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Mxwll Price Action Suite [Mxwll]Introducing the Mxwll Price Action Suite! The Mxwll Price Action Suite is an all-in-one analysis indicator incorporating elements of SMC and also ideas extending beyond the trading methodology! Features Internal structures External structures Customizable Sensitivities BoS/CHoCH Order Blocks HH/LH/LL/LH Areas Rolling TF highs/lows Rolling Volume Comparisons Auto Fibs And more! The image above shows the indicator's market structure identification capabilities. Internal BoS and CHoCH structures in addition to overarching market structures are available with customizable sensitivities. The image above shows the indicator identifying order blocks! Additionally, HH/LH/LL/LH areas are also identified. The image above shows a rolling area of interest. These areas can be compared to supply/demand zones, where traders might consider a bargain long/short/sell area. The indicator displays a rolling 4hr high/low and 1D high/low, alongside auto fibonacci levels with a customizable sensitivity. Finally, the Mxwll Price Action Suite shows relevant session information. Table information Current Session Countdown to session close Next Session Countdown to next session open Rolling 4-Hr volume intensity Rolling 24-Hr volume intensity Introducing the Mxwll SMC Suite! The Mxwll SMC Suite is an all-in-one analysis indicator incorporating elements of SMC and also ideas extending beyond the trading methodology! Features Internal structures External structures Customizable Sensitivities BoS/CHoCH Order Blocks HH/LH/LL/LH Areas Rolling TF highs/lows Rolling Volume Comparisons Auto Fibs And more! The image above shows the indicator's market structure identification capabilities. Internal BoS and CHoCH structures in addition to overarching market structures are available with customizable sensitivities. The image above shows the indicator identifying order blocks! Additionally, HH/LH/LL/LH areas are also identified. The image above shows a rolling area of interest. These areas can be compared to supply/demand zones, where traders might consider a bargain long/short/sell area. The indicator displays a rolling 4hr high/low and 1D high/low, alongside auto fibonacci levels with a customizable sensitivity. Finally, the Mxwll Price Action Suite shows relevant session information. Table information Current Session Countdown to session close Next Session Countdown to next session open Rolling 4-Hr volume intensity Rolling 24-Hr volume intensity Expanded Features of Mxwll Price Action Suite Internal and External Structures Internal Structures: These elements refer to the price formations and patterns that occur within a smaller scope or a specific trading session. The suite can detect intricate details like minor support/resistance levels or short-term trend reversals. External Structures: These involve larger, more significant market patterns and trends spanning multiple sessions or time frames. This capability helps traders understand overarching market directions. Customizable Sensitivities Adjusting sensitivity settings allows users to tailor the indicator's responsiveness to market changes. Higher sensitivity can catch smaller fluctuations, while lower sensitivity might focus on more significant, reliable market moves. Break of Structure (BoS) and Change of Character (CHoCH) BoS: This feature identifies points where the price breaks a significant structure, potentially indicating a new trend or a trend reversal. CHoCH: Detects subtle shifts in the market's behavior, which could suggest the early stages of a trend change before they become apparent to the broader market. Order Blocks and Market Phases Order Blocks: These are essentially price levels or zones where significant trading activities previously occurred, likely pointing to the positions of smart money. HH/LH/LL/LH Areas: Identifying Higher Highs (HH), Lower Highs (LH), Lower Lows (LL), and Lower Highs (LH) helps in understanding the trend and market structure, aiding in predictive analysis. Rolling Timeframe Highs/Lows and Volume Comparisons Tracks highs and lows over specified rolling periods, providing dynamic support and resistance levels. Compares volume data across different timeframes to assess the strength or weakness of the current price movements. Auto Fibonacci Levels Automatically calculates and plots Fibonacci retracement levels, a popular tool among traders to identify potential reversal points based on past movements. Session Data and Volume Intensity Session Information: Displays current and upcoming trading sessions along with countdown timers, which is crucial for day traders and those trading on session overlaps. Volume Intensity: Measures and compares the volume within the last 4 hours and 24 hours to gauge market activity and potential breakout/breakdown movements. Visualizations and Practical Use Dynamic Visuals: The suite provides dynamic visual aids, such as real-time updating of high/low markers and Fibonacci levels, which adjust as new data comes in. This feature is critical in fast-paced markets. Strategic Entry/Exit Points: By identifying order blocks and using Fibonacci levels, traders can pinpoint strategic entry and exit points, maximizing potential returns. Risk Management: Enhanced features like session countdowns and volume intensity help in better risk management by providing traders with more data on market sentiment and potential volatility.
Indicatore Pine Script®
di MXWLL-Capital-Trading
186
Fib Pivot Points HLThis TradingView indicator allows users to select a specific timeframe (TF) and then analyzes the high, low, and closing prices from the past period within that TF to calculate a central pivot point. The pivot point is determined using the formula (High + Close + Low) / 3, providing a key level around which the market is expected to pivot or change direction. In addition to the central pivot point, the indicator enhances its utility by incorporating Fibonacci levels. These levels are calculated based on the range from the low to the high of the selected timeframe. For instance, a Fibonacci level like R0.38 would be calculated by adding 38% of the high-low range to the pivot point, giving traders potential resistance levels above the pivot. Key features of this indicator include: Timeframe Selection: Users can choose their desired timeframe, such as weekly, daily, etc., for analysis. Pivot Point Calculation: The indicator calculates the pivot point based on the previous period's high, low, and closing prices within the selected timeframe. Fibonacci Levels: Adds Fibonacci retracement levels to the pivot point, offering traders additional layers of potential support and resistance based on the natural Fibonacci sequence. This indicator is particularly useful for traders looking to identify potential turning points in the market and key levels of support and resistance based on historical price action and the Fibonacci sequence, which is widely regarded for its ability to predict market movements. Example: Suppose you're analyzing the EUR/USD currency pair using this indicator with a weekly timeframe setting. The previous week's price action showed a high of 1.2100, a low of 1.1900, and the week closed at 1.2000. Using the formula ( High + Close + Low ) / 3 (High+Close+Low)/3, the pivot point would be calculated as ( 1.2100 + 1.2000 + 1.1900 ) / 3 = 1.2000. Thus, the central pivot point for the current week is at 1.2000. The range from the low to the high is 1.2100 − 1.1900 = 0.0200 1.2100−1.1900=0.0200. To calculate a specific Fibonacci level, such as R0.38, you would add 38% of the high-low range to the pivot point: 1.2000 + ( 0.0200 ∗ 0.38 ) = 1.2076 1.2000+(0.0200∗0.38)=1.2076. Thus, the R0.38 Fibonacci resistance level is at 1.2076. Similarly, you can calculate other Fibonacci levels such as S0.38 (Support level at 38% retracement) by subtracting 38% of the high-low range from the pivot point. Traders can use the pivot point as a reference for the market's directional bias: prices above the pivot point suggest bullish sentiment, while prices below indicate bearish sentiment. The Fibonacci levels act as potential stepping stones for price movements, offering strategic points for entry, exit, or placing stop-loss orders.
Indicatore Pine Script®
di microupnup
4
[KVA] Kamvia Directional MovementKamvia Directional Movement (KDM) Indicator is an analytical tool designed to identify potential buying and selling opportunities in the market. It highlights the phases of price depletion which typically align with price highs and lows, offering a nuanced understanding of market dynamics. Efficient at pinpointing trend breakdowns and excelling in the identification of intra-day entry and exit points, the Kamvia Directional Movement Indicator is a valuable asset for traders aiming to optimize their market strategies. The KDM not only takes into account the traditional high and low price points within its analysis but also introduces an innovative approach by incorporating the concepts of body high and body low. This nuanced analysis offers a deeper insight into market momentum and potential shifts in market dynamics. High and Low Analysis : The indicator examines the price highs and lows to gauge the overall market volatility and potential turning points. By analyzing these extremities, traders can get a sense of market strength and possible shifts in trend direction. The high points indicate periods of maximum buying interest, potentially signaling overbought conditions, while the low points reflect selling interest, hinting at oversold conditions. Body High and Body Low Analysis : Unique to the KDM Indicator is the emphasis on the body of the candlestick, which is the range between the open and close prices. This analysis offers a more refined view of market sentiment by focusing on the actual trading range experienced within the period. The body high (the upper end of the candlestick body) and body low (the lower end of the candlestick body) provide insights into the buying and selling pressure during the trading session, beyond mere price extremities. The indicator is calibrated on a scale from 0 to 100, making interpretation intuitive and straightforward. A reading above 70 is considered to be in the overbought region, suggesting that the market might be experiencing a heightened level of buying activity that could lead to a potential pullback or reversal. Conversely, a reading below 30 falls into the oversold region, indicating a possible exhaustion in selling pressure and a potential for market reversal or bounce back. This scale and the detailed analysis of both price and body dynamics equip traders with a comprehensive tool for assessing market conditions. The distinction between high/low and body high/body low analysis enriches the indicator's capability to provide more targeted insights into market behavior, enabling traders to make more nuanced decisions based on a broader spectrum of information. By identifying the duration and extent to which these conditions persist, traders can better interpret the market's momentum and align their strategies with the prevailing trend or prepare for an impending reversal. KDM Strategy The strategy focuses on spotting price reversals within a confirmed trend. While the indicator features regions indicating overbought and oversold conditions, these signals alone are not sufficient predictors of a market reversal. The terms "overbought" and "oversold" describe scenarios where prices reach levels that are unusually high or low within a specified look-back period. Entering these zones often indicates a continuation of the trend rather than a reversal. A "strongly overbought" condition signals buying pressure, whereas a "strongly oversold" condition indicates selling pressure. The key to leveraging these conditions lies in analyzing the duration for which the market remains in either state. This duration can provide critical insights into whether the market is trending or ranging. Extended periods in extreme overbought territories confirm an uptrend, while prolonged presence in slight overbought zones (above 50 but below 70, for example) suggests a more moderate uptrend. Conventionally, levels above 70 signal extreme overbought conditions, and those below 30 indicate extreme oversold conditions. Traders are advised to exercise caution when the oscillator stays within these extreme areas. Ideally, the strategy involves capitalizing on temporary price drops within an overall uptrend or on temporary price spikes within an overall downtrend. Identifying trading opportunities with the KDM Indicator involves looking for the indicator to exit these extreme overbought or oversold regions, signaling potential reversals or continuations in the market's direction. This approach helps traders make informed decisions by considering the broader market trend alongside short-term price movements.
Indicatore Pine Script®
di Kamvia
Fake BreakoutThis indicator detect fake breakout on previous day high/low and option previous swing high and low Rule Detect Fake Breakout On Previous Day High/Low Or Swing high low Fake Breakout - 1) Detect previous day high/low or swing high/low 2) A) If price revisit on previous day high/swing high look for upside breakout after input number of candle (1-5) price came back to previous high and breakout happen downside it show sell because its fake breakout of previous day high or swing high B) If price revisit on previous day low/swing low look for downside breakout after input number of candle (1-5) price came back to previous low and breakout upside of previous day low it show Buy because its fake breakout of previous day low or swing low Disclaimer -Traders can use this script as a starting point for further customization or as a reference for developing their own trading strategies. It's important to note that past performance is not indicative of future results, and thorough testing and validation are recommended before deploying any trading strategy.
Indicatore Pine Script®
di samscripter
3
libHTF[without request.security()]Library "libHTF" libHTF: use HTF values without request.security() This library enables to use HTF candles without request.security(). Basic data structure Using to access values in the same manner as series variable. The last member of HTF array is always latest current TF's data. If new bar in HTF(same as last bar closes), new member is pushed to HTF array. 2nd from the last member of HTF array is latest fixed(closed) bar. HTF: How to use 1. set TF tf_higher() function selects higher TF. TF steps are ("1","5","15","60","240","D","W","M","3M","6M","Y"). example: tfChart = timeframe.period htf1 = tf_higher(tfChart) 2. set HTF matrix htf_candle() function returns 1 bool and 1 matrix. bool is a flag for start of new candle in HTF context. matrix is HTF candle data(0:open,1:time_open,2:close,3:time_close,4:high,5:time:high,6:low,7:time_low). example: =htf_candle(htf1) 3. how to access HTF candle data you can get values using .lastx() method. please be careful, return value is always float evenif it is "time". you need to cast to int time value when using for xloc.bartime. example: htf1open=m1.lastx("open") htf1close=m1.lastx("close") //if you need to use histrical value. lastopen=open lasthtf1open=m1.lastx("open",1) 4. how to store Data of HTF context you have to use array to store data of HTF context. array.htf_push() method handles the last member of array. if new_bar in HTF, it push new member. otherwise it set value to the last member. example: array a_close=array.new(1,na) a_close.htf_push(b_new_bar1,m1.lastx("close")) HTFsrc: How to use 1. how to setup src. set_src() function is set current tf's src from string(open/high/low/close/hl2/hlc3/ohlc4/hlcc4). set_htfsrc() function returns src array of HTF candle. example: _src="ohlc4" src=set_src(_src) htf1src=set_htfsrc(_src,b_new_bar1,m1) (if you need to use HTF src in series float) s_htf1src=htf1src.lastx() HighLow: How to use 1. set HTF arrays highlow() and htfhighlow() function calculates high/low and return high/low prices and time. the functions return 1 int and 8arrays. int is a flag for new high(1) or new low(-1). arrays are high/low and return high/low data. float for price, int for time. example = highlow() = htfhighlow(m1) 2. how to access HighLow data you can get values using .lastx() method. example: if i_renew==1 myhigh=a_high.lastx() //if you need to use histrical value. myhigh=a_high.lastx(1) other functions functions for HTF candle matrix or HTF src array in this script are htf_sma()/htf_ema()/htf_rma() htf_rsi()/htf_rci()/htf_dmi() method lastx(arrayid, lastindex)   method like array.last. it returns lastindex from the last member, if parameter is set.   Namespace types: float   Parameters:      arrayid (float )      lastindex (int) : (int) default value is "0"(the last member). if you need to access historical value, increment it(same manner as series vars).   Returns: float value of lastindex from the last member of the array. returns na, if fail. method lastx(arrayid, lastindex)   method like array.last. it returns lastindex from the last member, if parameter is set.   Namespace types: int   Parameters:      arrayid (int )      lastindex (int) : (int) default value is "0"(the last member). if you need to access historical value, increment it(same manner as series vars).   Returns: int value of lastindex from the last member of the array. returns na, if fail. method lastx(m, _type, lastindex)   method for handling htf matrix.   Namespace types: matrix   Parameters:      m (matrix) : (matrix) matrix for htf candle.      _type (string) : (string) value type of htf candle:      lastindex (int) : (int) default value is "0"(the last member).   Returns: (float) value of htf candle. (caution: need to cast float to int to use time values!) method set_last(arrayid, val)   method to set a value of the last member of the array. it sets value to the last member.   Namespace types: float   Parameters:      arrayid (float )      val (float) : (float) value to set.   Returns: nothing method htf_push(arrayid, b, val)   method to push new member to htf context. if new bar in htf, it works as push. else it works as set_last.   Namespace types: float   Parameters:      arrayid (float )      b (bool) : (bool) true:push,false:set_last      val (float) : (float) _f the value to set.   Returns: nothing method tf_higher(tf)   method to set higher tf from tf string. TF steps are .   Namespace types: series string, simple string, input string, const string   Parameters:      tf (string) : (string) tf string   Returns: (string) string of higher tf. htf_candle(_tf, _TZ)   build htf candles   Parameters:      _tf (string) : (string) tf string.      _TZ (string) : of timezone. default value is "GMT+3".   Returns: bool for new bar@htf and matrix for snapshot of htf candle set_src(_src_type)   set src.   Parameters:      _src_type (string) : (string) type of source:   Returns: (series float) src value set_htfsrc(_src_type, _nb, _m)   set htf src.   Parameters:      _src_type (string) : (string) type of source:      _nb (bool) : (bool) flag of new bar      _m (matrix) : (matrix) matrix for htf candle.   Returns: (array) array of src value is_up() last_is_up() peak_bottom(_latest, _last)   Parameters:      _latest (bool)      _last (bool) htf_is_up(_m)   Parameters:      _m (matrix) htf_last_is_up(_m)   Parameters:      _m (matrix) highlow(_b_bartime_price)   Parameters:      _b_bartime_price (bool) htfhighlow(_m, _b_bartime_price)   Parameters:      _m (matrix)      _b_bartime_price (bool) htf_sma(_a_src, _len)   Parameters:      _a_src (float )      _len (int) htf_rma(_a_src, _new_bar, _len)   Parameters:      _a_src (float )      _new_bar (bool)      _len (int) htf_ema(_a_src, _new_bar, _len)   Parameters:      _a_src (float )      _new_bar (bool)      _len (int) htf_rsi(_a_src, _new_bar, _len)   Parameters:      _a_src (float )      _new_bar (bool)      _len (int) rci(_src, _len)   Parameters:      _src (float)      _len (int) htf_rci(_a_src, _len)   Parameters:      _a_src (float )      _len (int) htf_dmi(_m, _new_bar, _len, _ma_type)   Parameters:      _m (matrix)      _new_bar (bool)      _len (int)      _ma_type (string)
Libreria Pine Script®
di nazomobile
4
4H RangeThis script visualizes certain key values based on a 4-hour timeframe of the selected market on the chart. These values include the High, Mid, and Low price levels during each 4-hour period. These levels can be helpful to identify inside range price action, chop, and consolidation. They can sometimes act as pivots and can be a great reference for potential entries and exits if price continues to hold the same range. Here's a step-by-step overview of what this indicator does: 1. Inputs: At the beginning of the script, users are allowed to customize some inputs: Choose the color of lines and labels. Decide whether to show labels on the chart. Choose the size of labels ("tiny", "small", "normal", or "large"). Choose whether to display price values in labels. Set the number of bars to offset the labels to the right. Set a threshold for the number of ticks that triggers a new calculation of high, mid, and low values. * Tick settings may need to be increased on equity charts as one tick is usually equal to one cent. For example, if you want to clear the range when there is a close one point/one dollar above or below the range high/low then on ES that would be 4 ticks but one whole point on AAPL would be 100 ticks. 100 ticks on an equity chart may or may not be ideal due to different % change of 100 ticks might be too excessive depending on the price per share. So be aware that user preferred thresholds can vary greatly depending on which chart you're using. 2. Retrieving Price Data: The script retrieves the high, low, and closing price for every 4-hour period for the current market. The script also calculates the mid-price of each 4-hour period (the average of the high and low prices). 3. Line Drawing: At the start of the script (first run), it draws three lines (high, mid, and low) at the levels corresponding to the high, mid, and low prices. Users can also change transparency settings on historical lines to view them. Default setting for historical lines is for them to be hidden. 4. Updating Lines and Labels: For each subsequent 4-hour period, the script checks whether the close price of the period has gone beyond a certain threshold (set by user input) above the previous high or below the previous low. If it has, the script deletes the previous lines and labels, draws new lines at the new high, mid, and low levels, and creates new labels (if the user has opted to show labels). 5. Displaying Values in the Data Window: In addition to the visual representation on the chart, the script also plots the high, mid, and low prices. These plotted values appear in the Data Window of TradingView, allowing users to see the exact price levels even when they're not directly labeled on the chart. 6. Updating Lines and Labels Position: At the end of each period, the script moves the lines and labels (if they're shown) to the right, keeping them aligned with the current period. Please note: This script operates based on a 4-hour timeframe, regardless of the timeframe selected on the chart. If a shorter timeframe is selected on the chart, the lines and labels will appear to extend across multiple bars because they represent 4-hour price levels. If a longer timeframe is selected, the lines and labels may not accurately represent high, mid, and low levels within that longer timeframe.
Indicatore Pine Script®
di reallywendy
22
DB Support Resistance Levels + Smart Higher Highs and Lower LowsDB Support Resistance Levels + Smart Higher Highs and Lower Lows The indicator plots historic lines for high, low and close prices shown in settings as "base levels". Users can control the lookback period that is plotted along with an optional multiplier. Traders will notice that the price bounces off these historic base levels. The base levels are shown as light gray by default (customizable in the settings). Users may choose to display base levels by a combination of historic high, low and close values. On top of the historic base levels, the indicator display higher high and lower low levels from the current bar high/low. Higher highs are shown by default in pink and lower lows by default in yellow. The user can adjust the lookback period for displaying higher highs and the optional multiplier. Only historic values higher than the current bar high are displayed filtering out (by highlighting) the remaining levels for the current bar. Users may choose to use a combination of historic open, low and close values for displaying higher highs. The user can adjust the lookback period for displaying lower lows and the optional multiplier. Only historic values lower than the current bar low are displayed filtering out (by highlighting) the remaining levels for the current bar. Users may choose to use a combination of historic open, low and close values for displaying lower low. The indicator includes two optional filters for filtering out higher highs and lower lows to focus (highlight) the most relevant levels. The filters include KC and a simple price multiplier filter. The latter is enabled by default and recommended. The indicator aims to provide two things; first a simple plot of historic base levels and second as the price moves to highlight the most relevant levels for the current price action. While the indicator works on all timeframes, it was tested with the weekly. Please keep in mind adjusting the timeframe may require the lookback settings to be adjusted to ensure the bars are within range. How should I use this indicator? Traders may use this indicator to gain a visual reference of support and resistance levels from higher periods of time with the most likely levels highlighted in pink and yellow. Replaying the indicator gives a visual show of levels in action and just how very often price action bounces from these highlighted levels. Additional Notes This indicator does increase the max total lines allowed which may impact performance depending on device specs. No alerts or signals for now. Perhaps coming soon...
Indicatore Pine Script®
di thefluffyones
Ticker Correlation Reference IndicatorHello, I am super excited to be releasing this Ticker Correlation assessment indicator. This is a big one so let us get right into it! Inspiration: The inspiration for this indicator came from a similar indicator by Balipour called the Correlation with P-Value and Confidence Interval. It’s a great indicator, you should check it out! I used it quite a lot when looking for correlations; however, there were some limitations to this indicator’s functionality that I wanted. So I decided to make my own indicator that had the functionality I wanted. I have been using this for some time but decided to actual spruce it up a bit and make it user friendly so that I could share it publically. So let me get into what this indicator does and, most importantly, the expanded functionality of this indicator. What it does: This indicator determines the correlation between 2 separate tickers. The user selects the two tickers they wish to compare and it performs a correlation assessment over a defaulted 14 period length and displays the results. However, the indicator takes this much further. The complete functionality of this indicator includes the following: 1. Assesses the correlation of all 4 ticker variables (Open, High, Low and Close) over a user defined period of time (defaulted to 14); 2. Converts both tickers to a Z-Score in order to standardize the data and provide a side by side comparison; 3. Displays areas of high and low correlation between all 4 variables; 4. Looks back over the consistency of the relationship (is correlation consistent among the two tickers or infrequent?); 5. Displays the variance in the correlation (there may be a statistically significant relationship, but if there is a high variance, it means the relationship is unstable); 6. Permits manual conversion between prices; and 7. Determines the degree of statistical significance (be it stable, unstable or non-existent). I will discuss each of these functions below. Function 1: Assesses the correlation of all 4 variables. The only other indicator that does this only determines the correlation of the close price. However, correlation between all 4 variables varies. The correlation between open prices, high prices, low prices and close prices varies in statistically significant ways. As such, this indicator plots the correlation of all 4 ticker variables and displays each correlation. Assessing this matters because sometimes a stock may not have the same magnitude in highs and lows as another stock (one stock may be more bullish, i.e. attain higher highs in comparison to another stock). Close price is helpful but does not pain the full picture. As such, the indicator displays the correlation relationship between all 4 variables (image below): Function 2: Converts both tickers to Z-Score Z-Score is a way of standardizing data. It simply measures how far a stock is trading in relation to its mean. As such, it is a way to express both tickers on a level playing field. Z-Score was also chosen because the Z-Score Values (0 – 4) also provide an appropriate scale to plot correlation lines (which range from 0 to 1). The primary ticker (Ticker 1) is plotted in blue, the secondary comparison ticker (Ticker 2) is plotted in a colour changing format (which will be discussed below). See the image below: Function 3: Displays areas of high and low correlation While Ticker 1 is plotted in a static blue, Ticker 2 (the comparison ticker) is plotted in a dynamic, colour changing format. It will display areas of high correlation (i.e. areas with a P value greater than or equal to 0.9 or less than and equal to -0.9) in green, areas of moderate correlation in white. Areas of low correlation (between 0.4 and 0 or -0.4 and 0) are in red. (see image below): Function 4: Checks consistency of relationship While at the time of assessing a stock there very well maybe a high correlation, whether that correlation is consistent or not is the question. The indicator employs the use of the SMA function to plot the average correlation over a defined period of time. If the correlation is consistently high, the SMA should be within an area of statistical significance (over 0.5 or under -0.5). If the relationship is inconsistent, the SMA will read a lower value than the actual correlation. You can see an example of this when you compare ETH to Tezos in the image below: You can see that the correlation between ETH and Tezo’s on the high level seems to be inconsistent. While the current correlation is significant, the SMA is showing that the average correlation between the highs is actually less than 0.5. The indicator also tells the user narratively the degree of consistency in the statistical relationship. This will be discussed later. Function 5: Displays the variance When it comes to correlation, variance is important. Variance simply means the distance between the highest and lowest value. The indicator assess the variance. A high degree of variance (i.e. a number surpassing 0.5 or greater) generally means the consistency and stability of the relationship is in issue. If there is a high variance, it means that the two tickers, while seemingly significantly correlated, tend to deviate from each other quite extensively. The indicator will tell the user the variance in the narrative bar at the bottom of the chart (see image below): Function 6: Permits manual conversion of price One thing that I frequently want and like to do is convert prices between tickers. If I am looking at SPX and I want to calculate a price on SPY, I want to be able to do that quickly. This indicator permits you to do that by employing a regression based formula to convert Ticker 1 to Ticker 2. The user can actually input which variable they would like to convert, whether they want to convert Ticker 1 Close to Ticker 2 Close, or Ticker 1 High to Ticker 2 High, or low or open. To do this, open the settings and click “Permit Manual Conversion”. This will then take the current Ticker 1 Close price and convert it to Ticker 2 based on the regression calculations. If you want to know what a specific price on Ticker 1 is on Ticker 2, simply click the “Allow Manual Price Input” variable and type in the price of Ticker 1 you want to know on Ticker 2. It will perform the calculation for you and will also list the standard error of the calculation. Below is an example of calculating a SPY price using SPX data: Above, the indicator was asked to convert an SPX price of 4,100 to a SPY price. The result was 408.83 with a standard error of 4.31, meaning we can expect 4,100 to fall within 408.83 +/- 4.31 on SPY. Function 7: Determines the degree of statistical significance The indicator will provide the user with a narrative output of the degree of statistical significance. The indicator looks beyond simply what the correlation is at the time of the assessment. It uses the SMA and the highest and lowest function to make an assessment of the stability of the statistical relationship and then indicates this to the user. Below is an example of IWM compared to SPY: You will see, the indicator indicates that, while there is a statistically significant positive relationship, the relationship is somewhat unstable and inconsistent. Not only does it tell you this, but it indicates the degree of inconsistencies by listing the variance and the range of the inconsistencies. And below is SPY to DIA: SPY to BTCUSD: And finally SPY to USDCAD Currency: Other functions: The indicator will also plot the raw or smoothed correlation result for the Open, High, Low or Close price. The default is to close price and smoothed. Smoothed just means it is displaying the SMA over the raw correlation score. Unsmoothing it will show you the raw correlation score. The user also has the ability to toggle on and off the correlation table and the narrative table so that they can just review the chart (the side by side comparison of the 2 tickers). Customizability All of the functions are customizable for the most part. The user can determine the length of lookback, etc. The default parameters for all are 14. The only thing not customizable is the assessment used for determining the stability of a statistical relationship (set at 100 candle lookback) and the regression analysis used to convert price (10 candle lookback). User Notes and important application tips: #1: If using the manual calculation function to convert price, it is recommended to use this on the hourly or daily chart. #2: Leaving pre-market data on can cause some errors. It is recommended to use the indicator with regular market hours enabled and extended market hours disabled. #3: No ticker is off limits. You can compare anything against anything! Have fun with it and experiment! Non-Indicator Specific Discussions: Why does correlation between stocks mater? This can matter for a number of reasons. For investors, it is good to diversify your portfolio and have a good array of stocks that operate somewhat independently of each other. This will allow you to see how your investments compare to each other and the degree of the relationship. Another function may be getting exposure to more expensive tickers. I am guilty of trading IWM to gain exposure to SPY at a reduced cost basis :-). What is a statistically significant correlation? The rule of thumb is anything 0.5 or greater is considered statistically significant. The ideal setup is 0.9 or more as the effect is almost identical. That said, a lot of factors play into statistical significance. For example, the consistency and variance are 2 important factors most do not consider when ascertaining significance. Perhaps IWM and SPY are significantly correlated today, but is that a reliable relationship and can that be counted on as a rule? These are things that should be considered when trading one ticker against another and these are things that I have attempted to address with this indicator! Final notes: I know I usually do tutorial videos. I have not done one here, but I will. Check back later for this. I hope you enjoy the indicator and please feel free to share your thoughts and suggestions! Safe trades all!
Indicatore Pine Script®
di Steversteves
4
The Strat [LuxAlgo]The Strat indicator is a full toolkit regarding most of the concepts within "The Strat" methodology with features such as candle numbering, pivot machine gun (PMG) highlighting, custom combo highlighting, and various statistics included. Alerts are also included for the detection of specific candle numbers, custom combos, and PMGs. 🔶 SETTINGS Show Numbers on Chart: Shows candle numbering on the chart. Style Candles: Style candles based on the detected number. Only effective on non-line charts and if the script is brought to the front. 🔹 Custom Combo Search Combo: User defined combo to be searched by the script. Combos can be composed of any series of numbers including (1, 2, -2, 3), e.g : 2-21. No spaces or other characters should be used. 🔹 Pivot Machine Gun Show Labels: Highlight detected PMGs with a label. Min Sequence Length: Minimum sequence length of consecutive higher lows/lower highs required to detect a PMG. Min Breaks: Minimum amount of broken previous highs/lows required to detect a PMG. Show Levels: Show levels of the broken highs/lows. 🔹 Pivot Combos Pivot Lookback: Lookback period used for detecting pivot points. Right Bars Scan: Number of bars scanned to the right side of a detected pivot. Left Bars Scan: Number of bars scanned to the left side of a detected pivot. 🔹 Dashboard Show Dashboard: Displays statistics dashboard on chart. Numbers Counter: Displays the numbers counter section on the dashboard. Pivot Combos: Displays pivots combo section on the dashboard. %: Display the percentage of detected pivot combos on the dashboard instead of absolute numbers. Pivot Combos Rows: Number of rows displayed by the "Pivots Combo" dashboard section. Show MTF: Showa MTF candle numbering on the dashboard. Location: Location of the dashboard on the chart. Size: Size of the displayed dashboard. 🔶 USAGE This script allows users with an understanding of The Strat to quickly highlight elements such as candle numbers, pivot machine guns, and custom combos. The usage for these concepts is given in the sub-sections below. 🔹 Candle Numbers The Strat assigns a number to individual candles, this number is determined by the current candle position relative to the precedent candle, these include: Number 1 - Inside bar, occurs when the previous candle range engulfs the current one. Number 2 Up - Upside Directional Bar, occurs when the current price high breaks the previous high while the current low is lower than the previous high. Number 2 Down - Downside Directional Bar, occurs when the current price low breaks the previous low while the current high is higher than the previous low. Number 3 - Outside bar, occurs when the current candle range engulfs the previous one. The script can highlight the number of a candle by using labels but can also style candles by depending on the candle number. Inside bars (1) only have their candle wick highlighted, directional bars (2) (-2) only have their candle body highlighted. Outside bars have their candle range highlighted. Note that downside directional bars are highlighted with the number -2. Users can see the total amount of times a specific candle number is detected on the historical data on the dashboard available within the settings, as well as the number of times a candle number is detected relative to the total amount of detected candle numbers expressed as a percentage. It is also possible to see the current candle numbers returned by multiple timeframes on the dashboard. 🔹 Searching For Custom Combos Combos are made of a sequence of two or more candle numbers. These combos can highlight multiple reversals/continuation scenarios. Various common combos are documented by The Strat community. This script allows users to search for custom combos by entering them on the Combo user setting field. When a user combo is found, it is highlighted on the chart as a box highlighting the combo range. 🔹 Pivot Combos It can be of interest to a user to display the combo associated with a pivot high/low. This script will highlight the location of pivot points on the chart and display its associated combo by default. These are based on the Pivot Combo lookback and not displayed in real-time. Users can see on the dashboard the combos associated with a pivot high/low, these are ranked by frequency. 🔹 Pivot Machine Gun (PMG) Pivot Machine Guns (PMG)s describe the scenario where a single price variation breaks the value of multiple past successive higher lows/lower highs. This can highlight a self-exciting behavior, where even more past successive higher lows/lower highs get broken. Users can select the minimum sequence length of successive higher lows/lower highs required for a PMG to be detected, as well the amount of these successive higher lows/lower highs that must be broken.
Indicatore Pine Script®
di LuxAlgo
30
VisibleChart█   OVERVIEW This library is a Pine programmer’s tool containing functions that return values calculated from the range of visible bars on the chart. This is now possible in Pine Script™ thanks to the recently-released chart.left_visible_bar_time and chart.right_visible_bar_time built-ins, which return the opening time of the leftmost and rightmost bars on the chart. These values update as traders scroll or zoom their charts, which gives way to a class of indicators that can dynamically recalculate and draw visuals on visible bars only, as users scroll or zoom their charts. We hope this library's functions help you make the most of the world of possibilities these new built-ins provide for Pine scripts. For an example of a script using this library, have a look at the Chart ​VWAP indicator. █   CONCEPTS Chart properties The new chart.left_visible_bar_time and chart.right_visible_bar_time variables return the opening time of the leftmost and rightmost bars on the chart. They are only two of many new built-ins in the `chart.*` namespace. See this blog post for more information, or look them up by typing "chart." in the Pine Script™ Reference Manual . Dynamic recalculation of scripts on visible bars Any script using chart.left_visible_bar_time or chart.right_visible_bar_time acquires a unique property, which triggers its recalculation when traders scroll or zoom their charts in such a way that the range of visible bars on the chart changes. This library's functions use the two recent built-ins to derive various values from the range of visible bars. Designing your scripts for dynamic recalculation For the library's functions to work correctly, they must be called on every bar. For reliable results, assign their results to global variables and then use the variables locally where needed — not the raw function calls. Some functions like `barIsVisible()` or `open()` will return a value starting on the leftmost visible bar. Others such as `high()` or `low()` will also return a value starting on the leftmost visible bar, but their correct value can only be known on the rightmost visible bar, after all visible bars have been analyzed by the script. You can plot values as the script executes on visible bars, but efficient code will, when possible, create resource-intensive labels, lines or tables only once in the global ​scope using var , and then use the setter functions to modify their properties on the last bar only. The example code included in this library uses this method. Keep in mind that when your script uses chart.left_visible_bar_time or chart.right_visible_bar_time , your script will recalculate on all bars each time the user scrolls or zooms their chart. To provide script users with the best experience you should strive to keep calculations to a minimum and use efficient code so that traders are not always waiting for your script to recalculate every time they scroll or zoom their chart. Another aspect to consider is the fact that the rightmost visible bar will not always be the last bar in the dataset. When script users scroll back in time, a large portion of the time series the script calculates on may be situated after the rightmost visible bar. We can never assume the rightmost visible bar is also the last bar of the time series. Use `barIsVisible()` to restrict calculations to visible bars, but also consider that your script can continue to execute past them. Look first. Then leap. █   FUNCTIONS The library contains the following functions: barIsVisible()   Condition to determine if a given bar is within the users visible time range.   Returns: (bool) True if the the calling bar is between the `chart.left_visible_bar_time` and the `chart.right_visible_bar_time`. high()   Determines the value of the highest `high` in visible bars.   Returns: (float) The maximum high value of visible chart bars. highBarIndex()   Determines the `bar_index` of the highest `high` in visible bars.   Returns: (int) The `bar_index` of the `high()`. highBarTime()   Determines the bar time of the highest `high` in visible bars.   Returns: (int) The `time` of the `high()`. low()   Determines the value of the lowest `low` in visible bars.   Returns: (float) The minimum low value of visible chart bars. lowBarIndex()   Determines the `bar_index` of the lowest `low` in visible bars.   Returns: (int) The `bar_index` of the `low()`. lowBarTime()   Determines the bar time of the lowest `low` in visible bars.   Returns: (int) The `time` of the `low()`. open()   Determines the value of the opening price in the visible chart time range.   Returns: (float) The `open` of the leftmost visible chart bar. close()   Determines the value of the closing price in the visible chart time range.   Returns: (float) The `close` of the rightmost visible chart bar. leftBarIndex()   Determines the `bar_index` of the leftmost visible chart bar.   Returns: (int) A `bar_index`. rightBarIndex()   Determines the `bar_index` of the rightmost visible chart bar.   Returns: (int) A `bar_index` bars()   Determines the number of visible chart bars.   Returns: (int) The number of bars. volume()   Determines the sum of volume of all visible chart bars.   Returns: (float) The cumulative sum of volume. ohlcv()   Determines the open, high, low, close, and volume sum of the visible bar time range.   Returns: ( ) A tuple of the OHLCV values for the visible chart bars. Example: open is chart left, high is the highest visible high, etc. chartYPct(​pct)   Determines a price level as a percentage of the visible bar price range, which depends on the chart's top/bottom margins in "Settings/Appearance".   Parameters:      pct : (series float) Percentage of the visible price range (50 is 50%). Negative values are allowed.   Returns: (float) A price level equal to the `pct` of the price range between the high and low of visible chart bars. Example: 50 is halfway between the visible high and low. chartXTimePct(​pct)   Determines a time as a percentage of the visible bar time range.   Parameters:      pct : (series float) Percentage of the visible time range (50 is 50%). Negative values are allowed.   Returns: (float) A time in UNIX format equal to the `pct` of the time range from the `chart.left_visible_bar_time` to the `chart.right_visible_bar_time`. Example: 50 is halfway from the leftmost visible bar to the rightmost. chartXIndexPct(​pct)   Determines a `bar_index` as a percentage of the visible bar time range.   Parameters:      pct : (series float) Percentage of the visible time range (50 is 50%). Negative values are allowed.   Returns: (float) A time in UNIX format equal to the `pct` of the time range from the `chart.left_visible_bar_time` to the `chart.right_visible_bar_time`. Example: 50 is halfway from the leftmost visible bar to the rightmost. whenVisible(​src, whenCond, length)   Creates an array containing the `length` last `src` values where `whenCond` is true for visible chart bars.   Parameters:      src : (series int/float) The source of the values to be included.      whenCond : (series bool) The condition determining which values are included. Optional. The default is `true`.      length : (simple int) The number of last values to return. Optional. The default is all values.   Returns: (float ) The array ID of the accumulated `src` values. avg(​src)   Gathers values of the source over visible chart bars and averages them.   Parameters:      src : (series int/float) The source of the values to be averaged. Optional. Default is `close`.   Returns: (float) A cumulative average of values for the visible time range. median(​src)   Calculates the median of a source over visible chart bars.   Parameters:      src : (series int/float) The source of the values. Optional. Default is `close`.   Returns: (float) The median of the `src` for the visible time range. vVwap(​src)   Calculates a volume-weighted average for visible chart bars.   Parameters:      src : (series int/float) Source used for the ​VWAP calculation. Optional. Default is `hlc3`.   Returns: (float) The ​VWAP for the visible time range.
Libreria Pine Script®
di PineCoders
63
Rabbit HoleHow deep is the Rabbit hole? Interesting experiment that finds the RISING HIGHS and FALLING LOWS and place the difference between the highs and lows into separate arrays. == Calculations == In case current high is higher than previous high, we calculate the value by subtracting the current highest high with the previous High (lowest high) into array A, same method for the lows just in Array B. Since we subtract highs and lows it means velocity is taken into consideration with the plotting. After adding a new value we remove the oldest value if the array is bigger than the Look back length. This is done for both lows and highs array. Afterwards we sum up the lows and highs array (separately) and plot them separately, We can also smooth them a bit with Moving averages like HMA, JMA, KAMA and more. == RULES == When High Lines crosses the Low Line we get a GREEN tunnel. When Low Lines crosses the High line we get the RED tunnel. The Greenish the stronger the up trend. The Redish the stronger the downtrend. == NOTES == Bars are not colored by default. Better for higher time frames, 1 hour and above. Enjoy and like if you like! Follow up for new scripts: www.tradingview.com
Indicatore Pine Script®
di dman103
5
Global Sessions Pro NY/London/Tokyo - O/C/H/LGLOBAL SESSIONS PRO — NY / LONDON / TOKYO Session Opens, Highs, Lows, Midpoints, Closes, Ranges & Killzones OVERVIEW Global Sessions Pro is a comprehensive session-mapping indicator designed for traders who rely on market structure, session context, and time-based behavior. The indicator automatically plots New York, London, and Tokyo sessions, including: • Session Open, High, Low, Midpoint, and Close • Prior session levels projected forward • Session range boxes • Right-side labeled price levels (clearly identified) • Stacked session summary labels (no overlap) • Optional killzones and overlap windows • Breakout alerts (prior or current session levels) The script is fully timezone-aware, DST-safe, and works on any chart timeframe. KEY FEATURES SESSION MAPPING For each session (NY / London / Tokyo), the indicator can display: • Open • High • Low • Midpoint (High + Low) / 2 • Close Each level is drawn with its own horizontal line and optional right-side label, so there is never confusion about which line represents which level. SESSION RANGE BOXES Optional shaded boxes highlight the true session range as it develops in real time. These are useful for visualizing: • Compression vs expansion • Relative session volatility • Strength or weakness between sessions Opacity and visibility are fully configurable. RIGHT-SIDE LEVEL LABELS Each session level can be labeled on the right edge of the chart, showing: • Session name (NY / Lon / Tok) • Level type (O / H / L / M / C) • Optional price value Examples: NY H: 18234.25 Lon L: 18098.50 Tok M: 18142.75 This eliminates ambiguity when multiple session levels overlap or share similar colors. SESSION SUMMARY LABELS (AUTO-STACKED) At the top of each session range, an optional summary label displays: • Session name • Open / High / Low / Close • Total range (points) • Range in ticks • ATR multiple Summary labels are automatically stacked vertically using ATR-based or tick-based spacing, preventing overlap even when multiple sessions occur close together. PRIOR SESSION LEVELS The indicator can project prior session levels into the next session, including: • Prior High and Low • Optional prior Open, Close, and Midpoint These levels are commonly used for: • Support and resistance • Liquidity sweeps • Mean reversion • Failed breakouts Projection length is configurable and safely capped to comply with TradingView drawing limits. KILLZONES AND SESSION OVERLAPS Optional background shading highlights key institutional windows: • London Open • New York Open • London / New York overlap These zones help identify high-probability volatility windows and time-based trade filters. All killzones respect the selected session timezone basis. ALERTS Built-in alerts are available for: • Break of prior session high • Break of prior session low • Break of current session high • Break of current session low Alerts can be configured to trigger on wick or close. Alert logic is written using precomputed crossover detection to ensure historical consistency and avoid missed or false alerts. TIMEZONE AND SESSION HANDLING (IMPORTANT) SESSION TIME BASIS OPTIONS The indicator supports three session-time modes: Market Local (DST-aware) – Recommended • New York uses America/New_York • London uses Europe/London • Tokyo uses Asia/Tokyo • Automatically adjusts for daylight saving time UTC (Fixed) • Sessions are interpreted strictly in UTC • Best for crypto or non-DST workflows • Requires manual adjustment during DST changes Custom Timezone • Define a single custom timezone for all sessions This ensures sessions display correctly regardless of the chart’s timezone. DEFAULT SESSION TIMES (Default values assume Market Local (DST-aware) mode) Tokyo: 09:00 – 15:00 London: 08:00 – 16:30 New York: 09:30 – 16:00 These defaults are optimized for cash and index trading. FX traders may adjust session windows as needed. BEST USE CASES This indicator is particularly effective for: • Index futures (ES, NQ, RTY, DAX, FTSE) • Forex session-based strategies • Time-based breakout systems • Liquidity sweep and mean-reversion models • London Open and New York Open trading • Multi-session market context analysis PERFORMANCE AND SAFETY NOTES • All future-drawn objects are capped to comply with TradingView limits • Crossover logic is evaluated every bar to prevent calculation drift • Old session drawings are automatically culled to reduce chart clutter • Works on all intraday and higher timeframes RECOMMENDED SETTINGS For most traders: • Session Time Basis: Market Local (DST-aware) • Show Open / High / Low / Midpoint: ON • Prior Session Levels: ON • Summary Labels: ON • Killzones: ON • Alerts: ON (Close-based) FINAL NOTES This indicator is designed to provide objective session structure without opinionated trade signals. It works best as a context layer combined with your own execution rules, confirmations, and risk management. If you trade time, structure, and liquidity, this script provides the framework.
Indicatore Pine Script®
di valmont33
ICT Liquidity Sweep/Swing Fail Pattern V.1# ICT Liquidity Sweep/Swing Fail Pattern V.1 ## Indicator Description & User Guide --- ## 📊 Indicator Overview **Name:** ICT Liquidity Sweep/Swing Fail Pattern V.1 **Type:** Support/Resistance & Liquidity Detection **Trading Style:** ICT Concepts (Inner Circle Trader) **Best Timeframes:** 1M, 5M, 15M, 1H --- ## 🎯 Core Features ### 1. **Support & Resistance Lines** - Automatically draws key swing high and swing low levels - Based on significant pivot points in price structure - Updates dynamically as new swings form ### 2. **"X" Mark - Liquidity Sweep** - **Symbol:** X marker on chart - **Meaning:** Indicates a liquidity sweep (stop hunt) - **What it shows:** Price briefly moved beyond a key level to trigger stops, then reversed - **Trading significance:** High-probability reversal zones after liquidity is taken ### 3. **"SFP" Label - Swing Failure Pattern** - **Symbol:** SFP text label - **Meaning:** Swing Failure Pattern detected - **What it shows:** Price attempted to make a new high/low but failed and reversed sharply - **Trading significance:** Strong reversal signal - smart money rejecting the level --- ## 📈 How to Use This Indicator ### Entry Setup Strategy: #### **For SHORT Trades (Sell):** 1. Wait for **SFP** to appear at a swing high 2. Look for **X marker** confirming liquidity sweep above the high 3. **Entry Zone (Red Box):** Enter SHORT positions when price returns to this zone 4. **Stop Loss:** Place above the red zone (above the swept high) 5. **Take Profit (Green Box):** Target the green zone below #### **For LONG Trades (Buy):** 1. Wait for **SFP** to appear at a swing low 2. Look for **X marker** confirming liquidity sweep below the low 3. **Entry Zone (Green Box):** Enter LONG positions when price returns to this zone 4. **Stop Loss:** Place below the green zone (below the swept low) 5. **Take Profit (Red Box):** Target the red zone above --- ## 🎨 Color Coding System | Color | Zone Type | Usage | |-------|-----------|-------| | 🔴 **Red Box** | Stop Loss / Supply Zone | Place SL here for LONG trades / Entry zone for SHORT trades | | 🟢 **Green Box** | Take Profit / Demand Zone | Target zone for LONG trades / Place SL here for SHORT trades | | ❌ **X Mark** | Liquidity Sweep Point | Stop hunt occurred - reversal likely | | 📝 **SFP Label** | Swing Failure Pattern | Failed breakout - strong reversal signal | --- ## 💡 Trading Examples ### Example 1: SHORT Trade (As shown in your chart) ``` 1. SFP appears at swing high (Red zone around 4,000) 2. X marker confirms liquidity sweep above the high 3. Entry: SHORT when price re-enters red zone 4. Stop Loss: Above red zone (e.g., 4,002) 5. Take Profit: Green zone below (3,964-3,972) 6. Risk:Reward = 1:3+ ``` ### Example 2: LONG Trade ``` 1. SFP appears at swing low (Green zone) 2. X marker confirms liquidity sweep below the low 3. Entry: LONG when price re-enters green zone 4. Stop Loss: Below green zone 5. Take Profit: Previous red zone above 6. Risk:Reward = 1:2 minimum ``` --- ## ⚠️ Important Trading Rules ### ✅ DO: - Wait for BOTH SFP and X marker confirmation - Enter on price returning to the zone (not on first touch) - Use proper position sizing (1-2% risk per trade) - Combine with market structure analysis - Look for confluences (orderblocks, fair value gaps) ### ❌ DON'T: - Trade against the higher timeframe trend - Enter without confirmation signals - Ignore the colored zones for SL/TP placement - Overtrade - wait for quality setups - Move stop loss to breakeven too early --- ## 🔧 Indicator Settings (Typical) **Adjustable Parameters:** - Swing Length: Number of bars to identify swing points - Show/Hide X markers - Show/Hide SFP labels - Zone opacity and colors - Line thickness --- ## 📚 ICT Concepts Explained ### **Liquidity Sweep:** Smart money intentionally pushes price beyond key levels to trigger retail stop losses, then reverses to their intended direction. The X marker identifies these moments. ### **Swing Failure Pattern (SFP):** Price attempts to make a new high/low but lacks follow-through, indicating weak momentum and likely reversal. Similar to a "false breakout" but more specific to swing structures. ### **Supply & Demand Zones:** - **Red zones** = Areas where selling pressure overwhelmed buyers - **Green zones** = Areas where buying pressure overwhelmed sellers - These zones act as magnets for price to return and react --- ## 🎓 Best Practices 1. **Confluence is Key:** - Combine with daily/weekly bias - Check for orderblocks nearby - Look for imbalances (FVG) 2. **Session Timing:** - Best during London/New York sessions - Avoid low liquidity periods 3. **Risk Management:** - Never risk more than 1-2% per trade - Use proper lot sizing - Take partial profits at key levels 4. **Timeframe Correlation:** - Check higher timeframe for bias - Enter on lower timeframe for precision - Exit based on higher timeframe targets --- ## 📞 Support & Updates **Version:** 1.0 **Compatibility:** TradingView Pine Script v5 **Updates:** Regular improvements based on ICT methodology --- ## ⚡ Quick Reference Card | Signal | Action | SL Placement | TP Target | |--------|--------|--------------|-----------| | SFP + X at High | SHORT at Red Zone | Above Red | Green Zone | | SFP + X at Low | LONG at Green Zone | Below Green | Red Zone | **Remember:** The indicator shows you WHERE to trade, but YOU decide WHEN based on confirmation and market context. --- *Disclaimer: This indicator is a tool for technical analysis. Always use proper risk management and never trade with money you cannot afford to lose.*
Indicatore Pine Script®
di wut_trader
5
AI-based Price action confluence dashboard# **AI-Based Price Action Confluence Dashboard - Publication Guide** Here's a comprehensive introduction guide for your TradingView indicator publication: *** ## **📊 TITLE** **AI-Based Price Action Confluence Dashboard** *** ## **🎯 SHORT DESCRIPTION** (For the summary field) A sophisticated real-time confluence scoring system that analyzes multiple price action signals across 15-minute timeframes, providing traders with an AI-weighted scoring mechanism (0-6 scale) to identify high-probability trade setups through visual signal panels and intelligent path detection. *** ## **📝 FULL DESCRIPTION** ### **Overview** The AI-Based Price Action Confluence Dashboard is an advanced technical indicator designed to eliminate guesswork in intraday trading by systematically scoring and displaying multiple price action signals in real-time. Unlike traditional single-indicator approaches, this dashboard employs a confluence methodology that combines multiple independent signals to provide stronger trade confirmations and reduce false signals. This indicator is specifically optimized for **1-minute chart analysis** while monitoring **15-minute price structure**, making it ideal for day traders and scalpers who need precise entry timing with larger timeframe context. *** ### **🔑 Key Features** **✅ Real-Time AI Confluence Scoring** - Dynamic scoring system (0-6 points) for both bullish and bearish setups - Visual meter display shows signal strength at a glance - Color-coded backgrounds indicate confluence levels (strong, moderate, mixed) **✅ Multi-Signal Analysis** The dashboard tracks 6 distinct signal types: 1. **FTFC (First to Finish Close)** - Base & Bonus signals 2. **Long/Short Grab** - Liquidity sweep patterns (Path A) 3. **High/Low Hold** - Extended momentum confirmation (+2 bonus) 4. **2-Up/2-Down** - Clean breakout patterns (Path B) 5. **Breakaway** - First candle gap strategies **✅ Intelligent Path Detection** - Mutually exclusive path logic prevents signal conflicts - Automatically identifies whether price is following a "sweep path" or "clean path" - Unavailable paths are clearly marked with gray indicators **✅ Visual Signal Panels** - 🟢 Green Light = Bullish signal ACTIVE - 🔴 Red Light = Bearish signal ACTIVE - 🟡 Yellow Light = Signal BUILDING (conditions partially met) - ⚪ White Light = Signal OFF - ▪️ Gray Square = Path UNAVAILABLE (mutually exclusive) **✅ Comprehensive Alert System** - 10 different alert conditions covering all major signals - Strong confluence alerts (5+ points) - Individual signal completion alerts - Customizable alert messages *** ### **📐 How It Works** #### **The Confluence Methodology** This indicator implements a sophisticated confluence trading approach where multiple independent price action signals are combined to identify high-probability setups. Each signal type contributes points to either the bullish or bearish score, with a maximum of 6 points per direction. **Scoring Breakdown:** **BULLISH SIGNALS:** - FTFC Base (15m close > previous 15m close) = +1 - FTFC Bonus (price clears 15th candle high) = +1 - **PATH A (Sweep):** Long Grab = +1, High Hold Bonus = +2 - **PATH B (Clean):** 2-Up = +1, 2-Up Bonus = +1 - Breakaway (gap above first candle) = +1 **BEARISH SIGNALS:** - FTFC Base (15m close < previous 15m close) = +1 - FTFC Bonus (price clears 15th candle low) = +1 - **PATH A (Sweep):** Short Grab = +1, Low Hold Bonus = +2 - **PATH B (Clean):** 2-Down = +1, 2-Down Bonus = +1 - Breakaway (gap below first candle) = +1 #### **Path Detection Logic** The indicator automatically determines which path the market is following: **PATH A: SWEEP PATH** - Activated when previous 15m low (bull) or high (bear) is breached - Indicates liquidity grab before reversal - Includes powerful +2 bonus for "Hold" confirmations - Mutually exclusive with Path B **PATH B: CLEAN PATH** - Activated when previous 15m low (bull) or high (bear) holds - Indicates strong directional momentum without sweep - Cleaner price action but smaller point potential - Mutually exclusive with Path A This mutual exclusivity prevents double-counting and ensures signal accuracy. *** ### **🎨 How to Use** #### **Installation** 1. Add indicator to your 1-minute chart 2. The dashboard appears as a table overlay (default: top right) 3. No additional indicators required - this is a complete system #### **Reading the Dashboard** **Top Section - Confluence Meter:** - Shows current bull/bear scores with visual dot meters - Background color changes based on confluence strength: - **Bright Green/Red** = 5+ points (strong directional bias) - **Medium Green/Red** = 3+ points (moderate bias) - **Orange** = 3+ points both sides (conflicting signals) - **Gray** = Low confluence (choppy conditions) **Signal Panels Section:** - Each row shows a signal type with bull/bear lights side-by-side - Active signals (🟢🔴) contribute to the total score - Building signals (🟡) indicate potential setups forming - Unavailable paths (▪️) show which exclusive path is blocked #### **Trading Strategy** **High-Probability Long Entries:** - Bull score ≥ 5 AND bear score ≤ 1 - Multiple green lights active in signal panels - PATH A or PATH B showing full completion - Consider entry on pullback to key 15m level **High-Probability Short Entries:** - Bear score ≥ 5 AND bull score ≤ 1 - Multiple red lights active in signal panels - PATH A or PATH B showing full completion - Consider entry on rally to key 15m level **Avoid Trading When:** - Both scores are 3+ (conflicting signals) - No path is showing active/building status - Score is below 3 on both sides (low confluence) #### **Risk Management** - Use 15m swing high/low for stop placement - Target opposing 15m level or previous session extremes - Scale out at partial targets when confluence decreases - Best results when combined with proper position sizing *** ### **⚙️ Customization** **Dashboard Settings:** - **Table Location:** Top Left, Top Right, Bottom Left, Bottom Right - **Text Size:** Tiny, Small, Normal, Large **Color Scheme:** - **Bullish Color:** Customize green for bull signals (default: #00cc66) - **Bearish Color:** Customize red for bear signals (default: #ff4444) - **Building Color:** Customize yellow for forming signals (default: #ffaa00) - **Inactive Color:** Customize gray for off signals (default: #555555) - **Unavailable Color:** Customize dark gray for blocked paths (default: #333333) All colors can be adjusted to match your chart theme or visual preferences. *** ### **🎯 Best Practices** 1. **Use on 1-minute charts only** - The indicator is calibrated for this timeframe 2. **Trade during liquid sessions** - Best results during NY/London overlap 3. **Wait for 3+ confluence** - Minimum threshold for trade consideration 4. **Watch path transitions** - Signal strength changes when paths flip 5. **Use alerts strategically** - Set alerts for 5+ confluence to catch strong setups 6. **Combine with volume** - High volume confirms signal validity 7. **Respect 15m structure** - Don't fight the larger timeframe bias *** ### **⚠️ Important Notes** - This indicator is designed for **intraday trading only** - Requires active monitoring during trading sessions - Works best on liquid instruments (major forex pairs, indices, large-cap stocks) - Not suitable for swing trading or position trading - Past performance does not guarantee future results - Always use proper risk management and position sizing *** ### **🏷️ Category** **Oscillators** or **Volatility** (choose based on TradingView categories) *** ### **🏷️ Suggested Tags** - confluence - price action - day trading - scalping - intraday - signals - dashboard - multi-timeframe - 1-minute - 15-minute *** ### **📜 Disclaimer** This indicator is a tool for technical analysis and should not be used as the sole basis for trading decisions. All trading involves risk, and you should never risk more than you can afford to lose. The developer assumes no responsibility for trading losses incurred through the use of this indicator. Always practice proper risk management and consider your own risk tolerance before trading.
Indicatore Pine Script®
di DeLeBlanc
2
Fair Value Gap Signals [Kodexius]Fair Value Gap Signals is an advanced market structure tool that automatically detects and tracks Fair Value Gaps (FVGs), evaluates the quality of each gap, and highlights high value reaction zones with visual metrics and signal markers. The script is designed for traders who focus on liquidity concepts, order flow and mean reversion. It goes beyond basic FVG plotting by continuously monitoring how price interacts with each gap and by quantifying three key aspects of each zone: -Entry velocity inside the gap -Volume absorption during tests -Structural integrity and depth of penetration The result is a dynamic, information rich visualization of which gaps are being respected, which are being absorbed, and where potential reversals or continuations are most likely to occur. All visual elements are configurable, including the maximum number of visible gaps per direction, mitigation method (close or wick) and an ATR based filter to ignore insignificant gaps in low volatility environments. 🔹 Features 🔸 Automated Fair Value Gap Detection The script detects both bullish and bearish FVGs based on classic three candle logic: Bullish FVG: current low is strictly above the high from two bars ago Bearish FVG: current high is strictly below the low from two bars ago 🔸 ATR Based Gap Filter To avoid clutter and low quality signals, the script can ignore very small gaps using an ATR based filter. 🔸Per Gap State Machine and Lifecycle Each gap is tracked with an internal status: Fresh: gap has just formed and has not been tested Testing: price is currently trading inside the gap Tested: gap was tested and left, waiting for a potential new test Rejected: price entered the gap and then rejected away from it Filled: gap is considered fully mitigated and no longer active This state machine allows the script to distinguish between simple touches, multiple tests and meaningful reversals, and to trigger different alerts accordingly. 🔸 Visual Ranking of Gaps by Metrics For each active gap, three additional horizontal rank bars are drawn on top of the gap area: Rank 1 (Vel): maximum entry velocity inside the gap Rank 2 (Vol): relative test volume compared to average volume Rank 3 (Dpt): remaining safety of the gap based on maximum penetration depth These rank bars extend horizontally from the creation bar, and their length is a visual score between 0 and 1, scaled to the age of the gap. Longer bars represent stronger or more favorable conditions. 🔸Signals and Rejection Markers When a gap shows signs of rejection (price enters the gap and then closes away from it with sufficient activity), the script can print a signal label at the reaction point. These markers summarize the internal metrics of the gap using a tooltip: -Velocity percentage -Volume percentage -Safety score -Number of tests 🔸 Flexible Mitigation Logic (Close or Wick) You can choose how mitigation is defined via the Mitigation Method input: Close: the gap is considered filled only when the closing price crosses the gap boundary Wick: a full fill is detected as soon as any wick crosses the gap boundary 🔸 Alert Conditions -New FVG formed -Price entering a gap (testing) -Gap fully filled and invalidated -Rejection signal generated 🔹Calculations This section summarizes the main calculations used under the hood. Only the core logic is covered. 1. ATR Filter and Gap Size The script uses a configurable ATR length to filter out small gaps. First the ATR is computed: float atrVal = ta.atr(atrLength) Gap size for both directions is then measured: float gapSizeBull = low - high float gapSizeBear = low - high If useAtrFilter is enabled, gaps smaller than atrVal are ignored. This ties the minimum gap size to the current volatility regime. 2. Fair Value Gap Detection The basic FVG conditions use a three bar structure: bool fvgBull = low > high bool fvgBear = high < low For bullish gaps the script stores: -top as low of the current bar -bottom as high For bearish gaps: -top as high of the current bar -bottom as low This defines the price range that is considered the imbalance area. 3. Depth and Safety Score Depth measures how far price has penetrated into the gap since its creation. For each bar, the script computes a currentDepth and updates the maximum depth: float currentDepth = 0.0 if g.isBullish if l < g.top currentDepth := g.top - l else if h > g.bottom currentDepth := h - g.bottom if currentDepth > g.maxDepth g.maxDepth := currentDepth The safety score expresses how much of the gap remains intact: float depthRatio = g.maxDepth / gapSize float safetyScore = math.max(0.0, 1.0 - depthRatio) safetyScore near 1: gap is mostly untouched safetyScore near 0: gap is mostly or fully filled 4. Velocity Metric Velocity captures how aggressively price moves inside the gap. It is based on the body to range ratio of each bar that trades within the gap and rewards bars that move in the same direction as the gap: float barRange = h - l float bodyRatio = math.abs(close - open) / barRange float directionBonus = 0.0 if g.isBullish and close > open directionBonus := 0.2 else if not g.isBullish and close < open directionBonus := 0.2 float currentVelocity = math.min(bodyRatio + directionBonus, 1.0) The gap keeps track of the strongest observed value: if currentVelocity > g.maxVelocity g.maxVelocity := currentVelocity This maximum is later used as velScore when building the velocity rank bar. 5. Volume Accumulation and Volume Score While price is trading inside a gap, the script accumulates the traded volume: if isInside g.testVolume += volume It also keeps track of the number of tests and the volume at the start of the first test: if g.status == "Fresh" g.status := "Testing" g.testCount := 1 g.testStartVolume := volume An average volume is computed using a 20 period SMA: float volAvg = ta.sma(volume, 20) The expected volume is approximated as: float expectedVol = volAvg * math.max(1, (bar_index - g.index) / 2) The volume score is then: float volScore = math.min(g.testVolume / expectedVol, 1.0) This produces a normalized 0 to 1 metric that shows whether the gap has attracted more or less volume than expected over its lifetime. 6. Rank Bar Scaling All three scores are projected visually along the time axis as horizontal bars. The script uses the age of the gap in bars as the maximum width: float maxWidth = math.max(bar_index - g.index, 1) Then each metric is mapped to a bar length: int len1 = int(math.max(1, maxWidth * velScore)) g.rankBox1.set_right(g.index + len1) int len2 = int(math.max(1, maxWidth * volScore)) g.rankBox2.set_right(g.index + len2) int len3 = int(math.max(1, maxWidth * safetyScore)) g.rankBox3.set_right(g.index + len3) This creates an intuitive visual representation where stronger metrics produce longer rank bars, making it easy to quickly compare the relative quality of multiple FVGs on the chart.
Indicatore Pine Script®
di Kodexius
Volatility Risk PremiumTHE INSURANCE PREMIUM OF THE STOCK MARKET Every day, millions of investors face a fundamental question that has puzzled economists for decades: how much should protection against market crashes cost? The answer lies in a phenomenon called the Volatility Risk Premium, and understanding it may fundamentally change how you interpret market conditions. Think of the stock market like a neighborhood where homeowners buy insurance against fire. The insurance company charges premiums based on their estimates of fire risk. But here is the interesting part: insurance companies systematically charge more than the actual expected losses. This difference between what people pay and what actually happens is the insurance premium. The same principle operates in financial markets, but instead of fire insurance, investors buy protection against market volatility through options contracts. The Volatility Risk Premium, or VRP, measures exactly this difference. It represents the gap between what the market expects volatility to be (implied volatility, as reflected in options prices) and what volatility actually turns out to be (realized volatility, calculated from actual price movements). This indicator quantifies that gap and transforms it into actionable intelligence. THE FOUNDATION The academic study of volatility risk premiums began gaining serious traction in the early 2000s, though the phenomenon itself had been observed by practitioners for much longer. Three research papers form the backbone of this indicator's methodology. Peter Carr and Liuren Wu published their seminal work "Variance Risk Premiums" in the Review of Financial Studies in 2009. Their research established that variance risk premiums exist across virtually all asset classes and persist over time. They documented that on average, implied volatility exceeds realized volatility by approximately three to four percentage points annualized. This is not a small number. It means that sellers of volatility insurance have historically collected a substantial premium for bearing this risk. Tim Bollerslev, George Tauchen, and Hao Zhou extended this research in their 2009 paper "Expected Stock Returns and Variance Risk Premia," also published in the Review of Financial Studies. Their critical contribution was demonstrating that the VRP is a statistically significant predictor of future equity returns. When the VRP is high, meaning investors are paying substantial premiums for protection, future stock returns tend to be positive. When the VRP collapses or turns negative, it often signals that realized volatility has spiked above expectations, typically during market stress periods. Gurdip Bakshi and Nikunj Kapadia provided additional theoretical grounding in their 2003 paper "Delta-Hedged Gains and the Negative Market Volatility Risk Premium." They demonstrated through careful empirical analysis why volatility sellers are compensated: the risk is not diversifiable and tends to materialize precisely when investors can least afford losses. HOW THE INDICATOR CALCULATES VOLATILITY The calculation begins with two separate measurements that must be compared: implied volatility and realized volatility. For implied volatility, the indicator uses the CBOE Volatility Index, commonly known as the VIX. The VIX represents the market's expectation of 30-day forward volatility on the S&P 500, calculated from a weighted average of out-of-the-money put and call options. It is often called the "fear gauge" because it rises when investors rush to buy protective options. Realized volatility requires more careful consideration. The indicator offers three distinct calculation methods, each with specific advantages rooted in academic literature. The Close-to-Close method is the most straightforward approach. It calculates the standard deviation of logarithmic daily returns over a specified lookback period, then annualizes this figure by multiplying by the square root of 252, the approximate number of trading days in a year. This method is intuitive and widely used, but it only captures information from closing prices and ignores intraday price movements. The Parkinson estimator, developed by Michael Parkinson in 1980, improves efficiency by incorporating high and low prices. The mathematical formula calculates variance as the sum of squared log ratios of daily highs to lows, divided by four times the natural logarithm of two, times the number of observations. This estimator is theoretically about five times more efficient than the close-to-close method because high and low prices contain additional information about the volatility process. The Garman-Klass estimator, published by Mark Garman and Michael Klass in 1980, goes further by incorporating opening, high, low, and closing prices. The formula combines half the squared log ratio of high to low prices minus a factor involving the log ratio of close to open. This method achieves the minimum variance among estimators using only these four price points, making it particularly valuable for markets where intraday information is meaningful. THE CORE VRP CALCULATION Once both volatility measures are obtained, the VRP calculation is straightforward: subtract realized volatility from implied volatility. A positive result means the market is paying a premium for volatility insurance. A negative result means realized volatility has exceeded expectations, typically indicating market stress. The raw VRP signal receives slight smoothing through an exponential moving average to reduce noise while preserving responsiveness. The default smoothing period of five days balances signal clarity against lag. INTERPRETING THE REGIMES The indicator classifies market conditions into five distinct regimes based on VRP levels. The EXTREME regime occurs when VRP exceeds ten percentage points. This represents an unusual situation where the gap between implied and realized volatility is historically wide. Markets are pricing in significantly more fear than is materializing. Research suggests this often precedes positive equity returns as the premium normalizes. The HIGH regime, between five and ten percentage points, indicates elevated risk aversion. Investors are paying above-average premiums for protection. This often occurs after market corrections when fear remains elevated but realized volatility has begun subsiding. The NORMAL regime covers VRP between zero and five percentage points. This represents the long-term average state of markets where implied volatility modestly exceeds realized volatility. The insurance premium is being collected at typical rates. The LOW regime, between negative two and zero percentage points, suggests either unusual complacency or that realized volatility is catching up to implied volatility. The premium is shrinking, which can precede either calm continuation or increased stress. The NEGATIVE regime occurs when realized volatility exceeds implied volatility. This is relatively rare and typically indicates active market stress. Options were priced for less volatility than actually occurred, meaning volatility sellers are experiencing losses. Historically, deeply negative VRP readings have often coincided with market bottoms, though timing the reversal remains challenging. TERM STRUCTURE ANALYSIS Beyond the basic VRP calculation, sophisticated market participants analyze how volatility behaves across different time horizons. The indicator calculates VRP using both short-term (default ten days) and long-term (default sixty days) realized volatility windows. Under normal market conditions, short-term realized volatility tends to be lower than long-term realized volatility. This produces what traders call contango in the term structure, analogous to futures markets where later delivery dates trade at premiums. The RV Slope metric quantifies this relationship. When markets enter stress periods, the term structure often inverts. Short-term realized volatility spikes above long-term realized volatility as markets experience immediate turmoil. This backwardation condition serves as an early warning signal that current volatility is elevated relative to historical norms. The academic foundation for term structure analysis comes from Scott Mixon's 2007 paper "The Implied Volatility Term Structure" in the Journal of Derivatives, which documented the predictive power of term structure dynamics. MEAN REVERSION CHARACTERISTICS One of the most practically useful properties of the VRP is its tendency to mean-revert. Extreme readings, whether high or low, tend to normalize over time. This creates opportunities for systematic trading strategies. The indicator tracks VRP in statistical terms by calculating its Z-score relative to the trailing one-year distribution. A Z-score above two indicates that current VRP is more than two standard deviations above its mean, a statistically unusual condition. Similarly, a Z-score below negative two indicates VRP is unusually low. Mean reversion signals trigger when VRP reaches extreme Z-score levels and then shows initial signs of reversal. A buy signal occurs when VRP recovers from oversold conditions (Z-score below negative two and rising), suggesting that the period of elevated realized volatility may be ending. A sell signal occurs when VRP contracts from overbought conditions (Z-score above two and falling), suggesting the fear premium may be excessive and due for normalization. These signals should not be interpreted as standalone trading recommendations. They indicate probabilistic conditions based on historical patterns. Market context and other factors always matter. MOMENTUM ANALYSIS The rate of change in VRP carries its own information content. Rapidly rising VRP suggests fear is building faster than volatility is materializing, often seen in the early stages of corrections before realized volatility catches up. Rapidly falling VRP indicates either calming conditions or rising realized volatility eating into the premium. The indicator tracks VRP momentum as the difference between current VRP and VRP from a specified number of bars ago. Positive momentum with positive acceleration suggests strengthening risk aversion. Negative momentum with negative acceleration suggests intensifying stress or rapid normalization from elevated levels. PRACTICAL APPLICATION For equity investors, the VRP provides context for risk management decisions. High VRP environments historically favor equity exposure because the market is pricing in more pessimism than typically materializes. Low or negative VRP environments suggest either reducing exposure or hedging, as markets may be underpricing risk. For options traders, understanding VRP is fundamental to strategy selection. Strategies that sell volatility, such as covered calls, cash-secured puts, or iron condors, tend to profit when VRP is elevated and compress toward its mean. Strategies that buy volatility tend to profit when VRP is low and risk materializes. For systematic traders, VRP provides a regime filter for other strategies. Momentum strategies may benefit from different parameters in high versus low VRP environments. Mean reversion strategies in VRP itself can form the basis of a complete trading system. LIMITATIONS AND CONSIDERATIONS No indicator provides perfect foresight, and the VRP is no exception. Several limitations deserve attention. The VRP measures a relationship between two estimates, each subject to measurement error. The VIX represents expectations that may prove incorrect. Realized volatility calculations depend on the chosen method and lookback period. Mean reversion tendencies hold over longer time horizons but provide limited guidance for short-term timing. VRP can remain extreme for extended periods, and mean reversion signals can generate losses if the extremity persists or intensifies. The indicator is calibrated for equity markets, specifically the S&P 500. Application to other asset classes requires recalibration of thresholds and potentially different data sources. Historical relationships between VRP and subsequent returns, while statistically robust, do not guarantee future performance. Structural changes in markets, options pricing, or investor behavior could alter these dynamics. STATISTICAL OUTPUTS The indicator presents comprehensive statistics including current VRP level, implied volatility from VIX, realized volatility from the selected method, current regime classification, number of bars in the current regime, percentile ranking over the lookback period, Z-score relative to recent history, mean VRP over the lookback period, realized volatility term structure slope, VRP momentum, mean reversion signal status, and overall market bias interpretation. Color coding throughout the indicator provides immediate visual interpretation. Green tones indicate elevated VRP associated with fear and potential opportunity. Red tones indicate compressed or negative VRP associated with complacency or active stress. Neutral tones indicate normal market conditions. ALERT CONDITIONS The indicator provides alerts for regime transitions, extreme statistical readings, term structure inversions, mean reversion signals, and momentum shifts. These can be configured through the TradingView alert system for real-time monitoring across multiple timeframes. REFERENCES Bakshi, G., and Kapadia, N. (2003). Delta-Hedged Gains and the Negative Market Volatility Risk Premium. Review of Financial Studies, 16(2), 527-566. Bollerslev, T., Tauchen, G., and Zhou, H. (2009). Expected Stock Returns and Variance Risk Premia. Review of Financial Studies, 22(11), 4463-4492. Carr, P., and Wu, L. (2009). Variance Risk Premiums. Review of Financial Studies, 22(3), 1311-1341. Garman, M. B., and Klass, M. J. (1980). On the Estimation of Security Price Volatilities from Historical Data. Journal of Business, 53(1), 67-78. Mixon, S. (2007). The Implied Volatility Term Structure of Stock Index Options. Journal of Empirical Finance, 14(3), 333-354. Parkinson, M. (1980). The Extreme Value Method for Estimating the Variance of the Rate of Return. Journal of Business, 53(1), 61-65.
Indicatore Pine Script®
di EdgeTools
6
MTF S/R Array - Full CustomA clean, institutional-style multi-timeframe support and resistance indicator designed for precision trading decisions. Plots previous and current period levels with full customization for backtesting and live trading. ━━━━━━━━━━━━━━━━━━━━━━ WHAT IT PLOTS ━━━━━━━━━━━━━━━━━━━━━━ MONTHLY - Previous Month High / Low / Close - Previous Month Highest Closing Price - Current Month High / Low / Highest Close WEEKLY - Previous Week High / Low / Close - Current Week High / Low DAILY - Previous Day High / Low / Close - Current Day High / Low SESSIONS (Full Session - EST) - Asian: 7pm - 4am - London: 3am - 12pm - New York: 8am - 5pm OPENING RANGE - Monday/Tuesday combined high and low - Clean box visualization for weekly initial balance ━━━━━━━━━━━━━━━━━━━━━━ WHY THESE LEVELS MATTER ━━━━━━━━━━━━━━━━━━━━━━ Institutions and smart money reference these key levels for: - Liquidity targets - Stop hunts - Reversal zones - Trend continuation entries Previous period levels act as magnets for price. Current levels show where the battle is happening now. ━━━━━━━━━━━━━━━━━━━━━━ FULL CUSTOMIZATION ━━━━━━━━━━━━━━━━━━━━━━ Every level type has independent controls: - Show/Hide Previous and Current separately - Extend Bars - control how far each level stretches - Line Width - adjust thickness per level - Transparency - fade previous levels for clarity - Colors - separate colors for High/Low vs Close Additional settings: - Labels on/off with size and style options - Info table with position and size controls - Opening range box transparency and border width ━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE ━━━━━━━━━━━━━━━━━━━━━━ 1. Use on lower timeframes (1m, 5m, 15m) to see HTF levels 2. Watch for price reactions at previous period highs/lows 3. Look for session high/low sweeps followed by reversals 4. Use Monday/Tuesday opening range for weekly bias and targets 5. Previous levels extend further back for backtesting context ━━━━━━━━━━━━━━━━━━━━━━ TIPS ━━━━━━━━━━━━━━━━━━━━━━ - Increase "Prev Extend Bars" on monthly/weekly to see levels across more history - Use higher transparency on previous levels to keep chart clean - Turn off sessions you don't trade to reduce clutter - The info table shows all values at a glance - position it where it doesn't block price action ━━━━━━━━━━━━━━━━━━━━━━ BEST FOR ━━━━━━━━━━━━━━━━━━━━━━ - ICT / Smart Money Concepts traders - Session-based strategies - Swing traders using HTF levels on LTF entries - Anyone who wants clean, customizable S/R levels Works on Forex, Crypto, Stocks, Futures, and Indices.
Indicatore Pine Script®
di TSA_TimeSpaceAlgorithm
Superior-Range Bound Renko - Strategy - 11-29-25 - SignalLynxSuperior-Range Bound Renko Strategy with Advanced Risk Management Template Signal Lynx | Free Scripts supporting Automation for the Night-Shift Nation 🌙 1. Overview Welcome to Superior-Range Bound Renko (RBR) — a volatility-aware, structure-respecting swing-trading system built on top of a full Risk Management (RM) Template from Signal Lynx. Instead of relying on static lookbacks (like “14-period RSI”) or plain MA crosses, Superior RBR: Adapts its range definition to market volatility in real time Emulates Renko Bricks on a standard, time-based chart (no Renko chart type required) Uses a stack of Laguerre Filters to detect genuine impulse vs. noise Adds an Adaptive SuperTrend powered by a small k-means-style clustering routine on volatility Under the hood, this script also includes the full Signal Lynx Risk Management Engine: A state machine that separates “Signal” from “Execution” Layered exit tools: Stop Loss, Trailing Stop, Staged Take Profit, Advanced Adaptive Trailing Stop (AATS), and an RSI-style stop (RSIS) Designed for non-repainting behavior on closed candles by basing execution-critical logic on previous-bar data We are publishing this as an open-source template so traders and developers can leverage a professional-grade RM engine while integrating their own signal logic if they wish. 2. Quick Action Guide (TL;DR) Best Timeframe: 4 Hours (H4) and above. This is a high-conviction swing-trading system, not a scalper. Best Assets: Volatile instruments that still respect market structure: Bitcoin, Ethereum, Gold (XAUUSD), high-volatility Forex pairs (e.g., GBPJPY), indices with clean ranges. Strategy Type: Volatility-Adaptive Trend Following + Impulse Detection. It hunts for genuine expansion out of ranges, not tiny mean-reversion nibbles. Key Feature: Renko Emulation on time-based candles. We mathematically model Renko Bricks and overlay them on your standard chart to define: “Equilibrium” zones (inside the brick structure) “Breakout / impulse” zones (when price AND the impulse line depart from the bricks) Repainting: Designed to be non-repainting on closed candles. All RM execution logic uses confirmed historical data (no future bars, no security() lookahead). Intrabar flicker during formation is allowed, but once a bar closes the engine’s decisions are stable. Core Toggles & Filters: Enable Longs and Shorts independently Optional Weekend filter (block trades on Saturday/Sunday) Per-module toggles: Stop Loss, Trailing Stop, Staged Take Profits, AATS, RSIS 3. Detailed Report: How It Works A. The Strategy Logic: Superior RBR Superior RBR builds its entry signal from multiple mathematical layers working together. 1) Adaptive Lookback (Volatility Normalization) Instead of a fixed 100-bar or 200-bar range, the script: Computes ATR-based volatility over a user-defined period. Normalizes that volatility relative to its recent min/max. Maps the normalized value into a dynamic lookback window between a minimum and maximum (e.g., 4 to 100 bars). High Volatility: The lookback shrinks, so the system reacts faster to explosive moves. Low Volatility: The lookback expands, so the system sees a “bigger picture” and filters out chop. All the core “Range High/Low” and “Range Close High/Low” boundaries are built on top of this adaptive window. 2) Range Construction & Quick Ranges The engine constructs several nested ranges: Outer Range: rangeHighFinal – dynamic highest high rangeLowFinal – dynamic lowest low Inner Close Range: rangeCloseHighFinal – highest close rangeCloseLowFinal – lowest close Quick Ranges: “Half-length” variants of those, used to detect more responsive changes in structure and volatility. These ranges define: The macro box price is trading inside Shorter-term “pressure zones” where price is coiling before expansion 3) Renko Emulation (The Bricks) Rather than using the Renko chart type (which discards time), this script emulates Renko behavior on your normal candles: A “brick size” is defined either: As a standard percentage move, or As a volatility-driven (ATR) brick, optionally inhibited by a minimum standard size The engine tracks a base value and derives: brickUpper – top of the emulated brick brickLower – bottom of the emulated brick When price moves sufficiently beyond those levels, the brick “shifts”, and the directional memory (renkoDir) updates: renkoDir = +2 when bricks are advancing upward renkoDir = -2 when bricks are stepping downward You can think of this as a synthetic Renko tape overlaid on time-based candles: Inside the brick: equilibrium / consolidation Breaking away from the brick: momentum / expansion 4) Impulse Tracking with Laguerre Filters The script uses multiple Laguerre Filters to smooth price and brick-derived data without traditional lag. Key filters include: LagF_1 / LagF_W: Based on brick upper/lower baselines LagF_Q: Based on HLCC4 (high + low + 2×close)/4 LagF_Y / LagF_P: Complex averages combining brick structures and range averages LagF_V (Primary Impulse Line): A smooth, high-level impulse line derived from a blend of the above plus the outer ranges Conceptually: When the impulse line pushes away from the brick structure and continues in one direction, an impulse move is underway. When its direction flips and begins to roll over, the impulse is fading, hinting at mean reversion back into the range. 5) Fib-Based Structure & Swaps The system also layers in Fib levels derived from the adaptive ranges: Standard levels (12%, 23.6%, 38.2%, 50%, 61%, 76.8%, 88%) from the main range A secondary “swap” set derived from close-range dynamics (fib12Swap, fib23Swap, etc.) These Fibs are used to: Bucket price into structural zones (below 12, between 23–38, etc.) Detect breakouts when price and Laguerre move beyond key Fib thresholds Drive zSwap logic (where a secondary Fib set becomes the active structure once certain conditions are met) 6) Adaptive SuperTrend with K-Means-Style Volatility Clustering Under the hood, the script uses a small k-means-style clustering routine on ATR: ATR is measured over a fixed period The range of ATR values is split into Low, Medium, High volatility centroids Current ATR is assigned to the nearest centroid (cluster) From that, a SuperTrend variant (STK) is computed with dynamic sensitivity: In quiet markets, SuperTrend can afford to be tighter In wild markets, it widens appropriately to avoid constant whipsaw This SuperTrend-based oscillator (LagF_K and its signals) is then combined with the brick and Laguerre stack to confirm valid trend regimes. 7) Final Baseline Signals (+2 / -2) The “brain” of Superior RBR lives in the Baseline & Signal Generation block: Two composite signals are built: B1 and B2: They combine: Fib breakouts Renko direction (renkoDir) Expansion direction (expansionQuickDir) Multiple Laguerre alignments (LagF_Q, LagF_W, LagF_Y, LagF_Z, LagF_P, LagF_V) They also factor in whether Fib structures are expanding or contracting. A user toggle selects the “Baseline” signal: finalSig = B2 (default) or B1 (alternate baseline) finalSig is then filtered through the RM state machine and only when everything aligns, we emit: +2 = Long / Buy signal -2 = Short / Sell signal 0 = No new trade Those +2 / -2 values are what feed the Risk Management Engine. B. The Risk Management (RM) Engine This script features the Signal Lynx Risk Management Engine, a proprietary state machine built to separate Signal from Execution. Instead of firing orders directly on indicator conditions, we: Convert the raw signal into a clean integer (Fin = +2 / -2 / 0) Feed it into a Trade State Machine that understands: Are we flat? Are we in a long or short? Are we in a closing sequence? Should we permit re-entry now or wait? Logic Injection / Template Concept: The RM engine expects a simple integer: +2 → Buy -2 → Sell Everything else (0) is “no new trade” This makes the script a template: You can remove the Superior RBR block Drop in your own logic (RSI, MACD, price action, etc.) As long as you output +2 or -2 into the same signal channel, the RM engine can drive all exits and state transitions. Aggressive vs Conservative Modes: The input AgressiveRM (Aggressive RM) governs how we interpret signals: Conservative Mode (Aggressive RM = false): Uses a more filtered internal signal (AF) to open trades Effectively waits for a clean trend flip / confirmation before new entries Minimizes whipsaw at the cost of fewer trades Aggressive Mode (Aggressive RM = true): Reacts directly to the fresh alert (AO) pulses Allows faster re-entries in the same direction after RM-based exits Still respects your pyramiding setting; this script ships with pyramiding = 0 by default, so it will not stack multiple positions unless you change that parameter in the strategy() call. The state machine enforces discipline on top of your signal logic, reducing double-fires and signal spam. C. Advanced Exit Protocols (Layered Defense) The exit side is where this template really shines. Instead of a single “take profit or stop loss,” it uses multiple, cooperating layers. 1) Hard Stop Loss A classic percentage-based Stop Loss (SL) relative to the entry price. Acts as a final “catastrophic protection” layer for unexpected moves. 2) Standard Trailing Stop A percentage-based Trailing Stop (TS) that: Activates only after price has moved a certain percentage in your favor (tsActivation) Then trails price by a configurable percentage (ts) This is a straightforward, battle-tested trailing mechanism. 3) Staged Take Profits (Three Levels) The script supports three staged Take Profit levels (TP1, TP2, TP3): Each stage has: Activation percentage (how far price must move in your favor) Trailing amount for that stage Position percentage to close Example setup: TP1: Activate at +10% Trailing 5% Close 10% of the position TP2: Activate at +20% Trailing 10% Close another 10% TP3: Activate at +30% Trailing 5% Close the remaining 80% (“runner”) You can tailor these quantities for partial scaling out vs. letting a core position ride. 4) Advanced Adaptive Trailing Stop (AATS) AATS is a sophisticated volatility- and structure-aware stop: Uses Hirashima Sugita style levels (HSRS) to model “floors” and “ceilings” of price: Dungeon → Lower floors → Mid → Upper floors → Penthouse These levels classify where current price sits within a long-term distribution. Combines HSRS with Bollinger-style envelopes and EMAs to determine: Is price extended far into the upper structure? Is it compressed near the lower ranges? From this, it computes an adaptive factor that controls how tight or loose the trailing level (aATS / bATS) should be: High Volatility / Penthouse areas: Stop loosens to avoid getting wicked out by inevitable spikes. Low Volatility / compressed structure: Stop tightens to lock in and protect profit. AATS is designed to be the “smart last line” that responds to context instead of a single fixed percentage. 5) RSI-Style Stop (RSIS) On top of AATS, the script includes a RSI-like regime filter: A McGinley Dynamic mean of price plus ATR bands creates a dynamic channel. Crosses above the top band and below the lower band change a directional state. When enabled (UseRSIS): RSIS can confirm or veto AATS closes: For longs: A shift to bearish RSIS can force exits sooner. For shorts: A shift to bullish RSIS can do the same. This extra layer helps avoid over-reactive stops in strong trends while still respecting a regime change when it happens. D. Repainting Protection Many strategies look incredible in the Strategy Tester but fail in live trading because they rely on intrabar values or future-knowledge functions. This template is built with closed-candle realism in mind: The Risk Management logic explicitly uses previous bar data (open , high , low , close ) for the key decisions on: Trailing stop updates TP triggers SL hits RM state transitions No security() lookahead or future-bar access is used. This means: Backtest behavior is designed to match what you can actually get with TradingView alerts and live automation. Signals may “flicker” intrabar while the candle is forming (as with any strategy), but on closed candles, the RM decisions are stable and non-repainting. 4. For Developers & Modders We strongly encourage you to mod this script. To plug your own strategy into the RM engine: Look for the section titled: // BASELINE & SIGNAL GENERATION You will see composite logic building B1 and B2, and then selecting: baseSig = B2 altSig = B1 finalSig = sigSwap ? baseSig : altSig You can replace the content used to generate baseSig / altSig with your own logic, for example: RSI crosses MACD histogram flips Candle pattern detectors External condition flags Requirements are simple: Your final logic must output: 2 → Buy signal -2 → Sell signal 0 → No new trade That output flows into the RM engine via finalSig → AlertOpen → state machine → Fin. Once you wire your signals into finalSig, the entire Risk Management system (Stops, TPs, AATS, RSIS, re-entry logic, weekend filters, long/short toggles) becomes available for your custom strategy without re-inventing the wheel. This makes Superior RBR not just a strategy, but a reference architecture for serious Pine dev work. 5. About Signal Lynx Automation for the Night-Shift Nation 🌙 Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management. We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to: Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search. License: Mozilla Public License 2.0 (Open Source). If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.
Strategia Pine Script®
di SignalLynx
Session Open Range, Breakout & Trap Framework - TrendPredator OBSession Open Range, Breakout & Trap Framework — TrendPredator Open Box Stacey Burke’s trading approach combines concepts from George Douglas Taylor, Tony Crabel, Steve Mauro, and Robert Schabacker. His framework focuses on reading price behaviour across daily templates and identifying how markets move through recurring cycles of expansion, contraction, and reversal. While effective, much of this analysis requires real-time interpretation of session-based behaviour, which can be demanding for traders working on lower intraday timeframes. The TrendPredator indicators formalize parts of this methodology by introducing mechanical rules for multi-timeframe bias tracking and session structure analysis. They aim to present the key elements of the system—bias, breakouts, fakeouts, and range behaviour—in a consistent and objective way that reduces discretionary interpretation. The Open Box indicator focuses specifically on the opening behaviour of major trading sessions. It builds on principles found in classical Open Range Breakout (ORB) techniques described by Tony Crabel, where a defined time window around the session open forms a structural reference range. Price behaviour relative to this range—breaking out, failing back inside, or expanding—can highlight developing session bias, potential trap formation, and directional conviction. This indicator applies these concepts throughout the major equity sessions. It automatically maps the session’s initial range (“Open Box”) and tracks how price interacts with it as liquidity and volatility increase. It also incorporates related structural references such as: * the first-hour high and low of the futures session * the exact session open level * an anchored VWAP starting at the session open * automated expansion levels projected from the Open Box In combination, these components provide a unified view of early session activity, including breakout attempts, fakeouts, VWAP reactions, and liquidity targeting. The Open Box offers a structured lens for observing how price transitions through the major sessions (Asia → London → New York) and how these behaviours relate to higher-timeframe bias defined in the broader TrendPredator framework. Core Features Open Box (Session Structure) The indicator defines an initial session range beginning at the selected session open. This “Open Box” represents a fixed time window—commonly the first 30 minutes, or any user-defined duration—that serves as a structural reference for analysing early session behaviour.
The range highlights whether price remains inside the box, breaks out, or rejects the boundaries, providing a consistent foundation for interpreting early directional tendencies and recognising breakout, continuation, or fakeout characteristics. How it works: * At the session open, the indicator calculates the high and low over the specified time window. * This range is plotted as the initial structure of the session. * Price behaviour at the boundaries can illustrate emerging bias or potential trap formation. * An optional secondary range (e.g., 15-minute high/low) can be enabled to capture early volatility with additional precision. Inputs / Options: * Session specifications (Tokyo, London, New York) * Open Box start and end times (e.g., equity open + first 30 minutes, or any custom length) * Open Box colour and label settings * Formatting options for Open Box high and low lines * Optional secondary range per session (e.g., 15-minute high/low) * Forward extension of Open Box high/low lines * Number of historic Open Boxes to display Session VWAPs The indicator plots VWAPs for each major trading session—Asia, London, and New York—anchored to their respective session opens. These session-specific VWAPs assist in tracking how value develops through the day and how price interacts with session-based volume distributions. How it works: * At each session open, a VWAP is anchored to the open price. * The VWAP updates throughout the session as new volume and price data arrive. * Deviations above or below the VWAP may indicate balance, imbalance, or directional control. * Viewed together, session VWAPs help identify transitions in value across sessions. Inputs / Options: * Enable or disable VWAP per session * Adjustable anchor and end times (optionally to end of day) * Line styling and label settings * Number of historic VWAPs to draw First Hour High/Low Extensions The indicator marks the high and low formed during the first hour of each session. These reference points often function as early control levels and provide context for assessing whether the session is establishing bias, consolidating, or exhibiting reversal behaviour. How it works: * After the session starts, the indicator records the highest and lowest prices during the first hour. * These levels are plotted and extended across the session. * They provide a visual reference for observing reactions, targets, or rejection zones. Inputs / Options: * Enable or disable for each session * Line style, colour, and label visibility * Number of historic sessions displayed EQO Levels (Equity Open) The indicator plots the opening price of each configured session. These “Equity Open” levels represent short-term reference points that can attract price early in the session.
Once the level is revisited after the Open Box has formed, it is automatically cut to avoid clutter. If not revisited, the line remains as an untested reference, similar to a naked point of control. How it works: * At session open, the open price is recorded. * The level is plotted as a local reference. * If price interacts with the level after the Open Box completes, the line is cut. * Untested EQOs extend forward until interacted with. Inputs / Options: * Enable/disable per session * Line style and label settings * Optional extension into the next day * Option for cutting vs. hiding on revisit * Number of historic sessions displayed OB Range Expansions (Automatic) Range expansions are calculated from the height of the Open Box. These levels provide structured reference zones for identifying potential continuation or exhaustion areas within a session. How it works: * After the Open Box is formed, multiples of the range (e.g., 1×, 2×, 3×) are projected. * These expansion levels are plotted above and below the range. * Price reactions near these areas can illustrate continuation, hesitation, or potential reversal. Inputs / Options: * Enable or disable per session * Select number of multiples * Line style, colour, and label settings * Extension length into the session Stacey Burke 12-Candle Window Marker The indicator can highlight the 12-candle window often referenced in Stacey Burke’s session methodology. This window represents the key active period of each session where breakout attempts, volatility shifts, and reversal signatures often occur. How it works: * A configurable window (default 12 candles) is highlighted from each session open. * This window acts as a guide for observing active session behaviour. * It remains visible throughout the session for structural context. Inputs / Options: * Enable/disable per session * Configurable window duration (default: 3 hours) * Colour and transparency controls Concept and Integration The Open Box is built around the same multi-timeframe logic that underpins the broader TrendPredator framework.
While higher-timeframe tools track bias and setups across the H8–D–W–M levels, the Open Box focuses on the H1–M30 domain to define session structure and observe how early intraday behaviour aligns with higher-timeframe conditions. The indicator integrates with the TrendPredator FO (Breakout, Fakeout & Trend Switch Detector), which highlights microstructure signals on lower timeframes (M15/M5). Together they form a layered workflow: * Higher timeframes: context, bias, and developing setups * TrendPredator OB: intraday and intra-session structure * TrendPredator FO: microstructure confirmation (e.g., FOL/FOH, switches) This alignment provides a structured way to observe how daily directional context interacts with intraday behaviour. See the public open source indicator TP FO here (click on it for access): Practical Application Before Session Open * Review previous session Open Box, Open level, and VWAPs * Assess how higher-timeframe bias aligns with potential intraday continuation or reversal * Note untested EQO levels or VWAPs that may function as liquidity attractors During Session Open * Observe behaviour around the first-hour high/low and higher-timeframe reference levels * Monitor how the M15 and 30-minute ranges close * Track reactions relative to the session open level and the session VWAP After the Open Box completes * Assess price interaction with Open Box boundaries and first-hour levels * Use microstructure signals (e.g., FOH/FOL, switches) for potential confirmation * Refer to expansion levels as reference zones for management or target setting After Session * Review how price behaved relative to the Open Box, EQO levels, VWAPs, and expansion zones * Analyse breakout attempts, fakeouts, and whether intraday structure aligned with the broader daily move Example Workflow and Trade 1. Higher-timeframe analysis signals a Daily Fakeout Low Continuation (bullish context). 2. The New York session forms an Open Box; price breaks above and holds above the first-hour high. 3. A Fakeout Low + Switch Bar appears on M5 (via FO), after retesting the session VWAP triggering the entry. 4. 1x expansion level serves as reference targets for take profit. Relation to the TrendPredator Ecosystem The Open Box is part of the TrendPredator Indicator Family, designed to apply multi-timeframe logic consistently across: * higher-timeframe context and setups * intraday and session structure (OB) * microstructure confirmation (FO) Together, these modules offer a unified structure for analysing how daily and intraday cycles interact. Disclaimer This indicator is for educational purposes only and does not guarantee profits.
It does not provide buy or sell signals but highlights structural and behavioural areas for analysis.
Users are solely responsible for their trading decisions and outcomes.
Indicatore Pine Script®
di TC888
Pivot Reversal Signals - Multi ConfirmationPivot Reversal Signals - Multi-Confirmation System Overview A comprehensive reversal detection indicator designed for daytraders that combines six independent technical signals to identify high-probability pivot points. The indicator uses a scoring system to classify signal strength as Weak, Medium, or Strong based on the number of confirmations present. How It Works The indicator monitors six key reversal signals simultaneously: 1. RSI Divergence - Detects when price makes new highs/lows but RSI shows weakening momentum 2. MACD Divergence - Identifies divergence between price action and MACD histogram 3. Key Level Touch - Confirms price is at significant support/resistance (previous day high/low, premarket high/low, VWAP, 50 SMA) 4. Reversal Candlestick Patterns - Recognizes bullish/bearish engulfing, hammers, and shooting stars 5. Moving Average Confluence - Validates bounces/rejections at stacked moving averages (9/20/50) 6. Volume Spike - Confirms increased participation (default: 1.5x average volume) Signal Strength Classification • Weak (3/6 confirmations) - Small circles for situational awareness only • Medium (4/6 confirmations) - Regular triangles, viable entry signals • Strong (5-6/6 confirmations) - Large triangles with background highlight, highest probability setups Visual Features • Entry Signals: Green triangles (up) for long entries, red triangles (down) for short entries • Exit Warnings: Orange X markers when opposing signals appear • Signal Labels: Show confirmation score (e.g., "5/6") and strength level • Key Levels Displayed: o Previous Day High/Low - Solid green/red lines (uses actual daily data) o Premarket High/Low - Blue/orange circles (4:00 AM - 9:30 AM EST) o VWAP - Purple line o Moving Averages - 9 EMA (blue), 20 EMA (orange), 50 SMA (red) • Background Tinting: Subtle color on strongest reversal zones Key Level Detection The indicator uses request.security() to accurately fetch previous day's high/low from daily timeframe data, ensuring precise level placement. Premarket high/low levels are dynamically tracked during premarket sessions (4:00 AM - 9:30 AM EST) and plotted throughout the trading day, providing critical support/resistance zones that often influence price action during regular hours. Customizable Parameters • Signal strength thresholds (adjust required confirmations) • RSI settings (length, overbought/oversold levels) • MACD parameters (fast/slow/signal lengths) • Moving average periods • Volume spike multiplier • Toggle individual display elements (levels, MAs, labels) Best Practices • Use on 5-minute charts for entries, confirm on 15-minute for direction • Focus on Medium and Strong signals; Weak signals provide context only • Strong signals (5-6 confirmations) have the highest win rate • Pay special attention to reversals at premarket high/low - these levels frequently hold • Previous day high/low often acts as major support/resistance • Always use proper risk management and stop losses • Works best in moderately trending markets Alert Capabilities Set custom alerts for: • Strong long/short signals • All entry signals (medium + strong) • Exit warnings for open positions Ideal For • Daytraders and scalpers (especially SPY, QQQ, and liquid equities) • Swing traders seeking precise entries • Traders who prefer confirmation-based systems • Anyone looking to reduce false signals with multi-factor validation • Traders who utilize premarket levels in their strategy Technical Notes • Uses Pine Script v6 • Premarket hours: 4:00 AM - 9:30 AM EST • Previous day levels pulled from daily timeframe for accuracy • Maximum 500 labels to maintain chart performance • All key levels update dynamically in real-time ________________________________________ Note: This indicator provides signal analysis only and should be used as part of a complete trading strategy. Past performance does not guarantee future results. Always practice proper risk management.
Indicatore Pine Script®
di BlouToro
1
CVD [able0.1]# CVD Overlay iOS Style - Complete User Guide ## 📖 Table of Contents 1. (#what-is-cvd) 2. (#installation-guide) 3. (#understanding-the-display) 4. (#reading-the-info-table) 5. (#settings--customization) 6. (#trading-strategies) 7. (#common-mistakes-to-avoid) --- ## 🎯 What is CVD? **CVD (Cumulative Volume Delta)** tracks the **difference between buying and selling pressure** over time. ### Simple Explanation: - **Positive CVD** (Orange) = More buying than selling = Bulls winning - **Negative CVD** (Gray) = More selling than buying = Bears winning - **Rising CVD** = Increasing buying pressure = Potential uptrend - **Falling CVD** = Increasing selling pressure = Potential downtrend ### Why It Matters: CVD helps you see **who's really in control** of the market - not just price movement, but actual buying/selling volume. --- ## 🚀 Installation Guide ### Step 1: Open Pine Editor 1. Go to TradingView 2. Click the **"Pine Editor"** tab at the bottom of the screen 3. Click **"New"** or open an existing script ### Step 2: Copy & Paste the Code 1. Select all existing code (Ctrl+A / Cmd+A) 2. Delete it 3. Copy the entire CVD iOS Style code 4. Paste it into Pine Editor ### Step 3: Add to Chart 1. Click **"Save"** button (or Ctrl+S / Cmd+S) 2. Click **"Add to Chart"** button 3. The indicator will appear on your chart! ### Step 4: Initial Setup - The indicator appears as an **overlay** on your price chart - You'll see an **orange/gray line** following price - An **info table** appears in the top-right corner --- ## 📊 Understanding the Display ### Main Chart Elements: #### 1. **CVD Line** (Orange/Gray) - **Orange Line** = Positive CVD (buying pressure) - **Gray Line** = Negative CVD (selling pressure) - This line moves with your price chart but shows volume delta #### 2. **CVD Zone** (Shaded Area) - Light shaded box around the CVD line - Shows the "range" of CVD movement - Helps visualize CVD boundaries #### 3. **Center Line** (Dotted) - Gray dotted line in the middle of the zone - Represents the "neutral" point - CVD crossing this = shift in market control #### 4. **Reference Asset Line** (Light Gray) - Shows Bitcoin (BTC) price movement for comparison - Helps you see if your asset moves with or against BTC - Can be changed to any asset you want #### 5. **CVD Label** - Shows current CVD value - Positioned above/below zone to avoid overlap - Updates in real-time #### 6. **Reset Background** (Very Light Gray) - Appears when CVD resets - Indicates a new calculation period --- ## 📋 Reading the Info Table The info table (top-right) shows **8 key metrics**: ### Row 1: **Header** ``` ╔═ CVD able ═╗ | 15m | ████████ | able ``` - **CVD able** = Indicator name + creator - **15m** = Current timeframe - **████████** = Visual decoration - **able** = Creator signature ### Row 2: **CVD Value** ``` CVD▲ | 7.39K | ████████ | █ █ █ ``` - **CVD▲** = CVD with trend arrow - ▲ = CVD increasing - ▼ = CVD decreasing - ► = CVD unchanged - **7.39K** = Actual CVD number - **Progress Bar** = Visual strength (darker = stronger) - **Vertical Bars** = Height shows intensity ### Row 3: **Delta** ``` ◆DELTA | -1.274K | ████░░░░ | ░ ░ ``` - **Delta** = Volume change THIS BAR ONLY - **Negative** = More selling this bar - **Positive** = More buying this bar - Shows **immediate** pressure (not cumulative) ### Row 4: **UP Volume** ``` UP↑ | -1.263K | ████████ | █ █ █ ``` - Total **buying volume** this bar - Higher = Stronger buying pressure - Green/Orange vertical bars = Bullish strength ### Row 5: **DOWN Volume** ``` DN↓ | 2.643K | ████████ | ░ ░ ░ ``` - Total **selling volume** this bar - Higher = Stronger selling pressure - Gray vertical bars = Bearish strength ### Row 6-7: **Reference Asset** (if enabled) ``` ══ REF ══ | ══════ | ████████ | █ █ PRICE▲ | 4130.300 | ████████ | █ █ ``` - **REF** = Reference asset header - **PRICE▲** = Reference price with trend - Shows if BTC (or chosen asset) is rising/falling - Compare with your chart to see correlation ### Row 8: **Market Status** ``` ◄STATUS► | NEUT | ████░░░░ | ▒ ▒ ``` - **BULL** = CVD positive + Delta positive = Strong buying - **BEAR** = CVD negative + Delta negative = Strong selling - **NEUT** = Mixed signals = Wait for clarity **Status Colors:** - **Orange background** = Bullish (good for long) - **Gray background** = Bearish (good for short) - **White background** = Neutral (no clear signal) --- ## ⚙️ Settings & Customization ### Main Settings (⚙️) #### **CVD Reset** - **None** = CVD never resets (from beginning of data) - **On Higher Timeframe** = Resets when HTF candle closes - 15m chart → Resets hourly - 1h chart → Resets daily - Recommended for most traders - **On Session Start** = Resets at market open - **On Visible Chart** = Resets from leftmost visible bar #### **Precision** - **Low (Fast)** = Uses 1m data, faster but less accurate - **Medium** = Uses 5m data, balanced (recommended) - **High** = Uses 15m data, most accurate but slower #### **Cumulative** - ✅ On = CVD accumulates over time (recommended) - ❌ Off = Shows only current bar delta #### **Show Labels** - ✅ On = Shows CVD value label on chart - ❌ Off = Cleaner chart, no label #### **Show Info Table** - ✅ On = Shows info table (recommended for beginners) - ❌ Off = Hide table for minimalist view --- ### 🎨 iOS Style Colors You can customize **every color** to match your chart theme: #### **Primary Colors** - **Primary (Orange)** = Main bullish color (#FF9500) - **Secondary (Gray)** = Main bearish color (#8E8E93) - **Background** = Table background (#FFFFFF) - **Text** = Text color (#1C1C1E) #### **Bullish/Bearish** - **Bullish (Orange)** = Positive CVD color - **Bearish (Gray)** = Negative CVD color - **Opacity** = Zone transparency (0-100%) - **Show Zone** = Enable/disable shaded area #### **Table Colors** (📋) - **Header Background** = Top row background - **Header Text** = Top row text color - **Cell Background** = Data cells background - **Cell Text** = Data cells text color - **Border** = Table border color - **Accent Background** = Special rows background - **Alert Background** = Warning/status background --- ### 📊 Reference Asset Settings #### **Enable** - ✅ On = Shows reference asset line - ❌ Off = Hide reference asset #### **Symbol** - Default: `BINANCE:BTCUSDT` - Can change to any asset: - `BINANCE:ETHUSDT` (Ethereum) - `SPX` (S&P 500) - `DXY` (US Dollar Index) - Any ticker symbol #### **Color & Width** - Customize line appearance - Width: 1-4 (thickness) --- ## 💡 Trading Strategies ### Strategy 1: CVD Divergence (Beginner-Friendly) **What to Look For:** - Price making **higher highs** but CVD making **lower highs** = Bearish divergence - Price making **lower lows** but CVD making **higher lows** = Bullish divergence **How to Trade:** 1. Wait for divergence to form 2. Look for confirmation (price reversal, candlestick pattern) 3. Enter trade in divergence direction 4. Stop loss beyond recent high/low **Example:** ``` Price: /\ /\ /\ (higher highs) CVD: /\ / \/ (lower highs) = Bearish signal ``` ### Strategy 2: CVD Trend Following (Intermediate) **What to Look For:** - **Strongly rising CVD** + **rising price** = Strong uptrend - **Strongly falling CVD** + **falling price** = Strong downtrend **How to Trade:** 1. Wait for CVD and price moving in same direction 2. Enter on pullbacks to support/resistance 3. Stay in trade while CVD trend continues 4. Exit when CVD trend breaks **Signals:** - CVD ▲▲▲ + Price ↑ = Go LONG - CVD ▼▼▼ + Price ↓ = Go SHORT ### Strategy 3: CVD + Reference Asset (Advanced) **What to Look For:** - Your asset **rising** but BTC (reference) **falling** = Relative strength - Your asset **falling** but BTC (reference) **rising** = Relative weakness **How to Trade:** 1. Compare CVD movement with BTC 2. If your CVD rises faster than BTC = Buy signal 3. If your CVD falls faster than BTC = Sell signal 4. Use for **pair trading** or **asset selection** ### Strategy 4: Volume Delta Confirmation **What to Look For:** - **Large positive Delta** = Strong buying this bar - **Large negative Delta** = Strong selling this bar **How to Trade:** 1. Price breaks resistance + Large positive Delta = Confirmed breakout 2. Price breaks support + Large negative Delta = Confirmed breakdown 3. Use Delta to **confirm** price moves, not predict them **Rules:** - Delta > 2x average = Very strong pressure - Delta near zero at key level = Weak move, likely false breakout --- ## 🎓 Reading Real Scenarios ### Scenario 1: Strong Buying Pressure ``` Table Shows: CVD▲ | 12.5K | ████████ | ████ (CVD rising) ◆DELTA | +2.8K | ████████ | ▲ (Positive delta) UP↑ | 3.1K | ████████ | ████ (High buy volume) DN↓ | 0.3K | ██░░░░░░ | ░ (Low sell volume) ◄STATUS► | BULL | ████████ | ████ (Orange background) ``` **Interpretation:** Strong buying, good for LONG trades ### Scenario 2: Distribution (Hidden Selling) ``` Table Shows: CVD► | 8.2K | ████░░░░ | ▒▒ (CVD flat) ◆DELTA | -1.5K | ████████ | ▼ (Negative delta) UP↑ | 0.8K | ███░░░░░ | ░ (Low buy volume) DN↓ | 2.3K | ████████ | ████ (High sell volume) ◄STATUS► | BEAR | ████████ | ░░░░ (Gray background) ``` **Interpretation:** Price may look stable, but selling increasing = Prepare for drop ### Scenario 3: Neutral/Choppy Market ``` Table Shows: CVD► | 5.1K | ████░░░░ | ▒ (CVD sideways) ◆DELTA | +0.2K | ██░░░░░░ | ─ (Small delta) UP↑ | 1.2K | ████░░░░ | ▒ (Medium buy) DN↓ | 1.0K | ████░░░░ | ▒ (Medium sell) ◄STATUS► | NEUT | ████░░░░ | ▒▒ (White background) ``` **Interpretation:** No clear direction = Stay out or reduce position size --- ## ⚠️ Common Mistakes to Avoid ### Mistake 1: Trading on CVD Alone - ❌ **Wrong:** "CVD is rising, I'll buy immediately" - ✅ **Right:** "CVD is rising, let me check price structure, support/resistance, and wait for confirmation" ### Mistake 2: Ignoring Delta - ❌ **Wrong:** Looking only at cumulative CVD - ✅ **Right:** Watch both CVD (trend) and Delta (momentum) - Delta shows **immediate** pressure changes ### Mistake 3: Wrong Timeframe - ❌ **Wrong:** Using 1m chart with High Precision (too slow) - ✅ **Right:** Match precision to timeframe: - 1m-5m → Low Precision - 15m-1h → Medium Precision - 4h+ → High Precision ### Mistake 4: Not Using Reset - ❌ **Wrong:** Using "None" reset for intraday trading - ✅ **Right:** Use "On Higher Timeframe" to see fresh CVD each session ### Mistake 5: Overtrading Neutral Status - ❌ **Wrong:** Forcing trades when STATUS = NEUT - ✅ **Right:** Only trade clear BULL or BEAR status ### Mistake 6: Ignoring Reference Asset - ❌ **Wrong:** Trading altcoin without checking BTC - ✅ **Right:** Always check if BTC CVD agrees with your asset --- ## 🔥 Pro Tips ### Tip 1: Multi-Timeframe Analysis - Check CVD on **3 timeframes**: - Lower TF (15m) = Entry timing - Current TF (1h) = Trade direction - Higher TF (4h) = Overall trend ### Tip 2: Volume Confirmation - Big price move + Small Delta = **Weak move** (likely reversal) - Small price move + Big Delta = **Strong accumulation** (continuation) ### Tip 3: CVD Reset Zones - Pay attention to **reset backgrounds** (light gray) - Often marks **session starts** = High volatility periods ### Tip 4: Divergence + Status - Bearish divergence + STATUS = BEAR = **Strongest short signal** - Bullish divergence + STATUS = BULL = **Strongest long signal** ### Tip 5: Color Psychology - **Orange** (Bullish) is **warm** = Buying energy - **Gray** (Bearish) is **cool** = Selling pressure - Train your eye to read colors instantly ### Tip 6: Table as Quick Scan - Glance at table without reading numbers: - **All orange** = Bullish - **All gray** = Bearish - **Mixed** = Wait --- ## 📱 Quick Reference Card | Signal | CVD | Delta | Status | Action | |--------|-----|-------|--------|--------| | **Strong Buy** | ▲▲ High | ++ Positive | BULL | Long Entry | | **Strong Sell** | ▼▼ Low | -- Negative | BEAR | Short Entry | | **Divergence Buy** | ▲ Rising | Price ▼ | → BULL | Long Setup | | **Divergence Sell** | ▼ Falling | Price ▲ | → BEAR | Short Setup | | **Neutral** | → Flat | ~0 Near Zero | NEUT | Stay Out | | **Accumulation** | → Flat | ++ Positive | NEUT→BULL | Watch for Breakout | | **Distribution** | → Flat | -- Negative | NEUT→BEAR | Watch for Breakdown | --- ## 🆘 Troubleshooting ### Issue: "Indicator not showing" - **Solution:** Make sure overlay=true in code, re-add to chart ### Issue: "Table overlaps with price" - **Solution:** Change table position in code or use TradingView's "Move" feature ### Issue: "CVD line too far from price" - **Solution:** This is normal! CVD is volume-based, not price-based. Focus on CVD direction, not position ### Issue: "Too many lines on chart" - **Solution:** Disable "Show Zone" and "Show Labels" in settings for cleaner view ### Issue: "Calculations too slow" - **Solution:** Change Precision to "Low (Fast)" or use higher timeframe ### Issue: "Reference asset not showing" - **Solution:** Check if "Enable" is ON and symbol is valid (e.g., BINANCE:BTCUSDT) --- ## 🎬 Getting Started Checklist - Install indicator on TradingView - Set precision to "Medium" - Set reset to "On Higher Timeframe" - Enable info table - Add reference asset (BTC) - Practice reading the table on demo account - Test on different timeframes (15m, 1h, 4h) - Compare CVD with your current strategy - Paper trade for 1 week before going live - Keep a trading journal of CVD signals --- ## 📚 Summary **CVD shows WHO is winning: Buyers or Sellers** **Key Points:** 1. **Orange/Rising CVD** = Buying pressure = Bullish 2. **Gray/Falling CVD** = Selling pressure = Bearish 3. **Delta** = Immediate momentum THIS BAR 4. **Status** = Overall market condition 5. **Always confirm** with price action & other indicators **Remember:** - CVD is a **tool**, not a crystal ball - Use with proper risk management - Practice makes perfect - Stay disciplined! --- **Created by: able** **Version:** iOS Style v1.0 **Contact:** For questions, refer to TradingView community Happy Trading! 🚀📈
Indicatore Pine Script®
di Able-terminal
(CRT) MTF Candle Range Theory Model# 🚀 **CASH Pro MTF – Candle Range Theory (CRT) Indicator** **The Smart Money ICT Setup Detector** 🔥 Hey Traders! Here is the **ultimate Pine Script indicator** that automatically detects one of the most powerful Smart Money / ICT setups: **Candle Range Theory (CRT)** --- ### What is Candle Range Theory – CRT? **CRT** is a high-probability price action model based on **liquidity grabs** and **range expansion**. Price loves to: 1️⃣ Raid the low/high of the previous candle (take stop-losses) 2️⃣ Then reverse and run to the opposite side of the range (or beyond) When this happens near a **key higher-timeframe level**, magic happens! ### Bullish CRT Model - Price touches a **strong HTF support** - Previous candle closes near that support - Next candle **sweeps the low** (grabs liquidity) - Current candle **closes above the raided low AND breaks the high** of the sweep candle **Result → Aggressive bullish move expected!** **Entry:** On close above the high (or on retest + MSS) **Stop Loss:** Below the swept low **Take Profit:** CRT High or next liquidity pool ### Bearish CRT Model - Price touches a **strong HTF resistance** - Previous candle closes near resistance - Next candle **sweeps the high** (grabs buy stops) - Current candle **closes below the raided high AND breaks the low** of the sweep candle **Result → Strong bearish expansion!** **Entry:** On close below the low **Stop Loss:** Above the swept high **Take Profit:** CRT Low or next downside liquidity This whole setup can form in **just 3 candles**… or sometimes more if price consolidates after the sweep. --- ### Why This Indicator is Special This is **NOT** a simple 3-candle pattern scanner! This is a **true CRT + MTF confluence beast** with: - **Multi-Timeframe Confirmation** (default 4H – fully customizable) - **Built-in RSI Filter** (avoid fake moves in overbought/oversold) - **Day-2 High/Low Levels** automatically drawn (the exact CRT range!) - **Clean “LONG” / “SHORT” labels** right on the candle (no ugly arrows or offset) - **Background highlight** on signal - **Fully grouped inputs** – super clean settings panel --- ### Features at a Glance | Feature | Included | |--------------------------------|----------| | Higher Timeframe Confirmation | Yes | | RSI Overbought/Oversold Filter | Yes | | Day-2 High/Low Lines + Labels | Yes | | Clean Text Signals (no offset) | Yes | | Background Highlight | Yes | | Fully Customizable Colors & Text| Yes | | Works on All Markets & TFs | Yes | --- ### How to Use 1. Add the indicator to your chart 2. Wait for a **LONG** or **SHORT** label to appear 3. Confirm price is near a **key HTF level** (order block, FVG, etc.) 4. Enter on close or retest (your choice) 5. Manage risk with the drawn Day-2 levels **Pro Tip:** Combine with ICT Market Structure Shift (MSS) or Fair Value Gaps for even higher accuracy!
Indicatore Pine Script®
di RAJATAMIL
Market Electromagnetic Field [The_lurker]Market Electromagnetic Field An innovative analytical indicator that presents a completely new model for understanding market dynamics, inspired by the laws of electromagnetic physics — but it's not a rhetorical metaphor, rather a complete mathematical system. Unlike traditional indicators that focus on price or momentum, this indicator portrays the market as a closed physical system, where: ⚡ Candles = Electric charges (positive at bullish close, negative at bearish) ⚡ Buyers and Sellers = Two opposing poles where pressure accumulates ⚡ Market tension = Voltage difference between the poles ⚡ Price breakout = Electrical discharge after sufficient energy accumulation █ Core Concept Markets don't move randomly, but follow a clear physical cycle: Accumulation → Tension → Discharge → Stabilization → New Accumulation When charges accumulate (through strong candles with high volume) and exceed a certain "electrical capacitance" threshold, the indicator issues a "⚡ DISCHARGE IMMINENT" alert — meaning a price explosion is imminent, giving the trader an opportunity to enter before the move begins. █ Competitive Advantage - Predictive forecasting (not confirmatory after the event) - Smart multi-layer filtering reduces false signals - Animated 3D visual representation makes reading price conditions instant and intuitive — without need for number analysis █ Theoretical Physical Foundation The indicator doesn't use physical terms for decoration, but applies mathematical laws with precise market adjustments: ⚡ Coulomb's Law Physics: F = k × (q₁ × q₂) / r² Market: Field Intensity = 4 × norm_positive × norm_negative Peaks at equilibrium (0.5 × 0.5 × 4 = 1.0), and decreases at dominance — because conflict increases at parity. ⚡ Ohm's Law Physics: V = I × R Market: Voltage = norm_positive − norm_negative Measures balance of power: - +1 = Absolute buying dominance - −1 = Absolute selling dominance - 0 = Balance ⚡ Capacitance Physics: C = Q / V Market: Capacitance = |Voltage| × Field Intensity Represents stored energy ready for discharge — increases with bias combined with high interaction. ⚡ Electrical Discharge Physics: Occurs when exceeding insulation threshold Market: Discharge Probability = min(Capacitance / Discharge Threshold, 1.0) When ≥ 0.9: "⚡ DISCHARGE IMMINENT" 📌 Key Note: Maximum capacitance doesn't occur at absolute dominance (where field intensity = 0), nor at perfect balance (where voltage = 0), but at moderate bias (±30–50%) with high interaction (field intensity > 25%) — i.e., in moments of "pressure before breakout". █ Detailed Calculation Mechanism ⚡ Phase 1: Candle Polarity polarity = (close − open) / (high − low) - +1.0: Complete bullish candle (Bullish Marubozu) - −1.0: Complete bearish candle (Bearish Marubozu) - 0.0: Doji (no decision) - Intermediate values: Represent the ratio of candle body to its range — reducing the effect of long-shadow candles ⚡ Phase 2: Volume Weight vol_weight = volume / SMA(volume, lookback) A candle with 150% of average volume = 1.5x stronger charge ⚡ Phase 3: Adaptive Factor adaptive_factor = ATR(lookback) / SMA(ATR, lookback × 2) - In volatile markets: Increases sensitivity - In quiet markets: Reduces noise - Always recommended to keep it enabled ⚡ Phase 4–6: Charge Accumulation and Normalization Charges are summed over lookback candles, then ratios are normalized: norm_positive = positive_charge / total_charge norm_negative = negative_charge / total_charge So that: norm_positive + norm_negative = 1 — for easier comparison ⚡ Phase 7: Field Calculations voltage = norm_positive − norm_negative field_intensity = 4 × norm_positive × norm_negative × field_sensitivity capacitance = |voltage| × field_intensity discharge_prob = min(capacitance / discharge_threshold, 1.0) █ Settings ⚡ Electromagnetic Model Lookback Period - Default: 20 - Range: 5–100 - Recommendations: - Scalping: 10–15 - Day Trading: 20 - Swing: 30–50 - Investing: 50–100 Discharge Threshold - Default: 0.7 - Range: 0.3–0.95 - Recommendations: - Speed + Noise: 0.5–0.6 - Balance: 0.7 - High Accuracy: 0.8–0.95 Field Sensitivity - Default: 1.0 - Range: 0.5–2.0 - Recommendations: - Amplify Conflict: 1.2–1.5 - Natural: 1.0 - Calm: 0.5–0.8 Adaptive Mode - Default: Enabled - Always keep it enabled 🔬 Dynamic Filters All enabled filters must pass for discharge signal to appear. Volume Filter - Condition: volume > SMA(volume) × vol_multiplier - Function: Excludes "weak" candles not supported by volume - Recommendation: Enabled (especially for stocks and forex) Volatility Filter - Condition: STDEV > SMA(STDEV) × 0.5 - Function: Ignores sideways stagnation periods - Recommendation: Always enabled Trend Filter - Condition: Voltage alignment with fast/slow EMA - Function: Reduces counter-trend signals - Recommendation: Enabled for swing/investing only Volume Threshold - Default: 1.2 - Recommendations: - 1.0–1.2: High sensitivity - 1.5–2.0: Exclusive to high volume 🎨 Visual Settings Settings improve visual reading experience — don't affect calculations. Scale Factor - Default: 600 - Higher = Larger scene (200–1200) Horizontal Shift - Default: 180 - Horizontal shift to the left — to focus on last candle Pole Size - Default: 60 - Base sphere size (30–120) Field Lines - Default: 8 - Number of field lines (4–16) — 8 is ideal balance Colors - Green/Red/Blue/Orange - Fully customizable █ Visual Representation: A Visual Language for Diagnosing Price Conditions ✨ Design Philosophy The representation isn't "decoration", but a complete cognitive model — each element carries information, and element interaction tells a complete story. The brain perceives changes in size, color, and movement 60,000 times faster than reading numbers — so you can "sense" the change before your eye finishes scanning. ═════════════════════════════════════════════════════════════ 🟢 Positive Pole (Green Sphere — Left) ═════════════════════════════════════════════════════════════ What does it represent? Active buying pressure accumulation — not just an uptrend, but real demand force supported by volume and volatility. ● Dynamic Size Size = pole_size × (0.7 + norm_positive × 0.6) - 70% of base size = No significant charge - 130% of base size = Complete dominance - The larger the sphere: Greater buyer dominance, higher probability of bullish continuation Size Interpretation: - Large sphere (>55%): Strong buying pressure — Buyers dominate - Medium sphere (45–55%): Relative balance with buying bias - Small sphere (<45%): Weak buying pressure — Sellers dominate ● Lighting and Transparency - 20% transparency (when Bias = +1): Pole currently active — Bullish direction - 50% transparency (when Bias ≠ +1): Pole inactive — Not the prevailing direction Lighting = Current activity, while Size = Historical accumulation ● Pulsing Inner Glow A smaller sphere pulses automatically when Bias = +1: inner_pulse = 0.4 + 0.1 × sin(anim_time × 3) Symbolizes continuity of buy order flow — not static dominance. ● Orbital Rings Two rings rotating at different speeds and directions: - Inner: 1.3× sphere size — Direct influence range - Outer: 1.6× sphere size — Extended influence range Represent "influence zone" of buyers: - Continuous rotation = Stability and momentum - Slowdown = Momentum exhaustion ● Percentage Displayed below sphere: norm_positive × 100 - >55% = Clear dominance - 45–55% = Balance - <45% = Weakness ═════════════════════════════════════════════════════════════ 🔴 Negative Pole (Red Sphere — Right) ═════════════════════════════════════════════════════════════ What does it represent? Active selling pressure accumulation — whether cumulative selling (smart distribution) or panic selling (position liquidation). ● Visual Dynamics Same size, lighting, and inner glow mechanism — but in red. Key Difference: - Rotation is reversed (counter-clockwise) - Visually distinguishes "buy flow" from "sell flow" - Allows reading direction at a glance — even for colorblind users 📌 Pole Reading Summary: 🟢 Large + Bright green sphere = Active buying force 🔴 Large + Bright red sphere = Active selling force 🟢🔴 Both large but dim = Energy accumulation (before discharge) ⚪ Both small = Stagnation / Low liquidity ═════════════════════════════════════════════════════════════ 🔵 Field Lines (Curved Blue Lines) ═════════════════════════════════════════════════════════════ What do they represent? Energy flow paths between poles — the arena where price battle is fought. ● Number of Lines 4–16 lines (Default: 8) More lines: Greater sense of "interaction density" ● Arc Height arc_h = (i − half_lines) × 15 × field_intensity × 2 - High field intensity = Highly elevated lines (like waves) - Low intensity = Nearly straight lines ● Oscillating Transparency transp = 30 + phase × 40 where phase = sin(anim_time × 2 + i × 0.5) × 0.5 + 0.5 Creates illusion of "flowing current" — not static lines ● Asymmetric Curvature - Upper lines curve upward - Lower lines curve downward - Adds 3D depth and shows "pressure" direction ⚡ Pro Tip: When you see lines suddenly "contract" (straighten), while both spheres are large — this is an early indicator of impending discharge, because the interaction is losing its flexibility. ═════════════════════════════════════════════════════════════ ⚪ Moving Particles ═════════════════════════════════════════════════════════════ What do they represent? Real liquidity flow in the market — who's driving price right now. ● Number and Movement - 6 particles covering most field lines - Move sinusoidally along the arc: t = (sin(phase_val) + 1) / 2 - High speed = High trading activity - Clustering at a pole = That side's control ● Color Gradient From green (at positive pole) to red (at negative) Shows "energy transformation": - Green particle = Pure buying energy - Orange particle = Conflict zone - Red particle = Pure selling energy 📌 How to Read Them? - Moving left to right (🟢 → 🔴): Buy flow → Bullish push - Moving right to left (🔴 → 🟢): Sell flow → Bearish push - Clustered in middle: Balanced conflict — Wait for breakout ═════════════════════════════════════════════════════════════ 🟠 Discharge Zone (Orange Glow — Center) ═════════════════════════════════════════════════════════════ What does it represent? Point of stored energy accumulation not yet discharged — heart of the early warning system. ● Glow Stages Initial Warning (discharge_prob > 0.3): - Dim orange circle (70% transparency) - Meaning: Watch, don't enter yet High Tension (discharge_prob ≥ 0.7): - Stronger glow + "⚠️ HIGH TENSION" text - Meaning: Prepare — Set pending orders Imminent Discharge (discharge_prob ≥ 0.9): - Bright glow + "⚡ DISCHARGE IMMINENT" text - Meaning: Enter with direction (after candle confirmation) ● Layered Glow Effect (Glow Layering) 3 concentric circles with increasing transparency: - Inner: 20% - Middle: 35% - Outer: 50% Result: Realistic aura resembling actual electrical discharge. 📌 Why in the Center? Because discharge always starts from the relative balance zone — where opposing pressures meet. ═════════════════════════════════════════════════════════════ 📊 Voltage Meter (Bottom of Scene) ═════════════════════════════════════════════════════════════ What does it represent? Simplified numeric indicator of voltage difference — for those who prefer numerical reading. ● Components - Gray bar: Full range (−100% to +100%) - Green fill: Positive voltage (extends right) - Red fill: Negative voltage (extends left) - Lightning symbol (⚡): Above center — reminder it's an "electrical gauge" - Text value: Like "+23.4%" — in direction color ● Voltage Reading Interpretation +50% to +100%: Overwhelming buying dominance — Beware of saturation, may precede correction +20% to +50%: Strong buying dominance — Suitable for buying with trend +5% to +20%: Slight bullish bias — Wait for additional confirmation −5% to +5%: Balance/Neutral — Avoid entry or wait for breakout −5% to −20%: Slight bearish bias — Wait for confirmation −20% to −50%: Strong selling dominance — Suitable for selling with trend −50% to −100%: Overwhelming selling dominance — Beware of saturation, may precede bounce ═════════════════════════════════════════════════════════════ 📈 Field Strength Indicator (Top of Scene) ═════════════════════════════════════════════════════════════ What it displays: "Field: XX.X%" Meaning: Strength of conflict between buyers and sellers. ● Reading Interpretation 0–5%: - Appearance: Nearly straight lines, transparent - Meaning: Complete control by one side - Strategy: Trend Following 5–15%: - Appearance: Slight curvature - Meaning: Clear direction with light resistance - Strategy: Enter with trend 15–25%: - Appearance: Medium curvature, clear lines - Meaning: Balanced conflict - Strategy: Range trading or waiting 25–35%: - Appearance: High curvature, clear density - Meaning: Strong conflict, high uncertainty - Strategy: Volatility trading or prepare for discharge 35%+: - Appearance: Very high lines, strong glow - Meaning: Peak tension - Strategy: Best discharge opportunities 📌 Golden Relationship: Highest discharge probability when: Field Strength (25–35%) + Voltage (±30–50%) + High Volume ← This is the "red zone" to monitor carefully. █ Comprehensive Visual Reading To read market condition at a glance, follow this sequence: Step 1: Which sphere is larger? - 🟢 Green larger ← Dominant buying pressure - 🔴 Red larger ← Dominant selling pressure - Equal ← Balance/Conflict Step 2: Which sphere is bright? - 🟢 Green bright ← Current bullish direction - 🔴 Red bright ← Current bearish direction - Both dim ← Neutral/No clear direction Step 3: Is there orange glow? - None ← Discharge probability <30% - 🟠 Dim glow ← Discharge probability 30–70% - 🟠 Strong glow with text ← Discharge probability >70% Step 4: What's the voltage meter reading? - Strong positive ← Confirms buying dominance - Strong negative ← Confirms selling dominance - Near zero ← No clear direction █ Practical Visual Reading Examples Example 1: Ideal Buy Opportunity ⚡🟢 - Green sphere: Large and bright with inner pulse - Red sphere: Small and dim - Orange glow: Strong with "DISCHARGE IMMINENT" text - Voltage meter: +45% - Field strength: 28% Interpretation: Strong accumulated buying pressure, bullish explosion imminent Example 2: Ideal Sell Opportunity ⚡🔴 - Green sphere: Small and dim - Red sphere: Large and bright with inner pulse - Orange glow: Strong with "DISCHARGE IMMINENT" text - Voltage meter: −52% - Field strength: 31% Interpretation: Strong accumulated selling pressure, bearish explosion imminent Example 3: Balance/Wait ⚖️ - Both spheres: Approximately equal in size - Lighting: Both dim - Orange glow: Strong - Voltage meter: +3% - Field strength: 24% Interpretation: Strong conflict without clear winner, wait for breakout Example 4: Clear Uptrend (No Discharge) 📈 - Green sphere: Large and bright - Red sphere: Very small and dim - Orange glow: None - Voltage meter: +68% - Field strength: 8% Interpretation: Clear buying control, limited conflict, suitable for following bullish trend Example 5: Potential Buying Saturation ⚠️ - Green sphere: Very large and bright - Red sphere: Very small - Orange glow: Dim - Voltage meter: +88% - Field strength: 4% Interpretation: Absolute buying dominance, may precede bearish correction █ Trading Signals ⚡ DISCHARGE IMMINENT Appearance Conditions: - discharge_prob ≥ 0.9 - All enabled filters passed - Confirmed (after candle close) Interpretation: - Very large energy accumulation - Pressure reached critical level - Price explosion expected within 1–3 candles How to Trade: 1. Determine voltage direction: • Positive = Expect rise • Negative = Expect fall 2. Wait for confirmation candle: • For rise: Bullish candle closing above its open • For fall: Bearish candle closing below its open 3. Entry: With next candle's open 4. Stop Loss: Behind last local low/high 5. Target: Risk/Reward ratio of at least 1:2 ✅ Pro Tips: - Best results when combined with support/resistance levels - Avoid entry if voltage is near zero (±5%) - Increase position size when field strength > 30% ⚠️ HIGH TENSION Appearance Conditions: - 0.7 ≤ discharge_prob < 0.9 Interpretation: - Market in energy accumulation state - Likely strong move soon, but not immediate - Accumulation may continue or discharge may occur How to Benefit: - Prepare: Set pending orders at potential breakouts - Monitor: Watch following candles for momentum candle - Select: Don't enter every signal — choose those aligned with overall trend █ Trading Strategies 📈 Strategy 1: Discharge Trading (Basic) Principle: Enter at "DISCHARGE IMMINENT" in voltage direction Steps: 1. Wait for "⚡ DISCHARGE IMMINENT" 2. Check voltage direction (+/−) 3. Wait for confirmation candle in voltage direction 4. Enter with next candle's open 5. Stop loss behind last low/high 6. Target: 1:2 or 1:3 ratio Very high success rate when following confirmation conditions. 📈 Strategy 2: Dominance Following Principle: Trade with dominant pole (largest and brightest sphere) Steps: 1. Identify dominant pole (largest and brightest) 2. Trade in its direction 3. Beware when sizes converge (conflict) Suitable for higher timeframes (H1+). 📈 Strategy 3: Reversal Hunting Principle: Counter-trend entry under certain conditions Conditions: - High field strength (>30%) - Extreme voltage (>±40%) - Divergence with price (e.g., new price high with declining voltage) ⚠️ High risk — Use small position size. 📈 Strategy 4: Integration with Technical Analysis Strong Confirmation Examples: - Resistance breakout + Bullish discharge = Excellent buy signal - Support break + Bearish discharge = Excellent sell signal - Head & Shoulders pattern + Increasing negative voltage = Pattern confirmation - RSI divergence + High field strength = Potential reversal █ Ready Alerts Bullish Discharge - Condition: discharge_prob ≥ 0.9 + Positive voltage + All filters - Message: "⚡ Bullish discharge" - Use: High probability buy opportunity Bearish Discharge - Condition: discharge_prob ≥ 0.9 + Negative voltage + All filters - Message: "⚡ Bearish discharge" - Use: High probability sell opportunity ✅ Tip: Use these alerts with "Once Per Bar" setting to avoid repetition. █ Data Window Outputs Bias - Values: −1 / 0 / +1 - Interpretation: −1 = Bearish, 0 = Neutral, +1 = Bullish - Use: For integration in automated strategies Discharge % - Range: 0–100% - Interpretation: Discharge probability - Use: Monitor tension progression (e.g., from 40% to 85% in 5 candles) Field Strength - Range: 0–100% - Interpretation: Conflict intensity - Use: Identify "opportunity window" (25–35% ideal for discharge) Voltage - Range: −100% to +100% - Interpretation: Balance of power - Use: Monitor extremes (potential buying/selling saturation) █ Optimal Settings by Trading Style Scalping - Timeframe: 1M–5M - Lookback: 10–15 - Threshold: 0.5–0.6 - Sensitivity: 1.2–1.5 - Filters: Volume + Volatility Day Trading - Timeframe: 15M–1H - Lookback: 20 - Threshold: 0.7 - Sensitivity: 1.0 - Filters: Volume + Volatility Swing Trading - Timeframe: 4H–D1 - Lookback: 30–50 - Threshold: 0.8 - Sensitivity: 0.8 - Filters: Volatility + Trend Position Trading - Timeframe: D1–W1 - Lookback: 50–100 - Threshold: 0.85–0.95 - Sensitivity: 0.5–0.8 - Filters: All filters █ Tips for Optimal Use 1. Start with Default Settings Try it first as is, then adjust to your style. 2. Watch for Element Alignment Best signals when: - Clear voltage (>│20%│) - Moderate–high field strength (15–35%) - High discharge probability (>70%) 3. Use Multiple Timeframes - Higher timeframe: Determine overall trend - Lower timeframe: Time entry - Ensure signal alignment between frames 4. Integrate with Other Tools - Support/Resistance levels - Trend lines - Candle patterns - Volume indicators 5. Respect Risk Management - Don't risk more than 1–2% of account - Always use stop loss - Don't enter every signal — choose the best █ Important Warnings ⚠️ Not for Standalone Use The indicator is an analytical support tool — don't use it isolated from technical or fundamental analysis. ⚠️ Doesn't Predict the Future Calculations are based on historical data — Results are not guaranteed. ⚠️ Markets Differ You may need to adjust settings for each market: - Forex: Focus on Volume Filter - Stocks: Add Trend Filter - Crypto: Lower Threshold slightly (more volatile) ⚠️ News and Events The indicator doesn't account for sudden news — Avoid trading before/during major news. █ Unique Features ✅ First Application of Electromagnetism to Markets Innovative mathematical model — Not just an ordinary indicator ✅ Predictive Detection of Price Explosions Alerts before the move happens — Not after ✅ Multi-Layer Filtering 4 smart filters reduce false signals to minimum ✅ Smart Volatility Adaptation Automatically adjusts sensitivity based on market conditions ✅ Animated 3D Visual Representation Makes reading instant — Even for beginners ✅ High Flexibility Works on all assets: Stocks, Forex, Crypto, Commodities ✅ Built-in Ready Alerts No complex setup needed — Ready for immediate use █ Conclusion: When Art Meets Science Market Electromagnetic Field is not just an indicator — but a new analytical philosophy. It's the bridge between: - Physics precision in describing dynamic systems - Market intelligence in generating trading opportunities - Visual psychology in facilitating instant reading The result: A tool that isn't read — but watched, felt, and sensed. When you see the green sphere expanding, the glow intensifying, and particles rushing rightward — you're not seeing numbers, you're seeing market energy breathing. ⚠️ Disclaimer: This indicator is for educational and analytical purposes only. It does not constitute financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is liable for any financial decisions or losses. المجال الكهرومغناطيسي للسوق - Market Electromagnetic Field مؤشر تحليلي مبتكر يقدّم نموذجًا جديدًا كليًّا لفهم ديناميكيات السوق، مستوحى من قوانين الفيزياء الكهرومغناطيسية — لكنه ليس استعارة بلاغية، بل نظام رياضي متكامل. على عكس المؤشرات التقليدية التي تُركّز على السعر أو الزخم، يُصوّر هذا المؤشر السوق كـنظام فيزيائي مغلق، حيث: ⚡ الشموع = شحنات كهربائية (موجبة عند الإغلاق الصاعد، سالبة عند الهابط) ⚡ المشتريون والبائعون = قطبان متعاكسان يتراكم فيهما الضغط ⚡ التوتر السوقي = فرق جهد بين القطبين ⚡ الاختراق السعري = تفريغ كهربائي بعد تراكم طاقة كافية █ الفكرة الجوهرية الأسواق لا تتحرك عشوائيًّا، بل تخضع لدورة فيزيائية واضحة: تراكم → توتر → تفريغ → استقرار → تراكم جديد عندما تتراكم الشحنات (من خلال شموع قوية بحجم مرتفع) وتتجاوز "السعة الكهربائية" عتبة معيّنة، يُصدر المؤشر تنبيه "⚡ DISCHARGE IMMINENT" — أي أن انفجارًا سعريًّا وشيكًا، مما يمنح المتداول فرصة الدخول قبل بدء الحركة. █ الميزة التنافسية - تنبؤ استباقي (ليس تأكيديًّا بعد الحدث) - فلترة ذكية متعددة الطبقات تقلل الإشارات الكاذبة - تمثيل بصري ثلاثي الأبعاد متحرك يجعل قراءة الحالة السعرية فورية وبديهية — دون حاجة لتحليل أرقام █ الأساس النظري الفيزيائي المؤشر لا يستخدم مصطلحات فيزيائية للزينة، بل يُطبّق القوانين الرياضية مع تعديلات سوقيّة دقيقة: ⚡ قانون كولوم (Coulomb's Law) الفيزياء: F = k × (q₁ × q₂) / r² السوق: شدة الحقل = 4 × norm_positive × norm_negative تصل لذروتها عند التوازن (0.5 × 0.5 × 4 = 1.0)، وتنخفض عند الهيمنة — لأن الصراع يزداد عند التكافؤ. ⚡ قانون أوم (Ohm's Law) الفيزياء: V = I × R السوق: الجهد = norm_positive − norm_negative يقيس ميزان القوى: - +1 = هيمنة شرائية مطلقة - −1 = هيمنة بيعية مطلقة - 0 = توازن ⚡ السعة الكهربائية (Capacitance) الفيزياء: C = Q / V السوق: السعة = |الجهد| × شدة الحقل تمثّل الطاقة المخزّنة القابلة للتفريغ — تزداد عند وجود تحيّز مع تفاعل عالي. ⚡ التفريغ الكهربائي (Discharge) الفيزياء: يحدث عند تجاوز عتبة العزل السوق: احتمال التفريغ = min(السعة / عتبة التفريغ, 1.0) عندما ≥ 0.9: "⚡ DISCHARGE IMMINENT" 📌 ملاحظة جوهرية: أقصى سعة لا تحدث عند الهيمنة المطلقة (حيث شدة الحقل = 0)، ولا عند التوازن التام (حيث الجهد = 0)، بل عند انحياز متوسط (±30–50%) مع تفاعل عالي (شدة حقل > 25%) — أي في لحظات "الضغط قبل الاختراق". █ آلية الحساب التفصيلية ⚡ المرحلة 1: قطبية الشمعة polarity = (close − open) / (high − low) - +1.0: شمعة صاعدة كاملة (ماروبوزو صاعد) - −1.0: شمعة هابطة كاملة (ماروبوزو هابط) - 0.0: دوجي (لا قرار) - القيم الوسيطة: تمثّل نسبة جسم الشمعة إلى مداها — مما يقلّل تأثير الشموع ذات الظلال الطويلة ⚡ المرحلة 2: وزن الحجم vol_weight = volume / SMA(volume, lookback) شمعة بحجم 150% من المتوسط = شحنة أقوى بـ 1.5 مرة ⚡ المرحلة 3: معامل التكيف (Adaptive Factor) adaptive_factor = ATR(lookback) / SMA(ATR, lookback × 2) - في الأسواق المتقلبة: يزيد الحساسية - في الأسواق الهادئة: يقلل الضوضاء - يوصى دائمًا بتركه مفعّلًا ⚡ المرحلة 4–6: تراكم وتوحيد الشحنات تُجمّع الشحنات على lookback شمعة، ثم تُوحّد النسب: norm_positive = positive_charge / total_charge norm_negative = negative_charge / total_charge بحيث: norm_positive + norm_negative = 1 — لتسهيل المقارنة ⚡ المرحلة 7: حسابات الحقل voltage = norm_positive − norm_negative field_intensity = 4 × norm_positive × norm_negative × field_sensitivity capacitance = |voltage| × field_intensity discharge_prob = min(capacitance / discharge_threshold, 1.0) █ الإعدادات ⚡ Electromagnetic Model Lookback Period - الافتراضي: 20 - النطاق: 5–100 - التوصيات: - المضاربة: 10–15 - اليومي: 20 - السوينغ: 30–50 - الاستثمار: 50–100 Discharge Threshold - الافتراضي: 0.7 - النطاق: 0.3–0.95 - التوصيات: - سرعة + ضوضاء: 0.5–0.6 - توازن: 0.7 - دقة عالية: 0.8–0.95 Field Sensitivity - الافتراضي: 1.0 - النطاق: 0.5–2.0 - التوصيات: - تضخيم الصراع: 1.2–1.5 - طبيعي: 1.0 - تهدئة: 0.5–0.8 Adaptive Mode - الافتراضي: مفعّل - أبقِه دائمًا مفعّلًا 🔬 Dynamic Filters يجب اجتياز جميع الفلاتر المفعّلة لظهور إشارة التفريغ. Volume Filter - الشرط: volume > SMA(volume) × vol_multiplier - الوظيفة: يستبعد الشموع "الضعيفة" غير المدعومة بحجم - التوصية: مفعّل (خاصة للأسهم والعملات) Volatility Filter - الشرط: STDEV > SMA(STDEV) × 0.5 - الوظيفة: يتجاهل فترات الركود الجانبي - التوصية: مفعّل دائمًا Trend Filter - الشرط: توافق الجهد مع EMA سريع/بطيء - الوظيفة: يقلل الإشارات المعاكسة للاتجاه العام - التوصية: مفعّل للسوينغ/الاستثمار فقط Volume Threshold - الافتراضي: 1.2 - التوصيات: - 1.0–1.2: حساسية عالية - 1.5–2.0: حصرية للحجم العالي 🎨 Visual Settings الإعدادات تُحسّن تجربة القراءة البصرية — لا تؤثر على الحسابات. Scale Factor - الافتراضي: 600 - كلما زاد: المشهد أكبر (200–1200) Horizontal Shift - الافتراضي: 180 - إزاحة أفقيّة لليسار — ليركّز على آخر شمعة Pole Size - الافتراضي: 60 - حجم الكرات الأساسية (30–120) Field Lines - الافتراضي: 8 - عدد خطوط الحقل (4–16) — 8 توازن مثالي الألوان - أخضر/أحمر/أزرق/برتقالي - قابلة للتخصيص بالكامل █ التمثيل البصري: لغة بصرية لتشخيص الحالة السعرية ✨ الفلسفة التصميمية التمثيل ليس "زينة"، بل نموذج معرفي متكامل — كل عنصر يحمل معلومة، وتفاعل العناصر يروي قصة كاملة. العقل يدرك التغيير في الحجم، اللون، والحركة أسرع بـ 60,000 مرة من قراءة الأرقام — لذا يمكنك "الإحساس" بالتغير قبل أن تُنهي العين المسح. ═════════════════════════════════════════════════════════════ 🟢 القطب الموجب (الكرة الخضراء — يسار) ═════════════════════════════════════════════════════════════ ماذا يمثّل؟ تراكم ضغط الشراء النشط — ليس مجرد اتجاه صاعد، بل قوة طلب حقيقية مدعومة بحجم وتقلّب. ● الحجم المتغير حجم = pole_size × (0.7 + norm_positive × 0.6) - 70% من الحجم الأساسي = لا شحنة تُذكر - 130% من الحجم الأساسي = هيمنة تامة - كلما كبرت الكرة: زاد تفوّق المشترين، وارتفع احتمال الاستمرار الصعودي تفسير الحجم: - كرة كبيرة (>55%): ضغط شراء قوي — المشترون يسيطرون - كرة متوسطة (45–55%): توازن نسبي مع ميل للشراء - كرة صغيرة (<45%): ضعف ضغط الشراء — البائعون يسيطرون ● الإضاءة والشفافية - شفافية 20% (عند Bias = +1): القطب نشط حالياً — الاتجاه صعودي - شفافية 50% (عند Bias ≠ +1): القطب غير نشط — ليس الاتجاه السائد الإضاءة = النشاط الحالي، بينما الحجم = التراكم التاريخي ● التوهج الداخلي النابض كرة أصغر تنبض تلقائيًّا عند Bias = +1: inner_pulse = 0.4 + 0.1 × sin(anim_time × 3) يرمز إلى استمرارية تدفق أوامر الشراء — وليس هيمنة جامدة. ● الحلقات المدارية حلقتان تدوران بسرعات واتجاهات مختلفة: - الداخلية: 1.3× حجم الكرة — نطاق التأثير المباشر - الخارجية: 1.6× حجم الكرة — نطاق التأثير الممتد تمثّل "نطاق تأثير" المشترين: - الدوران المستمر = استقرار وزخم - التباطؤ = نفاد الزخم ● النسبة المئوية تظهر تحت الكرة: norm_positive × 100 - >55% = هيمنة واضحة - 45–55% = توازن - <45% = ضعف ═════════════════════════════════════════════════════════════ 🔴 القطب السالب (الكرة الحمراء — يمين) ═════════════════════════════════════════════════════════════ ماذا يمثّل؟ تراكم ضغط البيع النشط — سواء كان بيعًا تراكميًّا (التوزيع الذكي) أو بيعًا هستيريًّا (تصفية مراكز). ● الديناميكيات البصرية نفس آلية الحجم والإضاءة والتوهج الداخلي — لكن باللون الأحمر. الفرق الجوهري: - الدوران معكوس (عكس اتجاه عقارب الساعة) - يُميّز بصريًّا بين "تدفق الشراء" و"تدفق البيع" - يسمح بقراءة الاتجاه بنظرة واحدة — حتى للمصابين بعَمَى الألوان 📌 ملخص قراءة القطبين: 🟢 كرة خضراء كبيرة + مضيئة = قوة شرائية نشطة 🔴 كرة حمراء كبيرة + مضيئة = قوة بيعية نشطة 🟢🔴 كرتان كبيرتان لكن خافتتان = تراكم طاقة (قبل التفريغ) ⚪ كرتان صغيرتان = ركود / سيولة منخفضة ═════════════════════════════════════════════════════════════ 🔵 خطوط الحقل (الخطوط الزرقاء المنحنية) ═════════════════════════════════════════════════════════════ ماذا تمثّل؟ مسارات تدفق الطاقة بين القطبين — أي الساحة التي تُدار فيها المعركة السعرية. ● عدد الخطوط 4–16 خط (الافتراضي: 8) كلما زاد العدد: زاد إحساس "كثافة التفاعل" ● ارتفاع القوس arc_h = (i − half_lines) × 15 × field_intensity × 2 - شدة حقل عالية = خطوط شديدة الارتفاع (مثل موجة) - شدة منخفضة = خطوط شبه مستقيمة ● الشفافية المتذبذبة transp = 30 + phase × 40 حيث phase = sin(anim_time × 2 + i × 0.5) × 0.5 + 0.5 تخلق وهم "تيّار متدفّق" — وليس خطوطًا ثابتة ● الانحناء غير المتناظر - الخطوط العلوية تنحني لأعلى - الخطوط السفلية تنحني لأسفل - يُضفي عمقًا ثلاثي الأبعاد ويُظهر اتجاه "الضغط" ⚡ تلميح احترافي: عندما ترى الخطوط "تتقلّص" فجأة (تستقيم)، بينما الكرتان كبيرتان — فهذا مؤشر مبكر على قرب التفريغ، لأن التفاعل بدأ يفقد مرونته. ═════════════════════════════════════════════════════════════ ⚪ الجزيئات المتحركة ═════════════════════════════════════════════════════════════ ماذا تمثّل؟ تدفق السيولة الحقيقية في السوق — أي من يدفع السعر الآن. ● العدد والحركة - 6 جزيئات تغطي معظم خطوط الحقل - تتحرك جيبيًّا على طول القوس: t = (sin(phase_val) + 1) / 2 - سرعة عالية = نشاط تداول عالي - تجمّع عند قطب = سيطرة هذا الطرف ● تدرج اللون من أخضر (عند القطب الموجب) إلى أحمر (عند السالب) يُظهر "تحوّل الطاقة": - جزيء أخضر = طاقة شرائية نقية - جزيء برتقالي = منطقة صراع - جزيء أحمر = طاقة بيعية نقية 📌 كيف تقرأها؟ - تحركت من اليسار لليمين (🟢 → 🔴): تدفق شرائي → دفع صعودي - تحركت من اليمين لليسار (🔴 → 🟢): تدفق بيعي → دفع هبوطي - تجمّعت في المنتصف: صراع متكافئ — انتظر اختراقًا ═════════════════════════════════════════════════════════════ 🟠 منطقة التفريغ (التوهج البرتقالي — المركز) ═════════════════════════════════════════════════════════════ ماذا تمثّل؟ نقطة تراكم الطاقة المخزّنة التي لم تُفرّغ بعد — قلب نظام الإنذار المبكر. ● مراحل التوهج إنذار أولي (discharge_prob > 0.3): - دائرة برتقالية خافتة (شفافية 70%) - المعنى: راقب، لا تدخل بعد توتر عالي (discharge_prob ≥ 0.7): - توهج أقوى + نص "⚠️ HIGH TENSION" - المعنى: استعد — ضع أوامر معلقة تفريغ وشيك (discharge_prob ≥ 0.9): - توهج ساطع + نص "⚡ DISCHARGE IMMINENT" - المعنى: ادخل مع الاتجاه (بعد تأكيد شمعة) ● تأثير التوهج الطبقي (Glow Layering) 3 دوائر متحدة المركز بشفافية متزايدة: - داخلي: 20% - وسط: 35% - خارجي: 50% النتيجة: هالة (Aura) واقعية تشبه التفريغ الكهربائي الحقيقي. 📌 لماذا في المركز؟ لأن التفريغ يبدأ دائمًا من منطقة التوازن النسبي — حيث يلتقي الضغطان المتعاكسان. ═════════════════════════════════════════════════════════════ 📊 مقياس الجهد (أسفل المشهد) ═════════════════════════════════════════════════════════════ ماذا يمثّل؟ مؤشر رقمي مبسّط لفرق الجهد — لمن يفضّل القراءة العددية. ● المكونات - الشريط الرمادي: النطاق الكامل (−100% إلى +100%) - التعبئة الخضراء: جهد موجب (تمتد لليمين) - التعبئة الحمراء: جهد سالب (تمتد لليسار) - رمز البرق (⚡): فوق المركز — تذكير بأنه "مقياس كهربائي" - القيمة النصية: مثل "+23.4%" — بلون الاتجاه ● تفسير قراءات الجهد +50% إلى +100%: هيمنة شرائية ساحقة — احذر التشبع، قد يسبق تصحيح +20% إلى +50%: هيمنة شرائية قوية — مناسب للشراء مع الاتجاه +5% إلى +20%: ميل صعودي خفيف — انتظر تأكيدًا إضافيًّا −5% إلى +5%: توازن/حياد — تجنّب الدخول أو انتظر اختراقًا −5% إلى −20%: ميل هبوطي خفيف — انتظر تأكيدًا −20% إلى −50%: هيمنة بيعية قوية — مناسب للبيع مع الاتجاه −50% إلى −100%: هيمنة بيعية ساحقة — احذر التشبع، قد يسبق ارتداد ═════════════════════════════════════════════════════════════ 📈 مؤشر شدة الحقل (أعلى المشهد) ═════════════════════════════════════════════════════════════ ما يعرضه: "Field: XX.X%" الدلالة: قوة الصراع بين المشترين والبائعين. ● تفسير القراءات 0–5%: - المظهر: خطوط مستقيمة تقريبًا، شفافة - المعنى: سيطرة تامة لأحد الطرفين - الاستراتيجية: تتبع الترند (Trend Following) 5–15%: - المظهر: انحناء خفيف - المعنى: اتجاه واضح مع مقاومة خفيفة - الاستراتيجية: الدخول مع الاتجاه 15–25%: - المظهر: انحناء متوسط، خطوط واضحة - المعنى: صراع متوازن - الاستراتيجية: تداول النطاق أو الانتظار 25–35%: - المظهر: انحناء عالي، كثافة واضحة - المعنى: صراع قوي، عدم يقين عالي - الاستراتيجية: تداول التقلّب أو الاستعداد للتفريغ 35%+: - المظهر: خطوط عالية جدًّا، توهج قوي - المعنى: ذروة التوتر - الاستراتيجية: أفضل فرص التفريغ 📌 العلاقة الذهبية: أعلى احتمال تفريغ عندما: شدة الحقل (25–35%) + جهد (±30–50%) + حجم مرتفع ← هذه هي "المنطقة الحمراء" التي يجب مراقبتها بدقة. █ قراءة التمثيل البصري الشاملة لقراءة حالة السوق بنظرة واحدة، اتبع هذا التسلسل: الخطوة 1: أي كرة أكبر؟ - 🟢 الخضراء أكبر ← ضغط شراء مهيمن - 🔴 الحمراء أكبر ← ضغط بيع مهيمن - متساويتان ← توازن/صراع الخطوة 2: أي كرة مضيئة؟ - 🟢 الخضراء مضيئة ← اتجاه صعودي حالي - 🔴 الحمراء مضيئة ← اتجاه هبوطي حالي - كلاهما خافت ← حياد/لا اتجاه واضح الخطوة 3: هل يوجد توهج برتقالي؟ - لا يوجد ← احتمال تفريغ <30% - 🟠 توهج خافت ← احتمال تفريغ 30–70% - 🟠 توهج قوي مع نص ← احتمال تفريغ >70% الخطوة 4: ما قراءة مقياس الجهد؟ - موجب قوي ← تأكيد الهيمنة الشرائية - سالب قوي ← تأكيد الهيمنة البيعية - قريب من الصفر ← لا اتجاه واضح █ أمثلة عملية للقراءة البصرية المثال 1: فرصة شراء مثالية ⚡🟢 - الكرة الخضراء: كبيرة ومضيئة مع نبض داخلي - الكرة الحمراء: صغيرة وخافتة - التوهج البرتقالي: قوي مع نص "DISCHARGE IMMINENT" - مقياس الجهد: +45% - شدة الحقل: 28% التفسير: ضغط شراء قوي متراكم، انفجار صعودي وشيك المثال 2: فرصة بيع مثالية ⚡🔴 - الكرة الخضراء: صغيرة وخافتة - الكرة الحمراء: كبيرة ومضيئة مع نبض داخلي - التوهج البرتقالي: قوي مع نص "DISCHARGE IMMINENT" - مقياس الجهد: −52% - شدة الحقل: 31% التفسير: ضغط بيع قوي متراكم، انفجار هبوطي وشيك المثال 3: توازن/انتظار ⚖️ - الكرتان: متساويتان تقريباً في الحجم - الإضاءة: كلاهما خافت - التوهج البرتقالي: قوي - مقياس الجهد: +3% - شدة الحقل: 24% التفسير: صراع قوي بدون فائز واضح، انتظر اختراقًا المثال 4: اتجاه صعودي واضح (لا تفريغ) 📈 - الكرة الخضراء: كبيرة ومضيئة - الكرة الحمراء: صغيرة جداً وخافتة - التوهج البرتقالي: لا يوجد - مقياس الجهد: +68% - شدة الحقل: 8% التفسير: سيطرة شرائية واضحة، صراع محدود، مناسب لتتبع الترند الصعودي المثال 5: تشبع شرائي محتمل ⚠️ - الكرة الخضراء: كبيرة جداً ومضيئة - الكرة الحمراء: صغيرة جداً - التوهج البرتقالي: خافت - مقياس الجهد: +88% - شدة الحقل: 4% التفسير: هيمنة شرائية مطلقة، قد يسبق تصحيحاً هبوطياً █ إشارات التداول ⚡ DISCHARGE IMMINENT (التفريغ الوشيك) شروط الظهور: - discharge_prob ≥ 0.9 - اجتياز جميع الفلاتر المفعّلة - Confirmed (بعد إغلاق الشمعة) التفسير: - تراكم طاقة كبير جدًّا - الضغط وصل لمستوى حرج - انفجار سعري متوقع خلال 1–3 شموع كيفية التداول: 1. حدد اتجاه الجهد: • موجب = توقع صعود • سالب = توقع هبوط 2. انتظر شمعة تأكيدية: • للصعود: شمعة صاعدة تغلق فوق افتتاحها • للهبوط: شمعة هابطة تغلق تحت افتتاحها 3. الدخول: مع افتتاح الشمعة التالية 4. وقف الخسارة: وراء آخر قاع/قمة محلية 5. الهدف: نسبة مخاطرة/عائد 1:2 على الأقل ✅ نصائح احترافية: - أفضل النتائج عند دمجها مع مستويات الدعم/المقاومة - تجنّب الدخول إذا كان الجهد قريبًا من الصفر (±5%) - زِد حجم المركز عند شدة حقل > 30% ⚠️ HIGH TENSION (التوتر العالي) شروط الظهور: - 0.7 ≤ discharge_prob < 0.9 التفسير: - السوق في حالة تراكم طاقة - احتمال حركة قوية قريبة، لكن ليست فورية - قد يستمر التراكم أو يحدث تفريغ كيفية الاستفادة: - الاستعداد: حضّر أوامر معلقة عند الاختراقات المحتملة - المراقبة: راقب الشموع التالية بحثًا عن شمعة دافعة - الانتقاء: لا تدخل كل إشارة — اختر تلك التي تتوافق مع الاتجاه العام █ استراتيجيات التداول 📈 استراتيجية 1: تداول التفريغ (الأساسية) المبدأ: الدخول عند "DISCHARGE IMMINENT" في اتجاه الجهد الخطوات: 1. انتظر ظهور "⚡ DISCHARGE IMMINENT" 2. تحقق من اتجاه الجهد (+/−) 3. انتظر شمعة تأكيدية في اتجاه الجهد 4. ادخل مع افتتاح الشمعة التالية 5. وقف الخسارة وراء آخر قاع/قمة 6. الهدف: نسبة 1:2 أو 1:3 نسبة نجاح عالية جدًّا عند الالتزام بشروط التأكيد. 📈 استراتيجية 2: تتبع الهيمنة المبدأ: التداول مع القطب المهيمن (الكرة الأكبر والأكثر إضاءة) الخطوات: 1. حدد القطب المهيمن (الأكبر حجماً والأكثر إضاءة) 2. تداول في اتجاهه 3. احذر عند تقارب الأحجام (صراع) مناسبة للإطارات الزمنية الأعلى (H1+). 📈 استراتيجية 3: صيد الانعكاس المبدأ: الدخول عكس الاتجاه عند ظروف معينة الشروط: - شدة حقل عالية (>30%) - جهد متطرف (>±40%) - تباعد مع السعر (مثل: قمة سعرية جديدة مع تراجع الجهد) ⚠️ عالية المخاطرة — استخدم حجم مركز صغير. 📈 استراتيجية 4: الدمج مع التحليل الفني أمثلة تأكيد قوي: - اختراق مقاومة + تفريغ صعودي = إشارة شراء ممتازة - كسر دعم + تفريغ هبوطي = إشارة بيع ممتازة - نموذج Head & Shoulders + جهد سالب متزايد = تأكيد النموذج - تباعد RSI + شدة حقل عالية = انعكاس محتمل █ التنبيهات الجاهزة Bullish Discharge - الشرط: discharge_prob ≥ 0.9 + جهد موجب + جميع الفلاتر - الرسالة: "⚡ Bullish discharge" - الاستخدام: فرصة شراء عالية الاحتمالية Bearish Discharge - الشرط: discharge_prob ≥ 0.9 + جهد سالب + جميع الفلاتر - الرسالة: "⚡ Bearish discharge" - الاستخدام: فرصة بيع عالية الاحتمالية ✅ نصيحة: استخدم هذه التنبيهات مع إعداد "Once Per Bar" لتجنب التكرار. █ المخرجات في نافذة البيانات Bias - القيم: −1 / 0 / +1 - التفسير: −1 = هبوطي، 0 = حياد، +1 = صعودي - الاستخدام: لدمجها في استراتيجيات آلية Discharge % - النطاق: 0–100% - التفسير: احتمال التفريغ - الاستخدام: مراقبة تدرّج التوتر (مثال: من 40% إلى 85% في 5 شموع) Field Strength - النطاق: 0–100% - التفسير: شدة الصراع - الاستخدام: تحديد "نافذة الفرص" (25–35% مثالية للتفريغ) Voltage - النطاق: −100% إلى +100% - التفسير: ميزان القوى - الاستخدام: مراقبة التطرف (تشبع شرائي/بيعي محتمل) █ الإعدادات المثلى حسب أسلوب التداول المضاربة (Scalping) - الإطار: 1M–5M - Lookback: 10–15 - Threshold: 0.5–0.6 - Sensitivity: 1.2–1.5 - الفلاتر: Volume + Volatility التداول اليومي (Day Trading) - الإطار: 15M–1H - Lookback: 20 - Threshold: 0.7 - Sensitivity: 1.0 - الفلاتر: Volume + Volatility السوينغ (Swing Trading) - الإطار: 4H–D1 - Lookback: 30–50 - Threshold: 0.8 - Sensitivity: 0.8 - الفلاتر: Volatility + Trend الاستثمار (Position Trading) - الإطار: D1–W1 - Lookback: 50–100 - Threshold: 0.85–0.95 - Sensitivity: 0.5–0.8 - الفلاتر: جميع الفلاتر █ نصائح للاستخدام الأمثل 1. ابدأ بالإعدادات الافتراضية جرّبه أولًا كما هو، ثم عدّل حسب أسلوبك. 2. راقب التوافق بين العناصر أفضل الإشارات عندما: - الجهد واضح (>│20%│) - شدة الحقل معتدلة–عالية (15–35%) - احتمال التفريغ مرتفع (>70%) 3. استخدم أطر زمنية متعددة - الإطار الأعلى: تحديد الاتجاه العام - الإطار الأدنى: توقيت الدخول - تأكد من توافق الإشارات بين الأطر 4. دمج مع أدوات أخرى - مستويات الدعم/المقاومة - خطوط الاتجاه - أنماط الشموع - مؤشرات الحجم 5. احترم إدارة المخاطرة - لا تخاطر بأكثر من 1–2% من الحساب - استخدم دائمًا وقف الخسارة - لا تدخل كل الإشارات — اختر الأفضل █ تحذيرات مهمة ⚠️ ليس للاستخدام المنفرد المؤشر أداة تحليل مساعِدة — لا تستخدمه بمعزل عن التحليل الفني أو الأساسي. ⚠️ لا يتنبأ بالمستقبل الحسابات مبنية على البيانات التاريخية — النتائج ليست مضمونة. ⚠️ الأسواق تختلف قد تحتاج لضبط الإعدادات لكل سوق: - العملات: تركّز على Volume Filter - الأسهم: أضف Trend Filter - الكريبتو: خفّض Threshold قليلًا (أكثر تقلّبًا) ⚠️ الأخبار والأحداث المؤشر لا يأخذ في الاعتبار الأخبار المفاجئة — تجنّب التداول قبل/أثناء الأخبار الرئيسية. █ الميزات الفريدة ✅ أول تطبيق للكهرومغناطيسية على الأسواق نموذج رياضي مبتكر — ليس مجرد مؤشر عادي ✅ كشف استباقي للانفجارات السعرية يُنبّه قبل حدوث الحركة — وليس بعدها ✅ تصفية متعددة الطبقات 4 فلاتر ذكية تقلل الإشارات الكاذبة إلى الحد الأدنى ✅ تكيف ذكي مع التقلب يضبط حساسيته تلقائيًّا حسب ظروف السوق ✅ تمثيل بصري ثلاثي الأبعاد متحرك يجعل القراءة فورية — حتى للمبتدئين ✅ مرونة عالية يعمل على جميع الأصول: أسهم، عملات، كريبتو، سلع ✅ تنبيهات مدمجة جاهزة لا حاجة لإعدادات معقدة — جاهز للاستخدام الفوري █ خاتمة: عندما يلتقي الفن بالعلم Market Electromagnetic Field ليس مجرد مؤشر — بل فلسفة تحليلية جديدة. هو الجسر بين: - دقة الفيزياء في وصف الأنظمة الديناميكية - ذكاء السوق في توليد فرص التداول - علم النفس البصري في تسهيل القراءة الفورية النتيجة: أداة لا تُقرأ — بل تُشاهد، تُشعر، وتُستشعر. عندما ترى الكرة الخضراء تتوسع، والتوهج يصفرّ، والجزيئات تندفع لليمين — فأنت لا ترى أرقامًا، بل ترى طاقة السوق تتنفّس. ⚠️ إخلاء مسؤولية: هذا المؤشر لأغراض تعليمية وتحليلية فقط. لا يُمثل نصيحة مالية أو استثمارية أو تداولية. استخدمه بالتزامن مع استراتيجيتك الخاصة وإدارة المخاطر. لا يتحمل TradingView ولا المطور مسؤولية أي قرارات مالية أو خسائر.
Indicatore Pine Script®
di The_lurker
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