken to complete these 10 cycles is 1-year (31,536,000 seconds), the frequency would be calculated by dividing 10 by 31,536,000 to give us a frequency of 0.00000032 Hz. Range The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips. █   FEATURES Inputs Show Sample Period Start Date End Date Position Text Size Show Current Show Lines Table The table is colour coded, consists of two columns and, as many as, nine rows. Blue cells display the total wave cycle count and average wave measurements. Green cells display the current wave measurements. And the final row in column one, coloured black, displays the sample period. Both current wave measurements and sample period cells can be hidden at the user’s discretion. Lines For a visual aid to the wave cycles, I have added a blue line that traces out the waves on the chart. These lines can be hidden at the user’s discretion. █   HOW TO USE The indicator is intended for research purposes, strategy development and strategy optimisation. I hope it will be useful in helping to gain a better understanding of the underlying dynamics at play on any given market and timeframe. For example, the indicator can be used to compare the current range and frequency with the average range and frequency, which can be useful for gauging current market conditions versus historic and getting a feel for how different markets and timeframes behave. █   LIMITATIONS Some higher timeframe candles on tickers with larger lookbacks such as the DXY , do not actually contain all the open, high, low and close (OHLC) data at the beginning of the chart. Instead, they use the close price for open, high and low prices. So, while we can determine whether the close price is higher or lower than the preceding close price, there is no way of knowing what actually happened intra-bar for these candles. And by default candles that close at the same price as the open price, will be counted as green. You can avoid this problem by utilising the sample period filter. The green and red candle calculations are based solely on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with. Alternatively, you can replace the scenarios with your own logic to account for the gap anomalies, if you are feeling up to the challenge. It is also worth noting that the sample size will be limited to your Trading View subscription plan. Premium users get 20,000 candles worth of data, pro+ and pro users get 10,000, and basic users get 5,000. If upgrading is currently not an option, you can always keep a rolling tally of the statistics in an excel spreadsheet or something of the like.
Indicatore Pine Script®
di theEccentricTrader
Candle Counter [theEccentricTrader]█   OVERVIEW This indicator counts the number of confirmed candle scenarios on any given candlestick chart and displays the statistics in a table, which can be repositioned and resized at the user's discretion. █   CONCEPTS Green and Red Candles A green candle is one that closes with a high price equal to or above the price it opened. A red candle is one that closes with a low price that is lower than the price it opened. Upper Candle Trends A higher high candle is one that closes with a higher high price than the high price of the preceding candle. A lower high candle is one that closes with a lower high price than the high price of the preceding candle. A double-top candle is one that closes with a high price that is equal to the high price of the preceding candle. Lower Candle Trends A higher low candle is one that closes with a higher low price than the low price of the preceding candle. A lower low candle is one that closes with a lower low price than the low price of the preceding candle. A double-bottom candle is one that closes with a low price that is equal to the low price of the preceding candle. █   FEATURES Inputs Start Date End Date Position Text Size Show Sample Period Show Plots Table The table is colour coded, consists of three columns and twenty-two rows. Blue cells denote all candle scenarios, green cells denote green candle scenarios and red cells denote red candle scenarios. The candle scenarios are listed in the first column with their corresponding total counts to the right, in the second column. The last row in column one, row twenty-two, displays the sample period which can be adjusted or hidden via indicator settings. Rows two and three in the third column of the table display the total green and red candles as percentages of total candles. Rows four to nine in column three, coloured blue, display the corresponding candle scenarios as percentages of total candles. Rows ten to fifteen in column three, coloured green, display the corresponding candle scenarios as percentages of total green candles. And lastly, rows sixteen to twenty-one in column three, coloured red, display the corresponding candle scenarios as percentages of total red candles. Plots I have added plots as a visual aid to the various candle scenarios listed in the table. Green up-arrows denote higher high candles when above bar and higher low candles when below bar. Red down-arrows denote lower high candles when above bar and lower low candles when below bar. Similarly, blue diamonds when above bar denote double-top candles and when below bar denote double-bottom candles. These plots can also be hidden via indicator settings. █   HOW TO USE This indicator is intended for research purposes and strategy development. I hope it will be useful in helping to gain a better understanding of the underlying dynamics at play on any given market and timeframe. It can, for example, give you an idea of any inherent biases such as a greater proportion of green candles to red. Or a greater proportion of higher low green candles to lower low green candles. Such information can be very useful when conducting top down analysis across multiple timeframes, or considering trailing stop loss methods. What you do with these statistics and how far you decide to take your research is entirely up to you, the possibilities are endless. This is just the first and most basic in a series of indicators that can be used to study objective price action scenarios and develop a systematic approach to trading. █   LIMITATIONS Some higher timeframe candles on tickers with larger lookbacks such as the DXY, do not actually contain all the open, high, low and close (OHLC) data at the beginning of the chart. Instead, they use the close price for open, high and low prices. So, while we can determine whether the close price is higher or lower than the preceding close price, there is no way of knowing what actually happened intra-bar for these candles. And by default candles that close at the same price as the open price, will be counted as green. You can avoid this problem by utilising the sample period filter. The green and red candle calculations are based solely on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with. Alternatively, you can replace the scenarios with your own logic to account for the gap anomalies, if you are feeling up to the challenge. It is also worth noting that the sample size will be limited to your Trading View subscription plan. Premium users get 20,000 candles worth of data, pro+ and pro users get 10,000, and basic users get 5,000. If upgrading is currently not an option, you can always keep a rolling tally of the statistics in an excel spreadsheet or something of the like.
Indicatore Pine Script®
di theEccentricTrader
2
MomentumIndicatorsLibrary "MomentumIndicators" This is a library of 'Momentum Indicators', also denominated as oscillators. The purpose of this library is to organize momentum indicators in just one place, making it easy to access. In addition, it aims to allow customized versions, not being restricted to just the price value. An example of this use case is the popular Stochastic RSI. # Indicators: 1. Relative Strength Index (RSI): Measures the relative strength of recent price gains to recent price losses of an asset. 2. Rate of Change (ROC): Measures the percentage change in price of an asset over a specified time period. 3. Stochastic Oscillator (Stoch): Compares the current price of an asset to its price range over a specified time period. 4. True Strength Index (TSI): Measures the price change, calculating the ratio of the price change (positive or negative) in relation to the absolute price change. The values of both are smoothed twice to reduce noise, and the final result is normalized in a range between 100 and -100. 5. Stochastic Momentum Index (SMI): Combination of the True Strength Index with a signal line to help identify turning points in the market. 6. Williams Percent Range (Williams %R): Compares the current price of an asset to its highest high and lowest low over a specified time period. 7. Commodity Channel Index (CCI): Measures the relationship between an asset's current price and its moving average. 8. Ultimate Oscillator (UO): Combines three different time periods to help identify possible reversal points. 9. Moving Average Convergence/Divergence (MACD): Shows the difference between short-term and long-term exponential moving averages. 10. Fisher Transform (FT): Normalize prices into a Gaussian normal distribution. 11. Inverse Fisher Transform (IFT): Transform the values of the Fisher Transform into a smaller and more easily interpretable scale is through the application of an inverse transformation to the hyperbolic tangent function. This transformation takes the values of the FT, which range from -infinity to +infinity, to a scale limited between -1 and +1, allowing them to be more easily visualized and compared. 12. Premier Stochastic Oscillator (PSO): Normalizes the standard stochastic oscillator by applying a five-period double exponential smoothing average of the %K value, resulting in a symmetric scale of 1 to -1 # Indicators of indicators: ## Stochastic: 1. Stochastic of RSI (Relative Strengh Index) 2. Stochastic of ROC (Rate of Change) 3. Stochastic of UO (Ultimate Oscillator) 4. Stochastic of TSI (True Strengh Index) 5. Stochastic of Williams R% 6. Stochastic of CCI (Commodity Channel Index). 7. Stochastic of MACD (Moving Average Convergence/Divergence) 8. Stochastic of FT (Fisher Transform) 9. Stochastic of Volume 10. Stochastic of MFI (Money Flow Index) 11. Stochastic of On OBV (Balance Volume) 12. Stochastic of PVI (Positive Volume Index) 13. Stochastic of NVI (Negative Volume Index) 14. Stochastic of PVT (Price-Volume Trend) 15. Stochastic of VO (Volume Oscillator) 16. Stochastic of VROC (Volume Rate of Change) ## Inverse Fisher Transform: 1.Inverse Fisher Transform on RSI (Relative Strengh Index) 2.Inverse Fisher Transform on ROC (Rate of Change) 3.Inverse Fisher Transform on UO (Ultimate Oscillator) 4.Inverse Fisher Transform on Stochastic 5.Inverse Fisher Transform on TSI (True Strength Index) 6.Inverse Fisher Transform on CCI (Commodity Channel Index) 7.Inverse Fisher Transform on Fisher Transform (FT) 8.Inverse Fisher Transform on MACD (Moving Average Convergence/Divergence) 9.Inverse Fisher Transfor on Williams R% (Williams Percent Range) 10.Inverse Fisher Transfor on CMF (Chaikin Money Flow) 11.Inverse Fisher Transform on VO (Volume Oscillator) 12.Inverse Fisher Transform on VROC (Volume Rate of Change) ## Stochastic Momentum Index: 1.Stochastic Momentum Index of RSI (Relative Strength Index) 2.Stochastic Momentum Index of ROC (Rate of Change) 3.Stochastic Momentum Index of VROC (Volume Rate of Change) 4.Stochastic Momentum Index of Williams R% (Williams Percent Range) 5.Stochastic Momentum Index of FT (Fisher Transform) 6.Stochastic Momentum Index of CCI (Commodity Channel Index) 7.Stochastic Momentum Index of UO (Ultimate Oscillator) 8.Stochastic Momentum Index of MACD (Moving Average Convergence/Divergence) 9.Stochastic Momentum Index of Volume 10.Stochastic Momentum Index of MFI (Money Flow Index) 11.Stochastic Momentum Index of CMF (Chaikin Money Flow) 12.Stochastic Momentum Index of On Balance Volume (OBV) 13.Stochastic Momentum Index of Price-Volume Trend (PVT) 14.Stochastic Momentum Index of Volume Oscillator (VO) 15.Stochastic Momentum Index of Positive Volume Index (PVI) 16.Stochastic Momentum Index of Negative Volume Index (NVI) ## Relative Strength Index: 1. RSI for Volume 2. RSI for Moving Average rsi(source, length)   RSI (Relative Strengh Index). Measures the relative strength of recent price gains to recent price losses of an asset.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length : (int) Period of loopback   Returns: (float) Series of RSI roc(source, length)   ROC (Rate of Change). Measures the percentage change in price of an asset over a specified time period.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length : (int) Period of loopback   Returns: (float) Series of ROC stoch(kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Stochastic Oscillator. Compares the current price of an asset to its price range over a specified time period.   Parameters:      kLength      kSmoothing : (int) Period for smoothig stochastic      dSmoothing : (int) Period for signal (moving average of stochastic)      maTypeK : (int) Type of Moving Average for Stochastic Oscillator      maTypeD : (int) Type of Moving Average for Stochastic Oscillator Signal      almaOffsetKD : (float) Offset for Arnaud Legoux Moving Average for Oscillator and Signal      almaSigmaKD : (float) Sigma for Arnaud Legoux Moving Average for Oscillator and Signal      lsmaOffSetKD : (int) Offset for Least Squares Moving Average for Oscillator and Signal   Returns: A tuple of Stochastic Oscillator and Moving Average of Stochastic Oscillator stoch(source, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Stochastic Oscillator. Customized source. Compares the current price of an asset to its price range over a specified time period.   Parameters:      source : (float) Source of series (close, high, low, etc.)      kLength : (int) Period of loopback to calculate the stochastic      kSmoothing : (int) Period for smoothig stochastic      dSmoothing : (int) Period for signal (moving average of stochastic)      maTypeK : (int) Type of Moving Average for Stochastic Oscillator      maTypeD : (int) Type of Moving Average for Stochastic Oscillator Signal      almaOffsetKD : (float) Offset for Arnaud Legoux Moving Average for Stoch and Signal      almaSigmaKD : (float) Sigma for Arnaud Legoux Moving Average for Stoch and Signal      lsmaOffSetKD : (int) Offset for Least Squares Moving Average for Stoch and Signal   Returns: A tuple of Stochastic Oscillator and Moving Average of Stochastic Oscillator tsi(source, shortLength, longLength, maType, almaOffset, almaSigma, lsmaOffSet)   TSI (True Strengh Index). Measures the price change, calculating the ratio of the price change (positive or negative) in relation to the absolute price change. The values of both are smoothed twice to reduce noise, and the final result is normalized in a range between 100 and -100.   Parameters:      source : (float) Source of series (close, high, low, etc.)      shortLength : (int) Short length      longLength : (int) Long length      maType : (int) Type of Moving Average for TSI      almaOffset : (float) Offset for Arnaud Legoux Moving Average      almaSigma : (float) Sigma for Arnaud Legoux Moving Average      lsmaOffSet : (int) Offset for Least Squares Moving Average   Returns: (float) TSI smi(sourceTSI, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   SMI (Stochastic Momentum Index). A TSI (True Strengh Index) plus a signal line.   Parameters:      sourceTSI : (float) Source of series for TSI (close, high, low, etc.)      shortLengthTSI : (int) Short length for TSI      longLengthTSI : (int) Long length for TSI      maTypeTSI : (int) Type of Moving Average for Signal of TSI      almaOffsetTSI : (float) Offset for Arnaud Legoux Moving Average      almaSigmaTSI : (float) Sigma for Arnaud Legoux Moving Average      lsmaOffSetTSI : (int) Offset for Least Squares Moving Average      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal   Returns: A tuple with TSI, signal of TSI and histogram of difference wpr(source, length)   Williams R% (Williams Percent Range). Compares the current price of an asset to its highest high and lowest low over a specified time period.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length : (int) Period of loopback   Returns: (float) Series of Williams R% cci(source, length, maType, almaOffset, almaSigma, lsmaOffSet)   CCI (Commodity Channel Index). Measures the relationship between an asset's current price and its moving average.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length : (int) Period of loopback      maType : (int) Type of Moving Average      almaOffset : (float) Offset for Arnaud Legoux Moving Average      almaSigma : (float) Sigma for Arnaud Legoux Moving Average      lsmaOffSet : (int) Offset for Least Squares Moving Average   Returns: (float) Series of CCI ultimateOscillator(fastLength, middleLength, slowLength)   UO (Ultimate Oscilator). Combines three different time periods to help identify possible reversal points.   Parameters:      fastLength : (int) Fast period of loopback      middleLength : (int) Middle period of loopback      slowLength : (int) Slow period of loopback   Returns: (float) Series of Ultimate Oscilator ultimateOscillator(source, fastLength, middleLength, slowLength)   UO (Ultimate Oscilator). Customized source. Combines three different time periods to help identify possible reversal points.   Parameters:      source : (float) Source of series (close, high, low, etc.)      fastLength : (int) Fast period of loopback      middleLength : (int) Middle period of loopback      slowLength : (int) Slow period of loopback   Returns: (float) Series of Ultimate Oscilator macd(source, fastLength, slowLength, signalLength, maTypeFast, maTypeSlow, maTypeMACD, almaOffset, almaSigma, lsmaOffSet)   MACD (Moving Average Convergence/Divergence). Shows the difference between short-term and long-term exponential moving averages.   Parameters:      source : (float) Source of series (close, high, low, etc.)      fastLength : (int) Period for fast moving average      slowLength : (int) Period for slow moving average      signalLength : (int) Signal length      maTypeFast : (int) Type of fast moving average      maTypeSlow : (int) Type of slow moving average      maTypeMACD : (int) Type of MACD moving average      almaOffset : (float) Offset for Arnaud Legoux Moving Average      almaSigma : (float) Sigma for Arnaud Legoux Moving Average      lsmaOffSet : (int) Offset for Least Squares Moving Average   Returns: A tuple with MACD, Signal, and Histgram fisher(length)   Fisher Transform. Normalize prices into a Gaussian normal distribution.   Parameters:      length   Returns: A tuple with Fisher Transform and signal fisher(source, length)   Fisher Transform. Customized source. Normalize prices into a Gaussian normal distribution.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length   Returns: A tuple with Fisher Transform and signal inverseFisher(source, length, subtrahend, denominator)   Inverse Fisher Transform. Transform the values of the Fisher Transform into a smaller and more easily interpretable scale is through the application of an inverse transformation to the hyperbolic tangent function. This transformation takes the values of the FT, which range from -infinity to +infinity, to a scale limited between -1 and +1, allowing them to be more easily visualized and compared.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length : (int) Period for loopback      subtrahend : (int) Denominator. Useful in unbounded indicators. For example, in CCI.      denominator   Returns: (float) Series of Inverse Fisher Transform premierStoch(length, smoothlen)   Premier Stochastic Oscillator (PSO). Normalizes the standard stochastic oscillator by applying a five-period double exponential smoothing average of the %K value, resulting in a symmetric scale of 1 to -1.   Parameters:      length : (int) Period for loopback      smoothlen : (int) Period for smoothing   Returns: (float) Series of PSO premierStoch(source, smoothlen, subtrahend, denominator)   Premier Stochastic Oscillator (PSO) of custom source. Normalizes the source by applying a five-period double exponential smoothing average.   Parameters:      source : (float) Source of series (close, high, low, etc.)      smoothlen : (int) Period for smoothing      subtrahend : (int) Denominator. Useful in unbounded indicators. For example, in CCI.      denominator   Returns: (float) Series of PSO stochRsi(sourceRSI, lengthRSI, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      sourceRSI      lengthRSI      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochRoc(sourceROC, lengthROC, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      sourceROC      lengthROC      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochUO(fastLength, middleLength, slowLength, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      fastLength      middleLength      slowLength      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochTSI(source, shortLength, longLength, maType, almaOffset, almaSigma, lsmaOffSet, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      shortLength      longLength      maType      almaOffset      almaSigma      lsmaOffSet      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochWPR(source, length, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      length      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochCCI(source, length, maType, almaOffset, almaSigma, lsmaOffSet, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      length      maType      almaOffset      almaSigma      lsmaOffSet      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochMACD(source, fastLength, slowLength, signalLength, maTypeFast, maTypeSlow, maTypeMACD, almaOffset, almaSigma, lsmaOffSet, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      fastLength      slowLength      signalLength      maTypeFast      maTypeSlow      maTypeMACD      almaOffset      almaSigma      lsmaOffSet      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochFT(length, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      length      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochVolume(kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochMFI(source, length, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      length      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochOBV(source, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochPVI(source, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochNVI(source, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochPVT(source, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochVO(shortLen, longLen, maType, almaOffset, almaSigma, lsmaOffSet, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      shortLen      longLen      maType      almaOffset      almaSigma      lsmaOffSet      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochVROC(length, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      length      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD iftRSI(sourceRSI, lengthRSI, lengthIFT)   Parameters:      sourceRSI      lengthRSI      lengthIFT iftROC(sourceROC, lengthROC, lengthIFT)   Parameters:      sourceROC      lengthROC      lengthIFT iftUO(fastLength, middleLength, slowLength, lengthIFT)   Parameters:      fastLength      middleLength      slowLength      lengthIFT iftStoch(kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD, lengthIFT)   Parameters:      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD      lengthIFT iftTSI(source, shortLength, longLength, maType, almaOffset, almaSigma, lsmaOffSet, lengthIFT)   Parameters:      source      shortLength      longLength      maType      almaOffset      almaSigma      lsmaOffSet      lengthIFT iftCCI(source, length, maType, almaOffset, almaSigma, lsmaOffSet, lengthIFT)   Parameters:      source      length      maType      almaOffset      almaSigma      lsmaOffSet      lengthIFT iftFisher(length, lengthIFT)   Parameters:      length      lengthIFT iftMACD(source, fastLength, slowLength, signalLength, maTypeFast, maTypeSlow, maTypeMACD, almaOffset, almaSigma, lsmaOffSet, lengthIFT)   Parameters:      source      fastLength      slowLength      signalLength      maTypeFast      maTypeSlow      maTypeMACD      almaOffset      almaSigma      lsmaOffSet      lengthIFT iftWPR(source, length, lengthIFT)   Parameters:      source      length      lengthIFT iftMFI(source, length, lengthIFT)   Parameters:      source      length      lengthIFT iftCMF(length, lengthIFT)   Parameters:      length      lengthIFT iftVO(shortLen, longLen, maType, almaOffset, almaSigma, lsmaOffSet, lengthIFT)   Parameters:      shortLen      longLen      maType      almaOffset      almaSigma      lsmaOffSet      lengthIFT iftVROC(length, lengthIFT)   Parameters:      length      lengthIFT smiRSI(source, length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiROC(source, length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiVROC(length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiWPR(source, length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiFT(length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiFT(source, length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiCCI(source, length, maTypeCCI, almaOffsetCCI, almaSigmaCCI, lsmaOffSetCCI, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      maTypeCCI      almaOffsetCCI      almaSigmaCCI      lsmaOffSetCCI      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiUO(fastLength, middleLength, slowLength, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      fastLength      middleLength      slowLength      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiMACD(source, fastLength, slowLength, signalLength, maTypeFast, maTypeSlow, maTypeMACD, almaOffset, almaSigma, lsmaOffSet, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      fastLength      slowLength      signalLength      maTypeFast      maTypeSlow      maTypeMACD      almaOffset      almaSigma      lsmaOffSet      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiVol(shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiMFI(source, length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiCMF(length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiOBV(source, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiPVT(source, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiVO(shortLen, longLen, maType, almaOffset, almaSigma, lsmaOffSet, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      shortLen      longLen      maType      almaOffset      almaSigma      lsmaOffSet      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiPVI(source, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiNVI(source, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal rsiVolume(length)   Parameters:      length rsiMA(sourceMA, lengthMA, maType, almaOffset, almaSigma, lsmaOffSet, lengthRSI)   Parameters:      sourceMA      lengthMA      maType      almaOffset      almaSigma      lsmaOffSet      lengthRSI
Libreria Pine Script®
di andre_007
6
TRADING MADE SIMPLEThis indicator shows market structure. The standard method of using Williams Highs and Lows as pivots, is something of an approximation. What's original here is that we follow rules to confirm Local Highs and Local Lows, and strictly enforce that a Low can only follow a confirmed High and vice-versa. -- Highs and Lows To confirm a candle as a Local High, you need a later candle to Close below its Low. To confirm a Local Low, you need a Close above its High. A Low can only follow a High (after it's been confirmed). You can't go e.g High, High, Low, Low, only High, Low, High, Low. When price makes Higher Highs and Higher Lows, market structure is said to be bullish. When price makes Lower Lows and Lower Highs, it's bearish. I've defined the in-between Highs and Lows as "Ranging", meaning, neutral. They could be trend continuation or reversal. -- Bullish/Bearish Breaks A Bullish break in market structure is when the Close of the current candle goes higher than the previous confirmed Local High. A Bearish Break is when the Close of the current candle goes lower than the most recent confirmed Local Low. I chose to use Close rather than High to reduce edge case weirdness. The breaking candle often ends up being a big one, thus the close of that candle can be a poor entry. You can get live warnings by setting the alert to Options: Only Once, because during a candle, the current price is taken as the Close. Breaks are like early warnings of a change in market bias, because you're not waiting for a High or Low to be formed and confirmed. Buy The Dip / Sell The Rally Buy The Dip is a label I gave to the first Higher Low in a bullish market structure. Sell The Rally is the first Lower High in a bearish market structure. These *might* be good buying/selling opportunities, but you still need to do your own analysis to confirm that. == USAGE == The point of knowing market structure is so you don't make bullish bets in a bearish market and vice versa - or if you do at least you're aware that that's what you're doing, and hopefully have some overwhelmingly good reason to do so. These are not signals to be traded on their own. You still need a trade thesis. Use with support & resistance and your other favourite indicators. Works on any market on any timeframe. Be aware that market structure will be different on different timeframes. IMPORTANT: If you're not seeing what you expect, check your settings and re-read this entire description carefully. Confirming Highs and Lows can get deceptively complex.
Indicatore Pine Script®
di cashofbne
11
Dekidaka-Ashi - Candles And Volume Teaming Up (Again)The introduction of candlestick methods for market price data visualization might be one of the most important events in the history of technical analysis, as it totally changed the way to see a trading chart. Candlestick charts are extremely efficient, as they allow the trader to visualize the opening, high, low and closing price (OHLC) each at the same time, something impossible with a traditional line chart. Candlesticks are also cleaner than bars charts and make a more efficient use of space. Japanese peoples are always better than everyone at an incredible amount of stuff, look at what they made, the candlesticks/renko/kagi/heikin-ashi charts, the Ichimoku, manga, ecchi... However classical candlesticks only include historical market price data, and won't include other type of data such as volume, which is considered by many investors a key information toward effective financial forecasting as volume is an indicator of trading activity. In order to tackle to this problem solutions where proposed, the most common one being to adapt the width of the candle based on the amount of volume, this method is the most commonly accepted one when it comes to visualizing both volume and OHLC data using candlesticks. Now why proposing an additional tool for volume data visualization ? Because the classical width approach don't provide usable data regarding volume (as the width is directly related to the volume data). Therefore a new trading tool based on candlesticks that allow the trader to gain access to information about the volume is proposed. The approach is based on rescaling the volume directly to the price without the direct use of user settings. We will also see that this tool allow to create support and resistances as well as providing signals based on a breakout methodology. Dekidaka-Ashi - Kakatte Koi Yo! "Dekidaka" (出来高) mean "Volume" in a financial context, while "Ashi" (足) mean "leg" or "bar". In general methods based on candlesticks will have "Ashi" in their name. Now that the name of the indicator has been explained lets see how it works, the indicator should be overlayed directly to a candlestick chart. The proposed method don't alter the shape of the candlesticks and allow to visualize any information given by the candles. As you can see on the figure below the candle body of the proposed tool only return the border of the candle, this allow to show the high/low wick of the candle. The body size of the candle is based on two things : the absolute close/open difference, and the volume, if the absolute close/open difference is high and the volume is high then the body of the candle will be clearly visible, if the volume is high but the absolute close/open difference is low, then the body will be less visible. This approach is used because of the rescaling method used, the volume is divided by the sum between the current volume value and the precedent volume value, this rescale the volume in a (0,1) range, this result is multiplied by the absolute close/open difference and added/subtracted to the high/low price. The original approach was based on normalization using the rolling maximum, but this approach would have led to repainting. You have access to certain settings that can help you obtain a better visualization, the first one being the body size setting, with higher values increasing the body amplitude. In green body with size 2, in red with size 1. The smooth parameter will smooth the volume data before being used, this allow to create more visible bodies. Here smooth = 100. Making Bands From The Dekidaka-Ashi This tool is made so it output two rescaled volume values, with the highest value being denoted as "Dekidaka-high" and the lowest one as "Dekidaka-low". In order to get bands we must use two moving averages, one using the Dekidaka-high as input and the other one using Dekidaka-low, the body size parameter should be fairly high, therefore i will hide the tool as it could cause trouble visualizing the bands. Bands with both MA's of period 20 and the body size equal to 20. Larger periods of the MA's will require a larger amount of body size. Breakout Signals There is a wide variety of signals that can be made from candles, ones i personally like comes from the HA candles. The proposed tool is no exception and can produce a wide variety of signals. The signals generated are basic ones based on a breakout methodology, here is each signal with their associated label : Strong Bullish signal "⇈" : The high price cross the Dekidaka-high and the closing price is greater than the opening price Strong Bearish signal "⇊" : The low price cross the Dekidaka-low and the closing price is lower than the opening price Weak Bullish signal "↑" : The high price cross the Dekidaka-high and the closing price is lower than the opening price Weak Bearish signal "↓" : The low price cross the Dekidaka-low and the closing price is greater than the opening price Uncertain "↕" : The high price cross the Dekidaka-high and the low price cross the the Dekidaka-low In order to see the signals on the chart check the "Show signals" option. Note that such signals are not based on an advanced study, and even if they are based on a breakout methodology we can see that volatile movement rarely produce signals, therefore signals mostly occur during low volume/volatility periods, which isn't necessarily a great thing. Conclusion A trading tool based on candlesticks that aim to include volume information has been presented and a brief methodology has been introduced. A study of the signals generated is required, however i'am not confident at all on their accuracy, i could work on that in the future. We have also seen how to make bands from the tool. Candlesticks remain a beautiful charting technique that can provide an enormous amount of information to the trader, and even if the accuracy of patterns based on candlesticks is subject to debates, we can all agree that candlesticks will remain the most widely used type of financial chart. On a side note i mostly use a dark color for a bullish candle, and a light gray for a bearish candle, with the border color being of the same color as the bullish candle. This is in my opinion the best setup for a candlestick chart, as candles using the traditional green/red can kill the eyes and because this setup allow to apply a wide variety of colors to the plot of overlayed indicators without the fear of causing conflict with the candles color. Thanks for reading ! :3 Nya A Word This morning i received some hateful messages on twitter, the users behind them certainly coming from tradingview, so lets be clear, i know i'am not the most liked person in this community, i know that perfectly, but no one merit to be receive hateful messages. I'am not responsible for the losses of peoples using my indicators, nor is tradingview, using technical indicators does not guarantee long term returns, your ability to be profitable will mostly be based on the quality and quantity of knowledge you have.
Indicatore Pine Script®
di alexgrover
40
Quasimodo (QML) Pattern [Kodexius]Quasimodo (QML) Pattern is a market structure indicator that automatically detects Bullish and Bearish Quasimodo formations using confirmed swing pivots, then visualizes the full structure directly on the chart. The script focuses on the classic liquidity-grab narrative of the QML: a sweep beyond a prior swing (the Head) followed by a decisive market structure break (MSB), leaving behind a clearly defined reaction zone between the Left Shoulder and the Head. Detection is built on pivot highs and lows, so patterns are evaluated only after swing points are validated. Once a valid 4 pivot sequence is identified, the indicator draws the pattern legs, highlights the internal triangle area to emphasize the grab, marks the MSB leg, and projects a QML zone that can be used as a potential area of interest for retests. This tool is designed for traders who work with structure, liquidity concepts, and reversal/continuation triggers, and who want a clean, repeatable QML visualization without manually marking swings. 🔹 Features 🔸 Confirmed Pivot Based Structure Mapping The script uses classic built-in pivot logic to detect swing highs and swing lows. 🔸 Automatic Bullish and Bearish QML Detection The indicator evaluates the most recent 4 pivots and checks for a valid alternating sequence (High-Low-High-Low or Low-High-Low-High). When the sequence matches QML requirements, the script classifies the setup as bullish or bearish: Bullish logic (structure reversal up): - Left Shoulder is a pivot Low - Head is a lower Low than the Left Shoulder (liquidity sweep) - MSB pivot exceeds the Reaction pivot Bearish logic (structure reversal down): - Left Shoulder is a pivot High - Head is a higher High than the Left Shoulder (liquidity sweep) - MSB pivot breaks below the Reaction pivot 🔸 Full Pattern Visualization (Legs + Highlighted Core) When a pattern triggers, the script draws: Three main legs: Left Shoulder to Reaction, Reaction to Head, Head to MSB A shaded triangular highlight over the internal structure to make the liquidity-grab shape easy to spot at a glance 🔸 QML Zone Projection A QML Zone box is drawn using the price range defined between the Left Shoulder and the Head, then extended to the right to remain visible as price develops. This zone is intended to act as a practical reference area for potential retests and reaction planning after MSB confirmation. 🔸 MSB Emphasis A dotted MSB line is drawn between the Reaction point and the MSB point to visually emphasize the confirmation leg that completes the pattern logic. 🔸 Clean Point Tagging and Directional Labeling Key points are labeled directly on the chart: - “LS” at the Left Shoulder - “Head” at the sweep pivot - “MSB” at the break pivot A directional label (“Bullish QML” or “Bearish QML”) is also printed to quickly identify the detected bias. 🔸 Configurable Visual Style All main visual components are user configurable: - Bullish and bearish colors - Line width - Label size 🔸 Efficient Update Logic Pattern checks are only performed when a new pivot is confirmed, avoiding unnecessary repeated calculations on every bar. The most recent pattern’s projected elements (zone and label positioning) are updated as new bars print to keep the latest setup readable. 🔹 Calculations This section summarizes the core logic used for detection and plotting. 1. Pivot Detection (Swing Highs and Lows) The script relies on confirmed pivots using the user inputs: Left Bars: how many bars must exist to the left of the pivot Right Bars: how many bars must exist to the right to confirm it float ph = ta.pivothigh(leftLen, rightLen) float pl = ta.pivotlow(leftLen, rightLen) When a pivot is confirmed, its true bar index is the pivot bar, not the current bar, so the script stores: bar_index 2. Pivot Storage and History Window Each pivot is stored as a structured object containing: - price - index - isHigh (true for pivot high, false for pivot low) A rolling history is maintained (up to 50 pivots) to keep processing stable and memory usage controlled. 3. Sequence Validation (Alternation Check) The pattern evaluation always uses the latest 4 pivots: p0: Left Shoulder candidate p1: Reaction candidate p2: Head candidate p3: MSB candidate Before checking bullish/bearish rules, the script enforces alternating pivot types: bool correctSequence = (p0.isHigh != p1.isHigh) and (p1.isHigh != p2.isHigh) and (p2.isHigh != p3.isHigh) This prevents invalid structures like consecutive highs or consecutive lows from being interpreted as QML. 4. Bullish QML Conditions A bullish QML is evaluated when the Left Shoulder is a Low: Head must be lower than Left Shoulder (sweep) MSB must be higher than Reaction (break) if not p0.isHigh if p2.price < p0.price and p3.price > p1.price // Bullish QML confirmed Interpretation: p2 < p0 represents the liquidity grab below the prior swing low p3 > p1 represents the market structure break above the reaction high 5. Bearish QML Conditions A bearish QML is evaluated when the Left Shoulder is a High: Head must be higher than Left Shoulder (sweep) MSB must be lower than Reaction (break) if p0.isHigh if p2.price > p0.price and p3.price < p1.price // Bearish QML confirmed Interpretation: p2 > p0 represents the liquidity grab above the prior swing high p3 < p1 represents the market structure break below the reaction low 6. Drawing Logic (Structure, Highlight, Zone, Labels) When confirmed, the script draws: Three connecting legs (LS to Reaction, Reaction to Head, Head to MSB) A shaded triangle using a transparent “ghost” line to enable filling A dotted MSB emphasis line between Reaction and MSB A QML Zone box spanning the LS to Head price range and projecting to the right Point labels: LS, Head, MSB A direction label: “Bullish QML” or “Bearish QML” 7. Latest Pattern Extension To keep the newest setup readable, the script updates the most recently detected pattern by extending its projected elements as new bars print: QML zone right edge is pushed forward The main label x position is pushed forward This keeps the last identified QML zone visible as price evolves, without having to redraw historical patterns on every bar.
Indicatore Pine Script®
di Kodexius
Consolidation Zones Volume Delta | Flux ChartsGENERAL OVERVIEW: The Consolidation Zones Volume Delta | Flux Charts indicator is designed to identify and visualize consolidation zones on the chart. Rather than only outlining areas of sideways price movement, the indicator analyzes volume activity occurring inside each consolidation zone. This is done by aggregating lower-timeframe volume data into the higher-timeframe consolidation range, allowing users to see how buying and selling activity evolves while price remains in a range. What is the theory behind the indicator?: The indicator is built around three core analytical concepts that guide how consolidation zones are detected and evaluated. 1. Consolidation as a structural phase Periods of consolidation are characterized by reduced directional movement and compressed price ranges. During these phases, price action often alternates within a defined high–low boundary, creating a structure that can be objectively measured and tracked over time. 2. Volume behavior inside consolidation While price may appear balanced within a consolidation range, volume activity inside that range can vary. The indicator evaluates volume contributions occurring within the vertical boundaries of the consolidation zone by using lower-timeframe data and weighting each candle’s volume based on its overlap with the zone. This produces an internal volume delta profile that reflects how buying and selling volume accumulates throughout the consolidation. Delta behavior inside a zone may show: Persistent dominance of buying or selling volume Alternating shifts between buyers and sellers Periods of relatively balanced participation 3. Markets consolidate in multiple ways, one detection method is not enough Markets do not consolidate in a single, uniform way. To account for this, the indicator includes three distinct consolidation detection methods. Each method is calculated objectively, does not repaint, and targets a different type of sideways or low-expansion price behavior: Candle Compression ADX Low Trend Strength Visual Range Boundaries CONSOLIDATION ZONES VOLUME DELTA FEATURES: The Consolidation Zones Volume Delta indicator includes 4 main features: Consolidation Zones Volume Delta Standard Deviation Bands Alerts CONSOLIDATION ZONES: 🔹What is a Consolidation Zone? A consolidation zone is a defined price range where market movement becomes compressed and price remains contained within clear upper and lower boundaries for a sustained period of time. During this phase, price does not establish a strong directional trend and instead oscillates within a relatively narrow range. 🔹Consolidation Zone Detection The indicator automatically detects consolidation zones using three independent, rule-based methods. Each method evaluates a different market condition and can be selected individually depending on how you want consolidation to be defined. Regardless of the method used, all zones are calculated objectively and finalized once confirmed. ◇ Candles (Candle Compression) The Candles method identifies consolidation by detecting periods of candle compression and reduced range expansion. A candle is considered part of a consolidation sequence when: The candle body is small relative to its total range The candle’s high–low range is smaller than the short-term Average True Range (ATR) ATR is calculated using a 4-period average true range and is used as a volatility reference. If consecutive candles continue to meet these compression conditions, the indicator increments an internal count. Under the Consolidation Candles section in the settings, you’ll find two controls. Min. Consolidation Candles setting This defines how many consecutive compressed candles are required before a consolidation zone is confirmed. Candle compression is determined using candle structure and short-term ATR, ensuring that only periods of reduced range expansion are counted. Once the minimum threshold is reached, the indicator creates a consolidation zone using the highest high and lowest low formed during the compressed sequence. Mark Consolidation Candles When enabled, the indicator highlights candles that meet the compression criteria, making it easy to visually identify which candles contributed to the formation of the consolidation zone. ◇ ADX (Low Trend Strength) The ADX method identifies consolidation based on weak or declining trend strength rather than candle structure. This method uses the Average Directional Index (ADX) to determine when directional movement is reduced. ADX is calculated using directional movement values that are smoothed over time. When ADX remains below a user-defined threshold, price is treated as being in a low-trend market. While this condition persists, the indicator tracks the highest high and lowest low formed during the low-trend period. Under the ADX Settings section in the settings, you’ll find the following controls. ADX Length Defines the lookback period used to calculate directional movement for ADX. ADX Smoothing Controls the smoothing applied to the ADX calculation. ADX Threshold Sets the level below which ADX must remain for the market to be considered consolidating. Consolidation Strength Defines how many consecutive candles’ ADX must stay below the threshold before a consolidation zone is confirmed. Once this requirement is met, the indicator creates a consolidation zone using the accumulated high and low from the low-trend window. Mark Candles Below Threshold When enabled, the indicator highlights candles where ADX remains below the threshold. ◇ Visual Range The Visual Range method identifies consolidation by detecting clearly defined horizontal price ranges where price remains contained for a sustained period of time. The indicator continuously tracks the rolling highest high and lowest low across recent candles. When price remains inside the same high–low boundaries without breaking above or below the range, an internal counter advances. Under the Visual Range section in the settings, you’ll find the following control. Min. Candles in Range Defines how many consecutive candles must remain fully contained within the same high–low range before a consolidation zone is confirmed. Once this requirement is met, the indicator creates a consolidation zone using the established range boundaries. 🔹Consolidation Zone Settings ◇ Invalidation Method Users can choose how Consolidation Zones are invalidated, selecting between Close Break or Wick Break. Close Break: A Consolidation Zone is invalidated when a candle closes above/below the zone. Wick Break: A Consolidation Zone is invalidated when a candle’s wick goes above/below the zone. ◇ Merge Overlapping Zones When enabled, overlapping Consolidation Zones are automatically combined into one unified zone. ◇ Show Last This setting determines how many Consolidation Zones are displayed on your chart. For example, setting this to 5 will display the 5 most recent zones. VOLUME DELTA: Delta Volume visualizes how buying and selling volume accumulates inside each consolidation zone. Instead of using the full candle volume, the indicator isolates only the volume that occurs within the vertical boundaries of the zone. This allows you to see whether bullish or bearish volume is dominating while price remains range-bound. The visualization updates in real time while the zone is active and reflects cumulative participation rather than individual candles. 🔹How Volume Delta is Calculated Delta Volume is calculated using lower-timeframe data and applied to the higher-timeframe consolidation zone. Each candle’s volume is split into bullish or bearish volume based on candle direction. Lower-timeframe candles are pulled using the selected delta timeframe. For each lower-timeframe candle, only the portion of volume that vertically overlaps the consolidation zone is counted. Volume is weighted by the amount of overlap between the candle’s range and the zone’s range. Bullish and bearish volume are accumulated over time to form a running, cumulative delta profile for the zone. 🔹Volume Delta Settings ◇ Enable Turns the Delta Volume visualization on or off. Consolidation zones continue to plot when disabled. ◇ Show Delta % Displays the percentage breakdown of bullish versus bearish volume inside the consolidation zone. Percentages are derived from cumulative volume totals. ◇ 3D Visual When enabled, the delta blocks are extended diagonally using a depth offset derived from the instrument’s daily ATR. This creates visible side faces and top faces for the delta blocks, simulating depth without altering any calculations. The 3D effect is purely visual. It does not change how volume is calculated, weighted, or accumulated. Users can control the intensity of the 3D effect choosing a value between 1 and 5. Increasing this value increases: The horizontal offset of the delta blocks The vertical depth projection applied to the volume faces Higher values produce a more pronounced 3D appearance by pushing the delta visualization further away from the consolidation box. Lower values keep the visualization flatter and closer to the box boundaries. The depth scaling is normalized using ATR, so the effect adapts proportionally to the instrument’s volatility. ◇ Volume Delta Display Style Controls how bullish and bearish volume are displayed inside the Consolidation Zone: Horizontal: Volume is split top-to-bottom within the zone Vertical: Volume is split left-to-right across the zone ◇ Timeframe Defines the lower timeframe used for Volume Delta calculations. When a timeframe is selected, the indicator pulls lower-timeframe price and volume data and maps it into the higher-timeframe consolidation zone. Each lower-timeframe candle is evaluated individually. Only the portion of its volume that vertically overlaps the consolidation zone is included, and that volume is weighted based on the candle’s overlap with the zone’s price range. If the Timeframe field is left empty, the indicator defaults to using the chart’s current timeframe for delta calculations. Using a lower timeframe increases the granularity of the delta calculation, allowing volume changes inside the zone to be measured more precisely. Using a higher timeframe produces a smoother, less granular delta profile. Please Note: Delta rendering is automatically limited to available lower-timeframe data to prevent incomplete or distorted visuals when historical lower-timeframe volume is unavailable due to TradingView data limits. STANDARD DEVIATION BANDS: Standard Deviation Bands project measured price distance away from a confirmed consolidation zone using the size of that zone as the reference unit. Rather than calculating volatility from historical price dispersion, the bands are derived directly from the height of the consolidation range itself. Each band represents a fixed multiple of the consolidation zone’s height and is plotted symmetrically above and below the zone. 🔹How the bands are calculated Once a consolidation zone is finalized, the indicator calculates the zone height as: Zone Height = Zone High − Zone Low This value becomes the base measurement for all deviation calculations. For each enabled band: Upper bands are placed above the consolidation zone’s high Lower bands are placed below the consolidation zone’s low The distance of each band from the zone is calculated by multiplying the zone height by the selected band multiplier. These band levels are fixed relative to the consolidation zone and do not recalculate based on future price movement. 🔹Standard Deviation Band Settings ◇ Band 1 Enables the first deviation band above and below the consolidation zone. The Band 1 multiplier defines how far the band is placed from the zone in terms of zone height. For example, a multiplier of 1 plots the band one full zone height above and below the consolidation range. ◇ Band 2 Enables a second deviation band at a greater distance from the consolidation zone. Band 2 uses its own multiplier and is calculated independently of Band 1, allowing multiple expansion levels to be displayed simultaneously. ◇ Fill Bands When enabled, the area between the consolidation zone and each deviation band is filled with a semi-transparent color. Upper fills apply to bands above the zone, and lower fills apply to bands below the zone. Fills are static and tied directly to the consolidation zone boundaries. ◇ Color Customization Each deviation band has independent color controls for: Upper band lines and fills Lower band lines and fills This allows users to visually distinguish between bullish and bearish extensions as well as between multiple deviation levels. ALERTS: Users can create alerts for the following: New Consolidation Zone Formed Consolidation Zone Break UNIQUENESS: This indicator combines multiple consolidation detection methods with lower-timeframe volume delta analysis inside each consolidation zone. It visualizes bullish and bearish volume using weighted overlap logic and optional 3D rendering for improved clarity. Users can choose how volume is displayed, apply structure-based deviation bands, and enable alerts for new zones and zone breaks. All features are rule-based, configurable, and designed to work together within a single framework.
Indicatore Pine Script®
di fluxchart
10
ACCDv3# ACCDv3 - Accumulation/Distribution MACD with Divergence Detection ## Overview **ACCDv3** (Accumulation/Distribution MACD Version 3) is an advanced volume-weighted momentum indicator that combines the Accumulation/Distribution (A/D) line with MACD methodology and divergence detection. It helps identify trend strength, momentum shifts, and potential reversals by analyzing volume-weighted price movements. ## Key Features - **Volume-Weighted MACD**: Applies MACD calculation to volume-weighted A/D values for earlier, more reliable signals - **Divergence Detection**: Identifies when A/D trend diverges from MACD momentum - **Volume Strength Filtering**: Distinguishes high-volume confirmations from low-volume noise - **Color-Coded Histogram**: 4-color system showing momentum direction and volume strength - **Real-Time Alerts**: Background colors and alert conditions for bullish/bearish divergences ## Components ### 1. Accumulation/Distribution (A/D) Line The A/D line measures buying and selling pressure by comparing the close price to the trading range, weighted by volume: ``` A/D = Σ ((2 × Close - Low - High) / (High - Low)) × Volume ``` - **Rising A/D**: More accumulation (buying pressure) - **Falling A/D**: More distribution (selling pressure) - **Doji Handling**: When High = Low, contribution is zero (avoids division errors) ### 2. Volume-Weighted MACD Instead of simple EMAs, the indicator weights A/D values by volume: - **Fast Line** (default 12): `EMA(A/D × Volume, 12) / EMA(Volume, 12)` - **Slow Line** (default 26): `EMA(A/D × Volume, 26) / EMA(Volume, 26)` - **MACD Line**: Fast Line - Slow Line (green line) - **Signal Line** (default 9): EMA or SMA of MACD (orange line) - **Histogram**: MACD - Signal (color-coded columns) This volume-weighting ensures that periods with higher volume have greater influence on the indicator values. ### 3. Histogram Color System The histogram uses 4 distinct colors based on **direction** and **volume strength**: | Condition | Color | Meaning | |-----------|-------|---------| | Rising + High Volume | **Dark Green** (#1B5E20) | Strong bullish momentum with volume confirmation | | Rising + Low Volume | **Light Teal** (#26A69A) | Bullish momentum but weak volume (less reliable) | | Falling + High Volume | **Dark Red** (#B71C1C) | Strong bearish momentum with volume confirmation | | Falling + Low Volume | **Light Red/Pink** (#FFCDD2) | Bearish momentum but weak volume (less reliable) | Additional shading: - **Light Cyan** (#B2DFDB): Positive but not rising (momentum stalling) - **Bright Red** (#FF5252): Negative and accelerating down ### 4. Divergence Detection Divergence occurs when A/D trend and MACD momentum move in opposite directions: #### Bullish Divergence (Green Background) - **Condition**: A/D is trending up BUT MACD is negative and trending down - **Interpretation**: Accumulation increasing while momentum appears weak - **Signal**: Potential bullish reversal or continuation - **Action**: Look for entry opportunities or hold long positions #### Bearish Divergence (Red Background) - **Condition**: A/D is trending down BUT MACD is positive and trending up - **Interpretation**: Distribution increasing while momentum appears strong - **Signal**: Potential bearish reversal or weakening uptrend - **Action**: Consider exits, tighten stops, or prepare for reversal ## Parameters | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **Fast Length** | 12 | 1-50 | Period for fast EMA (shorter = more sensitive) | | **Slow Length** | 26 | 1-100 | Period for slow EMA (longer = smoother) | | **Signal Smoothing** | 9 | 1-50 | Period for signal line (MACD smoothing) | | **Signal Line MA Type** | EMA | SMA/EMA | Moving average type for signal calculation | | **Volume MA Length** | 20 | 5-100 | Period for volume average (strength filter) | ## Usage Guide ### Reading the Indicator 1. **MACD Lines (Green & Orange)** - **Crossovers**: When green crosses above orange = bullish, below = bearish - **Distance**: Wider gap = stronger momentum - **Zero Line**: Above = bullish bias, below = bearish bias 2. **Histogram Colors** - Focus on **dark colors** (dark green/red) for high-confidence signals - Be cautious with **light colors** (teal/pink) - wait for volume confirmation - Watch for **rising red bars** (V-bottom pattern) = potential bullish reversal - Watch for **falling green bars** (Λ-top pattern) = potential bearish reversal 3. **Background Divergence Alerts** - **Green background**: Bullish divergence - consider long entries - **Red background**: Bearish divergence - consider exits or shorts - Best used in combination with price action and support/resistance levels ### Trading Strategies #### Trend Following 1. Wait for MACD to cross above zero line with dark green histogram 2. Enter long when histogram shows consecutive dark green bars 3. Exit when histogram turns light green or red appears #### Divergence Trading 1. Wait for background divergence alert (green or red) 2. Confirm with price action (support/resistance, candlestick patterns) 3. Enter on next dark-colored histogram bar in divergence direction 4. Set stops beyond recent swing high/low #### Volume Confirmation 1. Ignore signals during low-volume periods (light colors) 2. Take aggressive positions during high-volume confirmations (dark colors) 3. Use volume strength as position sizing guide (larger size on dark bars) ### Best Practices ✓ **Combine with price action**: Don't rely on indicator alone ✓ **Wait for dark colors**: High-volume bars are more reliable ✓ **Watch for divergences**: Early warning signs of reversals ✓ **Use multiple timeframes**: Confirm signals across 1m, 5m, 15m ✓ **Respect zero line**: Trading direction should align with MACD side ✗ **Don't chase light-colored signals**: Low volume = lower reliability ✗ **Don't ignore context**: Market structure and levels matter ✗ **Don't over-trade**: Wait for clear, high-volume setups ✗ **Don't ignore alerts**: Divergences are early warnings ## Technical Details ### Volume-Weighted Calculation Method Traditional MACD uses simple price EMAs. ACCDv3 weights each A/D value by its corresponding volume: ```pine // Volume-weighted fast EMA close_vol_fast = ta.ema(ad × volume, fast_length) vol_fast = ta.ema(volume, fast_length) vw_ad_fast = close_vol_fast / vol_fast // Same for slow EMA close_vol_slow = ta.ema(ad × volume, slow_length) vol_slow = ta.ema(volume, slow_length) vw_ad_slow = close_vol_slow / vol_slow // MACD is the difference macd = vw_ad_fast - vw_ad_slow ``` This ensures high-volume periods have proportionally more impact on the indicator. ### Volume Strength Filter Determines whether current volume is above or below average: ```pine vol_avg = ta.sma(volume, vol_length) vol_strength = volume > vol_avg ``` Used to select dark (high volume) vs light (low volume) histogram colors. ### Divergence Logic ```pine // A/D trending up if above its 5-period SMA ad_trend = ad > ta.sma(ad, 5) // MACD trending up if above zero macd_trend = macd > 0 // Divergence when trends oppose divergence = ad_trend != macd_trend // Specific conditions bullish_divergence = ad_trend and not macd_trend and macd < 0 bearish_divergence = not ad_trend and macd_trend and macd > 0 ``` ## Alerts The indicator includes built-in alert conditions: - **Bullish Divergence**: "Bullish Divergence: A/D trending up but MACD trending down" - **Bearish Divergence**: "Bearish Divergence: A/D trending down but MACD trending up" To enable: 1. Click "Create Alert" button in TradingView 2. Select "ACCDv3" as condition 3. Choose "Bullish Divergence" or "Bearish Divergence" 4. Configure notification method (popup, email, webhook, etc.) ## Comparison with Standard MACD | Feature | Standard MACD | ACCDv3 | |---------|---------------|---------| | **Input** | Close price | Accumulation/Distribution line | | **Weighting** | Simple EMA | Volume-weighted EMA | | **Divergence** | Price vs MACD | A/D vs MACD | | **Volume Analysis** | None | Built-in strength filter | | **Color System** | 2 colors (up/down) | 4+ colors (direction + volume) | | **Leading/Lagging** | Lagging | More leading (volume-weighted) | ## Example Scenarios ### Scenario 1: Strong Bullish Signal - **Chart**: MACD crosses above zero line - **Histogram**: Dark green bars (#1B5E20) appearing - **Volume**: Above 20-period average - **Action**: Enter long, strong momentum with volume confirmation ### Scenario 2: Weak Bearish Signal - **Chart**: MACD crosses below zero line - **Histogram**: Light pink bars (#FFCDD2) appearing - **Volume**: Below 20-period average - **Action**: Avoid shorting, low volume = unreliable signal ### Scenario 3: Bullish Divergence Reversal - **Chart**: Price making lower lows - **Indicator**: A/D line trending up, MACD negative - **Background**: Green shading appears - **Histogram**: Transitions from red to dark green - **Action**: Look for long entry on next dark green bar ### Scenario 4: V-Bottom Reversal - **Chart**: Downtrend in place - **Histogram**: Red bars start rising (becoming less negative) - **Pattern**: Forms "V" shape at bottom - **Confirmation**: Transitions to dark green bars - **Action**: Bullish reversal signal, consider long entry ## Timeframe Recommendations - **1-minute**: Scalping, very fast signals (noisy, use with caution) - **5-minute**: Intraday momentum trading (recommended) - **15-minute**: Swing entries, clearer trend signals - **1-hour+**: Position trading, major trend identification ## Limitations - **Requires volume data**: Will not work on instruments without volume - **Lag during consolidation**: MACD is inherently trend-following - **False signals in chop**: Sideways markets generate noise - **Not a standalone system**: Should be combined with price action and risk management ## Version History - **v3**: Removed traditional price MACD, using only volume-weighted A/D MACD with A/D divergence - **v2**: Added A/D divergence detection, volume strength filtering, enhanced histogram colors - **v1**: Basic MACD on A/D line with volume-weighted calculation ## Support & Further Reading For questions, updates, or to report issues, refer to the main project documentation or contact the developer. **Related Indicators in Suite:** - **VMACDv3**: Volume-weighted MACD on price (not A/D) - **RSIv2**: RSI with A/D divergence - **DMI**: Directional Movement Index with A/D divergence - **Elder Impulse**: Bar coloring system using volume-weighted MACD --- *This indicator is for educational purposes. Always practice proper risk management and never risk more than you can afford to lose.*
Indicatore Pine Script®
di srinarayanant
6-9 session & levels6-9 Session & Levels - Customizable Range Analysis Indicator Description: This indicator provides comprehensive session-based range analysis designed for intraday traders. It calculates and displays key levels based on a customizable session period (default 6:00-9:00 AM ET). Core Features: Session Tracking Monitors user-defined session times with timezone support Displays session open, high, and low levels Highlights session range with optional box visualization Shows previous day RTH (Regular Trading Hours: 9:30 AM - 4:00 PM) levels Range Levels 25%, 50%, and 75% range levels within the session Range deviations at 0.5x, 1.0x, and 2.0x multiples Fibonacci extension levels (customizable, default 1.33x and 1.66x) Optional fill zones between Fibonacci levels Time Zone Highlighting Marks the 9:40-9:50 AM period as a potential reversal zone Vertical lines with shading to identify key time windows Statistical Analysis Calculates mean and median extension levels based on historical sessions Displays statistics table showing current range, average range, range difference, and z-score Customizable sample size (1-100 sessions) for statistical calculations Option to anchor extensions from either session open or high/low points Input Settings Explained: Session Settings Levels Session Time: Define your session window in HHMM-HHMM format (default: 0600-0900) Time Zone: Choose from UTC, America/New_York, America/Chicago, America/Los_Angeles, Europe/London, or Asia/Tokyo Anchor Settings Show Session Anchor: Toggle the session anchor line (marks session open price at 6:00 AM) Anchor Style/Color/Width: Customize appearance (Solid/Dashed/Dotted, color, 1-4 width) Show Anchor Label: Display price label for the anchor Session Open Line: Similar options for the session open reference line Range Box Settings Show Range Box: Display a shaded rectangle highlighting the session high-to-low range Range Box Color: Set the box background color and transparency Range Levels (25%/50%/75%) Show Range Levels: Toggle all three intermediate levels on/off Individual Level Styling: Each level (25%, 50%, 75%) has its own color, style, and width settings Show Range Level Labels: Display price labels for each level Range Deviations Show Range Deviations: Toggle deviation levels on/off 0.5x/1.0x/2.0x Settings: Each deviation multiplier can be customized with its own color, line style (Solid/Dashed/Dotted), and width Show Range Deviation Labels: Display labels showing the deviation price levels Previous Day RTH Levels Show Previous RTH Levels: Display yesterday's regular trading hours high and low RTH High/Low Styling: Separate color, style, and width settings for each level Show Previous RTH Labels: Toggle price labels for RTH levels Time Zones Show 9:40-9:50 AM Zone: Highlight this specific time period with vertical lines and shading Zone Color: Set the background fill color for the time zone Zone Label Color/Text: Customize the label appearance and text Fibonacci Extension Settings Show Fibonacci Extensions: Toggle Fib levels on/off Fib Extension Color/Style/Width: Customize line appearance Show Fib Extension Labels: Display price labels Fib Ext Level 1/2: Set custom multipliers (default 1.33 and 1.66, range 0-5 in 0.1 increments) Show Fibonacci Fills: Display shaded zones between Fib levels Fib Fill Color: Customize the fill color and transparency Session High/Low Settings Show Session High/Low Lines: Display the actual session extremes Style/Color/Width: Customize line appearance Show Labels: Toggle price labels for high/low levels Extension Stats Settings Show Statistical Levels on Chart: Display mean and median extension levels based on historical data Extension Anchor Point: Choose whether to anchor from "Open" or "High/Low" of the session Number of Sessions for Statistics: Set sample size (1-100, default 60) for calculating averages Mean/Median High Extension: Separate styling for each statistical level (color, style, width) Mean/Median Low Extension: Separate styling for downside statistical levels Tables Show Statistics Table: Display a summary table with current range, average range, difference, z-score, and sample size Table Position: Choose from 9 positions (Bottom/Middle/Top + Center/Left/Right) Table Text Size: Select from Auto, Tiny, Small, Normal, Large, or Huge Display Settings Projection Offset: Number of bars to extend lines forward (default 24) Label Size: Choose from Tiny, Small, Normal, or Large Price Decimal Precision: Set decimal places for price labels (0-6) How It Works: The indicator tracks the specified session period and calculates the session's open, high, low, and range. At the end of the session (9:00 AM by default), it projects all configured levels forward for the trading day. The statistical features analyze the last N sessions (you choose the number) to calculate typical extension behavior from either the session open or the session high/low points. The z-score calculation helps identify whether the current session's range is normal, expanded, or contracted compared to recent history, allowing traders to adjust expectations for the rest of the day. Use Case: This indicator helps traders identify key support and resistance levels based on early session price action, understand current range context relative to historical averages, and spot potential reversal zones during specific time periods. Note: This indicator is for informational purposes only and does not constitute investment advice. Always perform your own analysis before making trading decisions.
Indicatore Pine Script®
di lucymatos
One for AllOne for All (OFA) - Complete ICT Analysis Suite Version 3.3.0 by theCodeman 📊 Overview One for All (OFA) is a comprehensive TradingView indicator designed for traders who follow Inner Circle Trader (ICT) concepts. This all-in-one tool combines essential ICT analysis features—sessions, kill zones, previous period levels, and higher timeframe candles with Fair Value Gaps (FVGs) and Volume Imbalances (VIs)—into a single, highly customizable indicator. Whether you're a beginner learning ICT concepts or an experienced trader refining your edge, OFA provides the visual structure needed for precise market analysis and execution. ✨ Key Features - 🏷️ Customizable Watermark**: Display your trading identity with customizable titles, subtitles, symbol info, and full style control - 🌍 Trading Sessions**: Visualize Asian, London, and New York sessions with high/low lines, range boxes, and open/close markers - 🎯 Kill Zones**: Highlight 5 critical ICT kill zones with precise timing and visual boxes - 📈 Previous Period H/L**: Track Daily, Weekly, and Monthly highs/lows with customizable styles and lookback periods - 🕐 Higher Timeframe Candles**: Display up to 5 HTF timeframes with OHLC trace lines, timers, and interval labels - 🔍 FVG & VI Detection**: Automatically detect and visualize Fair Value Gaps and Volume Imbalances on HTF candles - ⚙️ Universal Timezone Support**: Works globally with GMT-12 to GMT+14 timezone selection - 🎨 Full Customization**: Control colors, styles, visibility, and layout for every feature 🚀 How to Use Watermark Setup The watermark overlay helps you identify your charts and maintain focus on your trading principles: 1. Enable/disable watermark via "Show Watermark" toggle 2. Customize the title (default: "Name") to display your trading name or account identifier 3. Set up to 3 subtitles (default: "Patience", "Confidence", "Execution") as trading reminders 4. Choose position (9 locations available), size, color, and transparency 5. Toggle symbol and timeframe display as needed Use Case: Display your trading principles or account name for multi-monitor setups or content creation. Trading Sessions Analysis Sessions define market character and liquidity availability: 1. Enable "Show All Sessions" to visualize all three sessions 2. Adjust timezone to match your local market (default: UTC-5 for EST) 3. Customize session times if needed (defaults cover standard hours) 4. Enable session range boxes to see consolidation zones 5. Use session high/low lines to identify key levels for the current session 6. Enable open/close markers to track session transitions Use Case: Identify which session you're trading in, track session highs/lows for liquidity, and anticipate session transition volatility. Kill Zones Trading Kill zones are ICT's high-probability trading windows: 1. Enable individual kill zones or use "Show All Kill Zones" 2. **Asian Kill Zone** (2000-0000 GMT): Early positioning and smart money accumulation 3. **London Kill Zone** (0300-0500 GMT): European market opening volatility 4. **NY AM Kill Zone** (0930-1100 EST): Post-NYSE open expansion 5. **NY Lunch Kill Zone** (1200-1300 EST): Midday consolidation or manipulation 6. **NY PM Kill Zone** (1330-1600 EST): Afternoon positioning and closes 7. Customize colors and times to match your trading style 8. Set max days display to control historical visibility (default: 30 days) Use Case: Focus entries during high-probability windows. Watch for liquidity sweeps at kill zone openings and institutional positioning. Previous Period High/Low Levels Previous period levels act as magnetic price targets and support/resistance: 1. Enable Daily (PDH/PDL), Weekly (PWH/PWL), or Monthly (PMH/PML) levels individually 2. Set lookback period (how many previous periods to display) 3. Choose line style: Solid (current emphasis), Dashed (standard), or Dotted (subtle) 4. Customize colors per timeframe for visual hierarchy 5. Adjust line width (1-5) for visibility preference 6. Enable gradient effect to fade older periods 7. Position labels left or right based on chart layout 8. Customize label text for your preferred notation Use Case: Identify key levels where price is likely to react. Daily levels work on intraday timeframes, Weekly on daily charts, Monthly for swing trading. Higher Timeframe (HTF) Candles HTF candles reveal the larger market context while trading lower timeframes: 1. Enable up to 5 HTF slots simultaneously (default: 5m, 15m, 1H, 4H, Daily) 2. Choose display mode: "Below Chart" (stacked rows) or "Right Side" (compact column) 3. Customize timeframe, colors (bull/bear), and titles for each slot 4. **OHLC Trace Lines**: Visual lines connecting HTF candle levels to chart bars 5. **HTF Timer**: Countdown showing time remaining until HTF candle close 6. **Interval Labels**: Display day of week (Daily+) or time (intraday) on each candle 7. For Daily candles: Choose open time (Midnight, 8:30, 9:30) to match your market structure preference Use Case: Trade lower timeframes while respecting higher timeframe structure. Watch for HTF candle closes to confirm directional bias. FVG & VI Detection Fair Value Gaps and Volume Imbalances highlight inefficiencies that price often revisits: 1. **Fair Value Gaps (FVGs)**: Detected when HTF candle wicks don't overlap between 3 consecutive candles - Bullish FVG: Gap between candle 1 high and candle 3 low (green box by default) - Bearish FVG: Gap between candle 1 low and candle 3 high (red box by default) 2. **Volume Imbalances (VIs)**: Similar detection but focuses on body gaps - Bullish VI: Gap between candle 1 close and candle 3 open - Bearish VI: Gap between candle 1 open and candle 3 close 3. Enable FVG/VI detection per HTF slot individually 4. Customize colors and transparency for each imbalance type 5. Boxes appear on chart at formation and remain visible as retracement targets **Use Case**: Identify high-probability retracement zones. Price often returns to fill FVGs and VIs before continuing the trend. Use as entry zones or profit targets. 🎨 Customization OFA is built for flexibility. Every feature includes extensive customization options: Visual Customization - **Colors**: Independent color control for every element (sessions, kill zones, lines, labels, FVGs, VIs) - **Transparency**: Adjust box and label transparency (0-100%) for clean charts - **Line Styles**: Choose Solid, Dashed, or Dotted for previous period lines - **Sizes**: Control text size, line width, and box borders - **Positions**: Place watermark in 9 positions, labels left/right Layout Control - **HTF Display Mode**: "Below Chart" for detailed analysis, "Right Side" for space efficiency - **Drawing Limits**: Set max days for sessions/kill zones to manage chart clutter - **Lookback Periods**: Control how many previous periods to display (1-10) - **Gradient Effects**: Enable fading for older previous period lines Timing Adjustments - **Timezone**: Universal GMT offset selector (-12 to +14) for global markets - **Session Times**: Customize each session's start/end times - **Kill Zone Times**: Adjust kill zone windows to match your market's characteristics - **Daily Open**: Choose Midnight, 8:30, or 9:30 for Daily HTF candle open time 💡 Best Practices 1. Start Simple: Enable one feature at a time to learn how each element affects your analysis 2. Match Your Timeframe: Use Daily levels on intraday charts, Weekly on daily charts, HTF candles one or two levels above your trading timeframe 3. Kill Zone Focus: Concentrate your trading activity during kill zones for higher probability setups 4. HTF Confirmation: Wait for HTF candle closes before committing to directional bias 5. FVG/VI Entries: Look for price to return to unfilled FVGs/VIs for entry opportunities with favorable risk/reward 6. Customize Colors: Use a consistent color scheme that matches your chart theme and reduces visual fatigue 7. Reduce Clutter: Disable features you're not actively using in your current trading plan 8. Session Context: Understand which session controls the market—trade with session direction or anticipate reversals at session transitions ⚙️ Settings Guide OFA organizes settings into logical groups for easy navigation: - **═══ WATERMARK ═══**: Title, subtitles, position, style, symbol/timeframe display - **═══ SESSIONS ═══**: Enable/disable sessions, times, colors, high/low lines, boxes, markers - **═══ KILL ZONES ═══**: Individual kill zone toggles, times, colors, max days display - **═══ PREVIOUS H/L - DAILY ═══**: Daily high/low lines, style, color, lookback, labels - **═══ PREVIOUS H/L - WEEKLY ═══**: Weekly high/low lines, style, color, lookback, labels - **═══ PREVIOUS H/L - MONTHLY ═══**: Monthly high/low lines, style, color, lookback, labels - **═══ HTF CANDLES ═══**: Global display mode, layout settings - **═══ HTF SLOT 1-5 ═══**: Individual HTF configuration (timeframe, colors, title, FVG/VI detection, trace lines, timer, interval labels) Each setting includes tooltips explaining its function. Hover over any input for detailed guidance. 📝 Final Notes One for All (OFA) represents a complete ICT analysis toolkit in a single indicator. By combining watermark customization, session visualization, kill zone highlighting, previous period levels, and higher timeframe candles with FVG/VI detection, OFA eliminates the need for multiple indicators cluttering your chart. **Version**: 3.3.0 **Author**: theCodeman **Pine Script**: v6 **License**: Mozilla Public License 2.0 Start with default settings to learn the indicator's structure, then customize extensively to match your personal trading style. Remember: tools provide information, but your edge comes from disciplined execution of a proven strategy. Happy Trading! 📈
Indicatore Pine Script®
di Arslan_cs
Scout Regiment - OBV# Scout Regiment - OBV Indicator ## English Documentation ### Overview Scout Regiment - OBV (On-Balance Volume) is an advanced momentum indicator that combines volume and price movement to identify the strength of buying and selling pressure. This indicator features an oscillator-based approach with divergence detection to help traders spot potential trend reversals and confirm price movements. ### What is OBV? On-Balance Volume (OBV) is a cumulative volume indicator that adds volume on up days and subtracts volume on down days: - **Rising OBV**: Accumulation (buying pressure) - **Falling OBV**: Distribution (selling pressure) - **OBV Oscillator**: The difference between OBV and its smoothed moving average, making divergences easier to spot ### Key Features #### 1. **OBV Oscillator Display** Instead of displaying raw OBV values, this indicator shows the oscillator (difference between OBV and its smoothed line): **Benefits:** - Easier to identify divergences - Clearer trend changes - More sensitive to momentum shifts - Zero line as reference point **Visual Elements:** - **Step Line**: Main OBV oscillator line - Green: Positive oscillator (accumulation) - Red: Negative oscillator (distribution) - **Histogram**: Visual representation of oscillator strength - Green bars: Above zero line - Red bars: Below zero line - **Zero Line**: White dotted horizontal line as reference #### 2. **Smoothing Options** Choose from multiple moving average types to smooth the OBV: - **None**: Raw OBV (most sensitive) - **SMA**: Simple Moving Average (equal weight) - **EMA**: Exponential Moving Average (recent price emphasis) - Default - **SMMA (RMA)**: Smoothed Moving Average (very smooth) - **WMA**: Weighted Moving Average (linear weight) - **VWMA**: Volume Weighted Moving Average (volume emphasis) **Default Settings:** - Type: EMA - Length: 21 periods - Best for: Most market conditions #### 3. **Multi-Timeframe Analysis** - Calculate OBV on any timeframe - View higher timeframe momentum on lower timeframe charts - Align trades with larger timeframe volume trends - Empty field = Current chart timeframe #### 4. **Visual Enhancements** **Background Color** - Light green: Positive oscillator (bullish volume pressure) - Light red: Negative oscillator (bearish volume pressure) - Optional display for cleaner charts **Crossover Labels** - "突破" (Breakout): When oscillator crosses above zero - "跌破" (Breakdown): When oscillator crosses below zero - Indicates potential trend changes - Can be toggled on/off #### 5. **Comprehensive Divergence Detection** The indicator automatically detects four types of divergences: **Regular Bullish Divergence (Yellow)** - **Price**: Makes lower lows - **OBV**: Makes higher lows - **Signal**: Potential upward reversal - **Label**: "看涨" (Bullish) - **Use**: Enter long positions **Regular Bearish Divergence (Blue)** - **Price**: Makes higher highs - **OBV**: Makes lower highs - **Signal**: Potential downward reversal - **Label**: "看跌" (Bearish) - **Use**: Enter short positions or exit longs **Hidden Bullish Divergence (Light Yellow)** - **Price**: Makes higher lows - **OBV**: Makes lower lows - **Signal**: Trend continuation (uptrend) - **Label**: "隐藏看涨" (Hidden Bullish) - **Use**: Add to long positions **Hidden Bearish Divergence (Light Blue)** - **Price**: Makes lower highs - **OBV**: Makes higher highs - **Signal**: Trend continuation (downtrend) - **Label**: "隐藏看跌" (Hidden Bearish) - **Use**: Add to short positions #### 6. **Customizable Divergence Detection** **Pivot Lookback Settings:** - **Left Lookback**: Bars to the left of pivot (default: 5) - **Right Lookback**: Bars to the right of pivot (default: 5) - Determines how "extreme" a point must be to qualify as a pivot **Range Settings:** - **Maximum Range**: Maximum bars between pivots (default: 60) - **Minimum Range**: Minimum bars between pivots (default: 5) - Filters out too-close or too-distant divergences **Display Options:** - Toggle regular divergences on/off - Toggle hidden divergences on/off - Toggle divergence labels on/off - Show only the divergences you need ### Configuration Settings #### Smoothing Settings - **Smoothing Type**: Choose MA type (None/SMA/EMA/SMMA/WMA/VWMA) - **Smoothing Length**: Number of periods for smoothing (default: 21) #### Calculation Settings - **Timeframe**: Select calculation timeframe (empty = current chart) #### Display Settings - **Show OBV Line**: Toggle step line display - **Show OBV Histogram**: Toggle histogram display - **Show Background Color**: Toggle background coloring - **Show Crossover Labels**: Toggle breakout/breakdown labels #### Divergence Settings - **Pivot Right Lookback**: Right bars for pivot detection (default: 5) - **Pivot Left Lookback**: Left bars for pivot detection (default: 5) - **Range Maximum**: Max bars between divergences (default: 60) - **Range Minimum**: Min bars between divergences (default: 5) - **Show Regular Divergences**: Enable/disable regular divergences - **Show Regular Labels**: Enable/disable regular divergence labels - **Show Hidden Divergences**: Enable/disable hidden divergences - **Show Hidden Labels**: Enable/disable hidden divergence labels ### How to Use #### For Trend Confirmation 1. **Identify Trend with Price** - Uptrend: Higher highs and higher lows - Downtrend: Lower highs and lower lows 2. **Confirm with OBV Oscillator** - Strong uptrend: OBV oscillator staying positive - Strong downtrend: OBV oscillator staying negative - Weak trend: OBV oscillator frequently crossing zero 3. **Volume Confirmation** - Trend with increasing OBV = Strong trend - Trend with decreasing OBV = Weak trend (watch for reversal) #### For Divergence Trading 1. **Enable Divergence Detection** - Start with regular divergences only - Add hidden divergences for trend continuation 2. **Wait for Divergence Signal** - Yellow label = Potential bullish reversal - Blue label = Potential bearish reversal 3. **Confirm with Price Action** - Wait for support/resistance break - Look for candlestick confirmation - Check higher timeframe alignment 4. **Enter Trade** - Enter after confirmation - Set stop loss beyond recent swing - Target based on previous swing or support/resistance #### For Breakout Trading 1. **Enable Crossover Labels** - Identify when oscillator crosses zero line 2. **Confirm Volume Strength** - Strong breakouts have large oscillator moves - Weak breakouts barely cross zero 3. **Trade Direction** - "突破" label = Enter long - "跌破" label = Enter short 4. **Manage Position** - Exit when oscillator crosses back - Use price structure for stops #### For Multi-Timeframe Analysis 1. **Set Higher Timeframe** - Example: On 15min chart, set timeframe to 1H or 4H 2. **Identify Higher Timeframe Trend** - Positive oscillator = Uptrend bias - Negative oscillator = Downtrend bias 3. **Trade with the Trend** - Only take long signals in uptrend - Only take short signals in downtrend 4. **Time Entries** - Use current timeframe for precise entry - Confirm with higher timeframe direction ### Trading Strategies #### Strategy 1: Regular Divergence Reversal **Setup:** 1. Price in strong trend (up or down) 2. Regular divergence appears 3. Price reaches support/resistance level **Entry:** - Bullish: After "看涨" label, when price breaks above recent high - Bearish: After "看跌" label, when price breaks below recent low **Stop Loss:** - Bullish: Below divergence low - Bearish: Above divergence high **Exit:** - Take profit at next major support/resistance - Or when opposite divergence appears **Best For:** Swing trading, reversal trading #### Strategy 2: Hidden Divergence Continuation **Setup:** 1. Clear trend established 2. Price pulls back (retracement) 3. Hidden divergence appears **Entry:** - Bullish: After "隐藏看涨" label, when price resumes uptrend - Bearish: After "隐藏看跌" label, when price resumes downtrend **Stop Loss:** - Behind the pullback swing point **Exit:** - Trail stop as trend continues - Exit on regular divergence (reversal signal) **Best For:** Trend following, adding to positions #### Strategy 3: Zero Line Crossover **Setup:** 1. Enable crossover labels 2. Oscillator crosses zero line 3. Confirm with price structure break **Entry:** - "突破" label = Buy signal - "跌破" label = Sell signal **Stop Loss:** - Below/above recent swing **Exit:** - When oscillator crosses back over zero - Or at predetermined target **Best For:** Momentum trading, quick trades #### Strategy 4: Multi-Timeframe Confluence **Setup:** 1. Set indicator to higher timeframe (e.g., 4H on 1H chart) 2. Wait for higher TF oscillator to be positive (uptrend) or negative (downtrend) 3. Look for entries on current timeframe aligned with higher TF **Entry:** - Long: When both timeframes show positive oscillator or bullish divergence - Short: When both timeframes show negative oscillator or bearish divergence **Stop Loss:** - Based on current timeframe structure **Exit:** - When higher timeframe oscillator turns negative (for longs) or positive (for shorts) **Best For:** Swing trading, high-probability setups ### Best Practices #### Volume Analysis 1. **Strong Moves Need Volume** - Price increase + Rising OBV = Healthy uptrend - Price increase + Falling OBV = Weak uptrend (warning) 2. **Watch for Confirmation** - New highs with new OBV highs = Confirmed - New highs without new OBV highs = Potential divergence 3. **Consider Context** - Low volume periods (Asian session, holidays) = Less reliable - High volume periods (News, London/NY overlap) = More reliable #### Divergence Trading Tips 1. **Not All Divergences Work** - Wait for price confirmation - Stronger in oversold/overbought areas - Better at support/resistance levels 2. **Multiple Divergences** - Multiple divergences on same trend = Stronger signal - Quick divergence failures = Ignore and wait for next 3. **Timeframe Matters** - Higher timeframe divergences = More reliable - Lower timeframe divergences = More frequent, less reliable #### Smoothing Selection 1. **No Smoothing (None)** - Most sensitive, more signals - More noise, more false signals - Best for: Scalping, very active trading 2. **EMA (Default)** - Balanced approach - Good for most strategies - Best for: Swing trading, day trading 3. **SMMA (RMA)** - Very smooth, fewer signals - Less responsive to sudden changes - Best for: Position trading, longer timeframes ### Indicator Combinations **With Moving Averages:** - Use EMAs for trend direction - OBV for volume confirmation - Enter when both align **With RSI:** - RSI for overbought/oversold - OBV for volume confirmation - Divergences on both = Stronger signal **With Price Action:** - Support/resistance for levels - OBV for strength confirmation - Breakouts with positive OBV = More likely to succeed **With Bias Indicator:** - Bias for price deviation - OBV for volume confirmation - Both showing divergence = High probability reversal ### Common Patterns 1. **Accumulation**: OBV rising while price consolidates (breakout likely) 2. **Distribution**: OBV falling while price consolidates (breakdown likely) 3. **Confirmation**: OBV and price both making new highs/lows (trend strong) 4. **Divergence**: OBV and price moving opposite directions (reversal warning) 5. **False Breakout**: Price breaks but OBV doesn't confirm (likely to fail) ### Performance Tips - Disable unused display features for faster loading - Start with regular divergences only, add hidden later - Use histogram for quick visual reference - Enable crossover labels for clear entry signals - Test different smoothing lengths for your market ### Alert Conditions The indicator includes alerts for: - Regular bullish divergence detected - Regular bearish divergence detected - Hidden bullish divergence detected - Hidden bearish divergence detected **How to Set Alerts:** 1. Click on the indicator name 2. Select "Add Alert" 3. Choose condition 4. Configure notification method --- ## 中文说明文档 ### 概述 Scout Regiment - OBV（能量潮）是一个高级动量指标，结合成交量和价格变动来识别买卖压力的强度。该指标采用振荡器方法并具有背离检测功能，帮助交易者发现潜在的趋势反转并确认价格走势。 ### 什么是OBV？ 能量潮（OBV）是一个累积成交量指标，在上涨日累加成交量，在下跌日减去成交量： - **上升的OBV**：积累（买入压力） - **下降的OBV**：派发（卖出压力） - **OBV振荡器**：OBV与其平滑移动平均线之间的差值，使背离更容易识别 ### 核心功能 #### 1. **OBV振荡器显示** 该指标不显示原始OBV值，而是显示振荡器（OBV与其平滑线之间的差值）： **优势：** - 更容易识别背离 - 趋势变化更清晰 - 对动量变化更敏感 - 零线作为参考点 **视觉元素：** - **阶梯线**：主OBV振荡器线 - 绿色：正振荡器（积累） - 红色：负振荡器（派发） - **柱状图**：振荡器强度的可视化表示 - 绿色柱：零线以上 - 红色柱：零线以下 - **零线**：白色虚线作为参考 #### 2. **平滑选项** 选择多种移动平均类型来平滑OBV： - **None**：原始OBV（最敏感） - **SMA**：简单移动平均（等权重） - **EMA**：指数移动平均（强调近期价格）- 默认 - **SMMA (RMA)**：平滑移动平均（非常平滑） - **WMA**：加权移动平均（线性权重） - **VWMA**：成交量加权移动平均（强调成交量） **默认设置：** - 类型：EMA - 长度：21周期 - 适合：大多数市场状况 #### 3. **多时间框架分析** - 在任何时间框架上计算OBV - 在低时间框架图表上查看高时间框架动量 - 使交易与更大时间框架的成交量趋势保持一致 - 空字段 = 当前图表时间框架 #### 4. **视觉增强** **背景颜色** - 浅绿色：正振荡器（看涨成交量压力） - 浅红色：负振荡器（看跌成交量压力） - 可选显示，图表更清爽 **穿越标签** - "突破"：振荡器向上穿越零线 - "跌破"：振荡器向下穿越零线 - 指示潜在趋势变化 - 可开关 #### 5. **全面的背离检测** 指标自动检测四种类型的背离： **常规看涨背离（黄色）** - **价格**：创新低 - **OBV**：创更高的低点 - **信号**：潜在向上反转 - **标签**："看涨" - **用途**：进入多头仓位 **常规看跌背离（蓝色）** - **价格**：创新高 - **OBV**：创更低的高点 - **信号**：潜在向下反转 - **标签**："看跌" - **用途**：进入空头仓位或退出多头 **隐藏看涨背离（浅黄色）** - **价格**：创更高的低点 - **OBV**：创更低的低点 - **信号**：趋势延续（上升趋势） - **标签**："隐藏看涨" - **用途**：加仓多头 **隐藏看跌背离（浅蓝色）** - **价格**：创更低的高点 - **OBV**：创更高的高点 - **信号**：趋势延续（下降趋势） - **标签**："隐藏看跌" - **用途**：加仓空头 #### 6. **可自定义的背离检测** **枢轴回溯设置：** - **左侧回溯**：枢轴点左侧K线数（默认：5） - **右侧回溯**：枢轴点右侧K线数（默认：5） - 决定一个点要多"极端"才能成为枢轴点 **范围设置：** - **最大范围**：枢轴点之间最大K线数（默认：60） - **最小范围**：枢轴点之间最小K线数（默认：5） - 过滤太近或太远的背离 **显示选项：** - 开关常规背离 - 开关隐藏背离 - 开关背离标签 - 只显示需要的背离 ### 配置设置 #### 平滑设置 - **平滑类型**：选择MA类型（None/SMA/EMA/SMMA/WMA/VWMA） - **平滑长度**：平滑周期数（默认：21） #### 计算设置 - **时间周期**：选择计算时间框架（空 = 当前图表） #### 显示设置 - **显示OBV点线**：切换阶梯线显示 - **显示OBV柱状图**：切换柱状图显示 - **显示背景颜色**：切换背景着色 - **显示突破标签**：切换突破/跌破标签 #### 背离设置 - **枢轴右侧回溯**：枢轴检测右侧K线数（默认：5） - **枢轴左侧回溯**：枢轴检测左侧K线数（默认：5） - **回看范围最大值**：背离之间最大K线数（默认：60） - **回看范围最小值**：背离之间最小K线数（默认：5） - **显示常规背离**：启用/禁用常规背离 - **显示常规背离标签**：启用/禁用常规背离标签 - **显示隐藏背离**：启用/禁用隐藏背离 - **显示隐藏背离标签**：启用/禁用隐藏背离标签 ### 使用方法 #### 趋势确认 1. **用价格识别趋势** - 上升趋势：更高的高点和更高的低点 - 下降趋势：更低的高点和更低的低点 2. **用OBV振荡器确认** - 强劲上升趋势：OBV振荡器保持正值 - 强劲下降趋势：OBV振荡器保持负值 - 弱势趋势：OBV振荡器频繁穿越零线 3. **成交量确认** - 趋势伴随上升的OBV = 强趋势 - 趋势伴随下降的OBV = 弱趋势（注意反转） #### 背离交易 1. **启用背离检测** - 先从常规背离开始 - 添加隐藏背离用于趋势延续 2. **等待背离信号** - 黄色标签 = 潜在看涨反转 - 蓝色标签 = 潜在看跌反转 3. **用价格行为确认** - 等待支撑/阻力突破 - 寻找K线确认 - 检查更高时间框架对齐 4. **进入交易** - 确认后进入 - 在近期波动之外设置止损 - 基于前一波动或支撑/阻力设定目标 #### 突破交易 1. **启用穿越标签** - 识别振荡器何时穿越零线 2. **确认成交量强度** - 强突破有大振荡器移动 - 弱突破勉强穿越零线 3. **交易方向** - "突破"标签 = 进入多头 - "跌破"标签 = 进入空头 4. **管理仓位** - 振荡器反向穿越时退出 - 使用价格结构设置止损 #### 多时间框架分析 1. **设置更高时间框架** - 例如：在15分钟图上，设置时间框架为1H或4H 2. **识别更高时间框架趋势** - 正振荡器 = 上升趋势偏向 - 负振荡器 = 下降趋势偏向 3. **顺趋势交易** - 仅在上升趋势中接受多头信号 - 仅在下降趋势中接受空头信号 4. **把握入场时机** - 使用当前时间框架进行精确进入 - 用更高时间框架方向确认 ### 交易策略 #### 策略1：常规背离反转 **设置：** 1. 价格处于强趋势（上涨或下跌） 2. 出现常规背离 3. 价格到达支撑/阻力水平 **入场：** - 看涨：在"看涨"标签后，价格突破近期高点时 - 看跌：在"看跌"标签后，价格跌破近期低点时 **止损：** - 看涨：背离低点之下 - 看跌：背离高点之上 **退出：** - 在下一个主要支撑/阻力获利 - 或出现相反背离时 **适合：**波段交易、反转交易 #### 策略2：隐藏背离延续 **设置：** 1. 建立明确趋势 2. 价格回调（回撤） 3. 出现隐藏背离 **入场：** - 看涨：在"隐藏看涨"标签后，价格恢复上升趋势时 - 看跌：在"隐藏看跌"标签后，价格恢复下降趋势时 **止损：** - 在回调波动点之后 **退出：** - 随着趋势延续移动止损 - 出现常规背离（反转信号）时退出 **适合：**趋势跟随、加仓 #### 策略3：零线穿越 **设置：** 1. 启用穿越标签 2. 振荡器穿越零线 3. 用价格结构突破确认 **入场：** - "突破"标签 = 买入信号 - "跌破"标签 = 卖出信号 **止损：** - 近期波动之下/之上 **退出：** - 振荡器反向穿越零线时 - 或在预定目标 **适合：**动量交易、快速交易 #### 策略4：多时间框架汇合 **设置：** 1. 设置指标到更高时间框架（例如，在1H图上设置4H） 2. 等待更高TF振荡器为正（上升趋势）或负（下降趋势） 3. 在当前时间框架上寻找与更高TF一致的入场机会 **入场：** - 多头：两个时间框架都显示正振荡器或看涨背离时 - 空头：两个时间框架都显示负振荡器或看跌背离时 **止损：** - 基于当前时间框架结构 **退出：** - 更高时间框架振荡器变为负（多头）或正（空头）时 **适合：**波段交易、高概率设置 ### 最佳实践 #### 成交量分析 1. **强势波动需要成交量** - 价格上涨 + 上升的OBV = 健康上升趋势 - 价格上涨 + 下降的OBV = 弱上升趋势（警告） 2. **注意确认** - 新高伴随新OBV高点 = 已确认 - 新高没有新OBV高点 = 潜在背离 3. **考虑背景** - 低成交量期（亚洲时段、假期）= 可靠性较低 - 高成交量期（新闻、伦敦/纽约重叠）= 更可靠 #### 背离交易技巧 1. **不是所有背离都有效** - 等待价格确认 - 在超卖/超买区域更强 - 在支撑/阻力水平更好 2. **多重背离** - 同一趋势上多个背离 = 更强信号 - 背离快速失败 = 忽略并等待下一个 3. **时间框架重要** - 更高时间框架背离 = 更可靠 - 更低时间框架背离 = 更频繁，可靠性较低 #### 平滑选择 1. **无平滑（None）** - 最敏感，更多信号 - 更多噪音，更多假信号 - 适合：剥头皮、非常活跃的交易 2. **EMA（默认）** - 平衡方法 - 适合大多数策略 - 适合：波段交易、日内交易 3. **SMMA (RMA)** - 非常平滑，更少信号 - 对突然变化响应较慢 - 适合：仓位交易、更长时间框架 ### 指标组合 **与移动平均线配合：** - 使用EMA确定趋势方向 - OBV确认成交量 - 两者一致时进入 **与RSI配合：** - RSI用于超买超卖 - OBV用于成交量确认 - 两者都背离 = 更强信号 **与价格行为配合：** - 支撑/阻力确定水平 - OBV确认强度 - 正OBV的突破 = 更可能成功 **与Bias指标配合：** - Bias用于价格偏离 - OBV用于成交量确认 - 两者都显示背离 = 高概率反转 ### 常见形态 1. **积累**：OBV上升而价格盘整（突破可能） 2. **派发**：OBV下降而价格盘整（跌破可能） 3. **确认**：OBV和价格都创新高/新低（趋势强劲） 4. **背离**：OBV和价格反向移动（反转警告） 5. **假突破**：价格突破但OBV不确认（可能失败） ### 性能提示 - 禁用未使用的显示功能以加快加载 - 先从常规背离开始，稍后添加隐藏背离 - 使用柱状图快速视觉参考 - 启用穿越标签以获得清晰的入场信号 - 为您的市场测试不同的平滑长度 ### 警报条件 指标包含以下警报： - 检测到常规看涨背离 - 检测到常规看跌背离 - 检测到隐藏看涨背离 - 检测到隐藏看跌背离 **如何设置警报：** 1. 点击指标名称 2. 选择"添加警报" 3. 选择条件 4. 配置通知方法 --- ## Technical Support For questions or issues, please refer to the TradingView community or contact the indicator creator. ## 技术支持 如有问题，请参考TradingView社区或联系指标创建者。
Indicatore Pine Script®
di lwmxmpyp
Liquidity Void Zone Detector [PhenLabs]📊 Liquidity Void Zone Detector Version: PineScript™v6 📌 Description The Liquidity Void Zone Detector is a sophisticated technical indicator designed to identify and visualize areas where price moved with abnormally low volume or rapid momentum, creating "voids" in market liquidity. These zones represent areas where insufficient trading activity occurred during price movement, often acting as magnets for future price action as the market seeks to fill these gaps. Built on PineScript v6, this indicator employs a dual-detection methodology that analyzes both volume depletion patterns and price movement intensity relative to ATR. The revolutionary 3D visualization system uses three-layer polyline rendering with adaptive transparency and vertical offsets, creating genuine depth perception where low liquidity zones visually recede and high liquidity zones protrude forward. This makes critical market structure immediately apparent without cluttering your chart. 🚀 Points of Innovation Dual detection algorithm combining volume threshold analysis and ATR-normalized price movement sensitivity for comprehensive void identification Three-layer 3D visualization system with progressive transparency gradients (85%, 78%, 70%) and calculated vertical offsets for authentic depth perception Intelligent state machine logic that tracks consecutive void bars and only renders zones meeting minimum qualification requirements Dynamic strength scoring system (0-100 scale) that combines inverted volume ratios with movement intensity for accurate void characterization Adaptive ATR-based spacing calculation that automatically adjusts 3D layering depth to match instrument volatility Efficient memory management system supporting up to 100 simultaneous void visualizations with automatic array-based cleanup 🔧 Core Components Volume Analysis Engine: Calculates rolling volume averages and compares current bar volume against dynamic thresholds to detect abnormally thin trading conditions Price Movement Analyzer: Normalizes bar range against ATR to identify rapid price movements that indicate liquidity exhaustion regardless of instrument or timeframe Void Tracking State Machine: Maintains persistent tracking of void start bars, price boundaries, consecutive bar counts, and cumulative strength across multiple bars 3D Polyline Renderer: Generates three-layer rectangular polylines with precise timestamp-to-bar index conversion and progressive offset calculations Strength Calculation System: Combines volume component (inverted ratio capped at 100) with movement component (ATR intensity × 30) for comprehensive void scoring 🔥 Key Features Automatic Void Detection: Continuously scans price action for low volume conditions or rapid movements, triggering void tracking when thresholds are exceeded Real-Time Visualization: Creates 3D rectangular zones spanning from void initiation to termination, with color-coded depth indicating liquidity type Adjustable Sensitivity: Configure volume threshold multiplier (0.1-2.0x), price movement sensitivity (0.5-5.0x), and minimum qualifying bars (1-10) for customized detection Dual Color Coding: Separate visual treatment for low liquidity voids (receding red) and high liquidity zones (protruding green) based on 50-point strength threshold Optional Compact Labels: Toggle LV (Low Volume) or HV (High Volume) circular labels at void centers for quick identification without visual clutter Lookback Period Control: Adjust analysis window from 5 to 100 bars to match your trading timeframe and market volatility characteristics Memory-Efficient Design: Automatically manages polyline and label arrays, deleting oldest elements when user-defined maximum is reached Data Window Integration: Plots void detection binary, current strength score, and average volume for detailed analysis in TradingView's data window 🎨 Visualization Three-Layer Depth System: Each void is rendered as three stacked polylines with progressive transparency (85%, 78%, 70%) and calculated vertical offsets creating authentic 3D appearance Directional Depth Perception: Low liquidity zones recede with back layer most transparent; high liquidity zones protrude with front layer most transparent for instant visual differentiation Adaptive Offset Spacing: Vertical separation between layers calculated as ATR(14) × 0.001, ensuring consistent 3D effect across different instruments and volatility regimes Color Customization: Fully configurable base colors for both low liquidity zones (default: red with 80 transparency) and high liquidity zones (default: green with 80 transparency) Minimal Chart Clutter: Closed polylines with matching line and fill colors create clean rectangular zones without unnecessary borders or visual noise Background Highlight: Subtle yellow background (96% transparency) marks bars where void conditions are actively detected in real-time Compact Labeling: Optional tiny circular labels with 60% transparent backgrounds positioned at void center points for quick reference 📖 Usage Guidelines Detection Settings Lookback Period: Default: 10 | Range: 5-100 | Number of bars analyzed for volume averaging and void detection. Lower values increase sensitivity to recent changes; higher values smooth detection across longer timeframes. Adjust based on your trading timeframe: short-term traders use 5-15, swing traders use 20-50, position traders use 50-100. Volume Threshold: Default: 1.0 | Range: 0.1-2.0 (step 0.1) | Multiplier applied to average volume. Bars with volume below (average × threshold) trigger void conditions. Lower values detect only extreme volume depletion; higher values capture more moderate low-volume situations. Start with 1.0 and decrease to 0.5-0.7 for stricter detection. Price Movement Sensitivity: Default: 1.5 | Range: 0.5-5.0 (step 0.1) | Multiplier for ATR-normalized price movement detection. Values above this threshold indicate rapid price changes suggesting liquidity voids. Increase to 2.0-3.0 for volatile instruments; decrease to 0.8-1.2 for ranging or low-volatility conditions. Minimum Void Bars: Default: 10 | Range: 1-10 | Minimum consecutive bars exhibiting void conditions required before visualization is created. Filters out brief anomalies and ensures only sustained voids are displayed. Use 1-3 for scalping, 5-10 for intraday trading, 10+ for swing trading to match your time horizon. Visual Settings Low Liquidity Color: Default: Red (80% transparent) | Base color for zones where volume depletion or rapid movement indicates thin liquidity. These zones recede visually (back layer most transparent). Choose colors that contrast with your chart theme for optimal visibility. High Liquidity Color: Default: Green (80% transparent) | Base color for zones with relatively higher liquidity compared to void threshold. These zones protrude visually (front layer most transparent). Ensure clear differentiation from low liquidity color. Show Void Labels: Default: True | Toggle display of compact LV/HV labels at void centers. Disable for cleaner charts when trading; enable for analysis and review to quickly identify void types across your chart. Max Visible Voids: Default: 50 | Range: 10-100 | Maximum number of void visualizations kept on chart. Each void uses 3 polylines, so setting of 50 maintains 150 total polylines. Higher values preserve more history but may impact performance on lower-end systems. ✅ Best Use Cases Gap Fill Trading: Identify unfilled liquidity voids that price frequently returns to, providing high-probability retest and reversal opportunities when price approaches these zones Breakout Validation: Distinguish genuine breakouts through established liquidity from false breaks into void zones that lack sustainable volume support Support/Resistance Confluence: Layer void detection over key horizontal levels to validate structural integrity—levels within high liquidity zones are stronger than those in voids Trend Continuation: Monitor for new void formation in trend direction as potential continuation zones where price may accelerate due to reduced resistance Range Trading: Identify void zones within consolidation ranges that price tends to traverse quickly, helping to avoid getting caught in rapid moves through thin areas Entry Timing: Wait for price to reach void boundaries rather than entering mid-void, as voids tend to be traversed quickly with limited profit-taking opportunities ⚠️ Limitations Historical Pattern Indicator: Identifies past liquidity voids but cannot predict whether price will return to fill them or when filling might occur No Volume on Forex: Indicator uses tick volume for forex pairs, which approximates but doesn't represent true trading volume, potentially affecting detection accuracy Lagging Confirmation: Requires minimum consecutive bars (default 10) before void is visualized, meaning detection occurs after void formation begins Trending Market Behavior: Strong trends driven by fundamental catalysts may create voids that remain unfilled for extended periods or permanently Timeframe Dependency: Detection sensitivity varies significantly across timeframes; settings optimized for one timeframe may not perform well on others No Directional Bias: Indicator identifies liquidity characteristics but provides no predictive signal for price direction after void detection Performance Considerations: Higher max visible void settings combined with small minimum void bars can generate numerous visualizations impacting chart rendering speed 💡 What Makes This Unique Industry-First 3D Visualization: Unlike flat volume or liquidity indicators, the three-layer rendering with directional depth perception provides instant visual hierarchy of liquidity quality Dual-Mode Detection: Combines both volume-based and movement-based detection methodologies, capturing voids that single-approach indicators miss Intelligent Qualification System: State machine logic prevents premature visualization by requiring sustained void conditions, reducing false signals and chart clutter ATR-Normalized Analysis: All detection thresholds adapt to instrument volatility, ensuring consistent performance across stocks, forex, crypto, and futures without constant recalibration Transparency-Based Depth: Uses progressive transparency gradients rather than colors or patterns to create depth, maintaining visual clarity while conveying information hierarchy Comprehensive Strength Metrics: 0-100 void strength calculation considers both the degree of volume depletion and the magnitude of price movement for nuanced zone characterization 🔬 How It Works Phase 1: Real-Time Detection On each bar close, the indicator calculates average volume over the lookback period and compares current bar volume against the volume threshold multiplier Simultaneously measures current bar's high-low range and normalizes it against ATR, comparing the result to price movement sensitivity parameter If either volume falls below threshold OR movement exceeds sensitivity threshold, the bar is flagged as exhibiting void characteristics Phase 2: Void Tracking & Qualification When void conditions first appear, state machine initializes tracking variables: start bar index, initial top/bottom prices, consecutive bar counter, and cumulative strength accumulator Each subsequent bar with void conditions extends the tracking, updating price boundaries to envelope all bars and accumulating strength scores When void conditions cease, system checks if consecutive bar count meets minimum threshold; if yes, proceeds to visualization; if no, discards the tracking and resets Phase 3: 3D Visualization Construction Calculates average void strength by dividing cumulative strength by number of bars, then determines if void is low liquidity (>50 strength) or high liquidity (≤50 strength) Generates three polyline layers spanning from start bar to end bar and from top price to bottom price, each with calculated vertical offset based on ATR Applies progressive transparency (85%, 78%, 70%) with layer ordering creating recession effect for low liquidity zones and protrusion effect for high liquidity zones Creates optional center label and pushes all visual elements into arrays for memory management Phase 4: Memory Management & Display Continuously monitors polyline array size (each void creates 3 polylines); when total exceeds max visible voids × 3, deletes oldest polylines via array.shift() Similarly manages label array, removing oldest labels when count exceeds maximum to prevent memory accumulation over extended chart history Plots diagnostic data to TradingView’s data window (void detection binary, current strength, average volume) for detailed analysis without cluttering main chart 💡 Note: This indicator is designed to enhance your market structure analysis by revealing liquidity characteristics that aren’t visible through standard price and volume displays. For best results, combine void detection with your existing support/resistance analysis, trend identification, and risk management framework. Liquidity voids are descriptive of past market behavior and should inform positioning decisions rather than serve as standalone entry/exit signals. Experiment with detection parameters across different timeframes to find settings that align with your trading style and instrument characteristics.
Indicatore Pine Script®
di PhenLabs
Hellenic EMA Matrix - PremiumHellenic EMA Matrix - Alpha Omega Premium Complete User Guide Table of Contents Introduction Indicator Philosophy Mathematical Constants EMA Types Settings Trading Signals Visualization Usage Strategies FAQ Introduction Hellenic EMA Matrix is a premium indicator based on mathematical constants of nature: Phi (Phi - Golden Ratio), Pi (Pi), e (Euler's number). The indicator uses these universal constants to create dynamic EMAs that adapt to the natural rhythms of the market. Key Features: 6 EMA types based on mathematical constants Premium visualization with Neon Glow and Gradient Clouds Automatic Fast/Mid/Slow EMA sorting STRONG signals for powerful trends Pulsing Ribbon Bar for instant trend assessment Works on all timeframes (M1 - MN) Indicator Philosophy Why Mathematical Constants? Traditional EMAs use arbitrary periods (9, 21, 50, 200). Hellenic Matrix goes further, using universal mathematical constants found in nature: Phi (1.618) - Golden Ratio: galaxy spirals, seashells, human body proportions Pi (3.14159) - Pi: circles, waves, cycles e (2.71828) - Natural logarithm base: exponential growth, radioactive decay Markets are also a natural system composed of millions of participants. Using mathematical constants allows tuning into the natural rhythms of market cycles. Mathematical Constants Phi (Phi) - Golden Ratio Phi = 1.618033988749895 Properties: Phi² = Phi + 1 = 2.618 Phi³ = 4.236 Phi⁴ = 6.854 Application: Ideal for trending movements and Fibonacci corrections Pi (Pi) - Pi Number Pi = 3.141592653589793 Properties: 2Pi = 6.283 (full circle) 3Pi = 9.425 4Pi = 12.566 Application: Excellent for cyclical markets and wave structures e (Euler) - Euler's Number e = 2.718281828459045 Properties: e² = 7.389 e³ = 20.085 e⁴ = 54.598 Application: Suitable for exponential movements and volatile markets EMA Types 1. Phi (Phi) - Golden Ratio EMA Description: EMA based on the golden ratio Period Formula: Period = Phi^n × Base Multiplier Parameters: Phi Power Level (1-8): Power of Phi Phi¹ = 1.618 → ~16 period (with Base=10) Phi² = 2.618 → ~26 period Phi³ = 4.236 → ~42 period (recommended) Phi⁴ = 6.854 → ~69 period Recommendations: Phi² or Phi³ for day trading Phi⁴ or Phi⁵ for swing trading Works excellently as Fast EMA 2. Pi (Pi) - Circular EMA Description: EMA based on Pi for cyclical movements Period Formula: Period = Pi × Multiple × Base Multiplier Parameters: Pi Multiple (1-10): Pi multiplier 1Pi = 3.14 → ~31 period (with Base=10) 2Pi = 6.28 → ~63 period (recommended) 3Pi = 9.42 → ~94 period Recommendations: 2Pi ideal as Mid or Slow EMA Excellently identifies cycles and waves Use on volatile markets (crypto, forex) 3. e (Euler) - Natural EMA Description: EMA based on natural logarithm Period Formula: Period = e^n × Base Multiplier Parameters: e Power Level (1-6): Power of e e¹ = 2.718 → ~27 period (with Base=10) e² = 7.389 → ~74 period (recommended) e³ = 20.085 → ~201 period Recommendations: e² works excellently as Slow EMA Ideal for stocks and indices Filters noise well on lower timeframes 4. Delta (Delta) - Adaptive EMA Description: Adaptive EMA that changes period based on volatility Period Formula: Period = Base Period × (1 + (Volatility - 1) × Factor) Parameters: Delta Base Period (5-200): Base period (default 20) Delta Volatility Sensitivity (0.5-5.0): Volatility sensitivity (default 2.0) How it works: During low volatility → period decreases → EMA reacts faster During high volatility → period increases → EMA smooths noise Recommendations: Works excellently on news and sharp movements Use as Fast EMA for quick adaptation Sensitivity 2.0-3.0 for crypto, 1.0-2.0 for stocks 5. Sigma (Sigma) - Composite EMA Description: Composite EMA combining multiple active EMAs Composition Methods: Weighted Average (default): Sigma = (Phi + Pi + e + Delta) / 4 Simple average of all active EMAs Geometric Mean: Sigma = fourth_root(Phi × Pi × e × Delta) Geometric mean (more conservative) Harmonic Mean: Sigma = 4 / (1/Phi + 1/Pi + 1/e + 1/Delta) Harmonic mean (more weight to smaller values) Recommendations: Enable for additional confirmation Use as Mid EMA Weighted Average - most universal method 6. Lambda (Lambda) - Wave EMA Description: Wave EMA with sinusoidal period modulation Period Formula: Period = Base Period × (1 + Amplitude × sin(2Pi × bar / Frequency)) Parameters: Lambda Base Period (10-200): Base period Lambda Wave Amplitude (0.1-2.0): Wave amplitude Lambda Wave Frequency (10-200): Wave frequency in bars How it works: Period pulsates sinusoidally Creates wave effect following market cycles Recommendations: Experimental EMA for advanced users Works well on cyclical markets Frequency = 50 for day trading, 100+ for swing Settings Matrix Core Settings Base Multiplier (1-100) Multiplies all EMA periods Base = 1: Very fast EMAs (Phi³ = 4, 2Pi = 6, e² = 7) Base = 10: Standard (Phi³ = 42, 2Pi = 63, e² = 74) Base = 20: Slow EMAs (Phi³ = 85, 2Pi = 126, e² = 148) Recommendations by timeframe: M1-M5: Base = 5-10 M15-H1: Base = 10-15 (recommended) H4-D1: Base = 15-25 W1-MN: Base = 25-50 Matrix Source Data source selection for EMA calculation: close - closing price (standard) open - opening price high - high low - low hl2 - (high + low) / 2 hlc3 - (high + low + close) / 3 ohlc4 - (open + high + low + close) / 4 When to change: hlc3 or ohlc4 for smoother signals high for aggressive longs low for aggressive shorts Manual EMA Selection Critically important setting! Determines which EMAs are used for signal generation. Use Manual Fast/Slow/Mid Selection Enabled (default): You select EMAs manually Disabled: Automatic selection by periods Fast EMA Fast EMA - reacts first to price changes Recommendations: Phi Golden (recommended) - universal choice Delta Adaptive - for volatile markets Must be fastest (smallest period) Slow EMA Slow EMA - determines main trend Recommendations: Pi Circular (recommended) - excellent trend filter e Natural - for smoother trend Must be slowest (largest period) Mid EMA Mid EMA - additional signal filter Recommendations: e Natural (recommended) - excellent middle level Pi Circular - alternative None - for more frequent signals (only 2 EMAs) IMPORTANT: The indicator automatically sorts selected EMAs by their actual periods: Fast = EMA with smallest period Mid = EMA with middle period Slow = EMA with largest period Therefore, you can select any combination - the indicator will arrange them correctly! Premium Visualization Neon Glow Enable Neon Glow for EMAs - adds glowing effect around EMA lines Glow Strength: Light - subtle glow Medium (recommended) - optimal balance Strong - bright glow (may be too bright) Effect: 2 glow layers around each EMA for 3D effect Gradient Clouds Enable Gradient Clouds - fills space between EMAs with gradient Parameters: Cloud Transparency (85-98): Cloud transparency 95-97 (recommended) Higher = more transparent Dynamic Cloud Intensity - automatically changes transparency based on EMA distance Cloud Colors: Phi-Pi Cloud: Blue - when Pi above Phi (bullish) Gold - when Phi above Pi (bearish) Pi-e Cloud: Green - when e above Pi (bullish) Blue - when Pi above e (bearish) 2 layers for volumetric effect Pulsing Ribbon Bar Enable Pulsing Indicator Bar - pulsing strip at bottom/top of chart Parameters: Ribbon Position: Top / Bottom (recommended) Pulse Speed: Slow / Medium (recommended) / Fast Symbols and colors: Green filled square - STRONG BULLISH Pink filled square - STRONG BEARISH Blue hollow square - Bullish (regular) Red hollow square - Bearish (regular) Purple rectangle - Neutral Effect: Pulsation with sinusoid for living market feel Signal Bar Highlights Enable Signal Bar Highlights - highlights bars with signals Parameters: Highlight Transparency (88-96): Highlight transparency Highlight Style: Light Fill (recommended) - bar background fill Thin Line - bar outline only Highlights: Golden Cross - green Death Cross - pink STRONG BUY - green STRONG SELL - pink Show Greek Labels Shows Greek alphabet letters on last bar: Phi - Phi EMA (gold) Pi - Pi EMA (blue) e - Euler EMA (green) Delta - Delta EMA (purple) Sigma - Sigma EMA (pink) When to use: For education or presentations Show Old Background Old background style (not recommended): Green background - STRONG BULLISH Pink background - STRONG BEARISH Blue background - Bullish Red background - Bearish Not recommended - use new Gradient Clouds and Pulsing Bar Info Table Show Info Table - table with indicator information Parameters: Position: Top Left / Top Right (recommended) / Bottom Left / Bottom Right Size: Tiny / Small (recommended) / Normal / Large Table contents: EMA list - periods and current values of all active EMAs Effects - active visual effects TREND - current trend state: STRONG UP - strong bullish STRONG DOWN - strong bearish Bullish - regular bullish Bearish - regular bearish Neutral - neutral Momentum % - percentage deviation of price from Fast EMA Setup - current Fast/Slow/Mid configuration Trading Signals Show Golden/Death Cross Golden Cross - Fast EMA crosses Slow EMA from below (bullish signal) Death Cross - Fast EMA crosses Slow EMA from above (bearish signal) Symbols: Yellow dot "GC" below - Golden Cross Dark red dot "DC" above - Death Cross Show STRONG Signals STRONG BUY and STRONG SELL - the most powerful indicator signals Conditions for STRONG BULLISH: EMA Alignment: Fast > Mid > Slow (all EMAs aligned) Trend: Fast > Slow (clear uptrend) Distance: EMAs separated by minimum 0.15% Price Position: Price above Fast EMA Fast Slope: Fast EMA rising Slow Slope: Slow EMA rising Mid Trending: Mid EMA also rising (if enabled) Conditions for STRONG BEARISH: Same but in reverse Visual display: Green label "STRONG BUY" below bar Pink label "STRONG SELL" above bar Difference from Golden/Death Cross: Golden/Death Cross = crossing moment (1 bar) STRONG signal = sustained trend (lasts several bars) IMPORTANT: After fixes, STRONG signals now: Work on all timeframes (M1 to MN) Don't break on small retracements Work with any Fast/Mid/Slow combination Automatically adapt thanks to EMA sorting Show Stop Loss/Take Profit Automatic SL/TP level calculation on STRONG signal Parameters: Stop Loss (ATR) (0.5-5.0): ATR multiplier for stop loss 1.5 (recommended) - standard 1.0 - tight stop 2.0-3.0 - wide stop Take Profit R:R (1.0-5.0): Risk/reward ratio 2.0 (recommended) - standard (risk 1.5 ATR, profit 3.0 ATR) 1.5 - conservative 3.0-5.0 - aggressive Formulas: LONG: Stop Loss = Entry - (ATR × Stop Loss ATR) Take Profit = Entry + (ATR × Stop Loss ATR × Take Profit R:R) SHORT: Stop Loss = Entry + (ATR × Stop Loss ATR) Take Profit = Entry - (ATR × Stop Loss ATR × Take Profit R:R) Visualization: Red X - Stop Loss Green X - Take Profit Levels remain active while STRONG signal persists Trading Signals Signal Types 1. Golden Cross Description: Fast EMA crosses Slow EMA from below Signal: Beginning of bullish trend How to trade: ENTRY: On bar close with Golden Cross STOP: Below local low or below Slow EMA TARGET: Next resistance level or 2:1 R:R Strengths: Simple and clear Works well on trending markets Clear entry point Weaknesses: Lags (signal after movement starts) Many false signals in ranging markets May be late on fast moves Optimal timeframes: H1, H4, D1 2. Death Cross Description: Fast EMA crosses Slow EMA from above Signal: Beginning of bearish trend How to trade: ENTRY: On bar close with Death Cross STOP: Above local high or above Slow EMA TARGET: Next support level or 2:1 R:R Application: Mirror of Golden Cross 3. STRONG BUY Description: All EMAs aligned + trend + all EMAs rising Signal: Powerful bullish trend How to trade: ENTRY: On bar close with STRONG BUY or on pullback to Fast EMA STOP: Below Fast EMA or automatic SL (if enabled) TARGET: Automatic TP (if enabled) or by levels TRAILING: Follow Fast EMA Entry strategies: Aggressive: Enter immediately on signal Conservative: Wait for pullback to Fast EMA, then enter on bounce Pyramiding: Add positions on pullbacks to Mid EMA Position management: Hold while STRONG signal active Exit on STRONG SELL or Death Cross appearance Move stop behind Fast EMA Strengths: Most reliable indicator signal Doesn't break on pullbacks Catches large moves Works on all timeframes Weaknesses: Appears less frequently than other signals Requires confirmation (multiple conditions) Optimal timeframes: All (M5 - D1) 4. STRONG SELL Description: All EMAs aligned down + downtrend + all EMAs falling Signal: Powerful bearish trend How to trade: Mirror of STRONG BUY Visual Signals Pulsing Ribbon Bar Quick market assessment at a glance: Symbol Color State Filled square Green STRONG BULLISH Filled square Pink STRONG BEARISH Hollow square Blue Bullish Hollow square Red Bearish Rectangle Purple Neutral Pulsation: Sinusoidal, creates living effect Signal Bar Highlights Bars with signals are highlighted: Green highlight: STRONG BUY or Golden Cross Pink highlight: STRONG SELL or Death Cross Gradient Clouds Colored space between EMAs shows trend strength: Wide clouds - strong trend Narrow clouds - weak trend or consolidation Color change - trend change Info Table Quick reference in corner: TREND: Current state (STRONG UP, Bullish, Neutral, Bearish, STRONG DOWN) Momentum %: Movement strength Effects: Active visual effects Setup: Fast/Slow/Mid configuration Usage Strategies Strategy 1: "Golden Trailing" Idea: Follow STRONG signals using Fast EMA as trailing stop Settings: Fast: Phi Golden (Phi³) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base Multiplier: 10 Timeframe: H1, H4 Entry rules: Wait for STRONG BUY Enter on bar close or on pullback to Fast EMA Stop below Fast EMA Management: Hold position while STRONG signal active Move stop behind Fast EMA daily Exit on STRONG SELL or Death Cross Take Profit: Partially close at +2R Trail remainder until exit signal For whom: Swing traders, trend followers Pros: Catches large moves Simple rules Emotionally comfortable Cons: Requires patience Possible extended drawdowns on pullbacks Strategy 2: "Scalping Bounces" Idea: Scalp bounces from Fast EMA during STRONG trend Settings: Fast: Delta Adaptive (Base 15, Sensitivity 2.0) Mid: Phi Golden (Phi²) Slow: Pi Circular (2Pi) Base Multiplier: 5 Timeframe: M5, M15 Entry rules: STRONG signal must be active Wait for price pullback to Fast EMA Enter on bounce (candle closes above/below Fast EMA) Stop behind local extreme (15-20 pips) Take Profit: +1.5R or to Mid EMA Or to next level For whom: Active day traders Pros: Many signals Clear entry point Quick profits Cons: Requires constant monitoring Not all bounces work Requires discipline for frequent trading Strategy 3: "Triple Filter" Idea: Enter only when all 3 EMAs and price perfectly aligned Settings: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (3Pi) Base Multiplier: 15 Timeframe: H4, D1 Entry rules (LONG): STRONG BUY active Price above all three EMAs Fast > Mid > Slow (all aligned) All EMAs rising (slope up) Gradient Clouds wide and bright Entry: On bar close meeting all conditions Or on next pullback to Fast EMA Stop: Below Mid EMA or -1.5 ATR Take Profit: First target: +3R Second target: next major level Trailing: Mid EMA For whom: Conservative swing traders, investors Pros: Very reliable signals Minimum false entries Large profit potential Cons: Rare signals (2-5 per month) Requires patience Strategy 4: "Adaptive Scalper" Idea: Use only Delta Adaptive EMA for quick volatility reaction Settings: Fast: Delta Adaptive (Base 10, Sensitivity 3.0) Mid: None Slow: Delta Adaptive (Base 30, Sensitivity 2.0) Base Multiplier: 3 Timeframe: M1, M5 Feature: Two different Delta EMAs with different settings Entry rules: Golden Cross between two Delta EMAs Both Delta EMAs must be rising/falling Enter on next bar Stop: 10-15 pips or below Slow Delta EMA Take Profit: +1R to +2R Or Death Cross For whom: Scalpers on cryptocurrencies and forex Pros: Instant volatility adaptation Many signals on volatile markets Quick results Cons: Much noise on calm markets Requires fast execution High commissions may eat profits Strategy 5: "Cyclical Trader" Idea: Use Pi and Lambda for trading cyclical markets Settings: Fast: Pi Circular (1Pi) Mid: Lambda Wave (Base 30, Amplitude 0.5, Frequency 50) Slow: Pi Circular (3Pi) Base Multiplier: 10 Timeframe: H1, H4 Entry rules: STRONG signal active Lambda Wave EMA synchronized with trend Enter on bounce from Lambda Wave For whom: Traders of cyclical assets (some altcoins, commodities) Pros: Catches cyclical movements Lambda Wave provides additional entry points Cons: More complex to configure Not for all markets Lambda Wave may give false signals Strategy 6: "Multi-Timeframe Confirmation" Idea: Use multiple timeframes for confirmation Scheme: Higher TF (D1): Determine trend direction (STRONG signal) Middle TF (H4): Wait for STRONG signal in same direction Lower TF (M15): Look for entry point (Golden Cross or bounce from Fast EMA) Settings for all TFs: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base Multiplier: 10 Rules: All 3 TFs must show one trend Entry on lower TF Stop by lower TF Target by higher TF For whom: Serious traders and investors Pros: Maximum reliability Large profit targets Minimum false signals Cons: Rare setups Requires analysis of multiple charts Experience needed Practical Tips DOs Use STRONG signals as primary - they're most reliable Let signals develop - don't exit on first pullback Use trailing stop - follow Fast EMA Combine with levels - S/R, Fibonacci, volumes Test on demo before real Adjust Base Multiplier for your timeframe Enable visual effects - they help see the picture Use Info Table - quick situation assessment Watch Pulsing Bar - instant state indicator Trust auto-sorting of Fast/Mid/Slow DON'Ts Don't trade against STRONG signal - trend is your friend Don't ignore Mid EMA - it adds reliability Don't use too small Base Multiplier on higher TFs Don't enter on Golden Cross in range - check for trend Don't change settings during open position Don't forget risk management - 1-2% per trade Don't trade all signals in row - choose best ones Don't use indicator in isolation - combine with Price Action Don't set too tight stops - let trade breathe Don't over-optimize - simplicity = reliability Optimal Settings by Asset US Stocks (SPY, AAPL, TSLA) Recommendation: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base: 10-15 Timeframe: H4, D1 Features: Use on daily for swing STRONG signals very reliable Works well on trending stocks Forex (EUR/USD, GBP/USD) Recommendation: Fast: Delta Adaptive (Base 15, Sens 2.0) Mid: Phi Golden (Phi²) Slow: Pi Circular (2Pi) Base: 8-12 Timeframe: M15, H1, H4 Features: Delta Adaptive works excellently on news Many signals on M15-H1 Consider spreads Cryptocurrencies (BTC, ETH, altcoins) Recommendation: Fast: Delta Adaptive (Base 10, Sens 3.0) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base: 5-10 Timeframe: M5, M15, H1 Features: High volatility - adaptation needed STRONG signals can last days Be careful with scalping on M1-M5 Commodities (Gold, Oil) Recommendation: Fast: Pi Circular (1Pi) Mid: Phi Golden (Phi³) Slow: Pi Circular (3Pi) Base: 12-18 Timeframe: H4, D1 Features: Pi works excellently on cyclical commodities Gold responds especially well to Phi Oil volatile - use wide stops Indices (S&P500, Nasdaq, DAX) Recommendation: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base: 15-20 Timeframe: H4, D1, W1 Features: Very trending instruments STRONG signals last weeks Good for position trading Alerts The indicator supports 6 alert types: 1. Golden Cross Message: "Hellenic Matrix: GOLDEN CROSS - Fast EMA crossed above Slow EMA - Bullish trend starting!" When: Fast EMA crosses Slow EMA from below 2. Death Cross Message: "Hellenic Matrix: DEATH CROSS - Fast EMA crossed below Slow EMA - Bearish trend starting!" When: Fast EMA crosses Slow EMA from above 3. STRONG BULLISH Message: "Hellenic Matrix: STRONG BULLISH SIGNAL - All EMAs aligned for powerful uptrend!" When: All conditions for STRONG BUY met (first bar) 4. STRONG BEARISH Message: "Hellenic Matrix: STRONG BEARISH SIGNAL - All EMAs aligned for powerful downtrend!" When: All conditions for STRONG SELL met (first bar) 5. Bullish Ribbon Message: "Hellenic Matrix: BULLISH RIBBON - EMAs aligned for uptrend" When: EMAs aligned bullish + price above Fast EMA (less strict condition) 6. Bearish Ribbon Message: "Hellenic Matrix: BEARISH RIBBON - EMAs aligned for downtrend" When: EMAs aligned bearish + price below Fast EMA (less strict condition) How to Set Up Alerts: Open indicator on chart Click on three dots next to indicator name Select "Create Alert" In "Condition" field select needed alert: Golden Cross Death Cross STRONG BULLISH STRONG BEARISH Bullish Ribbon Bearish Ribbon Configure notification method: Pop-up in browser Email SMS (in Premium accounts) Push notifications in mobile app Webhook (for automation) Select frequency: Once Per Bar Close (recommended) - once on bar close Once Per Bar - during bar formation Only Once - only first time Click "Create" Tip: Create separate alerts for different timeframes and instruments FAQ 1. Why don't STRONG signals appear? Possible reasons: Incorrect Fast/Mid/Slow order Solution: Indicator automatically sorts EMAs by periods, but ensure selected EMAs have different periods Base Multiplier too large Solution: Reduce Base to 5-10 on lower timeframes Market in range Solution: STRONG signals appear only in trends - this is normal Too strict EMA settings Solution: Try classic combination: Phi³ / Pi×2 / e² with Base=10 Mid EMA too close to Fast or Slow Solution: Select Mid EMA with period between Fast and Slow 2. How often should STRONG signals appear? Normal frequency: M1-M5: 5-15 signals per day (very active markets) M15-H1: 2-8 signals per day H4: 3-10 signals per week D1: 2-5 signals per month W1: 2-6 signals per year If too many signals - market very volatile or Base too small If too few signals - market in range or Base too large 4. What are the best settings for beginners? Universal "out of the box" settings: Matrix Core: Base Multiplier: 10 Source: close Phi Golden: Enabled, Power = 3 Pi Circular: Enabled, Multiple = 2 e Natural: Enabled, Power = 2 Delta Adaptive: Enabled, Base = 20, Sensitivity = 2.0 Manual Selection: Fast: Phi Golden Mid: e Natural Slow: Pi Circular Visualization: Gradient Clouds: ON Neon Glow: ON (Medium) Pulsing Bar: ON (Medium) Signal Highlights: ON (Light Fill) Table: ON (Top Right, Small) Signals: Golden/Death Cross: ON STRONG Signals: ON Stop Loss: OFF (while learning) Timeframe for learning: H1 or H4 5. Can I use only one EMA? No, minimum 2 EMAs (Fast and Slow) for signal generation. Mid EMA is optional: With Mid EMA = more reliable but rarer signals Without Mid EMA = more signals but less strict filtering Recommendation: Start with 3 EMAs (Fast/Mid/Slow), then experiment 6. Does the indicator work on cryptocurrencies? Yes, works excellently! Especially good on: Bitcoin (BTC) Ethereum (ETH) Major altcoins (SOL, BNB, XRP) Recommended settings for crypto: Fast: Delta Adaptive (Base 10-15, Sensitivity 2.5-3.0) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base: 5-10 Timeframe: M15, H1, H4 Crypto market features: High volatility → use Delta Adaptive 24/7 trading → set alerts Sharp movements → wide stops 7. Can I trade only with this indicator? Technically yes, but NOT recommended. Best approach - combine with: Price Action - support/resistance levels, candle patterns Volume - movement strength confirmation Fibonacci - retracement and extension levels RSI/MACD - divergences and overbought/oversold Fundamental analysis - news, company reports Hellenic Matrix: Excellently determines trend and its strength Provides clear entry/exit points Doesn't consider fundamentals Doesn't see major levels 8. Why do Gradient Clouds change color? Color depends on EMA order: Phi-Pi Cloud: Blue - Pi EMA above Phi EMA (bullish alignment) Gold - Phi EMA above Pi EMA (bearish alignment) Pi-e Cloud: Green - e EMA above Pi EMA (bullish alignment) Blue - Pi EMA above e EMA (bearish alignment) Color change = EMA order change = possible trend change 9. What is Momentum % in the table? Momentum % = percentage deviation of price from Fast EMA Formula: Momentum = ((Close - Fast EMA) / Fast EMA) × 100 Interpretation: +0.5% to +2% - normal bullish momentum +2% to +5% - strong bullish momentum +5% and above - overheating (correction possible) -0.5% to -2% - normal bearish momentum -2% to -5% - strong bearish momentum -5% and below - oversold (bounce possible) Usage: Monitor momentum during STRONG signals Large momentum = don't enter (wait for pullback) Small momentum = good entry point 10. How to configure for scalping? Settings for scalping (M1-M5): Base Multiplier: 3-5 Source: close or hlc3 (smoother) Fast: Delta Adaptive (Base 8-12, Sensitivity 3.0) Mid: None (for more signals) Slow: Phi Golden (Phi²) or Pi Circular (1Pi) Visualization: - Gradient Clouds: ON (helps see strength) - Neon Glow: OFF (doesn't clutter chart) - Pulsing Bar: ON (quick assessment) - Signal Highlights: ON Signals: - Golden/Death Cross: ON - STRONG Signals: ON - Stop Loss: ON (1.0-1.5 ATR, R:R 1.5-2.0) Scalping rules: Trade only STRONG signals Enter on bounce from Fast EMA Tight stops (10-20 pips) Quick take profit (+1R to +2R) Don't hold through news 11. How to configure for long-term investing? Settings for investing (D1-W1): Base Multiplier: 20-30 Source: close Fast: Phi Golden (Phi³ or Phi⁴) Mid: e Natural (e²) Slow: Pi Circular (3Pi or 4Pi) Visualization: - Gradient Clouds: ON - Neon Glow: ON (Medium) - Everything else - to taste Signals: - Golden/Death Cross: ON - STRONG Signals: ON - Stop Loss: OFF (use percentage stop) Investing rules: Enter only on STRONG signals Hold while STRONG active (weeks/months) Stop below Slow EMA or -10% Take profit: by company targets or +50-100% Ignore short-term pullbacks 12. What if indicator slows down chart? Indicator is optimized, but if it slows: Disable unnecessary visual effects: Neon Glow: OFF (saves 8 plots) Gradient Clouds: ON but low quality Lambda Wave EMA: OFF (if not using) Reduce number of active EMAs: Sigma Composite: OFF Lambda Wave: OFF Leave only Phi, Pi, e, Delta Simplify settings: Pulsing Bar: OFF Greek Labels: OFF Info Table: smaller size 13. Can I use on different timeframes simultaneously? Yes! Multi-timeframe analysis is very powerful: Classic scheme: Higher TF (D1, W1) - determine global trend Wait for STRONG signal This is our trading direction Middle TF (H4, H1) - look for confirmation STRONG signal in same direction Precise entry zone Lower TF (M15, M5) - entry point Golden Cross or bounce from Fast EMA Precise stop loss Example: W1: STRONG BUY active (global uptrend) H4: STRONG BUY appeared (confirmation) M15: Wait for Golden Cross or bounce from Fast EMA → ENTRY Advantages: Maximum reliability Clear timeframe hierarchy Large targets 14. How does indicator work on news? Delta Adaptive EMA adapts excellently to news: Before news: Low volatility → Delta EMA becomes fast → pulls to price During news: Sharp volatility spike → Delta EMA slows → filters noise After news: Volatility normalizes → Delta EMA returns to normal Recommendations: Don't trade at news release moment (spreads widen) Wait for STRONG signal after news (2-5 bars) Use Delta Adaptive as Fast EMA for quick reaction Widen stops by 50-100% during important news Advanced Techniques Technique 1: "Divergences with EMA" Idea: Look for discrepancies between price and Fast EMA Bullish divergence: Price makes lower low Fast EMA makes higher low = Possible reversal up Bearish divergence: Price makes higher high Fast EMA makes lower high = Possible reversal down How to trade: Find divergence Wait for STRONG signal in divergence direction Enter on confirmation Technique 2: "EMA Tunnel" Idea: Use space between Fast and Slow EMA as "tunnel" Rules: Wide tunnel - strong trend, hold position Narrow tunnel - weak trend or consolidation, caution Tunnel narrowing - trend weakening, prepare to exit Tunnel widening - trend strengthening, can add Visually: Gradient Clouds show this automatically! Trading: Enter on STRONG signal (tunnel starts widening) Hold while tunnel wide Exit when tunnel starts narrowing Technique 3: "Wave Analysis with Lambda" Idea: Lambda Wave EMA creates sinusoid matching market cycles Setup: Lambda Base Period: 30 Lambda Wave Amplitude: 0.5 Lambda Wave Frequency: 50 (adjusted to asset cycle) How to find correct Frequency: Look at historical cycles (distance between local highs) Average distance = your Frequency Example: if highs every 40-60 bars, set Frequency = 50 Trading: Enter when Lambda Wave at bottom of sinusoid (growth potential) Exit when Lambda Wave at top (fall potential) Combine with STRONG signals Technique 4: "Cluster Analysis" Idea: When all EMAs gather in narrow cluster = powerful breakout soon Cluster signs: All EMAs (Phi, Pi, e, Delta) within 0.5-1% of each other Gradient Clouds almost invisible Price jumping around all EMAs Trading: Identify cluster (all EMAs close) Determine breakout direction (where more volume, higher TFs direction) Wait for breakout and STRONG signal Enter on confirmation Target = cluster size × 3-5 This is very powerful technique for big moves! Technique 5: "Sigma as Dynamic Level" Idea: Sigma Composite EMA = average of all EMAs = magnetic level Usage: Enable Sigma Composite (Weighted Average) Sigma works as dynamic support/resistance Price often returns to Sigma before trend continuation Trading: In trend: Enter on bounces from Sigma In range: Fade moves from Sigma (trade return to Sigma) On breakout: Sigma becomes support/resistance Risk Management Basic Rules 1. Position Size Conservative: 1% of capital per trade Moderate: 2% of capital per trade (recommended) Aggressive: 3-5% (only for experienced) Calculation formula: Lot Size = (Capital × Risk%) / (Stop in pips × Pip value) 2. Risk/Reward Ratio Minimum: 1:1.5 Standard: 1:2 (recommended) Optimal: 1:3 Aggressive: 1:5+ 3. Maximum Drawdown Daily: -3% to -5% Weekly: -7% to -10% Monthly: -15% to -20% Upon reaching limit → STOP trading until end of period Position Management Strategies 1. Fixed Stop Method: Stop below/above Fast EMA or local extreme DON'T move stop against position Can move to breakeven For whom: Beginners, conservative traders 2. Trailing by Fast EMA Method: Each day (or bar) move stop to Fast EMA level Position closes when price breaks Fast EMA Advantages: Stay in trend as long as possible Automatically exit on reversal For whom: Trend followers, swing traders 3. Partial Exit Method: 50% of position close at +2R 50% hold with trailing by Mid EMA or Slow EMA Advantages: Lock profit Leave position for big move Psychologically comfortable For whom: Universal method (recommended) 4. Pyramiding Method: First entry on STRONG signal (50% of planned position) Add 25% on pullback to Fast EMA Add another 25% on pullback to Mid EMA Overall stop below Slow EMA Advantages: Average entry price Reduce risk Increase profit in strong trends Caution: Works only in trends In range leads to losses For whom: Experienced traders Trading Psychology Correct Mindset 1. Indicator is a tool, not holy grail Indicator shows probability, not guarantee There will be losing trades - this is normal Important is series statistics, not one trade 2. Trust the system If STRONG signal appeared - enter Don't search for "perfect" moment Follow trading plan 3. Patience STRONG signals don't appear every day Better miss signal than enter against trend Quality over quantity 4. Discipline Always set stop loss Don't move stop against position Don't increase risk after losses Beginner Mistakes 1. "I know better than indicator" Indicator says STRONG BUY, but you think "too high, will wait for pullback" Result: miss profitable move Solution: Trust signals or don't use indicator 2. "Will reverse now for sure" Trading against STRONG trend Result: stops, stops, stops Solution: Trend is your friend, trade with trend 3. "Will hold a bit more" Don't exit when STRONG signal disappears Greed eats profit Solution: If signal gone - exit! 4. "I'll recover" After losses double risk Result: huge losses Solution: Fixed % risk ALWAYS 5. "I don't like this signal" Skip signals because of "feeling" Result: inconsistency, no statistics Solution: Trade ALL signals or clearly define filters Trading Journal What to Record For each trade: 1. Entry/exit date and time 2. Instrument and timeframe 3. Signal type Golden Cross STRONG BUY STRONG SELL Death Cross 4. Indicator settings Fast/Mid/Slow EMA Base Multiplier Other parameters 5. Chart screenshot Entry moment Exit moment 6. Trade parameters Position size Stop loss Take Profit R:R 7. Result Profit/Loss in $ Profit/Loss in % Profit/Loss in R 8. Notes What was right What was wrong Emotions during trade Lessons Journal Analysis Analyze weekly: 1. Win Rate Win Rate = (Profitable trades / All trades) × 100% Good: 50-60% Excellent: 60-70% Exceptional: 70%+ 2. Average R Average R = Sum of all R / Number of trades Good: +0.5R Excellent: +1.0R Exceptional: +1.5R+ 3. Profit Factor Profit Factor = Total profit / Total losses Good: 1.5+ Excellent: 2.0+ Exceptional: 3.0+ 4. Maximum Drawdown Track consecutive losses If more than 5 in row - stop, check system 5. Best/Worst Trades What was common in best trades? (do more) What was common in worst trades? (avoid) Pre-Trade Checklist Technical Analysis STRONG signal active (BUY or SELL) All EMAs properly aligned (Fast > Mid > Slow or reverse) Price on correct side of Fast EMA Gradient Clouds confirm trend Pulsing Bar shows STRONG state Momentum % in normal range (not overheated) No close strong levels against direction Higher timeframe doesn't contradict Risk Management Position size calculated (1-2% risk) Stop loss set Take profit calculated (minimum 1:2) R:R satisfactory Daily/weekly risk limit not exceeded No other open correlated positions Fundamental Analysis No important news in coming hours Market session appropriate (liquidity) No contradicting fundamentals Understand why asset is moving Psychology Calm and thinking clearly No emotions from previous trades Ready to accept loss at stop Following trading plan Not revenging market for past losses If at least one point is NO - think twice before entering! Learning Roadmap Week 1: Familiarization Goals: Install and configure indicator Study all EMA types Understand visualization Tasks: Add indicator to chart Test all Fast/Mid/Slow settings Play with Base Multiplier on different timeframes Observe Gradient Clouds and Pulsing Bar Study Info Table Result: Comfort with indicator interface Week 2: Signals Goals: Learn to recognize all signal types Understand difference between Golden Cross and STRONG Tasks: Find 10 Golden Cross examples in history Find 10 STRONG BUY examples in history Compare their results (which worked better) Set up alerts Get 5 real alerts Result: Understanding signals Week 3: Demo Trading Goals: Start trading signals on demo account Gather statistics Tasks: Open demo account Trade ONLY STRONG signals Keep journal (minimum 20 trades) Don't change indicator settings Strictly follow stop losses Result: 20+ documented trades Week 4: Analysis Goals: Analyze demo trading results Optimize approach Tasks: Calculate win rate and average R Find patterns in profitable trades Find patterns in losing trades Adjust approach (not indicator!) Write trading plan Result: Trading plan on 1 page Month 2: Improvement Goals: Deepen understanding Add additional techniques Tasks: Study multi-timeframe analysis Test combinations with Price Action Try advanced techniques (divergences, tunnels) Continue demo trading (minimum 50 trades) Achieve stable profitability on demo Result: Win rate 55%+ and Profit Factor 1.5+ Month 3: Real Trading Goals: Transition to real account Maintain discipline Tasks: Open small real account Trade minimum lots Strictly follow trading plan DON'T increase risk Focus on process, not profit Result: Psychological comfort on real Month 4+: Scaling Goals: Increase account Become consistently profitable Tasks: With 60%+ win rate can increase risk to 2% Upon doubling account can add capital Continue keeping journal Periodically review and improve strategy Share experience with community Result: Stable profitability month after month Additional Resources Recommended Reading Technical Analysis: "Technical Analysis of Financial Markets" - John Murphy "Trading in the Zone" - Mark Douglas (psychology) "Market Wizards" - Jack Schwager (trader interviews) EMA and Moving Averages: "Moving Averages 101" - Steve Burns Articles on Investopedia about EMA Risk Management: "The Mathematics of Money Management" - Ralph Vince "Trade Your Way to Financial Freedom" - Van K. Tharp Trading Journals: Edgewonk (paid, very powerful) Tradervue (free version + premium) Excel/Google Sheets (free) Screeners: TradingView Stock Screener Finviz (stocks) CoinMarketCap (crypto) Conclusion Hellenic EMA Matrix is a powerful tool based on universal mathematical constants of nature. The indicator combines: Mathematical elegance - Phi, Pi, e instead of arbitrary numbers Premium visualization - Neon Glow, Gradient Clouds, Pulsing Bar Reliable signals - STRONG BUY/SELL work on all timeframes Flexibility - 6 EMA types, adaptation to any trading style Automation - auto-sorting EMAs, SL/TP calculation, alerts Key Success Principles: Simplicity - start with basic settings (Phi/Pi/e, Base=10) Discipline - follow STRONG signals strictly Patience - wait for quality setups Risk Management - 1-2% per trade, ALWAYS Journal - document every trade Learning - constantly improve skills Remember: Indicator shows probability, not guarantee Important is series statistics, not one trade Psychology more important than technique Quality more important than quantity Process more important than result Acknowledgments Thank you for using Hellenic EMA Matrix - Alpha Omega Premium! The indicator was created with love for mathematics, markets, and beautiful visualization. Wishing you profitable trading! Guide Version: 1.0 Date: 2025 Compatibility: Pine Script v6, TradingView "In the simplicity of mathematical constants lies the complexity of market movements"
Indicatore Pine Script®
di Sesilya
Pinbar MTF - No Repaint# Pinbar MTF - No Repaint Indicator ## Complete Technical Documentation --- ## 📊 Overview **Pinbar MTF (Multi-Timeframe) - No Repaint** is a professional-grade TradingView Pine Script indicator designed to detect high-probability pinbar reversal patterns with advanced filtering systems. The indicator is specifically engineered to be **100% non-repainting**, making it reliable for both live trading and backtesting. ### Key Features ✅ **Non-Repainting** - Signals only appear AFTER bar closes, never disappear ✅ **Three-Layer Filter System** - ATR, SWING, and RSI filters ✅ **Automatic SL/TP Calculation** - Based on risk:reward ratios ✅ **Real-time Alerts** - TradingView notifications for all signals ✅ **Visual Trade Management** - Lines, labels, and areas for entries, stops, and targets ✅ **Backtesting Ready** - Reliable historical data for strategy testing --- ## 🎯 What is a Pinbar? A **Pinbar (Pin Bar/Pinocchio Bar)** is a single candlestick pattern that indicates a potential price reversal: ### Bullish Pinbar (BUY Signal) - **Long lower wick** (rejection of lower prices) - **Small body at the top** of the candle - Shows buyers rejected sellers' attempt to push price down - Forms at support levels or swing lows - Entry signal for LONG positions ### Bearish Pinbar (SELL Signal) - **Long upper wick** (rejection of higher prices) - **Small body at the bottom** of the candle - Shows sellers rejected buyers' attempt to push price up - Forms at resistance levels or swing highs - Entry signal for SHORT positions --- ## 🔧 How the Indicator Works ### 1. **Pinbar Detection Logic** The indicator analyzes the **previous closed bar ** to identify pinbar patterns: ``` Bullish Pinbar Requirements: - Lower wick > 72% of total candle range (adjustable) - Upper wick < 28% of total candle range - Close > Open (bullish candle body) Bearish Pinbar Requirements: - Upper wick > 72% of total candle range (adjustable) - Lower wick < 28% of total candle range - Close < Open (bearish candle body) ``` **Why check ?** By analyzing the previous completed bar, we ensure the pattern is fully formed and won't change, preventing repainting. --- ### 2. **Three-Layer Filter System** #### 🔍 **Filter #1: ATR (Average True Range) Filter** - **Purpose**: Ensures the pinbar has significant size - **Function**: Only signals if pinbar range ≥ ATR value - **Benefit**: Filters out small, insignificant pinbars - **Settings**: - Enable/Disable toggle - ATR Period (default: 7) **Example**: If ATR = 50 pips, only pinbars with 50+ pip range will signal. --- #### 🔍 **Filter #2: SWING Filter** (Always Active) - **Purpose**: Confirms pinbar forms at swing highs/lows - **Function**: Validates the pinbar is an absolute high/low - **Benefit**: Identifies true reversal points - **Settings**: - Swing Candles (default: 3) **How it works**: - For bullish pinbar: Checks if low is lowest of past 3 bars - For bearish pinbar: Checks if high is highest of past 3 bars **Example**: With 3 swing candles, a bullish pinbar must have the lowest low among the last 3 bars. --- #### 🔍 **Filter #3: RSI (Relative Strength Index) Filter** - **Purpose**: Confirms momentum conditions - **Function**: Prevents signals in extreme momentum zones - **Benefit**: Avoids counter-trend trades - **Settings**: - Enable/Disable toggle - RSI Period (default: 7) - RSI Source (Close, Open, High, Low, HL2, HLC3, OHLC4) - Overbought Level (default: 70) - Oversold Level (default: 30) **Logic**: - Bullish Pinbar: Only signals if RSI < 70 (not overbought) - Bearish Pinbar: Only signals if RSI > 30 (not oversold) --- ### 3. **Stop Loss Calculation** Two methods available: #### Method A: ATR-Based Stop Loss (Recommended) ``` Bullish Pinbar: SL = Pinbar Low - (1 × ATR) Bearish Pinbar: SL = Pinbar High + (1 × ATR) ``` **Benefit**: Dynamic stops that adapt to market volatility #### Method B: Fixed Pips Stop Loss ``` Bullish Pinbar: SL = Pinbar Low - (Fixed Pips) Bearish Pinbar: SL = Pinbar High + (Fixed Pips) ``` **Settings**: - Calculate Stop with ATR (toggle) - Stop Pips without ATR (default: 5) --- ### 4. **Take Profit Calculation** Take Profit is calculated based on Risk:Reward ratio: ``` Bullish Trade: TP = Entry + (Entry - SL) × Risk:Reward Ratio Bearish Trade: TP = Entry - (SL - Entry) × Risk:Reward Ratio ``` **Example**: - Entry: 1.2000 - SL: 1.1950 (50 pip risk) - RR: 2:1 - TP: 1.2100 (100 pip reward = 50 × 2) **Settings**: - Risk:Reward Ratio (default: 1.0, range: 0.1 to 10.0) --- ## 📈 Visual Elements ### On-Chart Displays 1. **Signal Markers** - 🟢 **Green Triangle Up** = Bullish Pinbar (BUY) - 🔴 **Red Triangle Down** = Bearish Pinbar (SELL) - Placed directly on the pinbar candle 2. **Entry Labels** - Green "BUY" label with entry price - Red "SELL" label with entry price - Shows exact entry level 3. **Stop Loss Lines** - 🔴 Red horizontal line - "SL" label - Extends 20 bars forward 4. **Take Profit Lines** - 🟢 Green horizontal line - "TP" label - Extends 20 bars forward 5. **Risk/Reward Areas** (Optional) - Red shaded box = Risk zone (Entry to SL) - Green shaded box = Reward zone (Entry to TP) - Visual risk:reward visualization 6. **Info Table** (Top Right) - Displays current settings - Shows filter status (ON/OFF) - Real-time RSI value - Quick reference panel --- ## 🔔 Alert System Three alert types available: ### 1. Combined Alert: "Pinbar Signal (Any Direction)" - Fires for BOTH bullish and bearish pinbars - **Best for**: General monitoring - **Message**: "Pinbar Signal Detected on {TICKER} at {PRICE}" ### 2. Bullish Alert: "Bullish Pinbar Alert" - Fires ONLY for BUY signals - **Best for**: Long-only strategies - **Message**: "BUY Signal on {TICKER} at {PRICE}" ### 3. Bearish Alert: "Bearish Pinbar Alert" - Fires ONLY for SELL signals - **Best for**: Short-only strategies - **Message**: "SELL Signal on {TICKER} at {PRICE}" --- ## ⚙️ Input Parameters Reference ### **Filters Group** | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | ATR Filter on Pinbar Range? | ✅ ON | Boolean | Enable/disable ATR filter | | ATR Period | 7 | 1+ | Lookback period for ATR calculation | | Swing Candles | 3 | 1+ | Bars to check for swing high/low | | RSI Filter on Pinbar? | ❌ OFF | Boolean | Enable/disable RSI filter | | RSI Period | 7 | 2+ | Lookback period for RSI calculation | | RSI Source | Close | Multiple | Price data for RSI (Close/Open/High/Low/etc) | | RSI Overbought Level | 70 | 50-100 | Upper threshold for RSI filter | | RSI Oversold Level | 30 | 0-50 | Lower threshold for RSI filter | ### **Pinbar Detection Group** | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Shadow % vs Body | 72 | 50-95 | Minimum wick size as % of total range | ### **Visualization Group** | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Show SL and TP Lines? | ✅ ON | Boolean | Display stop loss and take profit lines | | Show SL and TP Area? | ❌ OFF | Boolean | Show shaded risk/reward boxes | ### **Risk Management Group** | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Risk:Reward Ratio | 1.0 | 0.1-10.0 | Target profit vs risk (1.0 = 1:1, 2.0 = 1:2) | | Calculate Stop with ATR? | ✅ ON | Boolean | Use ATR for stop calculation | | Stop Pips without ATR | 5 | 1+ | Fixed pip stop when ATR disabled | --- ## 🚫 Non-Repainting Architecture ### What is Repainting? **Repainting** occurs when an indicator's historical signals differ from what appeared in real-time. This makes backtesting unreliable and can lead to false confidence in a strategy. ### How This Indicator Prevents Repainting 1. **Closed Bar Analysis** - All calculations use ` ` offset (previous bar) - Only analyzes COMPLETED candles - Signals appear on the bar AFTER the pinbar closes 2. **Confirmed Swing Points** - Waits for sufficient bar history before signaling - Only checks historical bars that cannot change - Prevents premature swing detection 3. **Static Alert Timing** - Alerts fire only after bar completion - No conditional logic that changes historically - Same results in replay mode and live trading ### Verification Method To verify non-repainting behavior: 1. Apply indicator to chart 2. Note signal locations and prices 3. Refresh browser / reload chart 4. **Signals remain in exact same locations** --- ## 💼 Trading Strategy Guidelines ### Entry Rules **For Bullish Pinbar (LONG):** 1. Wait for green triangle to appear 2. Enter at close of pinbar (shown in label) 3. Alternative: Enter on break of pinbar high 4. Place stop loss at red SL line 5. Set target at green TP line **For Bearish Pinbar (SHORT):** 1. Wait for red triangle to appear 2. Enter at close of pinbar (shown in label) 3. Alternative: Enter on break of pinbar low 4. Place stop loss at red SL line 5. Set target at green TP line ### Risk Management - **Position Sizing**: Risk only 1-2% of account per trade - **Stop Loss**: Always use the calculated SL (never move it wider) - **Take Profit**: Use calculated TP or trail stop after 1:1 RR - **Multiple Timeframes**: Confirm signals on higher timeframe ### Best Practices ✅ **DO:** - Wait for bar to close before entering - Trade in direction of higher timeframe trend - Use on liquid markets with clear support/resistance - Combine with price action analysis - Keep a trading journal ❌ **DON'T:** - Enter before bar closes (prevents seeing full pattern) - Trade against strong trends - Ignore the filters (they improve win rate) - Risk more than 2% per trade - Trade every signal (be selective) --- ## 📊 Backtesting & Data Export ### Available Data Points The indicator exports these values for strategy development: | Output | Description | |--------|-------------| | Bullish Signal | 1 = BUY signal, 0 = No signal | | Bearish Signal | 1 = SELL signal, 0 = No signal | | Bull SL | Stop loss level for long trades | | Bull TP | Take profit level for long trades | | Bull Entry | Entry price for long trades | | Bear SL | Stop loss level for short trades | | Bear TP | Take profit level for short trades | | Bear Entry | Entry price for short trades | ### How to Use in Strategy These values can be accessed by Pine Script strategies using: ```pine indicator_values = request.security(syminfo.tickerid, timeframe.period, ) ``` --- ## 🎓 Understanding the Filters ### Why Use Multiple Filters? Single-indicator systems often generate too many false signals. This indicator uses a **confluence approach**: 1. **Pinbar Pattern** = Price rejection detected 2. **+ SWING Filter** = Rejection at key level 3. **+ ATR Filter** = Significant move 4. **+ RSI Filter** = Favorable momentum **Result**: Higher probability setups with better risk:reward ### Filter Optimization **Conservative Settings** (Fewer, Higher Quality Signals): - ATR Filter: ON - Swing Candles: 5 - RSI Filter: ON - Shadow %: 75% **Aggressive Settings** (More Signals, More Noise): - ATR Filter: OFF - Swing Candles: 2 - RSI Filter: OFF - Shadow %: 65% **Balanced Settings** (Recommended): - ATR Filter: ON - Swing Candles: 3 - RSI Filter: OFF (or ON for trending markets) - Shadow %: 72% --- ## 🔍 Troubleshooting ### "No Signals Appearing" **Possible Causes:** 1. Filters are too strict 2. No pinbars forming on chart 3. Insufficient bar history **Solutions:** - Reduce Shadow % to 65% - Reduce Swing Candles to 2 - Disable ATR or RSI filters temporarily - Check that chart has enough data loaded ### "Too Many Signals" **Solutions:** - Enable ATR filter - Increase Swing Candles to 4-5 - Enable RSI filter - Increase Shadow % to 75-80% ### "Signals Appearing Late" **This is normal behavior!** The indicator: - Analyzes previous closed bar - Signals appear on the bar AFTER the pinbar - This is what prevents repainting - Signal latency is 1 bar (by design) --- ## 📝 Technical Specifications **Indicator Type:** Overlay (displays on price chart) **Pine Script Version:** 5 **Max Labels:** 500 **Max Lines:** 500 **Repainting:** None (100% non-repainting) **Data Window Values:** 8 exported values **Alert Types:** 3 (Combined, Bullish, Bearish) **Performance:** - Lightweight script (fast execution) - Works on all timeframes - Compatible with all markets (Forex, Crypto, Stocks, Futures) - No data snooping bias --- ## 🎯 Use Cases ### 1. **Swing Trading** - Timeframe: Daily, 4H - Filter Settings: All enabled - Best for: Catching major reversals ### 2. **Day Trading** - Timeframe: 15m, 1H - Filter Settings: ATR + SWING only - Best for: Intraday reversals ### 3. **Scalping** - Timeframe: 5m, 15m - Filter Settings: SWING only (aggressive) - Best for: Quick reversals (requires experience) ### 4. **Position Trading** - Timeframe: Weekly, Daily - Filter Settings: All enabled + high RR (2:1 or 3:1) - Best for: Long-term trend reversal catches --- ## 🏆 Advantages Over Other Pinbar Indicators ✅ **Guaranteed Non-Repainting** - Many pinbar indicators repaint; this one never does ✅ **Automatic SL/TP** - No manual calculation needed ✅ **Multi-Layer Filtering** - Reduces false signals significantly ✅ **Visual Trade Management** - Clear entry, stop, and target levels ✅ **Flexible Configuration** - Adaptable to any trading style ✅ **Alert System** - Never miss a setup ✅ **Backtesting Ready** - Reliable historical data ✅ **Professional Grade** - Suitable for live trading --- ## 📚 Educational Resources ### Recommended Reading on Pinbars - "The Pin Bar Trading Strategy" by Nial Fuller - "Price Action Trading" by Al Brooks - TradingView Education: Price Action Patterns ### Practice Recommendations 1. Paper trade signals for 20+ trades before live trading 2. Backtest on different timeframes and markets 3. Keep detailed records of all trades 4. Analyze winning vs losing setups 5. Refine filter settings based on results --- ## ⚖️ Disclaimer This indicator is a tool for technical analysis and does not guarantee profits. Trading involves substantial risk of loss. Past performance is not indicative of future results. - Always use proper risk management - Never risk more than you can afford to lose - Consider your trading experience and objectives - Seek independent financial advice if needed --- ## 📧 Version Information **Current Version:** 1.0 **Last Updated:** 2024 **Compatibility:** TradingView Pine Script v5 **Status:** Production Ready --- ## 🔄 Future Enhancements (Potential) Possible future additions: - Multi-timeframe confirmation option - Volume filter integration - Customizable color schemes - Win rate statistics display - Partial profit taking levels - Trailing stop functionality --- ## 📖 Quick Start Guide ### 5-Minute Setup 1. **Add to Chart** - Open TradingView - Go to Pine Editor - Paste the code - Click "Add to Chart" 2. **Configure Settings** - Open indicator settings (gear icon) - Start with default settings - Enable "Show SL and TP Lines" 3. **Set Alert** - Right-click indicator name - Click "Add Alert" - Select "Pinbar Signal (Any Direction)" - Configure notification method 4. **Test** - Scroll back on chart - Verify signals make sense - Check that signals don't repaint 5. **Trade** (After Practice!) - Wait for alert - Verify signal quality - Enter, place SL/TP - Manage trade --- ## 🎯 Final Thoughts The **Pinbar MTF - No Repaint** indicator is designed for serious traders who value: - **Reliability** over flashy signals - **Quality** over quantity - **Honesty** over false promises This indicator will NOT: - Make you rich overnight - Win every trade - Replace proper trading education This indicator WILL: - Identify high-probability reversal setups - Save you analysis time - Provide consistent, non-repainting signals - Help you develop a systematic trading approach **Success in trading comes from:** 1. Proper education (60%) 2. Risk management (30%) 3. Technical tools like this indicator (10%) Use this tool as part of a complete trading plan, not as a standalone solution.
Indicatore Pine Script®
di Makshels
cd_correlation_analys_Cxcd_correlation_analys_Cx General: This indicator is designed for correlation analysis by classifying stocks (487 in total) and indices (14 in total) traded on Borsa İstanbul (BIST) on a sectoral basis. Tradingview's sector classifications (20) have been strictly adhered to for sector grouping. Depending on user preference, the analysis can be performed within sectors, between sectors, or manually (single asset). Let me express my gratitude to the code author, @fikira, beforehand; you will find the reason for my thanks in the context. Details: First, let's briefly mention how this indicator could have been prepared using the classic method before going into details. Classically, assets could be divided into groups of forty (40), and the analysis could be performed using the built-in function: ta.correlation(source1, source2, length) → series float. I chose sectoral classification because I believe there would be a higher probability of assets moving together, rather than using fixed-number classes. In this case, 21 arrays were formed with the following number of elements: (3, 11, 21, 60, 29, 20, 12, 3, 31, 5, 10, 11, 6, 48, 73, 62, 16, 19, 13, 34 and indices (14)). However, you might have noticed that some arrays have more than 40 elements. This is exactly where @Fikira's indicator came to the rescue. When I examined their excellent indicator, I saw that it could process 120 assets in a single operation. (I believe this was the first limit overrun; thanks again.) It was amazing to see that data for 3 pairs could be called in a single request using a special method. You can find the details here: When I adapted it for BIST, I found it sufficient to call data for 2 pairs instead of 3 in a single go. Since asset prices are regular and have 2 decimal places, I used a fixed multiplier of $10^8$ and a fixed decimal count of 2 in Fikira's formulas. With this method, the (high, low, open, close) values became accessible for each asset. The summary up to this point is that instead of the ready-made formula + groups of 40, I used variable-sized groups and the method I will detail now. Correlation/harmony/co-movement between assets provides advantages to market participants. Coherent assets are expected to rise or fall simultaneously. Therefore, to convert co-movement into a mathematical value, I defined the possible movements of the current candle relative to the previous candle bar over a certain period (user-defined). These are: Up := high > high and low > low Down := high < high and low < low Inside := high <= high and low >= low Outside := high >= high and low <= low and NOT Inside. Ignore := high = low = open = close If both assets performed the same movement, 1 was added to the tracking counter. If (Up-Up), (Down-Down), (Inside-Inside), or (Outside-Outside), then counter := counter + 1. If the period length is 100 and the counter is 75, it means there is 75% co-movement. Corr = counter / period ($75/100$) Average = ta.sma(Corr, 100) is obtained. The highest coefficients recorded in the array are presented to the user in a table. From the user menu options, the user can choose to compare: • With assets in its own sector • With assets in the selected sector • By activating the confirmation box and manually entering a single asset for comparison. Table display options can be adjusted from the Settings tab. In the attached examples: Results for AKBNK stock from the Finance sector compared with GARAN stock from the same sector: Timeframe: Daily, Period: 50 => Harmony 76% (They performed the same movement in 38 out of 50 bars) Comment: Opposite movements at swing high and low levels may indicate a change in the direction of the price flow (SMT). Looking at ASELS from the Electronic Technology sector over the last 30 daily candles, they performed the same movements by 40% with XU100, 73.3% (22/30) with XUTEK (Technology Index), and 86.9% according to the averages. Comment: It is more appropriate to follow ASELS stock with XUTEK (Technology index) instead of the general index (XU100). Opposite movements at swing high and low levels may indicate a change in the direction of the price flow (SMT). Again, when ASELS stock is taken on H1 instead of daily, and the length is 100 instead of 30, the harmony rate is seen to be 87%. Please share your thoughts and criticisms regarding the indicator, which I prepared with a bit of an educational purpose specifically for BIST. Happy trading.
Indicatore Pine Script®
di cdikici71
2
Forecast PriceTime Oracle [CHE] Forecast PriceTime Oracle — Prioritizes quality over quantity by using Power Pivots via RSI %B metric to forecast future pivot highs/lows in price and time Summary This indicator identifies potential pivot highs and lows based on out-of-bounds conditions in a modified RSI %B metric, then projects future occurrences by estimating time intervals and price changes from historical medians. It provides visual forecasts via diagonal and horizontal lines, tracks achievement with color changes and symbols, and displays a dashboard for statistical overview including hit rates. Signals are robust due to median-based aggregation, which reduces outlier influence, and optional tolerance settings for near-misses, making it suitable for anticipating reversals in ranging or trending markets. Motivation: Why this design? Standard pivot detection often lags or generates false signals in volatile conditions, missing the timing of true extrema. This design leverages out-of-bounds excursions in RSI %B to capture "Power Pivots" early—focusing on quality over quantity by prioritizing significant extrema rather than every minor swing—then uses historical deltas in time and price to forecast the next ones, addressing the need for proactive rather than reactive analysis. It assumes that pivot spacing follows statistical patterns, allowing users to prepare entries or exits ahead of confirmation. What’s different vs. standard approaches? - Reference baseline: Diverges from traditional ta.pivothigh/low, which require fixed left/right lengths and confirm only after bars close, often too late for dynamic markets. - Architecture differences: - Detects extrema during OOB runs rather than post-bar symmetry. - Aggregates deltas via medians (or alternatives) over a user-defined history, capping arrays to manage resources. - Applies tolerance thresholds for hit detection, with options for percentage, absolute, or volatility-adjusted (ATR) flexibility. - Freezes achieved forecasts with visual states to avoid clutter. - Practical effect: Charts show proactive dashed projections instead of retrospective dots; the dashboard reveals evolving hit rates, helping users gauge reliability over time without manual calculation. How it works (technical) The indicator first computes a smoothed RSI over a specified length, then applies Bollinger Bands to derive %B, flagging out-of-bounds below zero or above one hundred as potential run starts. During these runs, it tracks the extreme high or low price and bar index. Upon exit from the OOB state, it confirms the Power Pivot at that extreme and records the time delta (bars since prior) and price change percentage to rolling arrays. For forecasts, it calculates the median (or selected statistic) of recent deltas, subtracts the confirmation delay (bars from apex to exit), and projects ahead by that adjusted amount. Price targets use the median change applied to the origin pivot value. Lines are drawn from the apex to the target bar and price, with a short horizontal at the endpoint. Arrays store up to five active forecasts, pruning oldest on overflow. Tolerance adjusts hit checks: for highs, if the high reaches or exceeds the target (adjusted by tolerance); for lows, if the low drops to or below. Once hit, the forecast freezes, changing colors and symbols, and extends the horizontal to the hit bar. Persistent variables maintain last pivot states across bars; arrays initialize empty and grow until capped at history length. Parameter Guide Source: Specifies the data input for the RSI computation, influencing how price action is captured. Default is close. For conservative signals in noisy environments, switch to high; using low boosts responsiveness but may increase false positives. RSI Length: Sets the smoothing period for the RSI calculation, with longer values helping to filter out whipsaws. Default is 32. Opt for shorter lengths like 14 to 21 on faster timeframes for quicker reactions, or extend to 50 or more in strong trends to enhance stability at the cost of some lag. BB Length: Defines the period for the Bollinger Bands applied to %B, directly affecting how often out-of-bounds conditions are triggered. Default is 20. Align it with the RSI length: shorter periods detect more potential runs but risk added noise, while longer ones provide better filtering yet might overlook emerging extrema. BB StdDev: Controls the multiplier for the standard deviation in the bands, where wider settings reduce false out-of-bounds alerts. Default is 2.0. Narrow it to 1.5 for highly volatile assets to catch more signals, or broaden to 2.5 or higher to emphasize only major movements. Show Price Forecast: Enables or disables the display of diagonal and target lines along with their updates. Default is true. Turn it off for simpler chart views, or keep it on to aid in trade planning. History Length: Determines the number of recent pivot samples used for median-based statistics, where more history leads to smoother but potentially less current estimates. Default is 50. Start with a minimum of 5 to build data; limit to 100 to 200 to prevent outdated regimes from skewing results. Max Lookahead: Limits the number of bars projected forward to avoid overly extended lines. Default is 500. Reduce to 100 to 200 for intraday focus, or increase for longer swing horizons. Stat Method: Selects the aggregation technique for time and price deltas: Median for robustness against outliers, Trimmed Mean (20%) for a balanced trim of extremes, or 75th Percentile for a conservative upward tilt. Default is Median. Use Median for even distributions; switch to Percentile when emphasizing potential upside in trending conditions. Tolerance Type: Chooses the approach for flexible hit detection: None for exact matches, Percentage for relative adjustments, Absolute for fixed point offsets, or ATR for scaling with volatility. Default is None. Begin with Percentage at 0.5 percent for currency pairs, or ATR for adapting to cryptocurrency swings. Tolerance %: Provides the relative buffer when using Percentage mode, forgiving small deviations. Default is 0.5. Set between 0.2 and 1.0 percent; higher values accommodate gaps but can overstate hit counts. Tolerance Points: Establishes a fixed offset in price units for Absolute mode. Default is 0.0010. Tailor to the asset, such as 0.0001 for forex pairs, and validate against past wick behavior. ATR Length: Specifies the period for the Average True Range in dynamic tolerance calculations. Default is 14. This is the standard setting; shorten to 10 to reflect more recent volatility. ATR Multiplier: Adjusts the ATR scale for tolerance width in ATR mode. Default is 0.5. Range from 0.3 for tighter precision to 0.8 for greater leniency. Dashboard Location: Positions the summary table on the chart. Default is Bottom Right. Consider Top Left for better visibility on mobile devices. Dashboard Size: Controls the text scaling for dashboard readability. Default is Normal. Choose Tiny for dense overlays or Large for detailed review sessions. Text/Frame Color: Sets the color scheme for dashboard text and borders. Default is gray. Align with your chart theme, opting for lighter shades on dark backgrounds. Reading & Interpretation Forecast lines appear as dashed diagonals from confirmed pivots to projected targets, with solid horizontals at endpoints marking price levels. Open targets show a target symbol (🎯); achieved ones switch to a trophy symbol (🏆) in gray, with lines fading to gray. The dashboard summarizes median time/price deltas, sample counts, and hit rates—rising rates indicate improving forecast alignment. Colors differentiate highs (red) from lows (lime); frozen states signal validated projections. Practical Workflows & Combinations - Trend following: Enter long on low forecast hits during uptrends (higher highs/lower lows structure); filter with EMA crossovers to ignore counter-trend signals. - Reversal setups: Short above high projections in overextended rallies; use volume spikes as confirmation to reduce false breaks. - Exits/Stops: Trail stops to prior pivot lows; conservative on low hit rates (below 50%), aggressive above 70% with tight tolerance. - Multi-TF: Apply on 1H for entries, 4H for time projections; combine with Ichimoku clouds for confluence on targets. - Risk management: Position size inversely to delta uncertainty (wider history = smaller bets); avoid low-liquidity sessions. Behavior, Constraints & Performance Confirmation occurs on OOB exit, so live-bar pivots may adjust until close, but projections update only on events to minimize repaint. No security or HTF calls, so no external lookahead issues. Arrays cap at history length with shifts; forecasts limited to five active, pruning FIFO. Loops iterate over small fixed sizes (e.g., up to 50 for stats), efficient on most hardware. Max lines/labels at 500 prevent overflow. Known limits: Sensitive to OOB parameter tuning—too tight misses runs; assumes stationary pivot stats, which may shift in regime changes like low vol. Gaps or holidays distort time deltas. Sensible Defaults & Quick Tuning Defaults suit forex/crypto on 1H–4H: RSI 32/BB 20 for balanced detection, Median stats over 50 samples, None tolerance for exactness. - Too many false runs: Increase BB StdDev to 2.5 or RSI Length to 50 for filtering. - Lagging forecasts: Shorten History Length to 20; switch to 75th Percentile for forward bias. - Missed near-hits: Enable Percentage tolerance at 0.3% to capture wicks without overcounting. - Cluttered charts: Reduce Max Lookahead to 200; disable dashboard on lower TFs. What this indicator is—and isn’t This is a forecasting visualization layer for pivot-based analysis, highlighting statistical projections from historical patterns. It is not a standalone system—pair with price action, volume, and risk rules. Not predictive of all turns; focuses on OOB-derived extrema, ignoring volume or news impacts. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Indicatore Pine Script®
di chervolino
Luxy Momentum, Trend, Bias and Breakout Indicators V7 TABLE OF CONTENTS This is Version 7 (V7) - the latest and most optimized release. If you are using any older versions (V6, V5, V4, V3, etc.), it is highly recommended to replace them with V7. Why This Indicator is Different Who Should Use This Core Components Overview The UT Bot Trading System Understanding the Market Bias Table Candlestick Pattern Recognition Visual Tools and Features How to Use the Indicator Performance and Optimization FAQ --- ### CREDITS & ATTRIBUTION This indicator implements proven trading concepts using entirely original code developed specifically for this project. ### CONCEPTUAL FOUNDATIONS • UT Bot ATR Trailing System - Original concept by @QuantNomad: (search "UT-Bot-Strategy" - Our version is a complete reimplementation with significant enhancements: - Volume-weighted momentum adjustment - Composite stop loss from multiple S/R layers - Multi-filter confirmation system (swing, %, 2-bar, ZLSMA) - Full integration with multi-timeframe bias table - Visual audit trail with freeze-on-touch - NOTE: No code was copied - this is a complete reimplementation with enhancements. • Standard Technical Indicators (Public Domain Formulas): - Supertrend: ATR-based trend calculation with custom gradient fills - MACD: Gerald Appel's formula with separation filters - RSI: J. Welles Wilder's formula with pullback zone logic - ADX/DMI: Custom trend strength formula inspired by Wilder's directional movement concept, reimplemented with volume weighting and efficiency metrics - ZLSMA: Zero-lag formula enhanced with Hull MA and momentum prediction ### Custom Implementations - Trend Strength: Inspired by Wilder's ADX concept but using volume-weighted pressure calculation and efficiency metrics (not traditional +DI/-DI smoothing) - All code implementations are original ### ORIGINAL FEATURES (70%+ of codebase) - Multi-Timeframe Bias Table with live updates - Risk Management System (R-multiple TPs, freeze-on-touch) - Opening Range Breakout tracker with session management - Composite Stop Loss calculator using 6+ S/R layers - Performance optimization system (caching, conditional calcs) - VIX Fear Index integration - Previous Day High/Low auto-detection - Candlestick pattern recognition with interactive tooltips - Smart label and visual management - All UI/UX design and table architecture ### DEVELOPMENT PROCESS **AI Assistance:** This indicator was developed over 2+ months with AI assistance (ChatGPT/Claude) used for: - Writing Pine Script code based on design specifications - Optimizing performance and fixing bugs - Ensuring Pine Script v6 compliance - Generating documentation **Author's Role:** All trading concepts, system design, feature selection, integration logic, and strategic decisions are original work by the author. The AI was a coding tool, not the system designer. **Transparency:** We believe in full disclosure - this project demonstrates how AI can be used as a powerful development tool while maintaining creative and strategic ownership. --- 1. WHY THIS INDICATOR IS DIFFERENT Most traders use multiple separate indicators on their charts, leading to cluttered screens, conflicting signals, and analysis paralysis. The Suite solves this by integrating proven technical tools into a single, cohesive system. Key Advantages: All-in-One Design: Instead of loading 5-10 separate indicators, you get everything in one optimized script. This reduces chart clutter and improves TradingView performance. Multi-Timeframe Bias Table: Unlike standard indicators that only show the current timeframe, the Bias Table aggregates trend signals across multiple timeframes simultaneously. See at a glance whether 1m, 5m, 15m, 1h are aligned bullish or bearish - no more switching between charts. Smart Confirmations: The indicator doesn't just give signals - it shows you WHY. Every entry has multiple layers of confirmation (MA cross, MACD momentum, ADX strength, RSI pullback, volume, etc.) that you can toggle on/off. Dynamic Stop Loss System: Instead of static ATR stops, the SL is calculated from multiple support/resistance layers: UT trailing line, Supertrend, VWAP, swing structure, and MA levels. This creates more intelligent, price-action-aware stops. R-Multiple Take Profits: Built-in TP system calculates targets based on your initial risk (1R, 1.5R, 2R, 3R). Lines freeze when touched with visual checkmarks, giving you a clean audit trail of partial exits. Educational Tooltips Everywhere: Every single input has detailed tooltips explaining what it does, typical values, and how it impacts trading. You're not guessing - you're learning as you configure. Performance Optimized: Smart caching, conditional calculations, and modular design mean the indicator runs fast despite having 15+ features. Turn off what you don't use for even better performance. No Repainting: All signals respect bar close. Alerts fire correctly. What you see in history is what you would have gotten in real-time. What Makes It Unique: Integrated UT Bot + Bias Table: No other indicator combines UT Bot's ATR trailing system with a live multi-timeframe dashboard. You get precision entries with macro trend context. Candlestick Pattern Recognition with Interactive Tooltips: Patterns aren't just marked - hover over any emoji for a full explanation of what the pattern means and how to trade it. Opening Range Breakout Tracker: Built-in ORB system for intraday traders with customizable session times and real-time status updates in the Bias Table. Previous Day High/Low Auto-Detection: Automatically plots PDH/PDL on intraday charts with theme-aware colors. Updates daily without manual input. Dynamic Row Labels in Bias Table: The table shows your actual settings (e.g., "EMA 10 > SMA 20") not generic labels. You know exactly what's being evaluated. Modular Filter System: Instead of forcing a fixed methodology, the indicator lets you build your own strategy. Start with just UT Bot, add filters one at a time, test what works for your style. --- 2. WHO WHOULD USE THIS Designed For: Intermediate to Advanced Traders: You understand basic technical analysis (MAs, RSI, MACD) and want to combine multiple confirmations efficiently. This isn't a "one-click profit" system - it's a professional toolkit. Multi-Timeframe Traders: If you trade one asset but check multiple timeframes for confirmation (e.g., enter on 5m after checking 15m and 1h alignment), the Bias Table will save you hours every week. Trend Followers: The indicator excels at identifying and following trends using UT Bot, Supertrend, and MA systems. If you trade breakouts and pullbacks in trending markets, this is built for you. Intraday and Swing Traders: Works equally well on 5m-1h charts (day trading) and 4h-D charts (swing trading). Scalpers can use it too with appropriate settings adjustments. Discretionary Traders: This isn't a black-box system. You see all the components, understand the logic, and make final decisions. Perfect for traders who want tools, not automation. Works Across All Markets: Stocks (US, international) Cryptocurrency (24/7 markets supported) Forex pairs Indices (SPY, QQQ, etc.) Commodities NOT Ideal For : Complete Beginners: If you don't know what a moving average or RSI is, start with basics first. This indicator assumes foundational knowledge. Algo Traders Seeking Black Box: This is discretionary. Signals require context and confirmation. Not suitable for blind automated execution. Mean-Reversion Only Traders: The indicator is trend-following at its core. While VWAP bands support mean-reversion, the primary methodology is trend continuation. --- 3. CORE COMPONENTS OVERVIEW The indicator combines these proven systems: Trend Analysis: Moving Averages: Four customizable MAs (Fast, Medium, Medium-Long, Long) with six types to choose from (EMA, SMA, WMA, VWMA, RMA, HMA). Mix and match for your style. Supertrend: ATR-based trend indicator with unique gradient fill showing trend strength. One-sided ribbon visualization makes it easier to see momentum building or fading. ZLSMA : Zero-lag linear-regression smoothed moving average. Reduces lag compared to traditional MAs while maintaining smooth curves. Momentum & Filters: MACD: Standard MACD with separation filter to avoid weak crossovers. RSI: Pullback zone detection - only enter longs when RSI is in your defined "buy zone" and shorts in "sell zone". ADX/DMI: Trend strength measurement with directional filter. Ensures you only trade when there's actual momentum. Volume Filter: Relative volume confirmation - require above-average volume for entries. Donchian Breakout: Optional channel breakout requirement. Signal Systems: UT Bot: The primary signal generator. ATR trailing stop that adapts to volatility and gives clear entry/exit points. Base Signals: MA cross system with all the above filters applied. More conservative than UT Bot alone. Market Bias Table: Multi-timeframe dashboard showing trend alignment across 7 timeframes plus macro bias (3-day, weekly, monthly, quarterly, VIX). Candlestick Patterns: Six major reversal patterns auto-detected with interactive tooltips. ORB Tracker: Opening range high/low with breakout status (intraday only). PDH/PDL: Previous day levels plotted automatically on intraday charts. VWAP + Bands : Session-anchored VWAP with up to three standard deviation band pairs. --- 4. THE UT BOT TRADING SYSTEM The UT Bot is the heart of the indicator's signal generation. It's an advanced ATR trailing stop that adapts to market volatility. Why UT Bot is Superior to Fixed Stops: Traditional ATR stops use a fixed multiplier (e.g., "stop = entry - 2×ATR"). UT Bot is smarter: It TRAILS the stop as price moves in your favor It WIDENS during high volatility to avoid premature stops It TIGHTENS during consolidation to lock in profits It FLIPS when price breaks the trailing line, signaling reversals Visual Elements You'll See: Orange Trailing Line: The actual UT stop level that adapts bar-by-bar Buy/Sell Labels: Aqua triangle (long) or orange triangle (short) when the line flips ENTRY Line: Horizontal line at your entry price (optional, can be turned off) Suggested Stop Loss: A composite SL calculated from multiple support/resistance layers: - UT trailing line - Supertrend level - VWAP - Swing structure (recent lows/highs) - Long-term MA (200) - ATR-based floor Take Profit Lines: TP1, TP1.5, TP2, TP3 based on R-multiples. When price touches a TP, it's marked with a checkmark and the line freezes for audit trail purposes. Status Messages: "SL Touched ❌" or "SL Frozen" when the trade leg completes. How UT Bot Differs from Other ATR Systems: Multiple Filters Available: You can require 2-bar confirmation, minimum % price change, swing structure alignment, or ZLSMA directional filter. Most UT implementations have none of these. Smart SL Calculation: Instead of just using the UT line as your stop, the indicator suggests a better SL based on actual support/resistance. This prevents getting stopped out by wicks while keeping risk controlled. Visual Audit Trail: All SL/TP lines freeze when touched with clear markers. You can review your trades weeks later and see exactly where entries, stops, and targets were. Performance Options: "Draw UT visuals only on bar close" lets you reduce rendering load without affecting logic or alerts - critical for slower machines or 1m charts. Trading Logic: UT Bot flips direction (Buy or Sell signal appears) Check Bias Table for multi-timeframe confirmation Optional: Wait for Base signal or candlestick pattern Enter at signal bar close or next bar open Place stop at "Suggested Stop Loss" line Scale out at TP levels (TP1, TP2, TP3) Exit remaining position on opposite UT signal or stop hit --- 5. UNDERSTANDING THE MARKET BIAS TABLE This is the indicator's unique multi-timeframe intelligence layer. Instead of looking at one chart at a time, the table aggregates signals across seven timeframes plus macro trend bias. Why Multi-Timeframe Analysis Matters: Professional traders check higher and lower timeframes for context: Is the 1h uptrend aligning with my 5m entry? Are all short-term timeframes bullish or just one? Is the daily trend supportive or fighting me? Doing this manually means opening multiple charts, checking each indicator, and making mental notes. The Bias Table does it automatically in one glance. Table Structure: Header Row: On intraday charts: 1m, 5m, 15m, 30m, 1h, 2h, 4h (toggle which ones you want) On daily+ charts: D, W, M (automatic) Green dot next to title = live updating Headline Rows - Macro Bias: These show broad market direction over longer periods: 3 Day Bias: Trend over last 3 trading sessions (uses 1h data) Weekly Bias: Trend over last 5 trading sessions (uses 4h data) Monthly Bias: Trend over last 30 daily bars Quarterly Bias: Trend over last 13 weekly bars VIX Fear Index: Market regime based on VIX level - bullish when low, bearish when high Opening Range Breakout: Status of price vs. session open range (intraday only) These rows show text: "BULLISH", "BEARISH", or "NEUTRAL" Indicator Rows - Technical Signals: These evaluate your configured indicators across all active timeframes: Fast MA > Medium MA (shows your actual MA settings, e.g., "EMA 10 > SMA 20") Price > Long MA (e.g., "Price > SMA 200") Price > VWAP MACD > Signal Supertrend (up/down/neutral) ZLSMA Rising RSI In Zone ADX ≥ Minimum These rows show emojis: GREEB (bullish), RED (bearish), GRAY/YELLOW (neutral/NA) AVG Column: Shows percentage of active timeframes that are bullish for that row. This is the KEY metric: AVG > 70% = strong multi-timeframe bullish alignment AVG 40-60% = mixed/choppy, no clear trend AVG < 30% = strong multi-timeframe bearish alignment How to Use the Table: For a long trade: Check AVG column - want to see > 60% ideally Check headline bias rows - want to see BULLISH, not BEARISH Check VIX row - bullish market regime preferred Check ORB row (intraday) - want ABOVE for longs Scan indicator rows - more green = better confirmation For a short trade: Check AVG column - want to see < 40% ideally Check headline bias rows - want to see BEARISH, not BULLISH Check VIX row - bearish market regime preferred Check ORB row (intraday) - want BELOW for shorts Scan indicator rows - more red = better confirmation When AVG is 40-60%: Market is choppy, mixed signals. Either stay out or reduce position size significantly. These are low-probability environments. Unique Features: Dynamic Labels: Row names show your actual settings (e.g., "EMA 10 > SMA 20" not generic "Fast > Slow"). You know exactly what's being evaluated. Customizable Rows: Turn off rows you don't care about. Only show what matters to your strategy. Customizable Timeframes: On intraday charts, disable 1m or 4h if you don't trade them. Reduces calculation load by 20-40%. Automatic HTF Handling: On Daily/Weekly/Monthly charts, the table automatically switches to D/W/M columns. No configuration needed. Performance Smart: "Hide BIAS table on 1D or above" option completely skips all table calculations on higher timeframes if you only trade intraday. --- 6. CANDLESTICK PATTERN RECOGNITION The indicator automatically detects six major reversal patterns and marks them with emojis at the relevant bars. Why These Six Patterns: These are the most statistically significant reversal patterns according to trading literature: High win rate when appearing at support/resistance Clear visual structure (not subjective) Work across all timeframes and assets Studied extensively by institutions The Patterns: Bullish Patterns (appear at bottoms): Bullish Engulfing: Green candle completely engulfs prior red candle's body. Strong reversal signal. Hammer: Small body with long lower wick (at least 2× body size). Shows rejection of lower prices by buyers. Morning Star: Three-candle pattern (large red → small indecision → large green). Very strong bottom reversal. Bearish Patterns (appear at tops): Bearish Engulfing: Red candle completely engulfs prior green candle's body. Strong reversal signal. Shooting Star: Small body with long upper wick (at least 2× body size). Shows rejection of higher prices by sellers. Evening Star: Three-candle pattern (large green → small indecision → large red). Very strong top reversal. Interactive Tooltips: Unlike most pattern indicators that just draw shapes, this one is educational: Hover your mouse over any pattern emoji A tooltip appears explaining: what the pattern is, what it means, when it's most reliable, and how to trade it No need to memorize - learn as you trade Noise Filter: "Min candle body % to filter noise" setting prevents false signals: Patterns require minimum body size relative to price Filters out tiny candles that don't represent real buying/selling pressure Adjust based on asset volatility (higher % for crypto, lower for low-volatility stocks) How to Trade Patterns: Patterns are NOT standalone entry signals. Use them as: Confirmation: UT Bot gives signal + pattern appears = stronger entry Reversal Warning: In a trade, opposite pattern appears = consider tightening stop or taking profit Support/Resistance Validation: Pattern at key level (PDH, VWAP, MA 200) = level is being respected Best combined with: UT Bot or Base signal in same direction Bias Table alignment (AVG > 60% or < 40%) Appearance at obvious support/resistance --- 7. VISUAL TOOLS AND FEATURES VWAP (Volume Weighted Average Price): Session-anchored VWAP with standard deviation bands. Shows institutional "fair value" for the trading session. Anchor Options: Session, Day, Week, Month, Quarter, Year. Choose based on your trading timeframe. Bands: Up to three pairs (X1, X2, X3) showing statistical deviation. Price at outer bands often reverses. Auto-Hide on HTF: VWAP hides on Daily/Weekly/Monthly charts automatically unless you enable anchored mode. Use VWAP as: Directional bias (above = bullish, below = bearish) Mean reversion levels (outer bands) Support/resistance (the VWAP line itself) Previous Day High/Low: Automatically plots yesterday's high and low on intraday charts: Updates at start of each new trading day Theme-aware colors (dark text for light charts, light text for dark charts) Hidden automatically on Daily/Weekly/Monthly charts These levels are critical for intraday traders - institutions watch them closely as support/resistance. Opening Range Breakout (ORB): Tracks the high/low of the first 5, 15, 30, or 60 minutes of the trading session: Customizable session times (preset for NYSE, LSE, TSE, or custom) Shows current breakout status in Bias Table row (ABOVE, BELOW, INSIDE, BUILDING) Intraday only - auto-disabled on Daily+ charts ORB is a classic day trading strategy - breakout above opening range often leads to continuation. Extra Labels: Change from Open %: Shows how far price has moved from session open (intraday) or daily open (HTF). Green if positive, red if negative. ADX Badge: Small label at bottom of last bar showing current ADX value. Green when above your minimum threshold, red when below. RSI Badge: Small label at top of last bar showing current RSI value with zone status (buy zone, sell zone, or neutral). These labels provide quick at-a-glance confirmation without needing separate indicator windows. --- 8. HOW TO USE THE INDICATOR Step 1: Add to Chart Load the indicator on your chosen asset and timeframe First time: Everything is enabled by default - the chart will look busy Don't panic - you'll turn off what you don't need Step 2: Start Simple Turn OFF everything except: UT Bot labels (keep these ON) Bias Table (keep this ON) Moving Averages (Fast and Medium only) Suggested Stop Loss and Take Profits Hide everything else initially. Get comfortable with the basic UT Bot + Bias Table workflow first. Step 3: Learn the Core Workflow UT Bot gives a Buy or Sell signal Check Bias Table AVG column - do you have multi-timeframe alignment? If yes, enter the trade Place stop at Suggested Stop Loss line Scale out at TP levels Exit on opposite UT signal Trade this simple system for a week. Get a feel for signal frequency and win rate with your settings. Step 4: Add Filters Gradually If you're getting too many losing signals (whipsaws in choppy markets), add filters one at a time: Try: "Require 2-Bar Trend Confirmation" - wait for 2 bars to confirm direction Try: ADX filter with minimum threshold - only trade when trend strength is sufficient Try: RSI pullback filter - only enter on pullbacks, not chasing Try: Volume filter - require above-average volume Add one filter, test for a week, evaluate. Repeat. Step 5: Enable Advanced Features (Optional) Once you're profitable with the core system, add: Supertrend for additional trend confirmation Candlestick patterns for reversal warnings VWAP for institutional anchor reference ORB for intraday breakout context ZLSMA for low-lag trend following Step 6: Optimize Settings Every setting has a detailed tooltip explaining what it does and typical values. Hover over any input to read: What the parameter controls How it impacts trading Suggested ranges for scalping, day trading, and swing trading Start with defaults, then adjust based on your results and style. Step 7: Set Up Alerts Right-click chart → Add Alert → Condition: "Luxy Momentum v6" → Choose: "UT Bot — Buy" for long entries "UT Bot — Sell" for short entries "Base Long/Short" for filtered MA cross signals Optionally enable "Send real-time alert() on UT flip" in settings for immediate notifications. Common Workflow Variations: Conservative Trader: UT signal + Base signal + Candlestick pattern + Bias AVG > 70% Enter only at major support/resistance Wider UT sensitivity, multiple filters Aggressive Trader: UT signal + Bias AVG > 60% Enter immediately, no waiting Tighter UT sensitivity, minimal filters Swing Trader: Focus on Daily/Weekly Bias alignment Ignore intraday noise Use ORB and PDH/PDL less (or not at all) Wider stops, patient approach --- 9. PERFORMANCE AND OPTIMIZATION The indicator is optimized for speed, but with 15+ features running simultaneously, chart load time can add up. Here's how to keep it fast: Biggest Performance Gains: Disable Unused Timeframes: In "Time Frames" settings, turn OFF any timeframe you don't actively trade. Each disabled TF saves 10-15% calculation time. If you only day trade 5m, 15m, 1h, disable 1m, 2h, 4h. Hide Bias Table on Daily+: If you only trade intraday, enable "Hide BIAS table on 1D or above". This skips ALL table calculations on higher timeframes. Draw UT Visuals Only on Bar Close: Reduces intrabar rendering of SL/TP/Entry lines. Has ZERO impact on logic or alerts - purely visual optimization. Additional Optimizations: Turn off VWAP bands if you don't use them Disable candlestick patterns if you don't trade them Turn off Supertrend fill if you find it distracting (keep the line) Reduce "Limit to 10 bars" for SL/TP lines to minimize line objects Performance Features Built-In: Smart Caching: Higher timeframe data (3-day bias, weekly bias, etc.) updates once per day, not every bar Conditional Calculations: Volume filter only calculates when enabled. Swing filter only runs when enabled. Nothing computes if turned off. Modular Design: Every component is independent. Turn off what you don't need without breaking other features. Typical Load Times: 5m chart, all features ON, 7 timeframes: ~2-3 seconds 5m chart, core features only, 3 timeframes: ~1 second 1m chart, all features: ~4-5 seconds (many bars to calculate) If loading takes longer, you likely have too many indicators on the chart total (not just this one). --- 10. FAQ Q: How is this different from standard UT Bot indicators? A: Standard UT Bot (originally by @QuantNomad) is just the ATR trailing line and flip signals. This implementation adds: - Volume weighting and momentum adjustment to the trailing calculation - Multiple confirmation filters (swing, %, 2-bar, ZLSMA) - Smart composite stop loss system from multiple S/R layers - R-multiple take profit system with freeze-on-touch - Integration with multi-timeframe Bias Table - Visual audit trail with checkmarks Q: Can I use this for automated trading? A: The indicator is designed for discretionary trading. While it has clear signals and alerts, it's not a mechanical system. Context and judgment are required. Q: Does it repaint? A: No. All signals respect bar close. UT Bot logic runs intrabar but signals only trigger on confirmed bars. Alerts fire correctly with no lookahead. Q: Do I need to use all the features? A: Absolutely not. The indicator is modular. Many profitable traders use just UT Bot + Bias Table + Moving Averages. Start simple, add complexity only if needed. Q: How do I know which settings to use? A: Every single input has a detailed tooltip. Hover over any setting to see: What it does How it affects trading Typical values for scalping, day trading, swing trading Start with defaults, adjust gradually based on results. Q: Can I use this on crypto 24/7 markets? A: Yes. ORB will not work (no defined session), but everything else functions normally. Use "Day" anchor for VWAP instead of "Session". Q: The Bias Table is blank or not showing. A: Check: "Show Table" is ON Table position isn't overlapping another indicator's table (change position) At least one row is enabled "Hide BIAS table on 1D or above" is OFF (if on Daily+ chart) Q: Why are candlestick patterns not appearing? A: Patterns are relatively rare by design - they only appear at genuine reversal points. Check: Pattern toggles are ON "Min candle body %" isn't too high (try 0.05-0.10) You're looking at a chart with actual reversals (not strong trending market) Q: UT Bot is too sensitive/not sensitive enough. A: Adjust "Sensitivity (Key×ATR)". Lower number = tighter stop, more signals. Higher number = wider stop, fewer signals. Read the tooltip for guidance. Q: Can I get alerts for the Bias Table? A: The Bias Table is a dashboard for visual analysis, not a signal generator. Set alerts on UT Bot or Base signals, then manually check Bias Table for confirmation. Q: Does this work on stocks with low volume? A: Yes, but turn OFF the volume filter. Low volume stocks will never meet relative volume requirements. Q: How often should I check the Bias Table? A: Before every entry. It takes 2 seconds to glance at the AVG column and headline rows. This one check can save you from fighting the trend. Q: What if UT signal and Base signal disagree? A: UT Bot is more aggressive (ATR trailing). Base signals are more conservative (MA cross + filters). If they disagree, either: Wait for both to align (safest) Take the UT signal but with smaller size (aggressive) Skip the trade (conservative) There's no "right" answer - depends on your risk tolerance. --- FINAL NOTES The indicator gives you an edge. How you use that edge determines results. For questions, feedback, or support, comment on the indicator page or message the author. Happy Trading!
Indicatore Pine Script®
di orenluxy
39
RSI Donchian Channel [DCAUT]█ RSI Donchian Channel 📊 ORIGINALITY & INNOVATION The RSI Donchian Channel represents an important synthesis of two complementary analytical frameworks: momentum oscillators and breakout detection systems. This indicator addresses a common limitation in traditional RSI analysis by replacing fixed overbought/oversold thresholds with adaptive zones derived from historical RSI extremes. Key Enhancement: Traditional RSI analysis relies on static threshold levels (typically 30/70), which may not adequately reflect changing market volatility regimes. This indicator adapts the reference zones dynamically based on the actual RSI behavior over the lookback period, helping traders identify meaningful momentum extremes relative to recent price action rather than arbitrary fixed levels. The implementation combines the proven momentum measurement capabilities of RSI with Donchian Channel's breakout detection methodology, creating a framework that identifies both momentum exhaustion points and potential continuation signals through the same analytical lens. 📐 MATHEMATICAL FOUNDATION Core Calculation Process: Step 1: RSI Calculation The Relative Strength Index measures momentum by comparing the magnitude of recent gains to recent losses: Calculate price changes between consecutive periods Separate positive changes (gains) from negative changes (losses) Apply selected smoothing method (RMA standard, also supports SMA, EMA, WMA) to both gain and loss series Compute Relative Strength (RS) as the ratio of smoothed gains to smoothed losses Transform RS into bounded 0-100 scale using the formula: RSI = 100 - (100 / (1 + RS)) Step 2: Donchian Channel Application The Donchian Channel identifies the highest and lowest RSI values within the specified lookback period: Upper Channel: Highest RSI value over the lookback period, represents the recent momentum peak Lower Channel: Lowest RSI value over the lookback period, represents the recent momentum trough Middle Channel (Basis): Average of upper and lower channels, serves as equilibrium reference Channel Width Dynamics: The distance between upper and lower channels reflects RSI volatility. Wide channels indicate high momentum variability, while narrow channels suggest momentum consolidation and potential breakout preparation. The indicator monitors channel width over a 100-period window to identify squeeze conditions that often precede significant momentum shifts. 📊 COMPREHENSIVE SIGNAL ANALYSIS Primary Signal Categories: Breakout Signals: Upper Breakout: RSI crosses above the upper channel, indicates momentum reaching new relative highs and potential trend continuation, particularly significant when accompanied by price confirmation Lower Breakout: RSI crosses below the lower channel, suggests momentum reaching new relative lows and potential trend exhaustion or reversal setup Breakout strength is enhanced when the channel is narrow prior to the breakout, indicating a transition from consolidation to directional movement Mean Reversion Signals: Upper Touch Without Breakout: RSI reaches the upper channel but fails to break through, may indicate momentum exhaustion and potential reversal opportunity Lower Touch Without Breakout: RSI reaches the lower channel without breakdown, suggests potential bounce as momentum reaches oversold extremes Return to Basis: RSI moving back toward the middle channel after touching extremes signals momentum normalization Trend Strength Assessment: Sustained Upper Channel Riding: RSI consistently remains near or above the upper channel during strong uptrends, indicates persistent bullish momentum Sustained Lower Channel Riding: RSI stays near or below the lower channel during strong downtrends, reflects persistent bearish pressure Basis Line Position: RSI position relative to the middle channel helps identify the prevailing momentum bias Channel Compression Patterns: Squeeze Detection: Channel width narrowing to 100-period lows indicates momentum consolidation, often precedes significant directional moves Expansion Phase: Channel widening after a squeeze confirms the initiation of a new momentum regime Persistent Narrow Channels: Extended periods of tight channels suggest market indecision and accumulation/distribution phases 🎯 STRATEGIC APPLICATIONS Trend Continuation Strategy: This approach focuses on identifying and trading momentum breakouts that confirm established trends: Identify the prevailing price trend using higher timeframe analysis or trend-following indicators Wait for RSI to break above the upper channel in uptrends (or below the lower channel in downtrends) Enter positions in the direction of the breakout when price action confirms the momentum shift Place protective stops below the recent swing low (long positions) or above swing high (short positions) Target profit levels based on prior swing extremes or use trailing stops to capture extended moves Exit when RSI crosses back through the basis line in the opposite direction Mean Reversion Strategy: This method capitalizes on momentum extremes and subsequent corrections toward equilibrium: Monitor for RSI reaching the upper or lower channel boundaries Look for rejection signals (price reversal patterns, volume divergence) when RSI touches the channels Enter counter-trend positions when RSI begins moving back toward the basis line Use the basis line as the initial profit target for mean reversion trades Implement tight stops beyond the channel extremes to limit risk on failed reversals Scale out of positions as RSI approaches the basis line and closes the position when RSI crosses the basis Breakout Preparation Strategy: This approach positions traders ahead of potential volatility expansion from consolidation phases: Identify squeeze conditions when channel width reaches 100-period lows Monitor price action for consolidation patterns (triangles, rectangles, flags) during the squeeze Prepare conditional orders for breakouts in both directions from the consolidation Enter positions when RSI breaks out of the narrow channel with expanding width Use the channel width expansion as a confirmation signal for the breakout's validity Manage risk with stops just inside the opposite channel boundary Multi-Timeframe Confluence Strategy: Combining RSI Donchian Channel analysis across multiple timeframes can improve signal reliability: Identify the primary trend direction using a higher timeframe RSI Donchian Channel (e.g., daily or weekly) Use a lower timeframe (e.g., 4-hour or hourly) to time precise entry points Enter long positions when both timeframes show RSI above their respective basis lines Enter short positions when both timeframes show RSI below their respective basis lines Avoid trades when timeframes provide conflicting signals (e.g., higher timeframe below basis, lower timeframe above) Exit when the higher timeframe RSI crosses its basis line in the opposite direction Risk Management Guidelines: Effective risk management is essential for all RSI Donchian Channel strategies: Position Sizing: Calculate position sizes based on the distance between entry point and stop loss, limiting risk to 1-2% of capital per trade Stop Loss Placement: For breakout trades, place stops just inside the opposite channel boundary; for mean reversion trades, use stops beyond the channel extremes Profit Targets: Use the basis line as a minimum target for mean reversion trades; for trend trades, target prior swing extremes or use trailing stops Channel Width Context: Increase position sizes during narrow channels (lower volatility) and reduce sizes during wide channels (higher volatility) Correlation Awareness: Monitor correlations between traded instruments to avoid over-concentration in similar setups 📋 DETAILED PARAMETER CONFIGURATION RSI Source: Defines the price data series used for RSI calculation: Close (Default): Standard choice providing end-of-period momentum assessment, suitable for most trading styles and timeframes High-Low Average (HL2): Reduces the impact of closing auction dynamics, useful for markets with significant end-of-day volatility High-Low-Close Average (HLC3): Provides a more balanced view incorporating the entire period's range Open-High-Low-Close Average (OHLC4): Offers the most comprehensive price representation, helpful for identifying overall period sentiment Strategy Consideration: Use Close for end-of-period signals, HL2 or HLC3 for intraday volatility reduction, OHLC4 for capturing full period dynamics RSI Length: Controls the number of periods used for RSI calculation: Short Periods (5-9): Highly responsive to recent price changes, produces more frequent signals with increased false signal risk, suitable for short-term trading and volatile markets Standard Period (14): Widely accepted default balancing responsiveness with stability, appropriate for swing trading and intermediate-term analysis Long Periods (21-28): Produces smoother RSI with fewer signals but more reliable trend identification, better for position trading and reducing noise in choppy markets Optimization Approach: Test different lengths against historical data for your specific market and timeframe, consider using longer periods in ranging markets and shorter periods in trending markets RSI MA Type: Determines the smoothing method applied to price changes in RSI calculation: RMA (Relative Moving Average - Default): Wilder's original smoothing method providing stable momentum measurement with gradual response to changes, maintains consistency with classical RSI interpretation SMA (Simple Moving Average): Treats all periods equally, responds more quickly to changes than RMA but may produce more whipsaws in volatile conditions EMA (Exponential Moving Average): Weights recent periods more heavily, increases responsiveness at the cost of potential noise, suitable for traders prioritizing early signal generation WMA (Weighted Moving Average): Applies linear weighting favoring recent data, offers a middle ground between SMA and EMA responsiveness Selection Guidance: Maintain RMA for consistency with traditional RSI analysis, use EMA or WMA for more responsive signals in fast-moving markets, apply SMA for maximum simplicity and transparency DC Length: Specifies the lookback period for Donchian Channel calculation on RSI values: Short Periods (10-14): Creates tight channels that adapt quickly to changing momentum conditions, generates more frequent trading signals but increases sensitivity to short-term RSI fluctuations Standard Period (20): Balances channel responsiveness with stability, aligns with traditional Bollinger Bands and moving average periods, suitable for most trading styles Long Periods (30-50): Produces wider, more stable channels that better represent sustained momentum extremes, reduces signal frequency while improving reliability, appropriate for position traders and higher timeframes Calibration Strategy: Match DC length to your trading timeframe (shorter for day trading, longer for swing trading), test channel width behavior during different market regimes, consider using adaptive periods that adjust to volatility conditions Market Adaptation: Use shorter DC lengths in trending markets to capture momentum shifts earlier, apply longer periods in ranging markets to filter noise and focus on significant extremes Parameter Combination Recommendations: Scalping/Day Trading: RSI Length 5-9, DC Length 10-14, EMA or WMA smoothing for maximum responsiveness Swing Trading: RSI Length 14, DC Length 20, RMA smoothing for balanced analysis (default configuration) Position Trading: RSI Length 21-28, DC Length 30-50, RMA or SMA smoothing for stable signals High Volatility Markets: Longer RSI periods (21+) with standard DC length (20) to reduce noise Low Volatility Markets: Standard RSI length (14) with shorter DC length (10-14) to capture subtle momentum shifts 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Adaptive Threshold Mechanism: Unlike traditional RSI analysis with fixed 30/70 thresholds, this indicator's Donchian Channel approach provides several improvements: Context-Aware Extremes: Overbought/oversold levels adjust automatically based on recent momentum behavior rather than arbitrary fixed values Volatility Adaptation: In low volatility periods, channels narrow to reflect tighter momentum ranges; in high volatility, channels widen appropriately Market Regime Recognition: The indicator implicitly adapts to different market conditions without manual threshold adjustments False Signal Reduction: Adaptive channels help reduce premature reversal signals that often occur with fixed thresholds during strong trends Signal Quality Characteristics: The indicator's dual-purpose design provides distinct advantages for different trading objectives: Breakout Trading: Channel boundaries offer clear, objective breakout levels that update dynamically, eliminating the ambiguity of when momentum becomes "too high" or "too low" Mean Reversion: The basis line provides a natural profit target for reversion trades, representing the midpoint of recent momentum extremes Trend Strength: Persistent channel boundary riding offers an objective measure of trend strength without additional indicators Consolidation Detection: Channel width analysis provides early warning of potential volatility expansion from compression phases Comparative Analysis: When compared to traditional RSI implementations and other momentum frameworks: vs. Fixed Threshold RSI: Provides market-adaptive reference levels rather than static values, helping to reduce false signals during trending markets where RSI can remain "overbought" or "oversold" for extended periods vs. RSI Bollinger Bands: Offers clearer breakout signals and more intuitive extreme identification through actual high/low boundaries rather than statistical standard deviations vs. Stochastic Oscillator: Maintains RSI's momentum measurement advantages (unbounded calculation avoiding scale compression) while adding the breakout detection capabilities of Donchian Channels vs. Standard Donchian Channels: Applies breakout methodology to momentum space rather than price, providing earlier signals of potential trend changes before price breakouts occur Performance Characteristics: The indicator exhibits specific behavioral patterns across different market conditions: Trending Markets: Excels at identifying momentum continuation through channel breakouts, RSI tends to ride one channel boundary during strong trends, providing trend confirmation Ranging Markets: Channel width narrows during consolidation, offering early preparation signals for potential breakout trading opportunities High Volatility: Channels widen to reflect increased momentum variability, automatically adjusting signal sensitivity to match market conditions Low Volatility: Channels contract, making the indicator more sensitive to subtle momentum shifts that may be significant in calm market environments Transition Periods: Channel squeezes often precede major trend changes, offering advance warning of potential regime shifts Limitations and Considerations: Users should be aware of certain operational characteristics: Lookback Dependency: Channel boundaries depend entirely on the lookback period, meaning the indicator has no predictive element beyond identifying current momentum relative to recent history Lag Characteristics: As with all moving average-based indicators, RSI calculation introduces lag, and channel boundaries update only as new extremes occur within the lookback window Range-Bound Sensitivity: In extremely tight ranges, channels may become very narrow, potentially generating excessive signals from minor momentum fluctuations Trending Persistence: During very strong trends, RSI may remain at channel extremes for extended periods, requiring patience for mean reversion setups or commitment to trend-following approaches No Absolute Levels: Unlike traditional RSI, this indicator provides no fixed reference points (like 50), making it less suitable for strategies that depend on absolute momentum readings USAGE NOTES This indicator is designed for technical analysis and educational purposes to help traders understand momentum dynamics and identify potential trading opportunities. The RSI Donchian Channel has limitations and should not be used as the sole basis for trading decisions. Important considerations: Performance varies significantly across different market conditions, timeframes, and instruments Historical signal patterns do not guarantee future results, as market behavior continuously evolves Effective use requires understanding of both RSI momentum principles and Donchian Channel breakout concepts Risk management practices (stop losses, position sizing, diversification) are essential for any trading application Consider combining with additional analytical tools such as volume analysis, price action patterns, or trend indicators for confirmation Backtest thoroughly on your specific instruments and timeframes before live trading implementation Be aware that optimization on historical data may lead to curve-fitting and poor forward performance The indicator performs best when used as part of a comprehensive trading methodology that incorporates multiple forms of market analysis, sound risk management, and realistic expectations about win rates and drawdowns.
Indicatore Pine Script®
di DCAUT