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Session candles & reversals / quantifytools— Overview Like traditional candles, session based candles are a visualization of open, high, low and close values, but based on session time periods instead of typical timeframes such as daily or weekly. Session candles are formed by fetching price at session start (open), highest price during session (high), lowest price during session (low) and price at session end (close). On top of candles, session based moving average is formed and session reversals detected. Session reversals are also backtested, using win rate and magnitude metrics to better understand what to expect from session reversals and which ones have historically performed the best. By default, following session time periods are used: Session #1: London (08:00 - 17:00, UTC) Session #2: New York (13:00 - 22:00, UTC) Session #3: Sydney (21:00 - 06:00, UTC) Session #4: Tokyo (00:00 - 09:00, UTC) Session time periods can be changed via input menu. — Reversals Session reversals are patterns that show a rapid change in direction during session. These formations are more familiarly known as wicks or engulfing candles. Following criteria must be met to qualify as a session reversal: Wick up: Lower high, lower low, close >= 65% of session range (0% being the very low, 100% being the very high) and open >= 40% of session range. Wick down: Higher high, higher low, close <= 35% of session range and open <= 60% of session range. Engulfing up: Higher high, lower low, close >= 65% of session range. Engulfing down: Higher high, lower low, close <= 35% of session range. Session reversals are always based on prior corresponding session , e.g. to qualify as a NY session engulfing up, NY session must have a higher high and lower low relative to prior NY session , not just any session that has taken place in between. Session reversals should be viewed the same way wicks/engulfing formations are viewed on traditional timeframe based candles. Essentially, wick reversals (light green/red labels) tell you most of the motion during session was reversed. Engulfing reversals (dark green/red labels) on the other hand tell you all of the motion was reversed and new direction set. — Backtesting Session reversals are backtested using win rate and magnitude metrics. A session reversal is considered successful when next corresponding session closes higher/lower than session reversal close . Win rate is formed by dividing successful session reversal count with total reversal count, e.g. 5 successful reversals up / 10 reversals up total = 50% win rate. Win rate tells us what are the odds (historically) of session reversal producing a clean supporting move that was persistent enough to close that way too. When a session reversal is successful, its magnitude is measured using percentage increase/decrease from session reversal close to next corresponding session high/low . If NY session closes higher than prior NY session that was a reversal up, the percentage increase from prior session close (reversal close) to current session high is measured. If NY session closes lower than prior NY session that was a reversal down, the percentage decrease from prior session close to current session low is measured. Average magnitude is formed by dividing all percentage increases/decreases with total reversal count, e.g. 10 total reversals up with 1% increase each -> 10% net increase from all reversals -> 10% total increase / 10 total reversals up = 1% average magnitude. Magnitude metric supports win rate by indicating the depth of successful session reversal moves. To better understand the backtesting calculations and more importantly to verify their validity, backtesting visuals for each session can be plotted on the chart: All backtesting results are shown in the backtesting panel on top right corner, with highest win rates and magnitude metrics for both reversals up and down marked separately. Note that past performance is not a guarantee of future performance and session reversals as they are should not be viewed as a complete strategy for long/short plays. Always make sure reversal count is sufficient to draw reliable conclusions of performance. — Session moving average Users can form a session based moving average with their preferred smoothing method (SMA , EMA , HMA , WMA , RMA) and length, as well as choose which sessions to include in the moving average. For example, a moving average based on New York and Tokyo sessions can be formed, leaving London and Sydney completely out of the calculation. — Visuals By default, script hides your candles/bars, although in the case of candles borders will still be visible. Switching to bars/line will make your regular chart visuals 100% hidden. This setting can be turned off via input menu. As some sessions overlap, each session candle can be separately offsetted forward, clearing the overlaps. Users can also choose which session candles to show/hide. Session periods can be highlighted on the chart as a background color, applicable to only session candles that are activated. By default, session reversals are referred to as L (London), N (New York), S (Sydney) and T (Tokyo) in both reversal labels and backtesting table. By toggling on "Numerize sessions", these will be replaced with 1, 2, 3 and 4. This will be helpful when using a custom session that isn't any of the above. Visual settings example: Session candles are plotted in two formats, using boxes and lines as well as plotcandle() function. Session candles constructed using boxes and lines will be clear and much easier on the eyes, but will apply only to first 500 bars due to Tradingview related limitations. Rest of the session candles go back indefinitely, but won't be as clean: All colors can be customized via input menu. — Timeframe & session time period considerations As a rule of thumb, session candles should be used on timeframes at or below 1H, as higher timeframes might not match with session period start/end, leading to incorrect plots. Using 1 hour timeframe will bring optimal results as greatest amount historical data is available without sacrificing accuracy of OHLC values. If you are using a custom session that is not based on hourly period (e.g. 08:00 - 15:00 vs. 08.00 - 15.15) make sure you are using a timeframe that allows correct plots. Session time periods applied by default are rough estimates and might be out of bounds on some charts, like NYSE listed equities. This is rarely a problem on assets that have extensive trading hours, like futures or cryptocurrency. If a session is out of bounds (asset isn't traded during the set session time period) the script won't plot given session candle and its backtesting metrics will be NA. This can be fixed by changing the session time periods to match with given asset trading hours, although you will have to consider whether or not this defeats the purpose of having candles based on sessions. — Practical guide Whether based on traditional timeframes or sessions, reversals should always be considered as only one piece of evidence of price turning. Never react to them without considering other factors that might support the thesis, such as levels and multi-timeframe analysis. In short, same basic charting principles apply with session candles that apply with normal candles. Use discretion. Example #1 : Focusing efforts on session reversals at distinct support/resistance levels A reversal against a level holds more value than a reversal by itself, as you know it's a placement where liquidity can be expected. A reversal serves as a confirming reaction for this expectation. Example #2 : Focusing efforts on highest performing reversals and avoiding poorly performing ones As you have data backed evidence of session reversal performance, it makes sense to focus your efforts on the ones that perform best. If some session reversal is clearly performing poorly, you would want to avoid it, since there's nothing backing up its validity. Example #3 : Reversal clusters Two is better than one, three is better than two and so on. If there are rapid changes in direction within multiple sessions consecutively, there's heavier evidence of a dynamic shift in price. In such case, it makes sense to hold more confidence in price halting/turning.
Indicatore Pine Script®
di quantifytools
11
Moving Averages SelectionHello everyone, I present my first script. In it I collect a group of fully configurable moving averages, both in color, value and selection of the ones we want to observe. The moving averages I collect are 3 of each of the following types: EMA: An exponential moving average ( EMA ) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. SMA: It is simply the average price over the specified period. The average is called "moving" because it is plotted on the chart bar by bar, forming a line that moves along the chart as the average value changes. HMA: The Hull Moving Average ( HMA ) attempts to minimize the lag of a traditional moving average while retaining the smoothness of the moving average line. Developed by Alan Hull in 2005, this indicator makes use of weighted moving averages to prioritize more recent values and greatly reduce lag. RMA: The Rolling Moving Average, sometimes referred to as "Smoothed Moving Average", gives the recent prices most weighting, though the historic prices are also weighted, each given less weighting further back in time. WMA: The weighted moving average ( WMA ) is a technical indicator that traders use to generate trade direction and make a buy or sell decision. It assigns greater weighting to recent data points and less weighting on past data points. I am open to any opinion and advice for improvement, greetings, I hope you find it useful :)
Indicatore Pine Script®
di fabio11fcv
QQE Student's T-Distribution Bollinger Bands Oscillator Credit to all of the developers on this project (aka all of the places I got the code from lol) @eylwithsteph @storma @Fractured @lejmer @AlexGrover @Montyjus @Jiehonglim @StephXAGs @peacefulLizard50262 @gorx1 @above-c-level This script utilizes @above-c-level 's Student's T-Distribution script to give us a great estimation of volatility. I took this idea and apply it to the QQE filter! That being said I have added a boat load of features as to make this script as useful to as many people as possible. This is the Osc version Included averages: 'TMA', 'ALMA', 'EMA', 'DEMA', 'TEMA', 'WMA', 'VWMA', 'SMA', 'SMMA', 'HMA', 'LSMA', 'JMA', 'VAMA', 'FRAMA', 'ZLEMA', 'KAMA', 'IDWMA', 'FLMSA', 'PEMA', 'HCF', 'TIF', 'MF', 'ARMA', 'DAF', 'WRMA', 'RMA', 'RAF', 'A2RMA', 'QQE 1', 'QQE 2','Centroid',"Harmonic Mean","Geometric Mean","Quadratic Mean","Median","Trimean","Midhinge","Midrange","VWAP" Included Features: Smoothing, Additional Moving Average, Log Space, Mean Momentum via Derivative, Normalization, Convergence DIvergence, Candle View Use this just like macd/rsi but instead this directly reflects the band version! It also shows really valid support and resistance. Use this in combination with the band version for more power.
Indicatore Pine Script®
di The_Peaceful_Lizard
4
QQE Student's T-Distribution Bollinger BandsCredit to all of the developers on this project (aka all of the places I got the code from lol) @eylwithsteph @storma @Fractured @lejmer @AlexGrover @Montyjus @Jiehonglim @StephXAGs @peacefulLizard50262 @gorx1 @above-c-level This script utilizes @above-c-level 's Student's T-Distribution script to give us a great estimation of volatility. I took this idea and apply it to the QQE filter! That being said I have added a boat load of features as to make this script as useful to as many people as possible. Included averages: 'TMA', 'ALMA', 'EMA', 'DEMA', 'TEMA', 'WMA', 'VWMA', 'SMA', 'SMMA', 'HMA', 'LSMA', 'JMA', 'VAMA', 'FRAMA', 'ZLEMA', 'KAMA', 'IDWMA', 'FLMSA', 'PEMA', 'HCF', 'TIF', 'MF', 'ARMA', 'DAF', 'WRMA', 'RMA', 'RAF', 'A2RMA', 'QQE 1', 'QQE 2','Centroid',"Harmonic Mean","Geometric Mean","Quadratic Mean","Median","Trimean","Midhinge","Midrange","VWAP" Included Features: Smoothing, Additional Moving Average, Log Space, Mean Momentum via Derivative Use this just like BB but instead (as long as you are on qqe) you get real prices that are stable! It also shows really valid support and resistance. Use this in combination with the osc version for more power.
Indicatore Pine Script®
di The_Peaceful_Lizard
7
Global & local RSI / quantifytoolsAs the terms global and local imply, global RSI describes broad relative strength, whereas local RSI describes local relative strength within the broad moves. A macro and micro view of relative strength so to speak. Global and local RSI are simply regular RSI and stochastic RSI. Local RSI extremes ( stochastic RSI oversold/overbought) often mark a pivot in RSI which naturally reflects to price. Local RSI extremes are visualized inside the global RSI bands (upper band for overbought, lower band for oversold) in a "heat map" style. By default: Stochastic RSI >= 75 = yellow Stochastic RSI >= 87 = orange Stochastic RSI >= 100 = pink Users also have the ability smooth the RSI with their preferred smoothing method ( SMA , EMA , HMA , RMA, WMA ) and length. This leads to different behavior in RSI, rendering the typical RSI extremes (> 70 or < 30) suboptimal or even useless. By enabling adaptive bands, the extremes are readjusted based on typical RSI pivot points (median pivots ), which gives much more relevant reference points for oversold/overbought conditions in both global and local RSI. This feature can be used without smoothing, but it rarely provides a meaningful difference, unless the RSI calculation length is messed with. Global RSI can be plotted as candles, bars or a line. Candles and bars can be useful for detecting rejections (wicks) in relative strength, the same you would with OHLC data. Sometimes there are "hidden rejections" that are visible in relative strength but not on OHLC data, which naturally gives an advantage. All colors can be adjusted in the input menu. You also have a real-time view of the current RSI states in top right corner. Available alerts are the following: global RSI overbought, global RSI oversold, local RSI overbought and local RSI oversold.
Indicatore Pine Script®
di quantifytools
2
ATR+ Advanced Sessions ATR for DaterangeATR+ Advanced Sessions ATR for Daterange The ATR+ adds the following additional filters to the stock ATR indicator by Tradingview: - Calculates the overall average ATR for a user defined daterange, optionally filtered by trading session and selected weekdays, presented as a secondary line over the standard ATR line. - Basic ATR line, with colour highlight to indicate the selected sessions, days and timeframe being calculated by the average ATR+ line. - Average ATR+ line indicating the average of all ATRs within the defined timeframe, optionally filtered by instances of a selected trading session and selected weekdays. - Customisable appearance. - The ATR+ also includes the basic ATR configuration options typically found in the standard ATR by Tradingview, including period length and smoothing type. Defaults are set to the factory standards: 14 length, RMA smoothing type. What Is the Average True Range (ATR)? The ATR is a technical analysis tool that measures market volatility by decomposing the entire range asset price for that period. Investopedia describes the ATR as follows: "The average true range (ATR) is a technical analysis indicator, introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems, that measures market volatility by decomposing the entire range of an asset price for that period. The true range indicator is taken as the greatest of the following: current high less the current low; the absolute value of the current high less the previous close; and the absolute value of the current low less the previous close. The ATR is then a moving average, generally using 14 days, of the true ranges." For more information on the ATR and its calculations and use cases, see here: Investopedia link here. Tradingview link here. Note The indicator may time out if the number of bars being calculated is too long. If this happens, you will need to reduce the datetime range, or increase the chart timeframe in order to reduce the number of bars being calculated and the indicator will attempt to recalculate.
Indicatore Pine Script®
di PHVNTOM_TRADER
3
Multi Trend Cross Strategy TemplateToday I am sharing with the community trend cross strategy template that incorporates any combination of over 20 built in indicators. Some of these indicators are in the Pine library, and some have been custom coded and contributed over time by the beloved Pine Coder community. Identifying a trend cross is a common trend following strategy and a common custom-code request from the community. Using this template, users can now select from over 400 different potential trend combinations and setup alerts without any custom coding required. This Multi-Trend cross template has a very inclusive library of trend calculations/indicators built-in, and will plot any of the 20+ indicators/trends that you can select in the settings. How it works : Simple trend cross strategies go long when the fast trend crosses over the slow trend, and/or go short when the fast trend crosses under the slow trend. Options for either trend direction are built-in to this strategy template. The script is also coded in a way that allows you to enable/modify pyramid settings and scale into a position over time after a trend has crossed. Use cases : These types of strategies can reduce the volatility of returns and can help avoid large market downswings. For instance, those running a longer term trend-cross strategy may have not realized half the down swing of the bear markets or crashes in 02', 08', 20', etc. However, in other years, they may have exited the market from time to time at unfavorable points that didn't end up being a down turn, or at times the market was ranging sideways. Some also use them to reduce volatility and then add leverage to attempt to beat buy/hold of the underlying asset within an acceptable drawdown threshold. Special thanks to @Duyck, @everget, @KivancOzbilgic and @LazyBear for coding and contributing earlier versions of some of these custom indicators in Pine. This script incorporates all of the following indicators. Each of them can be selected and modified from within the indicator settings: ALMA - Arnaud Legoux Moving Average DEMA - Double Exponential Moving Average DSMA - Deviation Scaled Moving Average - Contributed by Everget EMA - Exponential Moving Average HMA - Hull Moving Average JMA - Jurik Moving Average - Contributed by Everget KAMA - Kaufman's Adaptive Moving Average - Contributed by Everget LSMA - Linear Regression , Least Squares Moving Average RMA - Relative Moving Average SMA - Simple Moving Average SMMA - Smoothed Moving Average Price Source - Plotted based on source selection TEMA - Triple Exponential Moving Average TMA - Triangular Moving Average VAMA - Volume Adjusted Moving Average - Contributed by Duyck VIDYA - Variable Index Dynamic Average - Contributed by KivancOzbilgic VMA - Variable Moving Average - Contributed by LazyBear VWMA - Volume Weighted Moving Average WMA - Weighted Moving Average WWMA - Welles Wilder's Moving Average ZLEMA - Zero Lag Exponential Moving Average - Contributed by KivancOzbilgic Disclaimer : This is not financial advice. Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
Strategia Pine Script®
di TradeAutomation
3
SUPER MULTI MOVING AVERAGE [Gabbo]📈 Moving Average Indicator Update - Version 2 🔹 New Features and Improvements: 1️⃣ Enhanced MA Selection for Table Lines: Previously, the indicator did not allow users to choose a different Moving Average type for the table lines. Now, you can select the MA type for the table. 2️⃣ New Table Text Customization Inputs: Added inputs to choose the table text color and size for a more personalized display. 3️⃣ Improved Input Visibility and Organization: We’ve reorganized the inputs so that the most commonly used options are now placed at the beginning for quicker and more convenient configuration. 4️⃣ Bug Fixes and Code Improvements: Minor bugs have been fixed, and the code has been optimized for improved stability and performance. The code is now cleaner and fully functional in version 6. 5️⃣ Cometreon Public Library Integration: To lighten the code and improve modularity, we’ve integrated the Cometreon public library. This makes the code more efficient and reduces the need to duplicate common functions. ☄️ With this update, the Moving Average indicator becomes even more versatile and user-friendly, offering a refined table interface and enhanced customization options!
Indicatore Pine Script®
di Cometreon
SUPER MACD📈 MACD Indicator Update - Version 2 🔹 New Features and Improvements: 1️⃣ New MACD Calculation Options: Users can now choose from various Moving Averages to calculate the MACD. The default options are SMA (Simple Moving Average) and EMA (Exponential Moving Average), but there are 14 other versions available to experiment with: SMA (Simple Moving Average) EMA (Exponential Moving Average) WMA (Weighted Moving Average) RMA (Smoothed Moving Average) HMA (Hull Moving Average) JMA (Jurik Moving Average) DEMA (Double Exponential Moving Average) TEMA (Triple Exponential Moving Average) LSMA (Least Squares Moving Average) VWMA (Volume-Weighted Moving Average) SMMA (Smoothed Moving Average) KAMA (Kaufman’s Adaptive Moving Average) ALMA (Arnaud Legoux Moving Average) FRAMA (Fractal Adaptive Moving Average) VIDYA (Variable Index Dynamic Average) 2️⃣ Improved Input Visibility and Organization: We’ve reorganized the inputs so that the most commonly used ones are now placed at the beginning for quicker and more convenient configuration. 3️⃣ Bug Fixes and Code Improvements: Minor bugs have been fixed, and the code has been optimized for better stability and performance. The code is now cleaner and fully functional in version 6. 4️⃣ Cometreon Public Library Integration: To lighten the code and improve its modularity, we’ve integrated the Cometreon public library. This makes the code more efficient and reduces the need to duplicate common functions. ☄️ With this update, the MACD indicator becomes even more versatile and user-friendly, offering a wide range of calculation methods and an improved interface!
Indicatore Pine Script®
di Cometreon
1
Volume Volatality IndicatorVolume Volatility Indicator vol: volume; vma: rma of volume Cyan column shows (vol - vma)/vma, if vol > vma else shows 0 0 value means vol less than vma: good for continuation 0 < value < 1 means vol more than vma: good for trend value > 1 means vol more than 2 * vma: good for reversal tr: truerange; atr: averagetruerange Lime column show -(tr - atr)/atr, if tr > atr else show 0 0 value means tr less than atr: good for continuation 0 > value > -1 means tr more than atr: good for trend value < -1 means tr more than 2 * atr: good for reversal Cyan line = 1 Lime line = -1 This indicator shows the volume and truerange together. Good for filtering trending and consolidating markets. Thanks for the support.
Indicatore Pine Script®
di ForgedOblivious
1
RSI Reborn [New Formula]A unique non-standard RSI formula with my extensions. The indicator is displayed without delays and repaints, immediately after the close of the candle. This formula allows me to correctly include the moving average in the calculation. The calculation allows me to display RSI with any type of MA. By default I use EMA, with this type of MA my RSI is not visually different from a regular RSI. I have 11 types of RSI to choose from: 'EMA' 'ALMA' 'RMF' 'TilsonT3' 'ARSI' 'RMA' 'SMA' 'VWMA' 'WMA' 'WWMA' 'ZEMA' You also have a choice of RSI display: As candlesticks and as a simple line. You can adjust the colors in the Style tab. When you select 'Candles' type, you can make the wicks transparent if they bother you. I also added a source selection. By default, any RSI uses the Close source. But you can choose any of 15: VWAP, Close, Open, HL2, HLC3, OHLC4, Volume, High, Low, vwap(Close), vwap(Open), vwap(High), vwap(Low), AVG(vwap(H,L)), AVG(vwap(O,C)). Additional extensions: Additional RSI added. By default, the extra RSI is twice as long as the regular RSI. Despite the value of 14. The "Multiple of Current TF" function allows calling RSI from a timeframe twice as long as the current one, if it is equal to 2. If it is equal to 3, then it will be 3 times longer than the current timeframe. And so on. An additional moving average has been added. You can use it as an ordinary additional line. Or leave it as Cloud by default. A unique oversold/oversold formula in the form of small red/green dots has been added. Bolinger Bands feature has also been added.
Indicatore Pine Script®
di HALDRO
10
Moving Average Compendium RefurbishedThis is my effort to bring together in a single script the widest range of moving averages possible. I aggregated the calculation of averages within a library. For more information about the library follow the link: Basically this indicator is the visual result of this library. You can choose the moving average and the script updates the chart as per the type. The unique parameters of certain moving averages remain at their default values. To have a rainbow of moving averages I also made an indicator: Available moving averages: AARMA = 'Adaptive Autonomous Recursive Moving Average' ADEMA = '* Alpha-Decreasing Exponential Moving Average' AHMA = 'Ahrens Moving Average' ALMA = 'Arnaud Legoux Moving Average' ALSMA = 'Adaptive Least Squares' AUTOL = 'Auto-Line' CMA = 'Corrective Moving average' CORMA = 'Correlation Moving Average Price' COVWEMA = 'Coefficient of Variation Weighted Exponential Moving Average' COVWMA = 'Coefficient of Variation Weighted Moving Average' DEMA = 'Double Exponential Moving Average' DONCHIAN = 'Donchian Middle Channel' EDMA = 'Exponentially Deviating Moving Average' EDSMA = 'Ehlers Dynamic Smoothed Moving Average' EFRAMA = '* Ehlrs Modified Fractal Adaptive Moving Average' EHMA = 'Exponential Hull Moving Average' EMA = 'Exponential Moving Average' EPMA = 'End Point Moving Average' ETMA = 'Exponential Triangular Moving Average' EVWMA = 'Elastic Volume Weighted Moving Average' FAMA = 'Following Adaptive Moving Average' FIBOWMA = 'Fibonacci Weighted Moving Average' FISHLSMA = 'Fisher Least Squares Moving Average' FRAMA = 'Fractal Adaptive Moving Average' GMA = 'Geometric Moving Average' HKAMA = 'Hilbert based Kaufman\'s Adaptive Moving Average' HMA = 'Hull Moving Average' JURIK = 'Jurik Moving Average' KAMA = 'Kaufman\'s Adaptive Moving Average' LC_LSMA = '1LC-LSMA (1 line code lsma with 3 functions)' LEOMA = 'Leo Moving Average' LINWMA = 'Linear Weighted Moving Average' LSMA = 'Least Squares Moving Average' MAMA = 'MESA Adaptive Moving Average' MCMA = 'McNicholl Moving Average' MEDIAN = 'Median' REGMA = 'Regularized Exponential Moving Average' REMA = 'Range EMA' REPMA = 'Repulsion Moving Average' RMA = 'Relative Moving Average' RSIMA = 'RSI Moving average' RVWAP = '* Rolling VWAP' SMA = 'Simple Moving Average' SMMA = 'Smoothed Moving Average' SRWMA = 'Square Root Weighted Moving Average' SW_MA = 'Sine-Weighted Moving Average' SWMA = '* Symmetrically Weighted Moving Average' TEMA = 'Triple Exponential Moving Average' THMA = 'Triple Hull Moving Average' TREMA = 'Triangular Exponential Moving Average' TRSMA = 'Triangular Simple Moving Average' TT3 = 'Tillson T3' VAMA = 'Volatility Adjusted Moving Average' VIDYA = 'Variable Index Dynamic Average' VWAP = '* VWAP' VWMA = 'Volume-weighted Moving Average' WMA = 'Weighted Moving Average' WWMA = 'Welles Wilder Moving Average' XEMA = 'Optimized Exponential Moving Average' ZEMA = 'Zero-Lag Exponential Moving Average' ZSMA = 'Zero-Lag Simple Moving Average'
Indicatore Pine Script®
di andre_007
13
ATR Stop Loss and Take Profit FinderThe purpose of this tool is to help the trader determine a safe stop loss price and take profit which dynamically changes due to ATR (Average True Range) This tool uses the concept of ATR (Average True Range) Risk Reward Ratio (Money Management method) How is ATR Stop Loss and Take Profit Finder working Step 1 ) Tool will calculate TR(True Range Step 2) Then the TR will be used to find the Average value of X time frame, using 5 math models: RMA SMA EMA WMA and LSMA Step 3) The value from Step 2 will be multiplied by the factor, and the result is ATR After we got ATR Value, the Tool will find 2 lines: Upper Band and Lower Band which will function as a Stoploss value for both Short and Long trade ATR Stop Loss and Take Profit Finder will be using Upper Band and Lower Band to calculate Take profit price. A trader can set their Target Risk Reward Ratio by setting How to use ATR Stop Loss and Take Profit Finder ATR Stop Loss and Take Profit Finder is not an indicator, it is only a tool to help the trader quickly find their stop loss/take profit price. t For open long position, We comment trade to switch mode of 'Type of open Position to be long. Same as short which is need to be changed to short
Indicatore Pine Script®
di Pornnarong
7
Supertrend B&SSuperTrend is one of the most common ATR based trailing stop indicators. In this version you can change the ATR calculation method from the settings. Default method is RMA, when the alternative method is SMA . The indicator is easy to use and gives an accurate reading about an ongoing trend. It is constructed with two parameters, namely period and multiplier. The default values used while constructing a superindicator are 10 for average true range or trading period and three for its multiplier. The average true range (ATR) plays an important role in 'Supertrend' as the indicator uses ATR to calculate its value. The ATR indicator signals the degree of price volatility . The buy and sell signals are generated when the indicator starts plotting either on top of the closing price or below the closing price. A buy signal is generated when the ‘Supertrend’ closes above the price and a sell signal is generated when it closes below the closing price. It also suggests that the trend is shifting from descending mode to ascending mode. Contrary to this, when a ‘Supertrend’ closes above the price, it generates a sell signal as the colour of the indicator changes into red. A ‘Supertrend’ indicator can be used on equities, futures or forex, or even crypto markets and also on daily, weekly and hourly charts as well, but generally, it fails in a sideways-moving market.
Indicatore Pine Script®
di GTTRADINGIN
The Hummingbird - MA Ribbon by Joe (EMA, SMA, SMMA, WMA, VWMA)Tired of having to add multiple moving average indicators to your chart? Well, stop doing that. No, really. Listen. Adding duplicate indicators is totally not cool. And, it won't go over well at the next HOA meeting if you keep doing it. Here's the sweet moving average ribbon you've been waiting for (with 1-10 moving average lines!). It will make your charts look much cooler 😎. And you'll gain the respect of all your neighbors if you add it to your charts. In all seriousness, this is a slimmed-down version of my other super-awesome script with a stupid name, "Joe's Ultimate MA Ribbon (w/ Crossover Triggers)." Basically, I removed the crossover signals from it and changed the name to a much superior name, "The Hummingbird." Yeah. Right on. So, if you don't want or need the crossover signals, go right on humming with "The Hummingbird." Enjoy, friends. 🍻 If you still want the original ribbon with crossover signals, get it here . Options: Show/Hide MA Lines: Only show the lines you wanna see. No more. No less. MA Type (can be different for each line!): EMA , SMA , SMMA (RMA), WMA , VWMA MA Source (for each line): open, close, high, low, hl2 , hlc3, ohlc4, hlcc4 MA Length (for each line): any number between 1 and 4999 Line Colors: Ooh, pretty.
Indicatore Pine Script®
di crypto-with-joe
4
Variety N-Tuple Moving Averages w/ Variety Stepping [Loxx]Variety N-Tuple Moving Averages w/ Variety Stepping is a moving average indicator that allows you to create 1- 30 tuple moving average types; i.e., Double-MA, Triple-MA, Quadruple-MA, Quintuple-MA, ... N-tuple-MA. This version contains 2 different moving average types. For example, using "50" as the depth will give you Quinquagintuple Moving Average. If you'd like to find the name of the moving average type you create with the depth input with this indicator, you can find a list of tuples here: Tuples extrapolated Due to the coding required to adapt a moving average to fit into this indicator, additional moving average types will be added as they are created to fit into this unique use case. Since this is a work in process, there will be many future updates of this indicator. For now, you can choose from either EMA or RMA. This indicator is also considered one of the top 10 forex indicators. See details here: forex-station.com Additionally, this indicator is a computationally faster, more streamlined version of the following indicators with the addition of 6 stepping functions and 6 different bands/channels types. STD-Stepped, Variety N-Tuple Moving Averages STD-Stepped, Variety N-Tuple Moving Averages is the standard deviation stepped/filtered indicator of the following indicator Last but not least, a big shoutout to @lejmer for his help in formulating a looping solution for this streamlined version. this indicator is speedy even at 50 orders deep. You can find his scripts here: www.tradingview.com How this works Step 1: Run factorial calculation on the depth value, Step 2: Calculate weights of nested moving averages factorial(depth) / (factorial(depth - k) * factorial(k); where depth is the depth and k is the weight position Examples of coefficient outputs: 6 Depth: 6 15 20 15 6 7 Depth: 7 21 35 35 21 7 8 Depth: 8 28 56 70 56 28 8 9 Depth: 9 36 34 84 126 126 84 36 9 10 Depth: 10 45 120 210 252 210 120 45 10 11 Depth: 11 55 165 330 462 462 330 165 55 11 12 Depth: 12 66 220 495 792 924 792 495 220 66 12 13 Depth: 13 78 286 715 1287 1716 1716 1287 715 286 78 13 Step 3: Apply coefficient to each moving average For QEMA, which is 5 depth EMA , the calculation is as follows ema1 = ta. ema ( src , length) ema2 = ta. ema (ema1, length) ema3 = ta. ema (ema2, length) ema4 = ta. ema (ema3, length) ema5 = ta. ema (ema4, length) In this new streamlined version, these MA calculations are packed into an array inside loop so Pine doesn't have to keep all possible series information in memory. This is handled with the following code: temp = array.get(workarr, k + 1) + alpha * (array.get(workarr, k) - array.get(workarr, k + 1)) array.set(workarr, k + 1, temp) After we pack the array, we apply the coefficients to derive the NTMA: qema = 5 * ema1 - 10 * ema2 + 10 * ema3 - 5 * ema4 + ema5 Stepping calculations First off, you can filter by both price and/or MA output. Both price and MA output can be filtered/stepped in their own way. You'll see two selectors in the input settings. Default is ATR ATR. Here's how stepping works in simple terms: if the price/MA output doesn't move by X deviations, then revert to the price/MA output one bar back. ATR The average true range (ATR) is a technical analysis indicator, introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems, that measures market volatility by decomposing the entire range of an asset price for that period. Standard Deviation Standard deviation is a statistic that measures the dispersion of a dataset relative to its mean and is calculated as the square root of the variance. The standard deviation is calculated as the square root of variance by determining each data point's deviation relative to the mean. If the data points are further from the mean, there is a higher deviation within the data set; thus, the more spread out the data, the higher the standard deviation. Adaptive Deviation By definition, the Standard Deviation (STD, also represented by the Greek letter sigma σ or the Latin letter s) is a measure that is used to quantify the amount of variation or dispersion of a set of data values. In technical analysis we usually use it to measure the level of current volatility . Standard Deviation is based on Simple Moving Average calculation for mean value. This version of standard deviation uses the properties of EMA to calculate what can be called a new type of deviation, and since it is based on EMA , we can call it EMA deviation. And added to that, Perry Kaufman's efficiency ratio is used to make it adaptive (since all EMA type calculations are nearly perfect for adapting). The difference when compared to standard is significant--not just because of EMA usage, but the efficiency ratio makes it a "bit more logical" in very volatile market conditions. See how this compares to Standard Devaition here: Adaptive Deviation Median Absolute Deviation The median absolute deviation is a measure of statistical dispersion. Moreover, the MAD is a robust statistic, being more resilient to outliers in a data set than the standard deviation. In the standard deviation, the distances from the mean are squared, so large deviations are weighted more heavily, and thus outliers can heavily influence it. In the MAD, the deviations of a small number of outliers are irrelevant. Because the MAD is a more robust estimator of scale than the sample variance or standard deviation, it works better with distributions without a mean or variance, such as the Cauchy distribution. For this indicator, I used a manual recreation of the quantile function in Pine Script. This is so users have a full inside view into how this is calculated. Efficiency-Ratio Adaptive ATR Average True Range (ATR) is widely used indicator in many occasions for technical analysis . It is calculated as the RMA of true range. This version adds a "twist": it uses Perry Kaufman's Efficiency Ratio to calculate adaptive true range See how this compares to ATR here: ER-Adaptive ATR Mean Absolute Deviation The mean absolute deviation (MAD) is a measure of variability that indicates the average distance between observations and their mean. MAD uses the original units of the data, which simplifies interpretation. Larger values signify that the data points spread out further from the average. Conversely, lower values correspond to data points bunching closer to it. The mean absolute deviation is also known as the mean deviation and average absolute deviation. This definition of the mean absolute deviation sounds similar to the standard deviation (SD). While both measure variability, they have different calculations. In recent years, some proponents of MAD have suggested that it replace the SD as the primary measure because it is a simpler concept that better fits real life. For Pine Coders, this is equivalent of using ta.dev() Bands/Channels See the information above for how bands/channels are calculated. After the one of the above deviations is calculated, the channels are calculated as output +/- deviation * multiplier Signals Green is uptrend, red is downtrend, yellow "L" signal is Long, fuchsia "S" signal is short. Included: Alerts Loxx's Expanded Source Types Bar coloring Signals 6 bands/channels types 6 stepping types Related indicators 3-Pole Super Smoother w/ EMA-Deviation-Corrected Stepping STD-Stepped Fast Cosine Transform Moving Average ATR-Stepped PDF MA
Indicatore Pine Script®
di loxx
1
ER-Adaptive ATR, STD-Adaptive Damiani Volatmeter [Loxx]ER-Adaptive ATR, STD-Adaptive Damiani Volatmeter is a Damiani Volatmeter with both Efficiency-Ratio Adaptive ATR, used in place of ATR, and Adaptive Deviation, used in place of Standard Deviation. What is Adaptive Deviation? By definition, the Standard Deviation (STD, also represented by the Greek letter sigma σ or the Latin letter s) is a measure that is used to quantify the amount of variation or dispersion of a set of data values. In technical analysis we usually use it to measure the level of current volatility . Standard Deviation is based on Simple Moving Average calculation for mean value. This version of standard deviation uses the properties of EMA to calculate what can be called a new type of deviation, and since it is based on EMA , we can call it EMA deviation. And added to that, Perry Kaufman's efficiency ratio is used to make it adaptive (since all EMA type calculations are nearly perfect for adapting). The difference when compared to standard is significant--not just because of EMA usage, but the efficiency ratio makes it a "bit more logical" in very volatile market conditions. The green line is the Adaptive Deviation, the white line is regular Standard Deviation. This concept will be used in future indicators to further reduce noise and adapt to price volatility . See here for a comparison between Adaptive Deviation and Standard Deviation What is Efficiency Ratio Adaptive ATR? Average True Range (ATR) is widely used indicator in many occasions for technical analysis . It is calculated as the RMA of true range. This version adds a "twist": it uses Perry Kaufman's Efficiency Ratio to calculate adaptive true range See here for a comparison between Efficiency-Ratio Adaptive ATR, and ATR. What is the Damiani Volatmeter? Damiani Volatmeter uses ATR and Standard deviation to tease out ticker volatility so you can better understand when it's the ideal time to trade. The idea here is that you only take trades when volatility is high so this indicator is to be coupled with various other indicators to validate the other indicator's signals. This is also useful for detecting crabbing and chopping markets. Shoutout to user @xinolia for the DV function used here. Anything red means that volatility is low. Remember volatility doesn't have a direction. Anything green means volatility high despite the direction of price. The core signal line here is the green and red line that dips below two while threshold lines to "recharge". Maximum recharge happen when the core signal line shows a yellow ping. Soon after one or many yellow pings you should expect a massive upthrust of volatility . The idea here is you don't trade unless volatility is rising or green. This means that the Volatmeter has to dip into the recharge zone, recharge and then spike upward. You can also attempt to buy or sell reversals with confluence indicators when volatility is in the recharge zone, but I wouldn't recommend this. However, if you so choose to do this, then use the following indicator for confluence. And last reminder, volatility doesn't have a direction! Red doesn't mean short, and green doesn't mean long, Red means don't trade period regardless of direction long/short, and green means trade no matter the direction long/short. This means you'll have to add an indicator that does show direction such as a mean reversion indicator like Fisher Transform or a Gaussian Filter. You can search my public scripts for various Fisher Transform and Gaussian Filter indicators. Price-Filtered Spearman Rank Correl. w/ Floating Levels is considered the Mercedes Benz of reversal indicators Comparison between this indicator, ER-Adaptive ATR, STD-Adaptive Damiani Volatmeter , and the regular Damiani Volatmeter . Notice that the adaptive version catches more volatility than the regular version. How signals work RV = Rising Volatility VD = Volatility Dump Plots White line is signal Thick red/green line is the Volatmeter line The dotted lower lines are the zero line and minimum recharging line Included Bar coloring Alerts Signals Related indicators Variety Moving Average Waddah Attar Explosion (WAE) Damiani Volatmeter
Indicatore Pine Script®
di loxx
1
NSDT MA High-LowThis may seem like a pretty basic Moving Average indicator but I haven't seen one that changes the calculation point depending if the market is going up or down. I've added three EMA's (length of 20) on this sample chart to demonstrate the differences. These are not included with the indicator. Green, EMA calculated on High Red, EMA calculated on Low Yellow, EMA calculated on Close (default) Blue, EMA calculated on HIGH when rising but on LOW when falling. (looks at 3 candles back to gauge direction) * * * Note you can choose between 5 different Moving Average types Notice how the Blue line (when going up it's calculated on the High) is catching up to the Green line (which is already calculated on the High)? Notice how the Blue line (when going down so it's calculated on the Low) is catching up to the Red line (which is already calculated on the Low)? This gives a faster response in the direction of the market because it switches between calculating on the High or Low based on market direction. This script is free and open source.
Indicatore Pine Script®
di NorthStarDayTrading
2
T.O/REG/Gauss LineHi Dear Traders/Dealers! I present you here 3 lines that I developed myself base on statistical issues. +Reg. Line +Gauss Line +T.O Line -Reg. Line based on linear regression of previous inputs to make an average value. -Gauss Line based on Gaussian mean value, Standard Deviation and it uses previous inputs to make an average value. -T.O Line based on Gaussian and RMA methods generate an average value. Hopefully useful for you! Best regards and happy trading Shakib
Indicatore Pine Script®
di shaklerner1
4
Multi Type RSI [Misu]█ This Indicator is based on RSI ( Relative Strength Index ) & multiple type of MA (Moving Average) to show different variations of RSI. The relative strength index (RSI) is a momentum indicator used in technical analysis to evaluate overvalued or undervalued conditions in the price of that security. █ Usages: The purpose of this indicator is to obtain the RSI calculated with different MAs modes instead of the classic RMA. The red and green zones indicate the oversold and overbought zones. Buy or sell signals are marked by the green and red circles We have 2 different signal modes : when the different size RSIs cross and when the fast RSI crosses the extreme bands. Alerts are setup. █ Parameters: Lenght RSI: The lenght of the RSI. (14 by default) RSI MA Type: The type of MA with which the rsi will be calculated. ("SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA") Fast Lenght MA: The fast lenght smoothing MA. Slow Lenght MA: The Slow lenght smoothing MA. Lower Band: The lenght of the lower band. (25 by default) Upper Band: The lenght of the upper band. (75 by default) Signal Type: The mode with which buy and sell signals are triggered. ("Cross 2 Mas", "Cross Ma/Bands")
Indicatore Pine Script®
di Fontiramisu
3