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MomentumIndicatorsLibrary "MomentumIndicators" This is a library of 'Momentum Indicators', also denominated as oscillators. The purpose of this library is to organize momentum indicators in just one place, making it easy to access. In addition, it aims to allow customized versions, not being restricted to just the price value. An example of this use case is the popular Stochastic RSI. # Indicators: 1. Relative Strength Index (RSI): Measures the relative strength of recent price gains to recent price losses of an asset. 2. Rate of Change (ROC): Measures the percentage change in price of an asset over a specified time period. 3. Stochastic Oscillator (Stoch): Compares the current price of an asset to its price range over a specified time period. 4. True Strength Index (TSI): Measures the price change, calculating the ratio of the price change (positive or negative) in relation to the absolute price change. The values of both are smoothed twice to reduce noise, and the final result is normalized in a range between 100 and -100. 5. Stochastic Momentum Index (SMI): Combination of the True Strength Index with a signal line to help identify turning points in the market. 6. Williams Percent Range (Williams %R): Compares the current price of an asset to its highest high and lowest low over a specified time period. 7. Commodity Channel Index (CCI): Measures the relationship between an asset's current price and its moving average. 8. Ultimate Oscillator (UO): Combines three different time periods to help identify possible reversal points. 9. Moving Average Convergence/Divergence (MACD): Shows the difference between short-term and long-term exponential moving averages. 10. Fisher Transform (FT): Normalize prices into a Gaussian normal distribution. 11. Inverse Fisher Transform (IFT): Transform the values of the Fisher Transform into a smaller and more easily interpretable scale is through the application of an inverse transformation to the hyperbolic tangent function. This transformation takes the values of the FT, which range from -infinity to +infinity, to a scale limited between -1 and +1, allowing them to be more easily visualized and compared. 12. Premier Stochastic Oscillator (PSO): Normalizes the standard stochastic oscillator by applying a five-period double exponential smoothing average of the %K value, resulting in a symmetric scale of 1 to -1 # Indicators of indicators: ## Stochastic: 1. Stochastic of RSI (Relative Strengh Index) 2. Stochastic of ROC (Rate of Change) 3. Stochastic of UO (Ultimate Oscillator) 4. Stochastic of TSI (True Strengh Index) 5. Stochastic of Williams R% 6. Stochastic of CCI (Commodity Channel Index). 7. Stochastic of MACD (Moving Average Convergence/Divergence) 8. Stochastic of FT (Fisher Transform) 9. Stochastic of Volume 10. Stochastic of MFI (Money Flow Index) 11. Stochastic of On OBV (Balance Volume) 12. Stochastic of PVI (Positive Volume Index) 13. Stochastic of NVI (Negative Volume Index) 14. Stochastic of PVT (Price-Volume Trend) 15. Stochastic of VO (Volume Oscillator) 16. Stochastic of VROC (Volume Rate of Change) ## Inverse Fisher Transform: 1.Inverse Fisher Transform on RSI (Relative Strengh Index) 2.Inverse Fisher Transform on ROC (Rate of Change) 3.Inverse Fisher Transform on UO (Ultimate Oscillator) 4.Inverse Fisher Transform on Stochastic 5.Inverse Fisher Transform on TSI (True Strength Index) 6.Inverse Fisher Transform on CCI (Commodity Channel Index) 7.Inverse Fisher Transform on Fisher Transform (FT) 8.Inverse Fisher Transform on MACD (Moving Average Convergence/Divergence) 9.Inverse Fisher Transfor on Williams R% (Williams Percent Range) 10.Inverse Fisher Transfor on CMF (Chaikin Money Flow) 11.Inverse Fisher Transform on VO (Volume Oscillator) 12.Inverse Fisher Transform on VROC (Volume Rate of Change) ## Stochastic Momentum Index: 1.Stochastic Momentum Index of RSI (Relative Strength Index) 2.Stochastic Momentum Index of ROC (Rate of Change) 3.Stochastic Momentum Index of VROC (Volume Rate of Change) 4.Stochastic Momentum Index of Williams R% (Williams Percent Range) 5.Stochastic Momentum Index of FT (Fisher Transform) 6.Stochastic Momentum Index of CCI (Commodity Channel Index) 7.Stochastic Momentum Index of UO (Ultimate Oscillator) 8.Stochastic Momentum Index of MACD (Moving Average Convergence/Divergence) 9.Stochastic Momentum Index of Volume 10.Stochastic Momentum Index of MFI (Money Flow Index) 11.Stochastic Momentum Index of CMF (Chaikin Money Flow) 12.Stochastic Momentum Index of On Balance Volume (OBV) 13.Stochastic Momentum Index of Price-Volume Trend (PVT) 14.Stochastic Momentum Index of Volume Oscillator (VO) 15.Stochastic Momentum Index of Positive Volume Index (PVI) 16.Stochastic Momentum Index of Negative Volume Index (NVI) ## Relative Strength Index: 1. RSI for Volume 2. RSI for Moving Average rsi(source, length)   RSI (Relative Strengh Index). Measures the relative strength of recent price gains to recent price losses of an asset.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length : (int) Period of loopback   Returns: (float) Series of RSI roc(source, length)   ROC (Rate of Change). Measures the percentage change in price of an asset over a specified time period.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length : (int) Period of loopback   Returns: (float) Series of ROC stoch(kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Stochastic Oscillator. Compares the current price of an asset to its price range over a specified time period.   Parameters:      kLength      kSmoothing : (int) Period for smoothig stochastic      dSmoothing : (int) Period for signal (moving average of stochastic)      maTypeK : (int) Type of Moving Average for Stochastic Oscillator      maTypeD : (int) Type of Moving Average for Stochastic Oscillator Signal      almaOffsetKD : (float) Offset for Arnaud Legoux Moving Average for Oscillator and Signal      almaSigmaKD : (float) Sigma for Arnaud Legoux Moving Average for Oscillator and Signal      lsmaOffSetKD : (int) Offset for Least Squares Moving Average for Oscillator and Signal   Returns: A tuple of Stochastic Oscillator and Moving Average of Stochastic Oscillator stoch(source, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Stochastic Oscillator. Customized source. Compares the current price of an asset to its price range over a specified time period.   Parameters:      source : (float) Source of series (close, high, low, etc.)      kLength : (int) Period of loopback to calculate the stochastic      kSmoothing : (int) Period for smoothig stochastic      dSmoothing : (int) Period for signal (moving average of stochastic)      maTypeK : (int) Type of Moving Average for Stochastic Oscillator      maTypeD : (int) Type of Moving Average for Stochastic Oscillator Signal      almaOffsetKD : (float) Offset for Arnaud Legoux Moving Average for Stoch and Signal      almaSigmaKD : (float) Sigma for Arnaud Legoux Moving Average for Stoch and Signal      lsmaOffSetKD : (int) Offset for Least Squares Moving Average for Stoch and Signal   Returns: A tuple of Stochastic Oscillator and Moving Average of Stochastic Oscillator tsi(source, shortLength, longLength, maType, almaOffset, almaSigma, lsmaOffSet)   TSI (True Strengh Index). Measures the price change, calculating the ratio of the price change (positive or negative) in relation to the absolute price change. The values of both are smoothed twice to reduce noise, and the final result is normalized in a range between 100 and -100.   Parameters:      source : (float) Source of series (close, high, low, etc.)      shortLength : (int) Short length      longLength : (int) Long length      maType : (int) Type of Moving Average for TSI      almaOffset : (float) Offset for Arnaud Legoux Moving Average      almaSigma : (float) Sigma for Arnaud Legoux Moving Average      lsmaOffSet : (int) Offset for Least Squares Moving Average   Returns: (float) TSI smi(sourceTSI, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   SMI (Stochastic Momentum Index). A TSI (True Strengh Index) plus a signal line.   Parameters:      sourceTSI : (float) Source of series for TSI (close, high, low, etc.)      shortLengthTSI : (int) Short length for TSI      longLengthTSI : (int) Long length for TSI      maTypeTSI : (int) Type of Moving Average for Signal of TSI      almaOffsetTSI : (float) Offset for Arnaud Legoux Moving Average      almaSigmaTSI : (float) Sigma for Arnaud Legoux Moving Average      lsmaOffSetTSI : (int) Offset for Least Squares Moving Average      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal   Returns: A tuple with TSI, signal of TSI and histogram of difference wpr(source, length)   Williams R% (Williams Percent Range). Compares the current price of an asset to its highest high and lowest low over a specified time period.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length : (int) Period of loopback   Returns: (float) Series of Williams R% cci(source, length, maType, almaOffset, almaSigma, lsmaOffSet)   CCI (Commodity Channel Index). Measures the relationship between an asset's current price and its moving average.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length : (int) Period of loopback      maType : (int) Type of Moving Average      almaOffset : (float) Offset for Arnaud Legoux Moving Average      almaSigma : (float) Sigma for Arnaud Legoux Moving Average      lsmaOffSet : (int) Offset for Least Squares Moving Average   Returns: (float) Series of CCI ultimateOscillator(fastLength, middleLength, slowLength)   UO (Ultimate Oscilator). Combines three different time periods to help identify possible reversal points.   Parameters:      fastLength : (int) Fast period of loopback      middleLength : (int) Middle period of loopback      slowLength : (int) Slow period of loopback   Returns: (float) Series of Ultimate Oscilator ultimateOscillator(source, fastLength, middleLength, slowLength)   UO (Ultimate Oscilator). Customized source. Combines three different time periods to help identify possible reversal points.   Parameters:      source : (float) Source of series (close, high, low, etc.)      fastLength : (int) Fast period of loopback      middleLength : (int) Middle period of loopback      slowLength : (int) Slow period of loopback   Returns: (float) Series of Ultimate Oscilator macd(source, fastLength, slowLength, signalLength, maTypeFast, maTypeSlow, maTypeMACD, almaOffset, almaSigma, lsmaOffSet)   MACD (Moving Average Convergence/Divergence). Shows the difference between short-term and long-term exponential moving averages.   Parameters:      source : (float) Source of series (close, high, low, etc.)      fastLength : (int) Period for fast moving average      slowLength : (int) Period for slow moving average      signalLength : (int) Signal length      maTypeFast : (int) Type of fast moving average      maTypeSlow : (int) Type of slow moving average      maTypeMACD : (int) Type of MACD moving average      almaOffset : (float) Offset for Arnaud Legoux Moving Average      almaSigma : (float) Sigma for Arnaud Legoux Moving Average      lsmaOffSet : (int) Offset for Least Squares Moving Average   Returns: A tuple with MACD, Signal, and Histgram fisher(length)   Fisher Transform. Normalize prices into a Gaussian normal distribution.   Parameters:      length   Returns: A tuple with Fisher Transform and signal fisher(source, length)   Fisher Transform. Customized source. Normalize prices into a Gaussian normal distribution.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length   Returns: A tuple with Fisher Transform and signal inverseFisher(source, length, subtrahend, denominator)   Inverse Fisher Transform. Transform the values of the Fisher Transform into a smaller and more easily interpretable scale is through the application of an inverse transformation to the hyperbolic tangent function. This transformation takes the values of the FT, which range from -infinity to +infinity, to a scale limited between -1 and +1, allowing them to be more easily visualized and compared.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length : (int) Period for loopback      subtrahend : (int) Denominator. Useful in unbounded indicators. For example, in CCI.      denominator   Returns: (float) Series of Inverse Fisher Transform premierStoch(length, smoothlen)   Premier Stochastic Oscillator (PSO). Normalizes the standard stochastic oscillator by applying a five-period double exponential smoothing average of the %K value, resulting in a symmetric scale of 1 to -1.   Parameters:      length : (int) Period for loopback      smoothlen : (int) Period for smoothing   Returns: (float) Series of PSO premierStoch(source, smoothlen, subtrahend, denominator)   Premier Stochastic Oscillator (PSO) of custom source. Normalizes the source by applying a five-period double exponential smoothing average.   Parameters:      source : (float) Source of series (close, high, low, etc.)      smoothlen : (int) Period for smoothing      subtrahend : (int) Denominator. Useful in unbounded indicators. For example, in CCI.      denominator   Returns: (float) Series of PSO stochRsi(sourceRSI, lengthRSI, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      sourceRSI      lengthRSI      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochRoc(sourceROC, lengthROC, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      sourceROC      lengthROC      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochUO(fastLength, middleLength, slowLength, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      fastLength      middleLength      slowLength      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochTSI(source, shortLength, longLength, maType, almaOffset, almaSigma, lsmaOffSet, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      shortLength      longLength      maType      almaOffset      almaSigma      lsmaOffSet      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochWPR(source, length, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      length      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochCCI(source, length, maType, almaOffset, almaSigma, lsmaOffSet, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      length      maType      almaOffset      almaSigma      lsmaOffSet      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochMACD(source, fastLength, slowLength, signalLength, maTypeFast, maTypeSlow, maTypeMACD, almaOffset, almaSigma, lsmaOffSet, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      fastLength      slowLength      signalLength      maTypeFast      maTypeSlow      maTypeMACD      almaOffset      almaSigma      lsmaOffSet      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochFT(length, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      length      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochVolume(kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochMFI(source, length, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      length      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochOBV(source, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochPVI(source, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochNVI(source, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochPVT(source, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochVO(shortLen, longLen, maType, almaOffset, almaSigma, lsmaOffSet, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      shortLen      longLen      maType      almaOffset      almaSigma      lsmaOffSet      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochVROC(length, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      length      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD iftRSI(sourceRSI, lengthRSI, lengthIFT)   Parameters:      sourceRSI      lengthRSI      lengthIFT iftROC(sourceROC, lengthROC, lengthIFT)   Parameters:      sourceROC      lengthROC      lengthIFT iftUO(fastLength, middleLength, slowLength, lengthIFT)   Parameters:      fastLength      middleLength      slowLength      lengthIFT iftStoch(kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD, lengthIFT)   Parameters:      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD      lengthIFT iftTSI(source, shortLength, longLength, maType, almaOffset, almaSigma, lsmaOffSet, lengthIFT)   Parameters:      source      shortLength      longLength      maType      almaOffset      almaSigma      lsmaOffSet      lengthIFT iftCCI(source, length, maType, almaOffset, almaSigma, lsmaOffSet, lengthIFT)   Parameters:      source      length      maType      almaOffset      almaSigma      lsmaOffSet      lengthIFT iftFisher(length, lengthIFT)   Parameters:      length      lengthIFT iftMACD(source, fastLength, slowLength, signalLength, maTypeFast, maTypeSlow, maTypeMACD, almaOffset, almaSigma, lsmaOffSet, lengthIFT)   Parameters:      source      fastLength      slowLength      signalLength      maTypeFast      maTypeSlow      maTypeMACD      almaOffset      almaSigma      lsmaOffSet      lengthIFT iftWPR(source, length, lengthIFT)   Parameters:      source      length      lengthIFT iftMFI(source, length, lengthIFT)   Parameters:      source      length      lengthIFT iftCMF(length, lengthIFT)   Parameters:      length      lengthIFT iftVO(shortLen, longLen, maType, almaOffset, almaSigma, lsmaOffSet, lengthIFT)   Parameters:      shortLen      longLen      maType      almaOffset      almaSigma      lsmaOffSet      lengthIFT iftVROC(length, lengthIFT)   Parameters:      length      lengthIFT smiRSI(source, length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiROC(source, length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiVROC(length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiWPR(source, length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiFT(length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiFT(source, length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiCCI(source, length, maTypeCCI, almaOffsetCCI, almaSigmaCCI, lsmaOffSetCCI, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      maTypeCCI      almaOffsetCCI      almaSigmaCCI      lsmaOffSetCCI      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiUO(fastLength, middleLength, slowLength, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      fastLength      middleLength      slowLength      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiMACD(source, fastLength, slowLength, signalLength, maTypeFast, maTypeSlow, maTypeMACD, almaOffset, almaSigma, lsmaOffSet, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      fastLength      slowLength      signalLength      maTypeFast      maTypeSlow      maTypeMACD      almaOffset      almaSigma      lsmaOffSet      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiVol(shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiMFI(source, length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiCMF(length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiOBV(source, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiPVT(source, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiVO(shortLen, longLen, maType, almaOffset, almaSigma, lsmaOffSet, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      shortLen      longLen      maType      almaOffset      almaSigma      lsmaOffSet      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiPVI(source, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiNVI(source, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal rsiVolume(length)   Parameters:      length rsiMA(sourceMA, lengthMA, maType, almaOffset, almaSigma, lsmaOffSet, lengthRSI)   Parameters:      sourceMA      lengthMA      maType      almaOffset      almaSigma      lsmaOffSet      lengthRSI
Pine Script® library
by andre_007
6
TRADING MADE SIMPLEThis indicator shows market structure. The standard method of using Williams Highs and Lows as pivots, is something of an approximation. What's original here is that we follow rules to confirm Local Highs and Local Lows, and strictly enforce that a Low can only follow a confirmed High and vice-versa. -- Highs and Lows To confirm a candle as a Local High, you need a later candle to Close below its Low. To confirm a Local Low, you need a Close above its High. A Low can only follow a High (after it's been confirmed). You can't go e.g High, High, Low, Low, only High, Low, High, Low. When price makes Higher Highs and Higher Lows, market structure is said to be bullish. When price makes Lower Lows and Lower Highs, it's bearish. I've defined the in-between Highs and Lows as "Ranging", meaning, neutral. They could be trend continuation or reversal. -- Bullish/Bearish Breaks A Bullish break in market structure is when the Close of the current candle goes higher than the previous confirmed Local High. A Bearish Break is when the Close of the current candle goes lower than the most recent confirmed Local Low. I chose to use Close rather than High to reduce edge case weirdness. The breaking candle often ends up being a big one, thus the close of that candle can be a poor entry. You can get live warnings by setting the alert to Options: Only Once, because during a candle, the current price is taken as the Close. Breaks are like early warnings of a change in market bias, because you're not waiting for a High or Low to be formed and confirmed. Buy The Dip / Sell The Rally Buy The Dip is a label I gave to the first Higher Low in a bullish market structure. Sell The Rally is the first Lower High in a bearish market structure. These *might* be good buying/selling opportunities, but you still need to do your own analysis to confirm that. == USAGE == The point of knowing market structure is so you don't make bullish bets in a bearish market and vice versa - or if you do at least you're aware that that's what you're doing, and hopefully have some overwhelmingly good reason to do so. These are not signals to be traded on their own. You still need a trade thesis. Use with support & resistance and your other favourite indicators. Works on any market on any timeframe. Be aware that market structure will be different on different timeframes. IMPORTANT: If you're not seeing what you expect, check your settings and re-read this entire description carefully. Confirming Highs and Lows can get deceptively complex.
Pine Script® indicator
by cashofbne
11
Bollinger Band Width PercentileIntroducing the Bollinger Band Width Percentile Definitions : Bollinger Band Width Percentile is derived from the Bollinger Band Width indicator. It shows the percentage of bars over a specified lookback period that the Bollinger Band Width was less than the current Bollinger Band Width. Bollinger Band Width is derived from the Bollinger Bands® indicator. It quantitatively measures the width between the Upper and Lower Bands of the Bollinger Bands. Bollinger Bands® is a volatility-based indicator. It consists of three lines which are plotted in relation to a security's price. The Middle Line is typically a Simple Moving Average. The Upper and Lower Bands are typically 2 standard deviations above, and below the SMA (Middle Line). Volatility is a statistical measure of the dispersion of returns for a given security or market index, measured by the standard deviation of logarithmic returns. The Broad Concept : Quoting Tradingview specifically for commonly noted limitations of the BBW indicator which I have based this indicator on.... “ Bollinger Bands Width (BBW) outputs a Percentage Difference between the Upper Band and the Lower Band. This value is used to define the narrowness of the bands. What needs to be understood however is that a trader cannot simply look at the BBW value and determine if the Band is truly narrow or not. The significance of an instruments relative narrowness changes depending on the instrument or security in question. What is considered narrow for one security may not be for another. What is considered narrow for one security may even change within the scope of the same security depending on the timeframe. In order to accurately gauge the significance of a narrowing of the bands, a technical analyst will need to research past BBW fluctuations and price performance to increase trading accuracy. ” Here I present the Bollinger Band Width Percentile as a refinement of the BBW to somewhat overcome the limitations cited above. Much of the work researching past BBW fluctuations, and making relative comparisons is done naturally by calculating the Bollinger Band Width Percentile. This calculation also means that it can be read in a similar fashion across assets, greatly simplifying the interpretation of it. Plotted Components of the Bollinger Band Width Percentile indicator : Scale High Mid Line Scale Low BBWP plot Moving Average 1 Moving Average 2 Extreme High Alert Extreme Low Alert Bollinger Band Width Percentile Properties: BBWP Length The time period to be used in calculating the Moving average which creates the Basis for the BBW component of the BBWP. Basis Type The type of moving average to be used as the Basis for the BBW component of the BBWP. BBWP Lookback The lookback period to be used in calculating the BBWP itself. BBWP Plot settings The BBWP plot settings give a choice between a user defined solid color, and a choice of "Blue Green Red", or "Blue Red" spectrum palettes. Moving Averages Has 2 Optional User definable and adjustable moving averages of the BBWP. Visual Alerts Optional User adjustable High and low Signal columns. How to read the BBWP : A BBWP read of 95 % ... means that the current BBW level is greater than 95% of the lookback period. A BBWP read of 5 % .... means that the current BBW level is lower than 95% of the lookback period. Proposed interpretations : When the BBWP gets above 90 % and particularly when it hits 100% ... this can be a signal that volatility is reaching a maximum and that a macro High or Low is about to be set. When the BBWP gets below 10 % and particularly when it hits 0% ...... this can be a signal that volatility is reaching a minimum and that there could be a violent range breakout into a trending move. When the BBWP hits a low level < 5 % and then gets above its moving average ...... this can be an early signal that a consolidation phase is ending and a trending move is beginning. When the BBWP hits a high level > 95 % and then falls below its moving average ... this can be an early signal that a trending move is ending and a consolidation phase is beginning. Essential knowledge : The BBWP was designed with the daily timeframe in mind, but technical analysists may find use for it on other time frames also. High and Low BBWP readings do not entail any direction bias. Deeper Concepts : In finance, “mean reversion” is the assumption that a financial instrument's price will tend to move towards the average price over time. If we apply that same logic to volatility as represented here by the Bollinger band width percentile, the assumption is that the Bollinger band width percentile will tend to contract from extreme highs, and expand from extreme lows over time corresponding to repeated phases of contraction and expansion of volatility. It is clear that for most assets there are periods of directional trending behavior followed by periods of “consolidation” ( trading sideways in a range ). This often ends with a tightening range under reducing volume and volatility ( popularly known as “the squeeze” ). The squeeze typically ends with a “breakout” from the range characterized by a rapid increase in volume, and volatility when price action again trends directionally, and the cycle repeats. Typical Use Cases : The Bollinger Band Width Percentile may be especially useful for Options traders, as it can provide a bias for when Options are relatively expensive, or inexpensive from a Volatility (Vega) perspective. When the Bollinger Band Width Percentile is relatively high ( 85 percentile or above ) it may be more advantageous to be a net seller of Vega. When the Bollinger Band Width Percentile is relatively low ( 15 percentile or below ) it may be advantageous to be net long Vega. Here we examine a number of actionable signals on BTCUSD daily timeframe using the BBWP and a momentum oscillator ( using the TSI here but can equally be used with Bollinger bands, moving averages, or the traders preferred momentum oscillator ). In this first case we will examine how a spot trader and an options trader could each use a low BBWP read to alert them to a good potential trade setup. note: using a period of 30 for both the Bollinger bands and the BBWP period ( approximately a month ) and a BBWP lookback of 350 ( approximately a year ) As we see the Bollinger Bands have gradually contracted while price action trended down and the BBWP also fell consistently while below its moving average ( denoting falling volatility ) down to an extremely low level <5% until it broke above its moving average along with a break of range to the upside ( signaling the end of the consolidation at a low level and the beginning of a new trending move to the upside with expanding volatility). In this next case we will continue to follow the price action presuming that the traders have taken or locked in profit at reasonable take profit levels from the previous trade setup. Here we see the contraction of the Bollinger bands, and the BBWP alongside price action breaking below the BB Basis giving a warning that the trending move to the upside is likely over. We then see the BBWP rising and getting above its moving average while price action fails to get above the BB Basis, likewise the TSI fails to get above its signal line and actually crosses below its zeroline. The trader would normally take this as a signal that the next trending move could be to the downside. The next trending move turns out to be a dramatic downside move which causes the BBWP to hit 100% signaling that volatility is likely to hit a maximum giving good opportunities for profitable trades to the skilled trader as outlined. Limitations : Here we will look at 2 cases where blindly taking BBWP signals could cause the trader to take a failed trade. In this first example we will look at blindly taking a low volatility options trade Low Volatility and corresponding low BBWP levels do not automatically mean there has to be expansion immediately, these periods of extreme low volatility can go on for quite some time. In this second example we will look at blindly taking a high volatility spot short trade High volatility and corresponding high BBWP levels do not automatically mean there has to be a macro high and contraction of volatility immediately, these periods of extreme high volatility can also go on for quite some time, hence the famous saying "The trend is your friend until the end of the trend" and lesser well known, but equally valid saying "never try to short the top of a parabolic blow off top" Markets are variable and past performance is no guarantee of future results, this is not financial advice, I am not a financial advisor. Final thoughts The BBWP is an improvement over the BBW in my opinion, and is a novel, and useful addition to a Technical Analysts toolkit. It is not a standalone indicator and is meant to be used in conjunction with other tools for direction bias, and Good Risk Management to base sound trades off. John Bollinger has suggested using Bolliger bands, and its related indicators with two or three other non-correlated indicators that provide more direct market signals. He believes it is crucial to use indicators based on different types of data. Some of his favored technical techniques are moving average divergence/convergence (MACD), on-balance volume and relative strength index (RSI). Thanks Massive respect to John Bollinger, long-time technician of the markets, and legendary creator of both the Bollinger Bands® in the 1980´s, and the Bollinger band Width indicator in 2010 which this indicator is based on. His work continues to inspire, decades after he brought the original Bollinger Bands to the market. Much respect also to Eric Crown who gave me the fundamental knowledge of Technical Analysis, and Options trading.
Pine Script® indicator
by The_Caretaker
58
Ichimoku Kinkō HyōThe Ichimoku Kinko Hyo is an trading system developed by the late Goichi Hosoda (pen name "Ichimokusanjin") when he was the general manager of the business conditions department of Miyako Shinbun, the predecessor of the Tokyo Shimbun. Currently, it is a registered trademark of Economic Fluctuation Research Institute Co., Ltd., which is run by the bereaved family of Hosoda as a private research institute. The Ichimoku Kinko Hyo is composed of time theory, price range theory (target price theory) and wave movement theory. Ichimoku means "At One Glace". The equilibrium table is famous for its span, but the first in the equilibrium table is the time relationship. In the theory of time, the change date is the day after the number of periods classified into the basic numerical value such as 9, 17, 26, etc., the equal numerical value that takes the number of periods of the past wave motion, and the habit numerical value that appears for each issue is there. The market is based on the idea that the buying and selling equilibrium will move in the wrong direction. Another feature is that time is emphasized in order to estimate when changes will occur. In the price range theory, there are E・V・N・NT calculated values ​​and multiple values ​​of 4 to 8E as target values. In addition, in order to determine the momentum and direction of the market, we will consider other price ranges and ying and yang numbers. If the calculated value is realized on the change date calculated by each numerical value, the market price is likely to reverse. 転換線 (Tenkansen) (Conversion Line) = (highest price in the past 9 periods + lowest price) ÷ 2 基準線 (Kijunsen) (Base Line) = (highest price in the past 26 periods + lowest price) ÷ 2 It represents Support/Resistance for 16 bars. It is a 50% Fibonacci Retracement. The Kijun sen is knows as the "container" of the trend. It is prefect to use as an initial stop and/or trailing stop. 先行スパン1 (Senkou span 1) (Lagging Span 1) = {(conversion value + reference value) ÷ 2} 25 periods ahead (26 periods ahead including the current day, that is) 先行スパン2 (Senkou span 2) (Lagging Span 2) = {(highest price in the past 52 periods + lowest price) ÷ 2} 25 periods ahead (26 periods ahead including the current day, that is) 遅行スパン (Chikou span) (Lagging Span) = (current candle closing price) plotted 26 periods before (that is, including the current day) 25 periods ago It is the only Ichimoku indicator that uses the closing price. It is used for momentum of the trend. The area surrounded by the two lagging span lines is called a cloud. This is the foundation of the system. It determines the sentiment (Bull/Bear) for the insrument. If price is above the cloud, the instrument is bullish. If price is below the cloud, the instrument is bearish. - The wave theory of the Ichimoku Kinko Hyo has the following waves. All about the rising market. If it is the falling market, the opposite is true. I wave rise one market price. V wave the market price that raises and lowers. N wave the market price for raising, lowering, and raising. P wave the high price depreciates and the low price rises with the passage of time. Leave either. Y wave the high price rises and the low price falls with the passage of time. Leave either. S wave A market in which the lowered market rebounds and rises at the previous high level. There are the above 6 types but the basis of the Ichimoku Kinko Hyo is the N wave of 3 waves. In Elliott wave theory and similar theories, basically there are 5 waves but 5 waves are a series of 2 and 3 waves N, 3 for 7 waves, 4 for 9 waves and so on. Even if it keep continuing, it will be based on N wave. In addition, since the P wave and the Y wave are separated from each other, they can be seen as N waves from a large perspective. - There are basic E・V・N・NT calculated values ​​and several other calculation methods for the Ichimoku Kinko Hyo. It is the only calculated value that gives a concrete value in the Ichimoku Kinko Hyo, which is difficult to understand, but since we focus only on the price difference and do not consider the supply and demand, it is forbidden to stick to the calculated value alone. (The calculation method of the following five calculated values ​​is based on the rising market price, which is raised from the low price A to the high price B and lowered from the high price B to the low price C. Therefore, the low price C is higher than the low price A) E calculated value The amount of increase from the low price A to the high price B is added to the high price B. = B + (BA) V calculated value Adds the amount of decline from the high price B to the low price C to the high price B. = B + (BC) N calculated value The amount of increase from the low price A to the high price B is added to the low price C. = C + (BA) NT calculated value Adds the amount of increase from the low price A to the low price C to the low price C. = C + (CA) 4E calculated value (four-layer double / quadruple value) Adds three times the amount of increase from the low price A to the high price B to the high price B. = B + 3 × (BA) Calculated value of P wave The upper price is devalued and the lower price is rounded up, and the price range of both is the same. Calculated value of Y wave The upper price is rounded up and the lower price is rounded down, and the price range of both is the same.
Pine Script® indicator
by danalec
2
Luxy Momentum, Trend, Bias and Breakout Indicators V7 TABLE OF CONTENTS This is Version 7 (V7) - the latest and most optimized release. If you are using any older versions (V6, V5, V4, V3, etc.), it is highly recommended to replace them with V7. Why This Indicator is Different Who Should Use This Core Components Overview The UT Bot Trading System Understanding the Market Bias Table Candlestick Pattern Recognition Visual Tools and Features How to Use the Indicator Performance and Optimization FAQ --- ### CREDITS & ATTRIBUTION This indicator implements proven trading concepts using entirely original code developed specifically for this project. ### CONCEPTUAL FOUNDATIONS • UT Bot ATR Trailing System - Original concept by @QuantNomad: (search "UT-Bot-Strategy" - Our version is a complete reimplementation with significant enhancements: - Volume-weighted momentum adjustment - Composite stop loss from multiple S/R layers - Multi-filter confirmation system (swing, %, 2-bar, ZLSMA) - Full integration with multi-timeframe bias table - Visual audit trail with freeze-on-touch - NOTE: No code was copied - this is a complete reimplementation with enhancements. • Standard Technical Indicators (Public Domain Formulas): - Supertrend: ATR-based trend calculation with custom gradient fills - MACD: Gerald Appel's formula with separation filters - RSI: J. Welles Wilder's formula with pullback zone logic - ADX/DMI: Custom trend strength formula inspired by Wilder's directional movement concept, reimplemented with volume weighting and efficiency metrics - ZLSMA: Zero-lag formula enhanced with Hull MA and momentum prediction ### Custom Implementations - Trend Strength: Inspired by Wilder's ADX concept but using volume-weighted pressure calculation and efficiency metrics (not traditional +DI/-DI smoothing) - All code implementations are original ### ORIGINAL FEATURES (70%+ of codebase) - Multi-Timeframe Bias Table with live updates - Risk Management System (R-multiple TPs, freeze-on-touch) - Opening Range Breakout tracker with session management - Composite Stop Loss calculator using 6+ S/R layers - Performance optimization system (caching, conditional calcs) - VIX Fear Index integration - Previous Day High/Low auto-detection - Candlestick pattern recognition with interactive tooltips - Smart label and visual management - All UI/UX design and table architecture ### DEVELOPMENT PROCESS **AI Assistance:** This indicator was developed over 2+ months with AI assistance (ChatGPT/Claude) used for: - Writing Pine Script code based on design specifications - Optimizing performance and fixing bugs - Ensuring Pine Script v6 compliance - Generating documentation **Author's Role:** All trading concepts, system design, feature selection, integration logic, and strategic decisions are original work by the author. The AI was a coding tool, not the system designer. **Transparency:** We believe in full disclosure - this project demonstrates how AI can be used as a powerful development tool while maintaining creative and strategic ownership. --- 1. WHY THIS INDICATOR IS DIFFERENT Most traders use multiple separate indicators on their charts, leading to cluttered screens, conflicting signals, and analysis paralysis. The Suite solves this by integrating proven technical tools into a single, cohesive system. Key Advantages: All-in-One Design: Instead of loading 5-10 separate indicators, you get everything in one optimized script. This reduces chart clutter and improves TradingView performance. Multi-Timeframe Bias Table: Unlike standard indicators that only show the current timeframe, the Bias Table aggregates trend signals across multiple timeframes simultaneously. See at a glance whether 1m, 5m, 15m, 1h are aligned bullish or bearish - no more switching between charts. Smart Confirmations: The indicator doesn't just give signals - it shows you WHY. Every entry has multiple layers of confirmation (MA cross, MACD momentum, ADX strength, RSI pullback, volume, etc.) that you can toggle on/off. Dynamic Stop Loss System: Instead of static ATR stops, the SL is calculated from multiple support/resistance layers: UT trailing line, Supertrend, VWAP, swing structure, and MA levels. This creates more intelligent, price-action-aware stops. R-Multiple Take Profits: Built-in TP system calculates targets based on your initial risk (1R, 1.5R, 2R, 3R). Lines freeze when touched with visual checkmarks, giving you a clean audit trail of partial exits. Educational Tooltips Everywhere: Every single input has detailed tooltips explaining what it does, typical values, and how it impacts trading. You're not guessing - you're learning as you configure. Performance Optimized: Smart caching, conditional calculations, and modular design mean the indicator runs fast despite having 15+ features. Turn off what you don't use for even better performance. No Repainting: All signals respect bar close. Alerts fire correctly. What you see in history is what you would have gotten in real-time. What Makes It Unique: Integrated UT Bot + Bias Table: No other indicator combines UT Bot's ATR trailing system with a live multi-timeframe dashboard. You get precision entries with macro trend context. Candlestick Pattern Recognition with Interactive Tooltips: Patterns aren't just marked - hover over any emoji for a full explanation of what the pattern means and how to trade it. Opening Range Breakout Tracker: Built-in ORB system for intraday traders with customizable session times and real-time status updates in the Bias Table. Previous Day High/Low Auto-Detection: Automatically plots PDH/PDL on intraday charts with theme-aware colors. Updates daily without manual input. Dynamic Row Labels in Bias Table: The table shows your actual settings (e.g., "EMA 10 > SMA 20") not generic labels. You know exactly what's being evaluated. Modular Filter System: Instead of forcing a fixed methodology, the indicator lets you build your own strategy. Start with just UT Bot, add filters one at a time, test what works for your style. --- 2. WHO WHOULD USE THIS Designed For: Intermediate to Advanced Traders: You understand basic technical analysis (MAs, RSI, MACD) and want to combine multiple confirmations efficiently. This isn't a "one-click profit" system - it's a professional toolkit. Multi-Timeframe Traders: If you trade one asset but check multiple timeframes for confirmation (e.g., enter on 5m after checking 15m and 1h alignment), the Bias Table will save you hours every week. Trend Followers: The indicator excels at identifying and following trends using UT Bot, Supertrend, and MA systems. If you trade breakouts and pullbacks in trending markets, this is built for you. Intraday and Swing Traders: Works equally well on 5m-1h charts (day trading) and 4h-D charts (swing trading). Scalpers can use it too with appropriate settings adjustments. Discretionary Traders: This isn't a black-box system. You see all the components, understand the logic, and make final decisions. Perfect for traders who want tools, not automation. Works Across All Markets: Stocks (US, international) Cryptocurrency (24/7 markets supported) Forex pairs Indices (SPY, QQQ, etc.) Commodities NOT Ideal For : Complete Beginners: If you don't know what a moving average or RSI is, start with basics first. This indicator assumes foundational knowledge. Algo Traders Seeking Black Box: This is discretionary. Signals require context and confirmation. Not suitable for blind automated execution. Mean-Reversion Only Traders: The indicator is trend-following at its core. While VWAP bands support mean-reversion, the primary methodology is trend continuation. --- 3. CORE COMPONENTS OVERVIEW The indicator combines these proven systems: Trend Analysis: Moving Averages: Four customizable MAs (Fast, Medium, Medium-Long, Long) with six types to choose from (EMA, SMA, WMA, VWMA, RMA, HMA). Mix and match for your style. Supertrend: ATR-based trend indicator with unique gradient fill showing trend strength. One-sided ribbon visualization makes it easier to see momentum building or fading. ZLSMA : Zero-lag linear-regression smoothed moving average. Reduces lag compared to traditional MAs while maintaining smooth curves. Momentum & Filters: MACD: Standard MACD with separation filter to avoid weak crossovers. RSI: Pullback zone detection - only enter longs when RSI is in your defined "buy zone" and shorts in "sell zone". ADX/DMI: Trend strength measurement with directional filter. Ensures you only trade when there's actual momentum. Volume Filter: Relative volume confirmation - require above-average volume for entries. Donchian Breakout: Optional channel breakout requirement. Signal Systems: UT Bot: The primary signal generator. ATR trailing stop that adapts to volatility and gives clear entry/exit points. Base Signals: MA cross system with all the above filters applied. More conservative than UT Bot alone. Market Bias Table: Multi-timeframe dashboard showing trend alignment across 7 timeframes plus macro bias (3-day, weekly, monthly, quarterly, VIX). Candlestick Patterns: Six major reversal patterns auto-detected with interactive tooltips. ORB Tracker: Opening range high/low with breakout status (intraday only). PDH/PDL: Previous day levels plotted automatically on intraday charts. VWAP + Bands : Session-anchored VWAP with up to three standard deviation band pairs. --- 4. THE UT BOT TRADING SYSTEM The UT Bot is the heart of the indicator's signal generation. It's an advanced ATR trailing stop that adapts to market volatility. Why UT Bot is Superior to Fixed Stops: Traditional ATR stops use a fixed multiplier (e.g., "stop = entry - 2×ATR"). UT Bot is smarter: It TRAILS the stop as price moves in your favor It WIDENS during high volatility to avoid premature stops It TIGHTENS during consolidation to lock in profits It FLIPS when price breaks the trailing line, signaling reversals Visual Elements You'll See: Orange Trailing Line: The actual UT stop level that adapts bar-by-bar Buy/Sell Labels: Aqua triangle (long) or orange triangle (short) when the line flips ENTRY Line: Horizontal line at your entry price (optional, can be turned off) Suggested Stop Loss: A composite SL calculated from multiple support/resistance layers: - UT trailing line - Supertrend level - VWAP - Swing structure (recent lows/highs) - Long-term MA (200) - ATR-based floor Take Profit Lines: TP1, TP1.5, TP2, TP3 based on R-multiples. When price touches a TP, it's marked with a checkmark and the line freezes for audit trail purposes. Status Messages: "SL Touched ❌" or "SL Frozen" when the trade leg completes. How UT Bot Differs from Other ATR Systems: Multiple Filters Available: You can require 2-bar confirmation, minimum % price change, swing structure alignment, or ZLSMA directional filter. Most UT implementations have none of these. Smart SL Calculation: Instead of just using the UT line as your stop, the indicator suggests a better SL based on actual support/resistance. This prevents getting stopped out by wicks while keeping risk controlled. Visual Audit Trail: All SL/TP lines freeze when touched with clear markers. You can review your trades weeks later and see exactly where entries, stops, and targets were. Performance Options: "Draw UT visuals only on bar close" lets you reduce rendering load without affecting logic or alerts - critical for slower machines or 1m charts. Trading Logic: UT Bot flips direction (Buy or Sell signal appears) Check Bias Table for multi-timeframe confirmation Optional: Wait for Base signal or candlestick pattern Enter at signal bar close or next bar open Place stop at "Suggested Stop Loss" line Scale out at TP levels (TP1, TP2, TP3) Exit remaining position on opposite UT signal or stop hit --- 5. UNDERSTANDING THE MARKET BIAS TABLE This is the indicator's unique multi-timeframe intelligence layer. Instead of looking at one chart at a time, the table aggregates signals across seven timeframes plus macro trend bias. Why Multi-Timeframe Analysis Matters: Professional traders check higher and lower timeframes for context: Is the 1h uptrend aligning with my 5m entry? Are all short-term timeframes bullish or just one? Is the daily trend supportive or fighting me? Doing this manually means opening multiple charts, checking each indicator, and making mental notes. The Bias Table does it automatically in one glance. Table Structure: Header Row: On intraday charts: 1m, 5m, 15m, 30m, 1h, 2h, 4h (toggle which ones you want) On daily+ charts: D, W, M (automatic) Green dot next to title = live updating Headline Rows - Macro Bias: These show broad market direction over longer periods: 3 Day Bias: Trend over last 3 trading sessions (uses 1h data) Weekly Bias: Trend over last 5 trading sessions (uses 4h data) Monthly Bias: Trend over last 30 daily bars Quarterly Bias: Trend over last 13 weekly bars VIX Fear Index: Market regime based on VIX level - bullish when low, bearish when high Opening Range Breakout: Status of price vs. session open range (intraday only) These rows show text: "BULLISH", "BEARISH", or "NEUTRAL" Indicator Rows - Technical Signals: These evaluate your configured indicators across all active timeframes: Fast MA > Medium MA (shows your actual MA settings, e.g., "EMA 10 > SMA 20") Price > Long MA (e.g., "Price > SMA 200") Price > VWAP MACD > Signal Supertrend (up/down/neutral) ZLSMA Rising RSI In Zone ADX ≥ Minimum These rows show emojis: GREEB (bullish), RED (bearish), GRAY/YELLOW (neutral/NA) AVG Column: Shows percentage of active timeframes that are bullish for that row. This is the KEY metric: AVG > 70% = strong multi-timeframe bullish alignment AVG 40-60% = mixed/choppy, no clear trend AVG < 30% = strong multi-timeframe bearish alignment How to Use the Table: For a long trade: Check AVG column - want to see > 60% ideally Check headline bias rows - want to see BULLISH, not BEARISH Check VIX row - bullish market regime preferred Check ORB row (intraday) - want ABOVE for longs Scan indicator rows - more green = better confirmation For a short trade: Check AVG column - want to see < 40% ideally Check headline bias rows - want to see BEARISH, not BULLISH Check VIX row - bearish market regime preferred Check ORB row (intraday) - want BELOW for shorts Scan indicator rows - more red = better confirmation When AVG is 40-60%: Market is choppy, mixed signals. Either stay out or reduce position size significantly. These are low-probability environments. Unique Features: Dynamic Labels: Row names show your actual settings (e.g., "EMA 10 > SMA 20" not generic "Fast > Slow"). You know exactly what's being evaluated. Customizable Rows: Turn off rows you don't care about. Only show what matters to your strategy. Customizable Timeframes: On intraday charts, disable 1m or 4h if you don't trade them. Reduces calculation load by 20-40%. Automatic HTF Handling: On Daily/Weekly/Monthly charts, the table automatically switches to D/W/M columns. No configuration needed. Performance Smart: "Hide BIAS table on 1D or above" option completely skips all table calculations on higher timeframes if you only trade intraday. --- 6. CANDLESTICK PATTERN RECOGNITION The indicator automatically detects six major reversal patterns and marks them with emojis at the relevant bars. Why These Six Patterns: These are the most statistically significant reversal patterns according to trading literature: High win rate when appearing at support/resistance Clear visual structure (not subjective) Work across all timeframes and assets Studied extensively by institutions The Patterns: Bullish Patterns (appear at bottoms): Bullish Engulfing: Green candle completely engulfs prior red candle's body. Strong reversal signal. Hammer: Small body with long lower wick (at least 2× body size). Shows rejection of lower prices by buyers. Morning Star: Three-candle pattern (large red → small indecision → large green). Very strong bottom reversal. Bearish Patterns (appear at tops): Bearish Engulfing: Red candle completely engulfs prior green candle's body. Strong reversal signal. Shooting Star: Small body with long upper wick (at least 2× body size). Shows rejection of higher prices by sellers. Evening Star: Three-candle pattern (large green → small indecision → large red). Very strong top reversal. Interactive Tooltips: Unlike most pattern indicators that just draw shapes, this one is educational: Hover your mouse over any pattern emoji A tooltip appears explaining: what the pattern is, what it means, when it's most reliable, and how to trade it No need to memorize - learn as you trade Noise Filter: "Min candle body % to filter noise" setting prevents false signals: Patterns require minimum body size relative to price Filters out tiny candles that don't represent real buying/selling pressure Adjust based on asset volatility (higher % for crypto, lower for low-volatility stocks) How to Trade Patterns: Patterns are NOT standalone entry signals. Use them as: Confirmation: UT Bot gives signal + pattern appears = stronger entry Reversal Warning: In a trade, opposite pattern appears = consider tightening stop or taking profit Support/Resistance Validation: Pattern at key level (PDH, VWAP, MA 200) = level is being respected Best combined with: UT Bot or Base signal in same direction Bias Table alignment (AVG > 60% or < 40%) Appearance at obvious support/resistance --- 7. VISUAL TOOLS AND FEATURES VWAP (Volume Weighted Average Price): Session-anchored VWAP with standard deviation bands. Shows institutional "fair value" for the trading session. Anchor Options: Session, Day, Week, Month, Quarter, Year. Choose based on your trading timeframe. Bands: Up to three pairs (X1, X2, X3) showing statistical deviation. Price at outer bands often reverses. Auto-Hide on HTF: VWAP hides on Daily/Weekly/Monthly charts automatically unless you enable anchored mode. Use VWAP as: Directional bias (above = bullish, below = bearish) Mean reversion levels (outer bands) Support/resistance (the VWAP line itself) Previous Day High/Low: Automatically plots yesterday's high and low on intraday charts: Updates at start of each new trading day Theme-aware colors (dark text for light charts, light text for dark charts) Hidden automatically on Daily/Weekly/Monthly charts These levels are critical for intraday traders - institutions watch them closely as support/resistance. Opening Range Breakout (ORB): Tracks the high/low of the first 5, 15, 30, or 60 minutes of the trading session: Customizable session times (preset for NYSE, LSE, TSE, or custom) Shows current breakout status in Bias Table row (ABOVE, BELOW, INSIDE, BUILDING) Intraday only - auto-disabled on Daily+ charts ORB is a classic day trading strategy - breakout above opening range often leads to continuation. Extra Labels: Change from Open %: Shows how far price has moved from session open (intraday) or daily open (HTF). Green if positive, red if negative. ADX Badge: Small label at bottom of last bar showing current ADX value. Green when above your minimum threshold, red when below. RSI Badge: Small label at top of last bar showing current RSI value with zone status (buy zone, sell zone, or neutral). These labels provide quick at-a-glance confirmation without needing separate indicator windows. --- 8. HOW TO USE THE INDICATOR Step 1: Add to Chart Load the indicator on your chosen asset and timeframe First time: Everything is enabled by default - the chart will look busy Don't panic - you'll turn off what you don't need Step 2: Start Simple Turn OFF everything except: UT Bot labels (keep these ON) Bias Table (keep this ON) Moving Averages (Fast and Medium only) Suggested Stop Loss and Take Profits Hide everything else initially. Get comfortable with the basic UT Bot + Bias Table workflow first. Step 3: Learn the Core Workflow UT Bot gives a Buy or Sell signal Check Bias Table AVG column - do you have multi-timeframe alignment? If yes, enter the trade Place stop at Suggested Stop Loss line Scale out at TP levels Exit on opposite UT signal Trade this simple system for a week. Get a feel for signal frequency and win rate with your settings. Step 4: Add Filters Gradually If you're getting too many losing signals (whipsaws in choppy markets), add filters one at a time: Try: "Require 2-Bar Trend Confirmation" - wait for 2 bars to confirm direction Try: ADX filter with minimum threshold - only trade when trend strength is sufficient Try: RSI pullback filter - only enter on pullbacks, not chasing Try: Volume filter - require above-average volume Add one filter, test for a week, evaluate. Repeat. Step 5: Enable Advanced Features (Optional) Once you're profitable with the core system, add: Supertrend for additional trend confirmation Candlestick patterns for reversal warnings VWAP for institutional anchor reference ORB for intraday breakout context ZLSMA for low-lag trend following Step 6: Optimize Settings Every setting has a detailed tooltip explaining what it does and typical values. Hover over any input to read: What the parameter controls How it impacts trading Suggested ranges for scalping, day trading, and swing trading Start with defaults, then adjust based on your results and style. Step 7: Set Up Alerts Right-click chart → Add Alert → Condition: "Luxy Momentum v6" → Choose: "UT Bot — Buy" for long entries "UT Bot — Sell" for short entries "Base Long/Short" for filtered MA cross signals Optionally enable "Send real-time alert() on UT flip" in settings for immediate notifications. Common Workflow Variations: Conservative Trader: UT signal + Base signal + Candlestick pattern + Bias AVG > 70% Enter only at major support/resistance Wider UT sensitivity, multiple filters Aggressive Trader: UT signal + Bias AVG > 60% Enter immediately, no waiting Tighter UT sensitivity, minimal filters Swing Trader: Focus on Daily/Weekly Bias alignment Ignore intraday noise Use ORB and PDH/PDL less (or not at all) Wider stops, patient approach --- 9. PERFORMANCE AND OPTIMIZATION The indicator is optimized for speed, but with 15+ features running simultaneously, chart load time can add up. Here's how to keep it fast: Biggest Performance Gains: Disable Unused Timeframes: In "Time Frames" settings, turn OFF any timeframe you don't actively trade. Each disabled TF saves 10-15% calculation time. If you only day trade 5m, 15m, 1h, disable 1m, 2h, 4h. Hide Bias Table on Daily+: If you only trade intraday, enable "Hide BIAS table on 1D or above". This skips ALL table calculations on higher timeframes. Draw UT Visuals Only on Bar Close: Reduces intrabar rendering of SL/TP/Entry lines. Has ZERO impact on logic or alerts - purely visual optimization. Additional Optimizations: Turn off VWAP bands if you don't use them Disable candlestick patterns if you don't trade them Turn off Supertrend fill if you find it distracting (keep the line) Reduce "Limit to 10 bars" for SL/TP lines to minimize line objects Performance Features Built-In: Smart Caching: Higher timeframe data (3-day bias, weekly bias, etc.) updates once per day, not every bar Conditional Calculations: Volume filter only calculates when enabled. Swing filter only runs when enabled. Nothing computes if turned off. Modular Design: Every component is independent. Turn off what you don't need without breaking other features. Typical Load Times: 5m chart, all features ON, 7 timeframes: ~2-3 seconds 5m chart, core features only, 3 timeframes: ~1 second 1m chart, all features: ~4-5 seconds (many bars to calculate) If loading takes longer, you likely have too many indicators on the chart total (not just this one). --- 10. FAQ Q: How is this different from standard UT Bot indicators? A: Standard UT Bot (originally by @QuantNomad) is just the ATR trailing line and flip signals. This implementation adds: - Volume weighting and momentum adjustment to the trailing calculation - Multiple confirmation filters (swing, %, 2-bar, ZLSMA) - Smart composite stop loss system from multiple S/R layers - R-multiple take profit system with freeze-on-touch - Integration with multi-timeframe Bias Table - Visual audit trail with checkmarks Q: Can I use this for automated trading? A: The indicator is designed for discretionary trading. While it has clear signals and alerts, it's not a mechanical system. Context and judgment are required. Q: Does it repaint? A: No. All signals respect bar close. UT Bot logic runs intrabar but signals only trigger on confirmed bars. Alerts fire correctly with no lookahead. Q: Do I need to use all the features? A: Absolutely not. The indicator is modular. Many profitable traders use just UT Bot + Bias Table + Moving Averages. Start simple, add complexity only if needed. Q: How do I know which settings to use? A: Every single input has a detailed tooltip. Hover over any setting to see: What it does How it affects trading Typical values for scalping, day trading, swing trading Start with defaults, adjust gradually based on results. Q: Can I use this on crypto 24/7 markets? A: Yes. ORB will not work (no defined session), but everything else functions normally. Use "Day" anchor for VWAP instead of "Session". Q: The Bias Table is blank or not showing. A: Check: "Show Table" is ON Table position isn't overlapping another indicator's table (change position) At least one row is enabled "Hide BIAS table on 1D or above" is OFF (if on Daily+ chart) Q: Why are candlestick patterns not appearing? A: Patterns are relatively rare by design - they only appear at genuine reversal points. Check: Pattern toggles are ON "Min candle body %" isn't too high (try 0.05-0.10) You're looking at a chart with actual reversals (not strong trending market) Q: UT Bot is too sensitive/not sensitive enough. A: Adjust "Sensitivity (Key×ATR)". Lower number = tighter stop, more signals. Higher number = wider stop, fewer signals. Read the tooltip for guidance. Q: Can I get alerts for the Bias Table? A: The Bias Table is a dashboard for visual analysis, not a signal generator. Set alerts on UT Bot or Base signals, then manually check Bias Table for confirmation. Q: Does this work on stocks with low volume? A: Yes, but turn OFF the volume filter. Low volume stocks will never meet relative volume requirements. Q: How often should I check the Bias Table? A: Before every entry. It takes 2 seconds to glance at the AVG column and headline rows. This one check can save you from fighting the trend. Q: What if UT signal and Base signal disagree? A: UT Bot is more aggressive (ATR trailing). Base signals are more conservative (MA cross + filters). If they disagree, either: Wait for both to align (safest) Take the UT signal but with smaller size (aggressive) Skip the trade (conservative) There's no "right" answer - depends on your risk tolerance. --- FINAL NOTES The indicator gives you an edge. How you use that edge determines results. For questions, feedback, or support, comment on the indicator page or message the author. Happy Trading!
Pine Script® indicator
by orenluxy
10
First-Move-Wrong Toolkit [CHE] First-Move-Wrong Toolkit — Session-bound sweep rejection with structure confirmation Summary This indicator marks potential “first move wrong” reversals during a defined trading session. It looks for a quick sweep beyond the prior day high or low, or the opening range high or low, followed by rejection and a basic structure confirmation. Optional rules require a retest and a VWAP reclaim in the direction of the trade idea. The script renders session levels as right-extended lines, signals as labels, optional SL/TP guide lines for visualization, and background tints during sweep events. Pivots are confirmed using swing width, which reduces repaint risk compared to live swings. Motivation: Why this design? Intraday reversals often start with a liquidity sweep around obvious highs or lows. Acting on the sweep alone can be noisy, while waiting for structure break and a retest can be slow. This tool balances both by checking a sweep and rejection at session-relevant levels, then requiring a simple structure cue and, optionally, a retest and a VWAP filter. The goal is a clear, rule-based signal layer that is easy to audit on chart without hidden state. What’s different vs. standard approaches? Baseline reference: Simple sweep detectors or basic CHOCH markers that ignore session context and liquidity anchors. Architecture differences: Session-aware opening range tracking that finalizes after the chosen minutes from session start. Daily previous high and low pulled without lookahead, then extended forward as visual anchors. Confirmed pivot highs and lows to avoid repaint from live, unconfirmed swings. Optional retest rule using crossover or crossunder at the trigger level. Optional VWAP filter to demand reclaim in the intended direction. Global label cooldown to prevent clusters of signals. Practical effect: Fewer one-off flips around noisy levels, clearer alignment with session structure, and compact visual feedback through lines, labels, and tints. How it works (technical) Levels: During the defined session, the script builds an opening range high and low until the configured minute mark after session start, then freezes those levels for the day. It also fetches the previous day high and low from the daily timeframe without lookahead and extends them forward. Sweep and rejection: A sweep is defined as price moving beyond a target level and then rejecting back inside on the same bar. The script checks this condition separately for highs and lows against opening range and previous-day levels. Structure validation: Confirmed pivot highs and lows are computed using a symmetric swing width. A bearish idea requires a prior sweep of a high plus a break through the last confirmed swing low. A bullish idea requires a prior sweep of a low plus a break through the last confirmed swing high. Optional retest: If enabled, a bearish signal needs a cross under the bearish trigger level; a bullish signal needs a cross over the bullish trigger level. VWAP filter (optional): The script requires a reclaim of VWAP in the intended direction when enabled. State handling: Opening range values, previous-day lines, and the label cooldown timestamp are stored in persistent variables. Lines are created once and updated each bar to extend forward. Repaint considerations: Pivots confirm only after the specified swing width, reducing repaint. The daily level request is performed without lookahead. Signals use closed-bar checks implied by crossover and crossunder logic. Parameter Guide Session (local) — Defines the active trading window. Default nine to seventeen. Narrower windows focus on the main session drive. Opening Range (min) — Minutes from session start to finalize OR levels. Default fifteen. Shorter values react faster; longer values stabilize levels. Use PrevDay H/L levels — Toggle previous-day anchors. On by default. Use OR H/L levels — Toggle opening range anchors. On by default. Equal H/L tolerance (ticks) — Intended tolerance for equal highs or lows. Default one. (Unknown/Optional) in current signals. Swing width — Bars on both sides for confirmed pivots. Default two. Larger values reduce noise but confirm later. Require CHOCH after sweep — Enforces structure break after a sweep. On by default. Prefer retest entries — Requires crossover or crossunder of the trigger level. On by default. VWAP filter — Demands a reclaim of VWAP in signal direction. Off by default. TP in R (guide) — Multiplier for visual TP guides. Default one. Visualization only. Show levels / Show signals / Show R-guides — Rendering toggles. R-guides are visual aids, not orders. Label cooldown (bars) — Minimum bars between labels. Default five. Higher values reduce clusters. Palette inputs — Colors and transparencies for levels, labels, VWAP, and tints. Reading & Interpretation Lines: Dotted lines represent opening range high and low after the OR window completes. Dashed lines represent previous-day high and low. Signals: “Long” labels appear after a low-side sweep with rejection and structure confirmation, subject to optional retest and VWAP rules. “Short” labels mirror this on the high side. Background tints: Red-tinted bars indicate a high-side sweep and rejection. Green-tinted bars indicate a low-side sweep and rejection. R-guides: Circles display a visual stop level at the bar extreme and a target guide based on the selected multiple. They are informational only. Practical Workflows & Combinations Session reversal scans: During the first hour, watch for sweeps around previous-day or opening range levels, then wait for structure confirmation and optional retest. Trend following with filters: Combine signals with higher-timeframe structure or a moving average regime check. Ignore signals against the dominant regime. Exits and stops: Use the visual stop as a reference near the sweep extreme; adapt the target guide to volatility and market conditions. Multi-asset / Multi-TF: Works on intraday timeframes for liquid futures, indices, forex, and large-cap equities. Start with default settings and adjust swing width and OR minutes to instrument volatility. Behavior, Constraints & Performance Repaint/confirmation: Pivots confirm after the swing window completes. Signals occur only when conditions are met on closed bars. security()/HTF: Daily previous-day levels are requested without lookahead to reduce repaint. Resources: Uses persistent variables and line updates per bar; no heavy loops or arrays. Known limits: Signals can arrive later when swing width is large. Gaps around session boundaries may distort OR levels. VWAP behavior may vary with partial sessions or illiquid assets. Sensible Defaults & Quick Tuning Starting point: Session nine to seventeen, opening range fifteen minutes, swing width two, CHOCH required, retest on, VWAP off, cooldown five bars. Too many flips: Increase swing width, enable VWAP filter, or raise label cooldown. Too sluggish: Reduce swing width or shorten the opening range window. Too many session-level hits: Disable either previous-day levels or opening range levels to simplify context. What this indicator is—and isn’t This is a session-aware visualization and signal layer focused on sweep-plus-structure behavior. It is not a complete trading system and does not manage orders, risk, or portfolio exposure. Use it with market structure, risk limits, and execution rules that fit your process. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script® indicator
by chervolino
1
RSI Donchian Channel [DCAUT]█ RSI Donchian Channel 📊 ORIGINALITY & INNOVATION The RSI Donchian Channel represents an important synthesis of two complementary analytical frameworks: momentum oscillators and breakout detection systems. This indicator addresses a common limitation in traditional RSI analysis by replacing fixed overbought/oversold thresholds with adaptive zones derived from historical RSI extremes. Key Enhancement: Traditional RSI analysis relies on static threshold levels (typically 30/70), which may not adequately reflect changing market volatility regimes. This indicator adapts the reference zones dynamically based on the actual RSI behavior over the lookback period, helping traders identify meaningful momentum extremes relative to recent price action rather than arbitrary fixed levels. The implementation combines the proven momentum measurement capabilities of RSI with Donchian Channel's breakout detection methodology, creating a framework that identifies both momentum exhaustion points and potential continuation signals through the same analytical lens. 📐 MATHEMATICAL FOUNDATION Core Calculation Process: Step 1: RSI Calculation The Relative Strength Index measures momentum by comparing the magnitude of recent gains to recent losses: Calculate price changes between consecutive periods Separate positive changes (gains) from negative changes (losses) Apply selected smoothing method (RMA standard, also supports SMA, EMA, WMA) to both gain and loss series Compute Relative Strength (RS) as the ratio of smoothed gains to smoothed losses Transform RS into bounded 0-100 scale using the formula: RSI = 100 - (100 / (1 + RS)) Step 2: Donchian Channel Application The Donchian Channel identifies the highest and lowest RSI values within the specified lookback period: Upper Channel: Highest RSI value over the lookback period, represents the recent momentum peak Lower Channel: Lowest RSI value over the lookback period, represents the recent momentum trough Middle Channel (Basis): Average of upper and lower channels, serves as equilibrium reference Channel Width Dynamics: The distance between upper and lower channels reflects RSI volatility. Wide channels indicate high momentum variability, while narrow channels suggest momentum consolidation and potential breakout preparation. The indicator monitors channel width over a 100-period window to identify squeeze conditions that often precede significant momentum shifts. 📊 COMPREHENSIVE SIGNAL ANALYSIS Primary Signal Categories: Breakout Signals: Upper Breakout: RSI crosses above the upper channel, indicates momentum reaching new relative highs and potential trend continuation, particularly significant when accompanied by price confirmation Lower Breakout: RSI crosses below the lower channel, suggests momentum reaching new relative lows and potential trend exhaustion or reversal setup Breakout strength is enhanced when the channel is narrow prior to the breakout, indicating a transition from consolidation to directional movement Mean Reversion Signals: Upper Touch Without Breakout: RSI reaches the upper channel but fails to break through, may indicate momentum exhaustion and potential reversal opportunity Lower Touch Without Breakout: RSI reaches the lower channel without breakdown, suggests potential bounce as momentum reaches oversold extremes Return to Basis: RSI moving back toward the middle channel after touching extremes signals momentum normalization Trend Strength Assessment: Sustained Upper Channel Riding: RSI consistently remains near or above the upper channel during strong uptrends, indicates persistent bullish momentum Sustained Lower Channel Riding: RSI stays near or below the lower channel during strong downtrends, reflects persistent bearish pressure Basis Line Position: RSI position relative to the middle channel helps identify the prevailing momentum bias Channel Compression Patterns: Squeeze Detection: Channel width narrowing to 100-period lows indicates momentum consolidation, often precedes significant directional moves Expansion Phase: Channel widening after a squeeze confirms the initiation of a new momentum regime Persistent Narrow Channels: Extended periods of tight channels suggest market indecision and accumulation/distribution phases 🎯 STRATEGIC APPLICATIONS Trend Continuation Strategy: This approach focuses on identifying and trading momentum breakouts that confirm established trends: Identify the prevailing price trend using higher timeframe analysis or trend-following indicators Wait for RSI to break above the upper channel in uptrends (or below the lower channel in downtrends) Enter positions in the direction of the breakout when price action confirms the momentum shift Place protective stops below the recent swing low (long positions) or above swing high (short positions) Target profit levels based on prior swing extremes or use trailing stops to capture extended moves Exit when RSI crosses back through the basis line in the opposite direction Mean Reversion Strategy: This method capitalizes on momentum extremes and subsequent corrections toward equilibrium: Monitor for RSI reaching the upper or lower channel boundaries Look for rejection signals (price reversal patterns, volume divergence) when RSI touches the channels Enter counter-trend positions when RSI begins moving back toward the basis line Use the basis line as the initial profit target for mean reversion trades Implement tight stops beyond the channel extremes to limit risk on failed reversals Scale out of positions as RSI approaches the basis line and closes the position when RSI crosses the basis Breakout Preparation Strategy: This approach positions traders ahead of potential volatility expansion from consolidation phases: Identify squeeze conditions when channel width reaches 100-period lows Monitor price action for consolidation patterns (triangles, rectangles, flags) during the squeeze Prepare conditional orders for breakouts in both directions from the consolidation Enter positions when RSI breaks out of the narrow channel with expanding width Use the channel width expansion as a confirmation signal for the breakout's validity Manage risk with stops just inside the opposite channel boundary Multi-Timeframe Confluence Strategy: Combining RSI Donchian Channel analysis across multiple timeframes can improve signal reliability: Identify the primary trend direction using a higher timeframe RSI Donchian Channel (e.g., daily or weekly) Use a lower timeframe (e.g., 4-hour or hourly) to time precise entry points Enter long positions when both timeframes show RSI above their respective basis lines Enter short positions when both timeframes show RSI below their respective basis lines Avoid trades when timeframes provide conflicting signals (e.g., higher timeframe below basis, lower timeframe above) Exit when the higher timeframe RSI crosses its basis line in the opposite direction Risk Management Guidelines: Effective risk management is essential for all RSI Donchian Channel strategies: Position Sizing: Calculate position sizes based on the distance between entry point and stop loss, limiting risk to 1-2% of capital per trade Stop Loss Placement: For breakout trades, place stops just inside the opposite channel boundary; for mean reversion trades, use stops beyond the channel extremes Profit Targets: Use the basis line as a minimum target for mean reversion trades; for trend trades, target prior swing extremes or use trailing stops Channel Width Context: Increase position sizes during narrow channels (lower volatility) and reduce sizes during wide channels (higher volatility) Correlation Awareness: Monitor correlations between traded instruments to avoid over-concentration in similar setups 📋 DETAILED PARAMETER CONFIGURATION RSI Source: Defines the price data series used for RSI calculation: Close (Default): Standard choice providing end-of-period momentum assessment, suitable for most trading styles and timeframes High-Low Average (HL2): Reduces the impact of closing auction dynamics, useful for markets with significant end-of-day volatility High-Low-Close Average (HLC3): Provides a more balanced view incorporating the entire period's range Open-High-Low-Close Average (OHLC4): Offers the most comprehensive price representation, helpful for identifying overall period sentiment Strategy Consideration: Use Close for end-of-period signals, HL2 or HLC3 for intraday volatility reduction, OHLC4 for capturing full period dynamics RSI Length: Controls the number of periods used for RSI calculation: Short Periods (5-9): Highly responsive to recent price changes, produces more frequent signals with increased false signal risk, suitable for short-term trading and volatile markets Standard Period (14): Widely accepted default balancing responsiveness with stability, appropriate for swing trading and intermediate-term analysis Long Periods (21-28): Produces smoother RSI with fewer signals but more reliable trend identification, better for position trading and reducing noise in choppy markets Optimization Approach: Test different lengths against historical data for your specific market and timeframe, consider using longer periods in ranging markets and shorter periods in trending markets RSI MA Type: Determines the smoothing method applied to price changes in RSI calculation: RMA (Relative Moving Average - Default): Wilder's original smoothing method providing stable momentum measurement with gradual response to changes, maintains consistency with classical RSI interpretation SMA (Simple Moving Average): Treats all periods equally, responds more quickly to changes than RMA but may produce more whipsaws in volatile conditions EMA (Exponential Moving Average): Weights recent periods more heavily, increases responsiveness at the cost of potential noise, suitable for traders prioritizing early signal generation WMA (Weighted Moving Average): Applies linear weighting favoring recent data, offers a middle ground between SMA and EMA responsiveness Selection Guidance: Maintain RMA for consistency with traditional RSI analysis, use EMA or WMA for more responsive signals in fast-moving markets, apply SMA for maximum simplicity and transparency DC Length: Specifies the lookback period for Donchian Channel calculation on RSI values: Short Periods (10-14): Creates tight channels that adapt quickly to changing momentum conditions, generates more frequent trading signals but increases sensitivity to short-term RSI fluctuations Standard Period (20): Balances channel responsiveness with stability, aligns with traditional Bollinger Bands and moving average periods, suitable for most trading styles Long Periods (30-50): Produces wider, more stable channels that better represent sustained momentum extremes, reduces signal frequency while improving reliability, appropriate for position traders and higher timeframes Calibration Strategy: Match DC length to your trading timeframe (shorter for day trading, longer for swing trading), test channel width behavior during different market regimes, consider using adaptive periods that adjust to volatility conditions Market Adaptation: Use shorter DC lengths in trending markets to capture momentum shifts earlier, apply longer periods in ranging markets to filter noise and focus on significant extremes Parameter Combination Recommendations: Scalping/Day Trading: RSI Length 5-9, DC Length 10-14, EMA or WMA smoothing for maximum responsiveness Swing Trading: RSI Length 14, DC Length 20, RMA smoothing for balanced analysis (default configuration) Position Trading: RSI Length 21-28, DC Length 30-50, RMA or SMA smoothing for stable signals High Volatility Markets: Longer RSI periods (21+) with standard DC length (20) to reduce noise Low Volatility Markets: Standard RSI length (14) with shorter DC length (10-14) to capture subtle momentum shifts 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Adaptive Threshold Mechanism: Unlike traditional RSI analysis with fixed 30/70 thresholds, this indicator's Donchian Channel approach provides several improvements: Context-Aware Extremes: Overbought/oversold levels adjust automatically based on recent momentum behavior rather than arbitrary fixed values Volatility Adaptation: In low volatility periods, channels narrow to reflect tighter momentum ranges; in high volatility, channels widen appropriately Market Regime Recognition: The indicator implicitly adapts to different market conditions without manual threshold adjustments False Signal Reduction: Adaptive channels help reduce premature reversal signals that often occur with fixed thresholds during strong trends Signal Quality Characteristics: The indicator's dual-purpose design provides distinct advantages for different trading objectives: Breakout Trading: Channel boundaries offer clear, objective breakout levels that update dynamically, eliminating the ambiguity of when momentum becomes "too high" or "too low" Mean Reversion: The basis line provides a natural profit target for reversion trades, representing the midpoint of recent momentum extremes Trend Strength: Persistent channel boundary riding offers an objective measure of trend strength without additional indicators Consolidation Detection: Channel width analysis provides early warning of potential volatility expansion from compression phases Comparative Analysis: When compared to traditional RSI implementations and other momentum frameworks: vs. Fixed Threshold RSI: Provides market-adaptive reference levels rather than static values, helping to reduce false signals during trending markets where RSI can remain "overbought" or "oversold" for extended periods vs. RSI Bollinger Bands: Offers clearer breakout signals and more intuitive extreme identification through actual high/low boundaries rather than statistical standard deviations vs. Stochastic Oscillator: Maintains RSI's momentum measurement advantages (unbounded calculation avoiding scale compression) while adding the breakout detection capabilities of Donchian Channels vs. Standard Donchian Channels: Applies breakout methodology to momentum space rather than price, providing earlier signals of potential trend changes before price breakouts occur Performance Characteristics: The indicator exhibits specific behavioral patterns across different market conditions: Trending Markets: Excels at identifying momentum continuation through channel breakouts, RSI tends to ride one channel boundary during strong trends, providing trend confirmation Ranging Markets: Channel width narrows during consolidation, offering early preparation signals for potential breakout trading opportunities High Volatility: Channels widen to reflect increased momentum variability, automatically adjusting signal sensitivity to match market conditions Low Volatility: Channels contract, making the indicator more sensitive to subtle momentum shifts that may be significant in calm market environments Transition Periods: Channel squeezes often precede major trend changes, offering advance warning of potential regime shifts Limitations and Considerations: Users should be aware of certain operational characteristics: Lookback Dependency: Channel boundaries depend entirely on the lookback period, meaning the indicator has no predictive element beyond identifying current momentum relative to recent history Lag Characteristics: As with all moving average-based indicators, RSI calculation introduces lag, and channel boundaries update only as new extremes occur within the lookback window Range-Bound Sensitivity: In extremely tight ranges, channels may become very narrow, potentially generating excessive signals from minor momentum fluctuations Trending Persistence: During very strong trends, RSI may remain at channel extremes for extended periods, requiring patience for mean reversion setups or commitment to trend-following approaches No Absolute Levels: Unlike traditional RSI, this indicator provides no fixed reference points (like 50), making it less suitable for strategies that depend on absolute momentum readings USAGE NOTES This indicator is designed for technical analysis and educational purposes to help traders understand momentum dynamics and identify potential trading opportunities. The RSI Donchian Channel has limitations and should not be used as the sole basis for trading decisions. Important considerations: Performance varies significantly across different market conditions, timeframes, and instruments Historical signal patterns do not guarantee future results, as market behavior continuously evolves Effective use requires understanding of both RSI momentum principles and Donchian Channel breakout concepts Risk management practices (stop losses, position sizing, diversification) are essential for any trading application Consider combining with additional analytical tools such as volume analysis, price action patterns, or trend indicators for confirmation Backtest thoroughly on your specific instruments and timeframes before live trading implementation Be aware that optimization on historical data may lead to curve-fitting and poor forward performance The indicator performs best when used as part of a comprehensive trading methodology that incorporates multiple forms of market analysis, sound risk management, and realistic expectations about win rates and drawdowns.
Pine Script® indicator
by DCAUT
JK_Traders_Reality_LibLibrary "JK_Traders_Reality_Lib" This library contains common elements used in Traders Reality scripts calcPvsra(pvsraVolume, pvsraHigh, pvsraLow, pvsraClose, pvsraOpen, redVectorColor, greenVectorColor, violetVectorColor, blueVectorColor, darkGreyCandleColor, lightGrayCandleColor)   calculate the pvsra candle color and return the color as well as an alert if a vector candle has apperared. Situation "Climax" Bars with volume >= 200% of the average volume of the 10 previous chart TFs, or bars where the product of candle spread x candle volume is >= the highest for the 10 previous chart time TFs. Default Colors: Bull bars are green and bear bars are red. Situation "Volume Rising Above Average" Bars with volume >= 150% of the average volume of the 10 previous chart TFs. Default Colors: Bull bars are blue and bear are violet.   Parameters:      pvsraVolume (float) : the instrument volume series (obtained from request.sequrity)      pvsraHigh (float) : the instrument high series (obtained from request.sequrity)      pvsraLow (float) : the instrument low series (obtained from request.sequrity)      pvsraClose (float) : the instrument close series (obtained from request.sequrity)      pvsraOpen (float) : the instrument open series (obtained from request.sequrity)      redVectorColor (simple color) : red vector candle color      greenVectorColor (simple color) : green vector candle color      violetVectorColor (simple color) : violet/pink vector candle color      blueVectorColor (simple color) : blue vector candle color      darkGreyCandleColor (simple color) : regular volume candle down candle color - not a vector      lightGrayCandleColor (simple color) : regular volume candle up candle color - not a vector @return adr(length, barsBack)   Parameters:      length (simple int) : how many elements of the series to calculate on      barsBack (simple int) : starting possition for the length calculation - current bar or some other value eg last bar @return adr the adr for the specified lenght adrHigh(adr, fromDo)   Calculate the ADR high given an ADR   Parameters:      adr (float) : the adr      fromDo (simple bool) : boolean flag, if false calculate traditional adr from high low of today, if true calcualte from exchange midnight @return adrHigh the position of the adr high in price adrLow(adr, fromDo)   Parameters:      adr (float) : the adr      fromDo (simple bool) : boolean flag, if false calculate traditional adr from high low of today, if true calcualte from exchange midnight @return adrLow the position of the adr low in price splitSessionString(sessXTime)   given a session in the format 0000-0100:23456 split out the hours and minutes   Parameters:      sessXTime (simple string) : the session time string usually in the format 0000-0100:23456 @return calcSessionStartEnd(sessXTime, gmt)   calculate the start and end timestamps of the session   Parameters:      sessXTime (simple string) : the session time string usually in the format 0000-0100:23456      gmt (simple string) : the gmt offset string usually in the format GMT+1 or GMT+2 etc @return drawOpenRange(sessXTime, sessXcol, showOrX, gmt)   draw open range for a session   Parameters:      sessXTime (simple string) : session string in the format 0000-0100:23456      sessXcol (simple color) : the color to be used for the opening range box shading      showOrX (simple bool) : boolean flag to toggle displaying the opening range      gmt (simple string) : the gmt offset string usually in the format GMT+1 or GMT+2 etc @return void drawSessionHiLo(sessXTime, showRectangleX, showLabelX, sessXcolLabel, sessXLabel, gmt, sessionLineStyle)   Parameters:      sessXTime (simple string) : session string in the format 0000-0100:23456      showRectangleX (simple bool)      showLabelX (simple bool)      sessXcolLabel (simple color) : the color to be used for the hi/low lines and label      sessXLabel (simple string) : the session label text      gmt (simple string) : the gmt offset string usually in the format GMT+1 or GMT+2 etc      sessionLineStyle (simple string) : the line stile for the session high low lines @return void calcDst()   calculate market session dst on/off flags @return indicating if DST is on or off for a particular region timestampPreviousDayOfWeek(previousDayOfWeek, hourOfDay, gmtOffset, oneWeekMillis)   Timestamp any of the 6 previous days in the week (such as last Wednesday at 21 hours GMT)   Parameters:      previousDayOfWeek (simple string) : Monday or Satruday      hourOfDay (simple int) : the hour of the day when psy calc is to start      gmtOffset (simple string) : the gmt offset string usually in the format GMT+1 or GMT+2 etc      oneWeekMillis (simple int) : the amount if time for a week in milliseconds @return the timestamp of the psy level calculation start time getdayOpen()   get the daily open - basically exchange midnight @return the daily open value which is float price newBar(res)   new_bar: check if we're on a new bar within the session in a given resolution   Parameters:      res (simple string) : the desired resolution @return true/false is a new bar for the session has started toPips(val)   to_pips Convert value to pips   Parameters:      val (float) : the value to convert to pips @return the value in pips rLabel(ry, rtext, rstyle, rcolor, valid, labelXOffset)   a function that draws a right aligned lable for a series during the current bar   Parameters:      ry (float) : series float the y coordinate of the lable      rtext (simple string) : the text of the label      rstyle (simple string) : the style for the lable      rcolor (simple color) : the color for the label      valid (simple bool) : a boolean flag that allows for turning on or off a lable      labelXOffset (int) : how much to offset the label from the current position rLabelOffset(ry, rtext, rstyle, rcolor, valid, labelOffset)   a function that draws a right aligned lable for a series during the current bar   Parameters:      ry (float) : series float the y coordinate of the lable      rtext (string) : the text of the label      rstyle (simple string) : the style for the lable      rcolor (simple color) : the color for the label      valid (simple bool) : a boolean flag that allows for turning on or off a lable      labelOffset (int) rLabelLastBar(ry, rtext, rstyle, rcolor, valid, labelXOffset)   a function that draws a right aligned lable for a series only on the last bar   Parameters:      ry (float) : series float the y coordinate of the lable      rtext (string) : the text of the label      rstyle (simple string) : the style for the lable      rcolor (simple color) : the color for the label      valid (simple bool) : a boolean flag that allows for turning on or off a lable      labelXOffset (int) : how much to offset the label from the current position drawLine(xSeries, res, tag, xColor, xStyle, xWidth, xExtend, isLabelValid, xLabelOffset, validTimeFrame)   a function that draws a line and a label for a series   Parameters:      xSeries (float) : series float the y coordinate of the line/label      res (simple string) : the desired resolution controlling when a new line will start      tag (simple string) : the text for the lable      xColor (simple color) : the color for the label      xStyle (simple string) : the style for the line      xWidth (simple int) : the width of the line      xExtend (simple string) : extend the line      isLabelValid (simple bool) : a boolean flag that allows for turning on or off a label      xLabelOffset (int)      validTimeFrame (simple bool) : a boolean flag that allows for turning on or off a line drawn drawLineDO(xSeries, res, tag, xColor, xStyle, xWidth, xExtend, isLabelValid, xLabelOffset, validTimeFrame)   a function that draws a line and a label for the daily open series   Parameters:      xSeries (float) : series float the y coordinate of the line/label      res (simple string) : the desired resolution controlling when a new line will start      tag (simple string) : the text for the lable      xColor (simple color) : the color for the label      xStyle (simple string) : the style for the line      xWidth (simple int) : the width of the line      xExtend (simple string) : extend the line      isLabelValid (simple bool) : a boolean flag that allows for turning on or off a label      xLabelOffset (int)      validTimeFrame (simple bool) : a boolean flag that allows for turning on or off a line drawn drawPivot(pivotLevel, res, tag, pivotColor, pivotLabelColor, pivotStyle, pivotWidth, pivotExtend, isLabelValid, validTimeFrame, levelStart, pivotLabelXOffset)   draw a pivot line - the line starts one day into the past   Parameters:      pivotLevel (float) : series of the pivot point      res (simple string) : the desired resolution      tag (simple string) : the text to appear      pivotColor (simple color) : the color of the line      pivotLabelColor (simple color) : the color of the label      pivotStyle (simple string) : the line style      pivotWidth (simple int) : the line width      pivotExtend (simple string) : extend the line      isLabelValid (simple bool) : boolean param allows to turn label on and off      validTimeFrame (simple bool) : only draw the line and label at a valid timeframe      levelStart (int) : basically when to start drawing the levels      pivotLabelXOffset (int) : how much to offset the label from its current postion @return the pivot line series getPvsraFlagByColor(pvsraColor, redVectorColor, greenVectorColor, violetVectorColor, blueVectorColor, lightGrayCandleColor)   convert the pvsra color to an internal code   Parameters:      pvsraColor (color) : the calculated pvsra color      redVectorColor (simple color) : the user defined red vector color      greenVectorColor (simple color) : the user defined green vector color      violetVectorColor (simple color) : the user defined violet vector color      blueVectorColor (simple color) : the user defined blue vector color      lightGrayCandleColor (simple color) : the user defined regular up candle color @return pvsra internal code updateZones(pvsra, direction, boxArr, maxlevels, pvsraHigh, pvsraLow, pvsraOpen, pvsraClose, transperancy, zoneupdatetype, zonecolor, zonetype, borderwidth, coloroverride, redVectorColor, greenVectorColor, violetVectorColor, blueVectorColor)   a function that draws the unrecovered vector candle zones   Parameters:      pvsra (int) : internal code      direction (simple int) : above or below the current pa      boxArr (array) : the array containing the boxes that need to be updated      maxlevels (simple int) : the maximum number of boxes to draw      pvsraHigh (float) : the pvsra high value series      pvsraLow (float) : the pvsra low value series      pvsraOpen (float) : the pvsra open value series      pvsraClose (float) : the pvsra close value series      transperancy (simple int) : the transparencfy of the vecor candle zones      zoneupdatetype (simple string) : the zone update type      zonecolor (simple color) : the zone color if overriden      zonetype (simple string) : the zone type      borderwidth (simple int) : the width of the border      coloroverride (simple bool) : if the color overriden      redVectorColor (simple color) : the user defined red vector color      greenVectorColor (simple color) : the user defined green vector color      violetVectorColor (simple color) : the user defined violet vector color      blueVectorColor (simple color) : the user defined blue vector color cleanarr(arr)   clean an array from na values   Parameters:      arr (array) : the array to clean @return if the array was cleaned calcPsyLevels(oneWeekMillis, showPsylevels, psyType, sydDST)   calculate the psy levels 4 hour res based on how mt4 does it mt4 code int Li_4 = iBarShift(NULL, PERIOD_H4, iTime(NULL, PERIOD_W1, Li_0)) - 2 - Offset; ObjectCreate("PsychHi", OBJ_TREND, 0, Time , iHigh(NULL, PERIOD_H4, iHighest(NULL, PERIOD_H4, MODE_HIGH, 2, Li_4)), iTime(NULL, PERIOD_W1, 0), iHigh(NULL, PERIOD_H4, iHighest(NULL, PERIOD_H4, MODE_HIGH, 2, Li_4))); so basically because the session is 8 hours and we are looking at a 4 hour resolution we only need to take the highest high an lowest low of 2 bars we use the gmt offset to adjust the 0000-0800 session to Sydney open which is at 2100 during dst and at 2200 otherwize. (dst - spring foward, fall back) keep in mind sydney is in the souther hemisphere so dst is oposite of when london and new york go into dst   Parameters:      oneWeekMillis (simple int) : a constant value      showPsylevels (simple bool) : should psy levels be calculated      psyType (simple string) : the type of Psylevels - crypto or forex      sydDST (bool) : is Sydney in DST @return adrHiLo(length, barsBack, fromDO)   Parameters:      length (simple int) : how many elements of the series to calculate on      barsBack (simple int) : starting possition for the length calculation - current bar or some other value eg last bar      fromDO (simple bool) : boolean flag, if false calculate traditional adr from high low of today, if true calcualte from exchange midnight @return adr, adrLow and adrHigh - the adr, the position of the adr High and adr Low with respect to price drawSessionHiloLite(sessXTime, showRectangleX, showLabelX, sessXcolLabel, sessXLabel, gmt, sessionLineStyle, sessXcol)   Parameters:      sessXTime (simple string) : session string in the format 0000-0100:23456      showRectangleX (simple bool)      showLabelX (simple bool)      sessXcolLabel (simple color) : the color to be used for the hi/low lines and label      sessXLabel (simple string) : the session label text      gmt (simple string) : the gmt offset string usually in the format GMT+1 or GMT+2 etc      sessionLineStyle (simple string) : the line stile for the session high low lines      sessXcol (simple color) : - the color for the box color that will color the session @return void msToHmsString(ms)   converts milliseconds into an hh:mm string. For example, 61000 ms to '0:01:01'   Parameters:      ms (int) : - the milliseconds to convert to hh:mm @return string - the converted hh:mm string countdownString(openToday, closeToday, showMarketsWeekends, oneDay)   that calculates how much time is left until the next session taking the session start and end times into account. Note this function does not work on intraday sessions.   Parameters:      openToday (int) : - timestamps of when the session opens in general - note its a series because the timestamp was created using the dst flag which is a series itself thus producing a timestamp series      closeToday (int) : - timestamp of when the session closes in general - note its a series because the timestamp was created using the dst flag which is a series itself thus producing a timestamp series @return a countdown of when next the session opens or 'Open' if the session is open now      showMarketsWeekends (simple bool)      oneDay (simple int) countdownStringSyd(sydOpenToday, sydCloseToday, showMarketsWeekends, oneDay)   that calculates how much time is left until the next session taking the session start and end times into account. special case of intraday sessions like sydney   Parameters:      sydOpenToday (int)      sydCloseToday (int)      showMarketsWeekends (simple bool)      oneDay (simple int)
Pine Script® library
by Justas123
2
cd_VWAP_mtg_CxCd_VWAP_mtg_Cx Overview The most important condition for being successful and profitable in the market is to consistently follow the same rules without compromise, while the price constantly moves in countless different ways. Regardless of the concept or trading school, those who have rules win. In this indicator, we will define and use three main sections to set and apply our rules. The indicator uses the VWAP (Volume Weighted Average Price) — price weighted by volume. Two VWAPs can be displayed either by manually entering date and time, or by selecting from the menu. From the menu, you can select the following reference levels: • HTF Open: Opening candle of the higher timeframe • ATH / ATL: All-Time High / All-Time Low candles • PMH / PML, PWH / PWL, PDH / PDL, PH4H / PH4L: Previous Month, Week, Day, or H4 Highs/Lows • MH / ML, WH / WL, DH / DL, H4H / H4L: Current Month, Week, Day, or H4 Highs/Lows Additionally, it includes: • Mitigation / Order Block zones (local buyer-seller balance) across two timeframes. • Buy/Sell Side Liquidity levels (BSL / SSL) from the aligned higher timeframe (target levels). ________________________________________ Components and Usage 1 – VWAP Calculated using the classical method: • High + Volume for the upper value • Close + Volume for the middle value • Low + Volume for the lower value The VWAP is displayed as a colored band, where the coloring represents the bias. Let’s call this band FVB (Fair Value Band) for ease of explanation. The FVB represents the final line of defense, the buyer/seller boundary, and in technical terms, it can be viewed as premium/discount zones or support/resistance levels. Within this critical area, the strong side continues its move, while the weaker side is forced to retreat. But does the side that breaks beyond the band always keep going? We all know that’s not always the case — in different pairs and timeframes, price often violates both the upper and lower edges multiple times. To achieve more consistent analysis, we’ll define a new set of rules. ________________________________________ 2 – Mitigation / Order Blocks In trading literature, there are dozens of different definitions and uses of mitigation or order blocks. Here, we will interpret the candlesticks to create our own definition, and we’ll use the zones defined by candles that fit this pattern. For simplicity, let’s abbreviate mitigation as “mtg.” For a candle to be selected as an mtg, it must clearly show strength from one side (buyers or sellers) — which can also be observed visually on the chart. ________________________________________ Bullish mtg criteria: 1. The first candle must be bullish (close > open) → buyers are strong. 2. The next candle makes a new high (buyers push higher) but fails to close above and pulls back to close inside the previous range → sellers react. It also must not break the previous low → buyers defend. 3. In the following candle(s), as long as the first candle’s low is protected and the second candle’s high is broken, it indicates buyer strength → a bullish mtg is confirmed. When price returns to this zone later (gets mitigated), the expectation is that the zone holds and price pushes upward again. If the low is violated, the mtg becomes invalid. In technical terms: If the previous candle’s high is broken but no close occurs above it, the expectation is a reversal move that will retest its low. Question: What if the low is protected and in the next candle(s) a new high forms? Answer: → Bullish mtg. Bearish mtg (opposite) 3 – Buy/Sell Side Liquidity Levels With the help of the aligned higher timeframe (swing points), we will define our market structure framework and set our liquidity targets accordingly. Let’s put the pieces together. If we continue explaining from a trade-focused perspective, our first priority should be our bias — our projection or expectation of the market’s potential movement. We will determine this bias using the FVB. Since we know the band often gets violated on both sides, we want the price action to convince us of its strength. To do that, we’ll use the first candle that closes beyond the band. The distance from that candle’s high to low will be our threshold range Bullish level = high + (candle length × coefficient) Bearish level = low - (candle length × coefficient) When the price closes beyond this threshold, it demonstrates strength, and our bias will now align in that direction. How long will this bias remain valid? → Until a closing candle appears on the opposite side of the band. If a close occurs on the opposite side, then a new bias will only be confirmed once the new threshold level is broken. During the period in between, we have no bias. Let’s continue on the chart: Now that our bias has been established, where and how do we look for trade opportunities? There are two possible entry approaches: • Aggressive entry: Enter immediately with the breakout. • Conservative entry: Wait for a pullback and enter once a suitable structure forms. (The choice depends on the user’s preference.) At this stage, the user can apply their own entry model. Let’s give an example: Let’s assume we’re looking for setups using HTF sweep + LTF CISD confirmation. Once our bias turns bearish, we look for an HTF sweep forming on or near an FVB or mtg block, and then confirm the entry with a CISD signal. In summary: • FVB defines the bias, the entry zone, and the target zone. • Mtg blocks represent entry zones. • BSL / SSL levels suggest target zones. Overlapping FVB and mtg blocks are expected to be more effective. The indicator also provides an option for a second FVB. A band attached to a lower timeframe can be used as confirmation. • Main band: Bias + FVB • Extra band: Entry trigger confirmed by a close beyond it. Mtg blocks can provide trade entry opportunities, especially when the price is moving strongly in one direction (flow). Consecutive or complementary mtg blocks indicate that the price is decisive in one direction, while sometimes also showing areas where we should wait before entering. Mtg blocks that contain an FVG (Fair Value Gap) within their body are expected to be more effective. Settings: The default values are set to 1-3-5m, optimized for scalping trades. VWAP settings: Main VWAP (FVB): • Can be set by selecting a start time, manually entering date and time, or choosing a predefined level. Extra VWAP (FVB): • Set from the menu. If not needed, select “none.” • Visibility, color, and fill settings for VWAP are located here. • Threshold levels visibility and color options are also in this section. • The multiplier is used for calculating the threshold level. Important: • If the Extra VWAP is selected but not displayed, you need to increase the chart timeframe. o Example: If the chart is on 3m and you select WH from the extra options, it will not display correctly. • Upper limits for VWAP: o 1m and 3m charts: daily High/Low o 5m chart: weekly High/Low ________________________________________ Mtg Settings: • Visibility and color settings for blocks are configured here. • To display on a second timeframe, the box must be checked and the timeframe specified. • Optional display modes: “only active blocks,” “only last violated mtg,” or “all.” • For confirmation and removal criteria, choosing high/low or close determines the source used for mtg block formation and deletion conditions. BSL/SSL Settings: • Visibility, color, font size, and line style can be configured in this section. When “Auto” is selected, the aligned timeframe is determined automatically by the indicator, while in manual mode, the user defines the timeframe. Final Words: Simply opening trades every time the price touches the VWAP or mtg blocks will not make you a profitable trader. Searching for setups with similar structures while maintaining proper risk management will yield better results in the long run. I would be happy to hear your feedback and suggestions. Happy trading!
Pine Script® indicator
by cdikici71
23
Bullish Breakaway Dual Session-Publish-Consolidated FVG Inspired by the FVG Concept: This indicator is built on the Fair Value Gap (FVG) concept, with a focus on Consolidated FVG. Unlike traditional FVGs, this version only works within a defined session (e.g., ETH 18:00–17:00 or RTH 09:30–16:00). Bullish consolidated FVG & Bullish breakaway candle Begins when a new intraday low is printed. After that, the indicator searches for the 1st bullish breakaway candle, which must have its low above the high of the intraday low candle. Any candles in between are part of the consolidated FVG zone. Once the 1st breakaway forms, the indicator will shades the candle’s range (high to low). Then it will use this candle as an anchor to search for the 2nd, 3rd, etc. breakaways until the session ends. Session Reset: Occurs at session close. Repaint Behavior: If a new intraday (or intra-session) low forms, earlier breakaway patterns are wiped, and the system restarts from the new low. Counter: A session-based counter at the top of the chart displays how many bullish consolidated FVGs have formed. Settings • Session Setup: Choose ETH, RTH, or custom session. The indicator is designed for CME futures in New York timezone, but can be adjusted for other markets. If nothing appears on your chart, check if you loaded it during an inactive session (e.g., weekend/Friday night). • Max Zones to Show: Default = 3 (recommended). You can increase, but 3 zones are usually most useful. • Timeframe: Best on 1m, 5m, or 15m. (If session range is big, try higher time frame) Usage 1. Avoid Trading in Wrong Direction • No bullish breakaway = No long trade. • Prevents the temptation to countertrade in strong downtrends. 2. Catch the Trend Reversal • When a bullish breakaway appears after an intraday low, it signals a potential reversal. • You will need adjust position sizing, watch out liquidity hunt, and place stop loss. • Best entries of your preferred choices: (this is your own trading edge) Retest Breakout Engulf MA cross over Whatever your favorite approach • Reversal signal is the strongest when price stays within/above the breakaway candle’s range. Weak if it breaks below. 3. Higher Timeframe Confirmation • 1m can give false reversals if new lows keep forming. • 5m often provides cleaner signals and avoids premature reversals. Failed Trade Example: This indicator will repaint if a new intraday session low is updated. So it is possible to have a failed trade. Here is an example from the same session in 1m chart. However, if you enter the trade later at another bullish breakaway candle signal. The loss can be mitigated by the profit. Therefore you should use smaller position size for your 1st trade. You should also considering using 5m chart to avoid 1m bull trap. In this example, if you use 5m chart, you can totally avoid this failed trade. If you enter the trade, you will see the intraday low is stop loss hunted. You can also see the 1st bullish breakaway candle is super weak. There are a lot of candles below the breakaway candle low, so it is very possible to fail. In the next chart, you can see the failed traded get stop loss hunted. However you can enter another trade with huge profit to win back the loss from the 1st trade if you follow the rule. Summary This indicator offers 3 main advantages: 1. Prevents wrong-direction trades. 2. Confirms trend entry after reversal signals. 3. Filters false positives using higher timeframes. How to sharp your edge: 1. ⏳Extreme patience⏳: Do not guess the bottom during a downtrend before a confirmed bullish breakaway candle. If you get caught, have the courage to cut loss. This is literally the most important usage of this indicator. Again, this is the most important rule of this indicator and actually the hardest rule to follow. 2. 🛎Better Entry🛎: After a confirmed bullish breakaway, you will always have a good opportunity to enter the trade using established trading technique. Your edge will come from the position size, draw down, stop loss placement, risk/reward ratio. 3. ✂Cut loss fast✂: If you enter a trade according to the rule, but you are still not making profit for a period of time, and the price is below the low of the breakaway candle. It is very likely you may hit stop loss soon (intraday session low). It won't be a bad idea to cut loss before stop loss hit. 4. 🔂Reentry with confidence after stop loss🔂: a stop loss will not invalidate the indicator. If you see a second chance to reenter, you should still follow the trade guide and rule. 5. 🕔Time frame matter🕔: try 1m, 3m, 5m, 10m, 15m time frame. Over time, you should know what time frame work best for you and the market. Higher time frame will reduce the noise of false positive trade, but it comes with a higher stop loss placement and less max profit, however it may come with a lower draw down. Time frame will matter depending on the range of the session. If the session range is small (<0.5%), lower time frame is good. If session range is big (>1%), 5m time frame is better. Remember to wait for candle to close, if you use higher time frame. Last Mention: The indicator is only used for bullish side trading.
Pine Script® indicator
by DeLeBlanc
1
Trend Gauge [BullByte]Trend Gauge Summary A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status. ________________________________________ ## 1. Purpose of the Indicator Why this was built Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades. Key Design Goals Signal Aggregation Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically. Market Regime Awareness Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts. Magnitude-Based Scaling Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength. Momentum Divergence Penalty Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries. Confidence Transparency Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable. Momentum Acceleration Visualization Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making. Compact Informational Dashboard Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment. ________________________________________ ## 2. Why a Trader Should Use It Main benefits and use cases 1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals. 2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts. 3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized. 4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal. 5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions. 6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator. 7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts. 8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic. 9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications. ________________________________________ ## 3. Component Rationale (“Why These Specific Indicators?”) Each sub-component was chosen because it adds complementary information about trend or momentum: 1. EMA Cross o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets. 2. VWMA Momentum o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum. 3. Volume Spikes o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars. 4. ATR Breakout o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal. 5. Higher-Timeframe EMA Alignment o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases. 6. ADX Regime Filter (Manual Calculation) o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired). 7. RSI Pivot-Divergence Penalty o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise. 8. Confidence Meter o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals. 9. Δ Score Momentum View o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator. 10. Dashboard • A table in the indicator pane’s top-right with 11 rows: 1. EMA Cross status 2. VWMA Momentum status 3. Volume Spike status 4. ATR Breakout status 5. Higher-Timeframe Trend status 6. Score (numeric) 7. Confidence % 8. Regime (“Trending” or “Ranging”) 9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”) 10. Gauge bar visually representing score magnitude • All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency. ________________________________________ ## 4. What Makes This Indicator Stand Out • Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals. • Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1. • Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time. • Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric. • Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early. • Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts. • Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias. • Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear. • Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips. • Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations. ________________________________________ ## 5. Recommended Timeframes & Tuning • Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However: o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence. o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart). • Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust: o ADX threshold (e.g., 20–30) based on instrument volatility. o VWMA and ATR scaling lengths to match average volatility cycles. o Pivot lookback for divergence: shorter for faster markets, longer for slower ones. • Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor. ________________________________________ ## 6. How Scoring and Logic Works (Step-by-Step) 1. Compute Sub-Scores o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0. o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to . o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0. o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low. o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment. 2. ADX Regime Weighting o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.” o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired). 3. Aggregate Raw Score o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero. 4. Divergence Penalty o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:  If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).  If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty. o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright. 5. Normalize and Smooth o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range. o Optional EMA smoothing of this normalized score to reduce noise. 6. Interpretation o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral. o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”). o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration. o Confidence: Percentage of sub-indicators aligned with the score’s sign. o Regime: Indicates whether trend-based signals are fully weighted or down-weighted. ________________________________________ ## 7. Oscillator Plot & Visualization: How to Read It Main Score Line & Area The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds. Δ Score Histogram If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar. Divergence Highlight Fill If enabled, when a pivot-based divergence is confirmed: • Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish. • Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish. These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag. Trend Direction Label When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur. Dashboard Panel In the indicator pane’s top-right, a table shows: 1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled” 2. VWMA Momentum status: similarly 3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled” 4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled” 5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled” 6. Score: numeric value (rounded) 7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low) 8. Regime: “Trending” or “Ranging” (colored accordingly) 9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”) 10. Gauge: a bar of blocks representing |score|/100 All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny). ________________________________________ ## 8. Example Usage (Illustrative Scenario) Example: BTCUSD 5 Min 1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small. 2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment. 3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits. 4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur. 5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section. 6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right. ________________________________________ ## 9. Inputs Explanation A concise yet clear summary of inputs helps users understand and adjust: 1. General Settings • Theme (Dark/Light): Choose background-appropriate colors for the indicator pane. • Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible. 2. Indicator Settings • Enable EMA Cross: Toggle on/off basic EMA alignment check. o Fast EMA Length and Slow EMA Length: Periods for EMAs. • Enable VWMA Momentum: Toggle VWMA momentum check. o VWMA Length: Period for VWMA. o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum. • Enable Volume Spike: Toggle volume spike detection. o Volume SMA Length: Period to compute average volume. o Volume Spike Multiplier: How many times above average volume qualifies as spike. o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish. • Enable ATR Breakout: Toggle ATR breakout detection. o ATR Length: Period for ATR. o Breakout Lookback: Bars to look back for recent highs/lows. o ATR Multiplier: Multiplier for breakout threshold. • Enable Higher Timeframe Trend: Toggle HTF EMA alignment. o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off. • Enable ADX Regime Filter: Toggles regime-based weighting. o ADX Length: Period for manual ADX calculation. o ADX Threshold: Value above which market considered trending. o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5). • Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude. o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum. • Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR. o ATR Scale Cap: Maximum multiple of ATR used for breakout strength. • Enable Price-RSI Divergence: Toggle divergence detection. o RSI Length for Divergence: Period for RSI. o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low. o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5). 3. Score Settings • Smooth Score: Toggle EMA smoothing of normalized score. • Score Smoothing Length: Period for smoothing EMA. • Weak Threshold: Absolute score value under which trend is considered weak or neutral. • Medium Threshold: Score above Weak but below Medium is moderate. • Strong Threshold: Score above this indicates strong trend. 4. Visualization Settings • Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true. • Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true. Each input has a tooltip in the code. ________________________________________ ## 10. Limitations, Repaint Notes, and Disclaimers 10.1. Repaint & Lag Considerations • Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result: o Divergence labels or fills appear with a delay equal to the pivot lookback. o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag. o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed. • Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars. • No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off. 10.2. Market & Noise Considerations • In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters. • On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features. • On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals. 10.3. Not a Standalone Trading System • This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management. • Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context). • No guarantees: past behavior does not guarantee future performance. 10.4. Disclaimers • Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice. • Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management. • No Guarantees: The author is not responsible for trading outcomes based on this indicator. • License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms. ________________________________________ ## 11. Alerts • The indicator defines three alert conditions: 1. Bullish Trend: when the aggregated score crosses above the Weak threshold. 2. Bearish Trend: when the score crosses below the negative Weak threshold. 3. Neutral Trend: when the score returns within ±Weak after being outside. Good luck – BullByte
Pine Script® indicator
by BullByte
3
Timeframe Resistance Evaluation And Detection - CoffeeKillerTREAD - Timeframe Resistance Evaluation And Detection Guide 🔔 Important Technical Limitation 🔔 **This indicator does NOT fetch true higher timeframe data.** Instead, it simulates higher timeframe levels by aggregating data from your current chart timeframe. This means: - Results will vary depending on what chart timeframe you're viewing - Levels may not match actual higher timeframe candle highs/lows - You might miss important wicks or gaps that occurred between chart timeframe bars - **Always verify levels against actual higher timeframe charts before trading** Welcome traders! This guide will walk you through the TREAD (Timeframe Resistance Evaluation And Detection) indicator, a multi-timeframe analysis tool developed by CoffeeKiller that identifies support and resistance confluence across different time periods.(I am 50+ year old trader and always thought I was bad a teaching and explaining so you get a AI guide. I personally use this on the 5 minute chart with the default settings, but to each there own and if you can improve the trend detection methods please DM me. I would like to see the code. Thanks) Core Components 1. Dual Timeframe Level Tracking - Short Timeframe Levels: Tracks opening price extremes within shorter periods - Long Timeframe Levels: Tracks actual high/low extremes within longer periods - Dynamic Reset Mechanism: Levels reset at the start of each new timeframe period - Momentum Detection: Identifies when levels change mid-period, indicating active price movement 2. Visual Zone System - High Zones: Areas between long timeframe highs and short timeframe highs - Low Zones: Areas between long timeframe lows and short timeframe lows - Fill Coloring: Dynamic colors based on whether levels are static or actively changing - Momentum Highlighting: Special colors when levels break during active periods 3. Customizable Display Options - Multiple Plot Styles: Line, circles, or cross markers - Flexible Timeframe Selection: Wide range of short and long timeframe combinations - Color Customization: Separate colors for each level type and momentum state - Toggle Controls: Show/hide different elements based on trading preference Main Features Timeframe Settings - Short Timeframe Options: 15m, 30m, 1h, 2h, 4h - Long Timeframe Options: 1h, 2h, 4h, 8h, 12h, 1D, 1W - Recommended Combinations: - Scalping: 15m/1h or 30m/2h - Day Trading: 30m/4h or 1h/4h - Swing Trading: 4h/1D or 1D/1W Display Configuration - Level Visibility: Toggle short/long timeframe levels independently - Fill Zone Control: Enable/disable colored zones between levels - Momentum Fills: Special highlighting for actively changing levels - Line Customization: Width, style, and color options for all elements Color System - Short TF High: Default red for resistance levels - Short TF Low: Default green for support levels - Long TF High: Transparent red for broader resistance context - Long TF Low: Transparent green for broader support context - Momentum Colors: Brighter colors when levels are actively changing Technical Implementation Details How Level Tracking Works The indicator uses a custom tracking function that: 1. Detects Timeframe Periods: Uses `time()` function to identify when new periods begin 2. Tracks Extremes: Monitors highest/lowest values within each period 3. Resets on New Periods: Clears tracking when timeframe periods change 4. Updates Mid-Period: Continues tracking if new extremes are reached The Timeframe Limitation Explained `pinescript // What the indicator does: short_tf_start = ta.change(time(short_timeframe)) != 0 // Detects 30m period start = track_highest(open, short_tf_start) // BUT uses chart TF opens! // What true multi-timeframe would be: // short_tf_high = request.security(syminfo.tickerid, short_timeframe, high) ` This means: - On a 5m chart with 30m/4h settings: Tracks 5m bar opens during 30m and 4h windows - On a 1m chart with same settings: Tracks 1m bar opens during 30m and 4h windows - Results will be different between chart timeframes - May miss important price action that occurred between your chart's bars Visual Elements 1. Level Lines - Short TF High: Upper resistance line from shorter timeframe analysis - Short TF Low: Lower support line from shorter timeframe analysis - Long TF High: Broader resistance context from longer timeframe - Long TF Low: Broader support context from longer timeframe 2. Zone Fills - High Zone: Area between long TF high and short TF high (potential resistance cluster) - Low Zone: Area between long TF low and short TF low (potential support cluster) - Regular Fill: Standard transparency when levels are static - Momentum Fill: Enhanced visibility when levels are actively changing 3. Dynamic Coloring - Static Periods: Normal colors when levels haven't changed recently - Active Periods: Momentum colors when levels are being tested/broken - Confluence Zones: Different intensities based on timeframe alignment Trading Applications 1. Support/Resistance Trading - Entry Points: Trade bounces from zone boundaries - Confluence Areas: Focus on areas where short and long TF levels cluster - Zone Breaks: Enter on confirmed breaks through entire zones - Multiple Timeframe Confirmation: Stronger signals when both timeframes align 2. Range Trading - Zone Boundaries: Use fill zones as range extremes - Mean Reversion: Trade back toward opposite zone when price reaches extremes - Breakout Preparation: Watch for momentum color changes indicating potential breakouts - Risk Management: Place stops outside the opposite zone 3. Trend Following - Direction Bias: Trade in direction of zone breaks - Pullback Entries: Enter on pullbacks to broken zones (now support/resistance) - Momentum Confirmation: Use momentum coloring to confirm trend strength - Multiple Timeframe Alignment: Strongest trends when both timeframes agree 4. Scalping Applications - Quick Bounces: Trade rapid moves between zone boundaries - Momentum Signals: Enter when momentum colors appear - Short-Term Targets: Use opposite zone as profit target - Tight Stops: Place stops just outside current zone Optimization Guide 1. Timeframe Selection For Different Trading Styles: - Scalping: 15m/1h - Quick levels, frequent updates - Day Trading: 30m/4h - Balanced view, good for intraday moves - Swing Trading: 4h/1D - Longer-term perspective, fewer false signals - Position Trading: 1D/1W - Major structural levels 2. Chart Timeframe Considerations **Important**: Your chart timeframe affects results - Lower Chart TF: More granular level tracking, but may be noisy - Higher Chart TF: Smoother levels, but may miss important price action - Recommended: Use chart timeframe 2-4x smaller than short indicator timeframe 3. Display Settings - Busy Charts: Disable fills, show only key levels - Clean Analysis: Enable all fills and momentum coloring - Multi-Monitor Setup: Use different color schemes for easy identification - Mobile Trading: Increase line width for visibility Best Practices 1. Level Verification - Always Cross-Check: Verify levels against actual higher timeframe charts - Multiple Timeframes: Check 2-3 different chart timeframes for consistency - Price Action Confirmation: Wait for candlestick confirmation at levels - Volume Analysis: Combine with volume for stronger confirmation 2. Risk Management - Stop Placement: Use zones rather than exact prices for stops - Position Sizing: Reduce size when zones are narrow (higher risk) - Multiple Targets: Scale out at different zone boundaries - False Break Protection: Allow for minor zone penetrations 3. Signal Quality Assessment - Momentum Colors: Higher probability when momentum coloring appears - Zone Width: Wider zones often provide stronger support/resistance - Historical Testing: Backtest on your preferred timeframe combinations - Market Conditions: Adjust sensitivity based on volatility Advanced Features 1. Momentum Detection System The indicator tracks when levels change mid-period: `pinescript short_high_changed = short_high != short_high and not short_tf_start ` This identifies: - Active level testing - Potential breakout situations - Increased market volatility - Trend acceleration points 2. Dynamic Color System Complex conditional logic determines fill colors: - Static Zones: Regular transparency for stable levels - Active Zones: Enhanced colors for changing levels - Mixed States: Different combinations based on user preferences - Custom Overrides: User can prioritize certain color schemes 3. Zone Interaction Analysis - Convergence: When short and long TF levels approach each other - Divergence: When timeframes show conflicting levels - Alignment: When both timeframes agree on direction - Transition: When one timeframe changes while other remains static Common Issues and Solutions 1. Inconsistent Levels Problem: Levels look different on various chart timeframes Solution: Always verify against actual higher timeframe charts 2. Missing Price Action Problem: Important wicks or gaps not reflected in levels Solution: Use chart timeframe closer to indicator's short timeframe setting 3. Too Many Signals Problem: Excessive level changes and momentum alerts Solution: Increase timeframe settings or reduce chart timeframe granularity 4. Lagging Signals Problem: Levels seem to update too slowly Solution: Decrease chart timeframe or use more sensitive timeframe combinations Recommended Setups Conservative Approach - Timeframes: 4h/1D - Chart: 1h - Display: Show fills only, no momentum coloring - Use: Swing trading, position management Aggressive Approach - Timeframes: 15m/1h - Chart: 5m - Display: All features enabled, momentum highlighting - Use: Scalping, quick reversal trades Balanced Approach - Timeframes: 30m/4h - Chart: 15m - Display: Selective fills, momentum on key levels - Use: Day trading, multi-session analysis Final Notes **Remember**: This indicator provides a synthetic view of multi-timeframe levels, not true higher timeframe data. While useful for identifying potential confluence areas, always verify important levels by checking actual higher timeframe charts. **Best Results When**: - Combined with actual multi-timeframe analysis - Used for confluence confirmation rather than primary signals - Applied with proper risk management - Verified against price action and volume **DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. The timeframe limitation means results may not reflect true higher timeframe levels. Always conduct your own analysis and verify levels independently before making trading decisions. Trading involves significant risk of loss.
Pine Script® indicator
by CoffeeKiller
DrawZigZag🟩  OVERVIEW This library draws zigzag lines for existing pivots. It is designed to be simple to use. If your script creates pivots and you want to join them up while handling edge cases, this library does that quickly and efficiently. If you want your pivots created for you, choose one of the many other zigzag libraries that do that. 🟩  HOW TO USE Pine Script libraries contain reusable code for importing into indicators. You do not need to copy any code out of here. Just import the library and call the function you want. For example, for version 1 of this library, import it like this: import SimpleCryptoLife/DrawZigZag/1 See the EXAMPLE USAGE sections within the library for examples of calling the functions. For more information on libraries and incorporating them into your scripts, see the Libraries section of the Pine Script User Manual. 🟩  WHAT IT DOES I looked at every zigzag library on TradingView, after finishing this one. They all seemed to fall into two groups in terms of functionality:  • Create the pivots themselves, using a combination of Williams-style pivots and sometimes price distance.  • Require an array of pivot information, often in a format that uses user-defined types. My library takes a completely different approach. Firstly, it only does the drawing. It doesn't calculate the pivots for you. This isn't laziness. There are so many ways to define pivots and that should be up to you. If you've followed my work on market structure you know what I think of Williams pivots. Secondly, when you pass information about your pivots to the library function, you only need the minimum of pivot information -- whether it's a High or Low pivot, the price, and the bar index. Pass these as normal variables -- bools, ints, and floats -- on the fly as your pivots confirm. It is completely agnostic as to how you derive your pivots. If they are confirmed an arbitrary number of bars after they happen, that's fine. So why even bother using it if all it does it draw some lines? Turns out there is quite some logic needed in order to connect highs and lows in the right way, and to handle edge cases. This is the kind of thing one can happily outsource. 🟩  THE RULES  • Zigs and zags must alternate between Highs and Lows. We never connect a High to a High or a Low to a Low.  • If a candle has both a High and Low pivot confirmed on it, the first line is drawn to the end of the candle that is the opposite to the previous pivot. Then the next line goes vertically through the candle to the other end, and then after that continues normally.  • If we draw a line up from a Low to a High pivot, and another High pivot comes in higher, we *extend* the line up, and the same for lines down. Yes this is a form of repainting. It is in my opinion the only way to end up with a correct structure.  • We ignore lower highs on the way up and higher lows on the way down. 🟩  WHAT'S COOL ABOUT THIS LIBRARY  • It's simple and lightweight: no exported user-defined types, no helper methods, no matrices.  • It's really fast. In my profiling it runs at about ~50ms, and changing the options (e.g., trimming the array) doesn't make very much difference.  • You only need to call one function, which does all the calculations and draws all lines.  • There are two variations of this function though -- one simple function that just draws lines, and one slightly more advanced method that modifies an array containing the lines. If you don't know which one you want, use the simpler one. 🟩  GEEK STUFF  • There are no dependencies on other libraries.  • I tried to make the logic as clear as I could and comment it appropriately.  • In the `f_drawZigZags` function, the line variable is declared using the `var` keyword *inside* the function, for simplicity. For this reason, it persists between function calls *only* if the function is called from the global scope or a local if block. In general, if a function is called from inside a loop , or multiple times from different contexts, persistent variables inside that function are re-initialised on each call. In this case, this re-initialisation would mean that the function loses track of the previous line, resulting in incorrect drawings. This is why you cannot call the `f_drawZigZags` function from a loop (not that there's any reason to). The `m_drawZigZagsArray` does not use any internal `var` variables.  • The function itself takes a Boolean parameter `_showZigZag`, which turns the drawings on and off, so there is no need to call the function conditionally. In the examples, we do call the functions from an if block, purely as an illustration of how to increase performance by restricting the amount of code that needs to be run. 🟩  BRING ON THE FUNCTIONS f_drawZigZags(_showZigZag, _isHighPivot, _isLowPivot, _highPivotPrice, _lowPivotPrice, _pivotIndex, _zigzagWidth, _lineStyle, _upZigColour, _downZagColour)   This function creates or extends the latest zigzag line. Takes real-time information about pivots and draws lines. It does not calculate the pivots. It must be called once per script and cannot be called from a loop.   Parameters:      _showZigZag (bool) : Whether to show the zigzag lines.      _isHighPivot (bool) : Whether the current bar confirms a high pivot. Note that pivots are confirmed after the bar in which they occur.      _isLowPivot (bool) : Whether the current bar confirms a low pivot.      _highPivotPrice (float) : The price of the high pivot that was confirmed this bar. It is NOT the high price of the current bar.      _lowPivotPrice (float) : The price of the low pivot that was confirmed this bar. It is NOT the low price of the current bar.      _pivotIndex (int) : The bar index of the pivot that was confirmed this bar. This is not an offset. It's the `bar_index` value of the pivot.      _zigzagWidth (int) : The width of the zigzag lines.      _lineStyle (string) : The style of the zigzag lines.      _upZigColour (color) : The colour of the up zigzag lines.      _downZagColour (color) : The colour of the down zigzag lines.   Returns: The function has no explicit returns. As a side effect, it draws or updates zigzag lines. method m_drawZigZagsArray(_a_zigZagLines, _showZigZag, _isHighPivot, _isLowPivot, _highPivotPrice, _lowPivotPrice, _pivotIndex, _zigzagWidth, _lineStyle, _upZigColour, _downZagColour, _trimArray)   Namespace types: array   Parameters:      _a_zigZagLines (array)      _showZigZag (bool) : Whether to show the zigzag lines.      _isHighPivot (bool) : Whether the current bar confirms a high pivot. Note that pivots are usually confirmed after the bar in which they occur.      _isLowPivot (bool) : Whether the current bar confirms a low pivot.      _highPivotPrice (float) : The price of the high pivot that was confirmed this bar. It is NOT the high price of the current bar.      _lowPivotPrice (float) : The price of the low pivot that was confirmed this bar. It is NOT the low price of the current bar.      _pivotIndex (int) : The bar index of the pivot that was confirmed this bar. This is not an offset. It's the `bar_index` value of the pivot.      _zigzagWidth (int) : The width of the zigzag lines.      _lineStyle (string) : The style of the zigzag lines.      _upZigColour (color) : The colour of the up zigzag lines.      _downZagColour (color) : The colour of the down zigzag lines.      _trimArray (bool) : If true, the array of lines is kept to a maximum size of two lines (the line elements are not deleted). If false (the default), the array is kept to a maximum of 500 lines (the maximum number of line objects a single Pine script can display).   Returns: This function has no explicit returns but it modifies a global array of zigzag lines.
Pine Script® library
by SimpleCryptoLife
5
UTSConvenienceToolsLibrary "UTSConvenienceTools" Convenience tool library containing helper functions for drawing and charting. isDarkColor(color)   Determines on base of the luminance of the given color if the color can be considered a 'dark' color. Usefull for determining the readable font color for arbitrary colored backgrounds. Credits out to:   Parameters:      color (color) : (color): The actual color value.   Returns: (bool): A boolean value. smallLabelLowerRight(txt, yPos, bgColor)   Displays the specified `txt` in a small label at the `yPos` of the current bar. The label points to the lower right.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. smallLabelUpperRight(txt, yPos, bgColor)   Displays the specified `txt` in a small label at the `yPos` of the current bar. The label points to the upper right.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned below the candle pass 'low'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. smallLabelCenter(txt, yPos, bgColor)   Displays the specified `txt` in a small label at the `yPos` of the current bar. The label points to the center.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'. To have it positioned below the candle pass 'low'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. smallLabelDown(txt, yPos, bgColor)   Displays the specified `txt` in a small label at the `yPos` of the current bar. The label points down.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. smallLabelUp(txt, yPos, bgColor)   Displays the specified `txt` in a small label at the `yPos` of the current bar. The label points down.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned below the candle pass 'low'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. normalLabelLowerRight(txt, yPos, bgColor)   Displays the specified `txt` in a normal label at the `yPos` of the current bar. The label points to the lower right.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. normalLabelUpperRight(txt, yPos, bgColor)   Displays the specified `txt` in a normal label at the `yPos` of the current bar. The label points to the upper right.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned below the candle pass 'low'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. normalLabelCenter(txt, yPos, bgColor)   Displays the specified `txt` in a normal label at the `yPos` of the current bar. The label points to the center.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'. To have it positioned below the candle pass 'low'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. normalLabelDown(txt, yPos, bgColor)   Displays the specified `txt` in a normal label at the `yPos` of the current bar. The label points down.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. normalLabelUp(txt, yPos, bgColor)   Displays the specified `txt` in a normal label at the `yPos` of the current bar. The label points down.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned below the candle pass 'low'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. largeLabelLowerRight(txt, yPos, bgColor)   Displays the specified `txt` in a large label at the `yPos` of the current bar. The label points to the lower right.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. largeLabelUpperRight(txt, yPos, bgColor)   Displays the specified `txt` in a large label at the `yPos` of the current bar. The label points to the upper right.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned below the candle pass 'low'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. largeLabelCenter(txt, yPos, bgColor)   Displays the specified `txt` in a large label at the `yPos` of the current bar. The label points to the center.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'. To have it positioned below the candle pass 'low'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. largeLabelDown(txt, yPos, bgColor)   Displays the specified `txt` in a large label at the `yPos` of the current bar. The label points down.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. largeLabelUp(txt, yPos, bgColor)   Displays the specified `txt` in a large label at the `yPos` of the current bar. The label points down.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned below the candle pass 'low'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. autoLabelLowerRight(txt, yPos, bgColor)   Displays the specified `txt` in a auto label at the `yPos` of the current bar. The label points to the lower right.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. autoLabelUpperRight(txt, yPos, bgColor)   Displays the specified `txt` in a auto label at the `yPos` of the current bar. The label points to the upper right.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned below the candle pass 'low'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. autoLabelCenter(txt, yPos, bgColor)   Displays the specified `txt` in a auto label at the `yPos` of the current bar. The label points to the center.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'. To have it positioned below the candle pass 'low'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. autoLabelDown(txt, yPos, bgColor)   Displays the specified `txt` in a auto label at the `yPos` of the current bar. The label points down.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value. autoLabelUp(txt, yPos, bgColor)   Displays the specified `txt` in a auto label at the `yPos` of the current bar. The label points down.   Parameters:      txt (string)      yPos (float) : (float): The y-position value. To have it positioned below the candle pass 'low'.      bgColor (color) : (color): The background color value.   Returns: (bool): A boolean value.
Pine Script® library
by UberTradingSystems
Fractal Breakout Trend Following System█  OVERVIEW The Fractal Breakout Trend Following System is a custom technical analysis tool designed to pinpoint significant fractal pivot points and breakout levels. By analyzing price action through configurable pivot parameters, this indicator dynamically identifies key support and resistance zones. It not only marks crucial highs and lows on the chart but also signals potential trend reversals through real-time breakout detections, helping traders capture shifts in market momentum. █  KEY FEATURES Fractal Pivot Detection Utilizes user-defined left and right pivot lengths to detect local highs (pivot highs) and lows (pivot lows). This fractal-based approach ensures that only meaningful price moves are considered, effectively filtering out minor market noise. Dynamic Line Visualization Upon confirmation of a pivot, the system draws a dynamic line representing resistance (from pivot highs) or support (from pivot lows). These lines extend across the chart until a breakout occurs, offering a continuous visual guide to key levels. Trend Breakout Signals Monitors for price crossovers relative to the drawn pivot lines. A crossover above a resistance line signals a bullish breakout, while a crossunder below a support line indicates a bearish move, thus updating the prevailing trend. Pivot Labelling Assigns labels such as "HH", "LH", "LL", or "HL" to detected pivots based on their relative values. It uses the following designations: HH (Higher High) : Indicates that the current pivot high is greater than the previous pivot high, suggesting continued upward momentum. LH (Lower High) : Signals that the current pivot high is lower than the previous pivot high, which may hint at a potential reversal within an uptrend. LL (Lower Low) : Shows that the current pivot low is lower than the previous pivot low, confirming sustained downward pressure. HL (Higher Low) : Reveals that the current pivot low is higher than the previous pivot low, potentially indicating the beginning of an upward reversal in a downtrend. These labels provide traders with immediate insight into the market structure and recent price behavior. Customizable Visual Settings Offers various customization options:  • Adjust pivot sensitivity via left/right pivot inputs.  • Toggle pivot labels on or off.  • Enable background color changes to reflect bullish or bearish trends.  • Choose preferred colors for bullish (e.g., green) and bearish (e.g., red) signals. █  UNDERLYING METHODOLOGY & CALCULATIONS Fractal Pivot Calculation The script employs a sliding window technique using configurable left and right parameters to identify local highs and lows. Detected pivot values are sanitized to ensure consistency in subsequent calculations. Dynamic Line Plotting When a new pivot is detected, a corresponding line is drawn from the pivot point. This line extends until the price breaks the level, at which point it is reset. This method provides a continuous reference for support and resistance. Trend Breakout Identification By continuously monitoring price interactions with the pivot lines, the indicator identifies breakouts. A price crossover above a resistance line suggests a bullish breakout, while a crossunder below a support line indicates a bearish shift. The current trend is updated accordingly. Pivot Label Assignment The system compares the current pivot with the previous one to determine if the move represents a higher high, lower high, higher low, or lower low. This classification helps traders understand the underlying market momentum. █  HOW TO USE THE INDICATOR 1 — Apply the Indicator  • Add the Fractal Breakout Trend Following System to your chart to begin visualizing dynamic pivot points and breakout signals. 2 — Adjust Settings for Your Market  • Pivot Detection – Configure the left and right pivot lengths for both highs and lows to suit your desired sensitivity:   - Use shorter lengths for more responsive signals in fast-moving markets.   - Use longer lengths to filter out minor fluctuations in volatile conditions.  • Visual Customization – Toggle the display of pivot labels and background color changes. Select your preferred colors for bullish and bearish trends. 3 — Interpret the Signals  • Support & Resistance Lines – Observe the dynamically drawn lines that represent key pivot levels.  • Pivot Labels – Look for labels like "HH", "LH", "LL", and "HL" to quickly assess market structure and trend behavior.  • Trend Signals – Watch for price crossovers and corresponding background color shifts to gauge bullish or bearish breakouts. 4 — Integrate with Your Trading Strategy  • Use the identified pivot points as potential support and resistance levels.  • Combine breakout signals with other technical indicators for comprehensive trade confirmation.  • Adjust the sensitivity settings to tailor the indicator to various instruments and market conditions. █  CONCLUSION The Fractal Breakout Trend Following System offers a robust framework for identifying critical fractal pivot points and potential breakout opportunities. With its dynamic line plotting, clear pivot labeling, and customizable visual settings, this indicator equips traders with actionable insights to enhance decision-making and optimize entry and exit strategies.
Pine Script® indicator
by Botnet101
Market Structure HH, HL, LH and LLMarket Structure Indicator (HH, HL, LH, LL) – Explanation and Usage Overview: This indicator is designed to detect and visualize market structure shifts by identifying Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL). It plots a ZigZag structure to mark trend changes, helping traders analyze price swings and market direction. Indicator Logic: The indicator operates based on ZigZag swing points to define trend shifts and structure changes. Identifying Market Swings: It finds local highs and lows using the ZigZag Length (zigzag_len), which defines how many bars back to check for a new swing high/low. If the current high is the highest over zigzag_len periods, it marks it as a swing high. If the current low is the lowest over zigzag_len periods, it marks it as a swing low. Determining Market Structure: Uptrend: Higher Highs (HH) & Higher Lows (HL) Downtrend: Lower Lows (LL) & Lower Highs (LH) The script continuously tracks the last two highs (h0, h1) and last two lows (l0, l1) to classify the current market structure. Visual Elements: ZigZag Line (Optional): Connects major swing highs and lows for trend visualization. Labels (HH, HL, LH, LL): HH (Higher High) – Price is making new highs → Uptrend Continuation. HL (Higher Low) – Price forms a higher bottom → Uptrend Confirmation. LL (Lower Low) – Price is making new lows → Downtrend Continuation. LH (Lower High) – Price forms a lower top → Downtrend Confirmation. Breakout Confirmation with Fibonacci Factor (Optional) The indicator includes an option to confirm breakouts using the fib_factor, which ensures price moves beyond a certain retracement level. How to Use This Indicator in Trading: 1. Identifying Trends & Trend Reversals Uptrend: Look for a sequence of HH and HL. Downtrend: Look for a sequence of LL and LH. Trend Reversal: If price transitions from HH-HL to LH-LL, it signals a shift from an uptrend to a downtrend (and vice versa). 2. Confirming Entry & Exit Points Buy Entry (Long Position) Enter after a Higher Low (HL) is confirmed in an uptrend. Combine with support zones or moving averages for confirmation. Sell Entry (Short Position) Enter after a Lower High (LH) is confirmed in a downtrend. Combine with resistance zones or moving averages for confirmation. Exit Strategy Exit long trades when price fails to make a HH and forms an LH instead. Exit short trades when price fails to make a LL and forms an HL instead. 3. Spotting Breakouts & Order Blocks The Fib Factor setting allows traders to filter false breakouts by confirming price movement beyond a retracement threshold. Potential Order Blocks can be identified by looking at the last major swing point before a breakout. Benefits of This Indicator for Traders ✅ Trend Identification: Helps traders quickly determine if the market is in an uptrend or downtrend. ✅ Clear Market Structure Labels: Easily visualizes Higher Highs, Higher Lows, Lower Highs, and Lower Lows. ✅ Avoids Noise: The ZigZag algorithm removes small fluctuations and focuses on significant market movements. ✅ Assists with Entry & Exit Decisions: Provides objective signals for trend continuation or reversals. ✅ Works in All Markets: Useful for stocks, forex, crypto, and futures trading. Would you like me to add additional features like Order Blocks, Breakout Confirmation, or Alerts to improve this indicator? 🚀
Pine Script® indicator
by sufiyan1611
12
One Trading Setup for Life ICT [TradingFinder] Sweep Session FVG🔵 Introduction ICT One Trading Setup for Life is a trading strategy based on liquidity and market structure shifts, utilizing the PM Session Sweep to determine price direction. In this strategy, the market first forms a price range during the PM Session (from 13:30 to 16:00 EST), which includes the highest high (PM Session High) and lowest low (PM Session Low). In the next session, the price first touches one of these levels to trigger a Liquidity Hunt before confirming its trend by breaking the Change in State of Delivery (CISD) Level. After this confirmation, the price retraces toward a Fair Value Gap (FVG) or Order Block (OB), which serve as the best entry points in alignment with liquidity. In financial markets, liquidity is the primary driver of price movement, and major market participants such as institutional investors and banks are constantly seeking liquidity at key levels. This process, known as Liquidity Hunt or Liquidity Sweep, occurs when the price reaches an area with a high concentration of orders, absorbs liquidity, and then reverses direction. In this setup, the PM Session range acts as a trading framework, where its highs and lows function as key liquidity zones that influence the next session’s price movement. After the New York market opens at 9:30 EST, the price initially breaks one of these levels to capture liquidity. However, for a trend shift to be confirmed, the CISD Level must be broken. Once the CISD Level is breached, the price retraces toward an FVG or OB, which serve as optimal trade entry points. Bullish Setup : Bearish Setup : 🔵 How to Use In this strategy, the PM Session range is first identified, which includes the highest high (PM Session High) and lowest low (PM Session Low) between 13:30 and 16:00 EST. In the following session, the price touches one of these levels for a Liquidity Hunt, followed by a break of the Change in State of Delivery (CISD) Level. The price then retraces toward a Fair Value Gap (FVG) or Order Block (OB), creating a trading opportunity. This process can occur in two scenarios : bearish and bullish setups. 🟣 Bullish Setup In a bullish scenario, the PM Session High and PM Session Low are identified. In the following session, the price first breaks the PM Session Low, absorbing liquidity. This process results in a Fake Breakout to the downside, misleading retail traders into taking short positions. After the Liquidity Hunt, the CISD Level is broken, confirming a trend reversal. The price then retraces toward an FVG or OB, offering an optimal long entry opportunity. The initial take-profit target is the PM Session High, but if higher timeframe liquidity levels exist, extended targets can be set. The stop-loss should be placed below the Fake Breakout low or the first candle of the FVG. 🟣 Bearish Setup In a bearish scenario, the market first defines its PM Session High and PM Session Low. In the next session, the price initially breaks the PM Session High, triggering a Liquidity Hunt. This movement often causes a Fake Breakout, misleading retail traders into taking incorrect positions. After absorbing liquidity, the CISD Level breaks, indicating a shift in market structure. The price then retraces toward an FVG or OB, offering the best short entry opportunity. The initial take-profit target is the PM Session Low, but if additional liquidity exists on higher timeframes, lower targets can be considered. The stop-loss should be placed above the Fake Breakout high or the first candle of the FVG. 🔵 Setting CISD Bar Back Check : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart. Order Block Validity : The number of candles that determine the validity of an Order Block. FVG Validity : The duration for which a Fair Value Gap remains valid. CISD Level Validity : The duration for which a CISD Level remains valid after being broken. New York PM Session : Defines the PM Session range from 13:30 to 16:00 EST. New York AM Session : Defines the AM Session range from 9:30 to 16:00 EST. Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses. Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price. FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps. Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal. Demand Order Block : Enables or disables bullish Order Block. Supply Order Block : Enables or disables bearish Order Blocks. Demand FVG : Enables or disables bullish FVG. Supply FVG : Enables or disables bearish FVGs. Show All CISD : Enables or disables the display of all CISD Levels. Show High CISD : Enables or disables high CISD levels. Show Low CISD : Enables or disables low CISD levels. 🔵 Conclusion The ICT One Trading Setup for Life is a liquidity-based strategy that leverages market structure shifts and precise entry points to identify high-probability trade opportunities. By focusing on PM Session High and PM Session Low, this setup first captures liquidity at these levels and then confirms trend shifts with a break of the Change in State of Delivery (CISD) Level. Entering a trade after a retracement to an FVG or OB allows traders to position themselves at optimal liquidity levels, ensuring high reward-to-risk trades. When used in conjunction with higher timeframe bias, order flow, and liquidity analysis, this strategy can become one of the most effective trading methods within the ICT Concept framework. Successful execution of this setup requires risk management, patience, and a deep understanding of liquidity dynamics. Traders can enhance their confidence in this strategy by conducting extensive backtesting and analyzing past market data to optimize their approach for different assets.
Pine Script® indicator
by TFlab
3
UVR Crypto TrendINDICATOR OVERVIEW: UVR CRYPTO TREND The UVR Crypto Trend indicator is a custom-built tool designed specifically for cryptocurrency markets, utilizing advanced volatility, momentum, and trend-following techniques. It aims to identify trend reversals and provide buy and sell signals by analyzing multiple factors, such as price volatility(UVR), RSI (Relative Strength Index), CMF (Chaikin Money Flow), and EMA (Exponential Moving Average). The indicator is optimized for CRYPTO MARKETS only. KEY FEATURES AND HOW IT WORKS Volatility Analysis with UVR The UVR (Ultimate Volatility Rate) is a proprietary calculation that measures market volatility by comparing significant price extremes and smoothing the data over time. Purpose: UVR aims to reduce noise in low-volatility environments and highlight significant movements during higher-volatility periods. While it strives to improve filtering in low-volatility conditions, it does not guarantee perfect performance, making it a balanced and adaptable tool for dynamic markets like cryptocurrency. HOW UVR (ULTIMATE VOLATILITY RATE) IS CALCULATED UVR is calculated using a method that ensures precise measurement of market volatility by comparing price extremes across consecutive candles: Volatility Components: Two values are calculated to represent potential price fluctuations: The absolute difference between the current candle's high and the previous candle's low: Volatility Component 1=∣High−Low ∣ The absolute difference between the previous candle's high and the current candle's low: Volatility Component 2=∣High −Low∣ Volatility Ratio: The larger of the two components is selected as the Volatility Ratio, ensuring UVR captures the most significant movement: Volatility Ratio=max(Volatility Component 1,Volatility Component 2) Smoothing with SMMA: To stabilize the volatility calculation, the Volatility Ratio is smoothed using a Smoothed Moving Average (SMMA) over a user-defined period (e.g., 14 candles): UVR=(UVR(Previous)×(Period−1)+Volatility Ratio)/Period ​ This calculation ensures UVR adapts dynamically to market conditions, focusing on significant price movements while filtering out noise. RSI FOR MOMENTUM DETECTION RSI (Relative Strength Index) identifies overbought and oversold conditions. Trend Confirmation at the 50 Level RSI values crossing above 50 signal the potential start of an upward trend. RSI values crossing below 50 indicate the potential start of a downward trend. Key Reversals at Extreme Levels RSI detects trend reversals at overbought (>70) and oversold (<30) levels. For example: Overbought Trend Reversal: RSI >70 followed by bearish price action signals a potential downtrend. Oversold Trend Reversal: RSI <30 with bullish confirmation signals a potential uptrend. Rare Extreme RSI Readings Extreme levels, such as RSI <12 (oversold) or RSI >88 (overbought), are used to identify rare yet powerful reversals. ---HOW IT DIFFERS FROM OTHER INDICATORS--- Using UVR High and Low Values The Ultimate Volatility Rate (UVR) focuses on analyzing the high and low price ranges of the market to measure volatility. Unlike traditional trend indicators that rely primarily on momentum or moving average crossovers, UVR leverages price extremes to better identify trend reversals. This approach ensures fewer false signals during low-volatility phases and more accurate trend detection during high-volatility conditions. UVR as the Core Component The indicator is fundamentally built around UVR as the primary filter, while supporting tools like RSI (momentum detection), CMF (volume confirmation), and EMA (trend validation) complement its functionality. By integrating these additional components, the indicator provides a multidimensional analysis rather than relying solely on a single approach. Dynamic Adaptation to Volatility UVR dynamically adjusts to market conditions, striving to improve filtering in low-volatility phases. While not flawless, this approach minimizes false signals and adapts more effectively to varying levels of market activity. Trend Clouds for Visual Guidance UVR-based dynamic clouds visually mark high and low price areas, highlighting potential consolidation or retracement zones. These clouds serve as guides for setting stop-loss or take-profit levels, offering clear risk management strategies. BUY AND SELL SIGNAL LOGIC BUY CONDITIONS Momentum-Based Buy-Entry RSI >50, CMF >0, and the close price is above EMA50. The price difference between open and close exceeds a threshold based on UVR. Oversold Reversal RSI <30 and CMF >0 with a strong bullish candle (close > open and UVR-based sensitivity filter). Breakout Confirmation The price breaks above a previously identified resistance, with conditions for RSI and CMF supporting the breakout. Reversal from Oversold RSI Extreme RSI <12 on the previous candle with a strong rebound on the current candle with UVR confirmation filter. SELL CONDITIONS Momentum-Based Sell-Entry RSI <50, CMF <0, and the close price is below EMA50. The price difference between open and close exceeds the UVR threshold. Overbought Reversal RSI >70 with bearish price action (open > close and UVR-based sensitivity filter). Breakdown Confirmation The price breaks below a previously identified support, with RSI and CMF supporting the breakdown. Reversal from Overbought RSI Extreme RSI >88 on the previous candle with a bearish confirmation on the current candle with UVR confirmation filter. BUY AND SELL SIGNALS VISUALIZATION The UVR Crypto Trend Indicator visually represents buy and sell conditions using dynamic plots, making it easier for traders to interpret and act on the signals. Below is an explanation of the visual representation: Buy Signals and Visualization Signal Trigger: A buy signal is generated when one of the defined Buy Conditions is met (e.g., RSI >50, CMF >0, price above EMA50). Visual Representation: A blue upward arrow appears at the candle where the buy condition is triggered. A blue cloud forms above the price candles, representing the strength of the bullish trend. The cloud dynamically adapts to market volatility, using the UVR calculation to mark support zones or consolidation levels. Purpose of the Blue Cloud: It acts as a visual guide for price movements and stay horizontal when the trend is not moving up Sell Signals and Visualization Signal Trigger: A sell signal is generated when one of the defined Sell Conditions is met (e.g., RSI <50, CMF <0, price below EMA50). Visual Representation: A red downward arrow appears at the candle where the sell condition is triggered. A red cloud forms below the price candles, representing the strength of the bearish trend. Like the blue cloud, it uses the UVR calculation to dynamically mark resistance zones or potential retracement levels. Purpose of the Red Cloud: It acts as a visual guide for price movements and stay horizontal when the trend is not moving down. CONCLUSION The UVR Crypto Trend indicator provides a powerful tool for trend reversal detection by combining volatility analysis, momentum confirmation, and trend-following techniques. Its unique use of the Ultimate Volatility Rate (UVR) as a core element, supported by proven indicators like RSI, CMF, and EMA, ensures reliable and actionable signals tailored for the crypto market's dynamic nature. By leveraging UVR’s high and low price range analysis, it achieves a level of precision that traditional indicators lack, making it a high-performing system for cryptocurrency traders.
Pine Script® indicator
by ebecihalil
MarketStructureLibrary "MarketStructure" Will draw out the market structure for the disired pivot length. The code is from my indicator "Marker structure" (). Create(type, length, source, equalPivotsFactor, extendEqualPivotsZones, equalPivotsStyle, equalPivotsColor, alertFrequency)   Call on each bar. Will create a Structure object.   Parameters:      type (int) : the type of the Structure to create. 0 = internal, 1 = swing.      length (int) : The lenghts (left and right) for pivots to use.      source (string) : The source to be used for structural changes ('Close', 'High/low (aggresive)' (low in an uptrend) or 'High/low (passive)' (high in an uptrend)).      equalPivotsFactor (float) : Set how the limits are for an equal pivot. This is a factor of the Average True Length (ATR) of length 14. If a low pivot is considered to be equal if it doesn't break the low pivot (is at a lower value) and is inside the previous low pivot + this limit.      extendEqualPivotsZones (bool) : Set to true if you want the equal pivots zones to be extended.      equalPivotsStyle (string) : Set the style of equal pivot zones.      equalPivotsColor (color) : Set the color of equal pivot zones.      alertFrequency (string)   Returns: The 'structure' object. Pivot(structure)   Sets the pivots in the structure.   Parameters:      structure (Structure)   Returns: The 'structure' object. PivotLabels(structure)   Draws labels for the pivots found.   Parameters:      structure (Structure)   Returns: The 'structure' object. EqualHighOrLow(structure)   Draws the boxsa for equal highs/lows. Also creates labels for the pivots included.   Parameters:      structure (Structure)   Returns: The 'structure' object. BreakOfStructure(structure)   Will create lines when a break of strycture occures.   Parameters:      structure (Structure)   Returns: The 'structure' object. ChangeOfCharacter(structure)   Will create lines when a change of character occures.   Parameters:      structure (Structure)   Returns: The 'structure' object. StructureBreak   Holds drawings for a structure break.   Fields:      Line (series line) : The line object.      Label (series label) : The label object. Pivot   Holds all the values for a found pivot.   Fields:      Price (series float) : The price of the pivot.      BarIndex (series int) : The bar_index where the pivot occured.      Type (series int) : The type of the pivot (-1 = low, 1 = high).      ChangeOfCharacterBroken (series bool) : Sets to true if a change of character has happened.      BreakOfStructureBroken (series bool) : Sets to true if a break of structure has happened. Structure   Holds all the values for the market structure.   Fields:      Length (series int) : Define the left and right lengths of the pivots used.      Type (series int) : Set the type of the market structure. Two types can be used, 'internal' and 'swing' (0 = internal, 1 = swing).      Trend (series int) : This will be set internally and can be -1 = downtrend, 1 = uptrend.      Source (series string) : Set the source for structural chandeg. Can be 'Close', 'High/low (aggresive)' (low in an uptrend) or 'High/low (passive)' (high in an uptrend).      EqualPivotsFactor (series float) : Set how the limits are for an equal pivot. This is a factor of the Average True Length (ATR) of length 14. If a low pivot is considered to be equal if it doesn't break the low pivot (is at a lower value) and is inside the previous low pivot + this limit.      ExtendEqualPivotsZones (series bool) : Set to true if you want the equal pivots zones to be extended.      ExtendEqualPivotsStyle (series string) : Set the style of equal pivot zones.      ExtendEqualPivotsColor (series color) : Set the color of equal pivot zones.      EqualHighs (array) : Holds the boxes for zones that contains equal highs.      EqualLows (array) : Holds the boxes for zones that contains equal lows.      BreakOfStructures (array) : Holds all the break of structures within the trend (before a change of character).      Pivots (array) : All the pivots in the current trend, added with the latest first, this is cleared when the trend changes.      AlertFrequency (series string) : set the frequency for alerts.
Pine Script® library
by mickes
5
Nasan Hull-smoothed envelope The Nasan Hull-Smoothed Envelope indicator is a sophisticated overlay designed to track price movement within an adaptive "envelope." It dynamically adjusts to market volatility and trend strength, using a series of smoothing and volatility-correction techniques. Here's a detailed breakdown of its components, from the input settings to the calculated visual elements: Inputs look_back_length (500): Defines the lookback period for calculating intraday volatility (IDV), smoothing it over time. A higher value means the indicator considers a longer historical range for volatility calculations. sl (50): Sets the smoothing length for the Hull Moving Average (HMA). The HMA smooths various lines, creating a balance between sensitivity and stability in trend signals. mp (1.5): Multiplier for IDV, scaling the volatility impact on the envelope. A higher multiplier widens the envelope to accommodate higher volatility, while a lower one tightens it. p (0.625): Weight factor that determines the balance between extremes (highest high and lowest low) and averages (sma of high and sma of low) in the high/low calculations. A higher p gives more weight to extremes, making the envelope more responsive to abrupt market changes. Volatility Calculation (IDV) The Intraday Volatility (IDV) metric represents the average volatility per bar as an exponentially smoothed ratio of the high-low range to the close price. This is calculated over the look_back_length period, providing a base volatility value which is then scaled by mp. The IDV enables the envelope to dynamically widen or narrow with market volatility, making it sensitive to current market conditions. Composite High and Low Bands The high and low bands define the upper and lower bounds of the envelope. High Calculation a_high: Uses a multi-period approach to capture the highest highs over several intervals (5, 8, 13, 21, and 34 bars). Averaging these highs provides a more stable reference for the high end of the envelope, capturing both immediate and recent peak values. b_high: Computes the average of shorter simple moving averages (5, 8, and 13 bars) of the high prices, smoothing out fluctuations in the recent highs. This generates a balanced view of high price trends. high_c: Combines a_high and b_high using the weight p. This blend creates a composite high that balances between recent peaks and smoothed averages, making the upper envelope boundary adaptive to short-term price shifts. Low Calculation a_low and b_low: Similar to the high calculation, these capture extreme lows and smooth low values over the same intervals. This approach creates a stable and adaptive lower bound for the envelope. low_c: Combines a_low and b_low using the weight p, resulting in a composite low that adjusts to price fluctuations while maintaining a stable trend line. Volatility-Adjusted Bands The final composite high (c_high) and composite low (c_low) bands are adjusted using IDV, which accounts for intraday volatility. When volatility is high, the bands expand; when it’s low, they contract, providing a visual representation of volatility-adjusted price bounds. Basis Line The basis line is a Hull Moving Average (HMA) of the average of c_high and c_low. The HMA is known for its smoothness and responsiveness, making the basis line a central trend indicator. The color of the basis line changes: Green when the basis line is increasing. Red when the basis line is decreasing. This color-coded basis line serves as a quick visual reference for trend direction. Short-Term Trend Strength Block This component analyzes recent price action to assess short-term bullish and bearish momentum. Conditions (green, red, green1, red1): These are binary conditions that categorize price movements as bullish or bearish based on the close compared to the open and the close’s relationship with the exponential moving average (EMA). This separation helps capture different types of strength (above/below EMA) and different bullish or bearish patterns. Composite Trend Strength Values: Each of the bullish and bearish counts (above and below the EMA) is normalized, resulting in the following values: green_EMAup_a and red_EMAup_a for bullish and bearish strength above the EMA. green_EMAdown_a and red_EMAdown_a for bullish and bearish strength below the EMA. Trend Strength (t_s): This calculated metric combines the normalized trend strengths with extra weight to conditions above the EMA, giving more relevance to trends that have momentum behind them. Enhanced Trend Strength avg_movement: Calculates the average absolute price movement over the short_term_length, providing a measurement of recent price activity that scales with volatility. enhanced_t_s: Multiplies t_s by avg_movement, creating an enhanced trend strength value that reflects both directional strength and the magnitude of recent price movement. min and max: Minimum and maximum percentile thresholds, respectively, based on enhanced_t_s for controlling the color gradient in the fill area. Fill Area The fill area between plot_c_high and plot_c_low is color-coded based on the enhanced trend strength (enhanced_t_s): Gradient color transitions from blue to green based on the strength level, with blue representing weaker trends and green indicating stronger trends. This visual fill provides an at-a-glance assessment of trend strength across the envelope, with color shifts highlighting momentum shifts. Summary The indicator’s purpose is to offer an adaptive price envelope that reflects real-time market volatility and trend strength. Here’s what each component contributes: Basis Line: A trend-following line in the center that adjusts color based on trend direction. Envelope (c_high, c_low): Adapts to volatility by expanding and contracting based on IDV, giving traders a responsive view of expected price bounds. Fill Area: A color-gradient region representing trend strength within the envelope, helping traders easily identify momentum changes. Overall, this tool helps to identify trend direction, market volatility, and strength of price movements, allowing for more informed decisions based on visual cues around price boundaries and trend momentum.
Pine Script® indicator
by federalTacos5392b
Globex time (New York Time)This indicator is designed to highlight and analyze price movements within the Globex session. Primarily geared toward the Globex Trap trading strategy, this tool visually identifies the session's high and low prices, allowing traders to better assess price action during extended hours. Here’s a comprehensive breakdown of its features and functionality: Purpose The "Globex Time (New York Time)" indicator tracks price levels during the Globex trading session, providing a clear view of overnight market activity. This session, typically running from 6 p.m. ET (18:00) until the following morning at 8:30 a.m. ET, is a critical period where significant market positioning can occur before the regular session opens. In the Globex Trap strategy, the session high and low are essential levels, as price movements around these areas often indicate potential support, resistance, or reversal zones, which traders use to set up entries or exits when the regular trading session begins. Key Features Customizable Session Start and End Times The indicator allows users to specify the exact start and end times of the Globex session in New York time. The default settings are: Start: 6 p.m. ET (18:00) End: 8:30 a.m. ET These settings can be adjusted to align with specific market hours or personal preferences. Session High and Low Identification Throughout the defined session, the indicator dynamically calculates and tracks: Session High: The highest price reached within the session. Session Low: The lowest price reached within the session. These levels are essential for the Globex Trap strategy, as price action around them can indicate likely breakout or reversal points when regular trading resumes. Vertical Lines for Session Start and End The indicator draws vertical lines at both the session start and end times: Session Start Line: A solid line marking the exact beginning of the Globex session. Session End Line: A similar vertical line marking the session’s conclusion. Both lines are customizable in terms of color and thickness, making it easy to distinguish the session boundaries visually on the chart. Horizontal Lines for Session High and Low At the end of the session, the indicator plots horizontal lines representing the Globex session's high and low levels. Users can customize these lines: Color: Define specific colors for the session high (default: red) and session low (default: green) to easily differentiate them. Line Style: Options to set the line style (solid, dashed, or dotted) provide flexibility for visual preferences and chart organization. Automatic Reset for Daily Tracking To adapt to the next trading day, the indicator resets the session high and low data once the current session ends. This reset prepares it to start tracking new levels at the beginning of the next session without manual intervention. Practical Application in the Globex Trap Strategy In the Globex Trap strategy, traders are primarily interested in price behavior around the high and low levels established during the overnight session. Common applications of this indicator for this strategy include: Breakout Trades: Watching for price to break above the Globex high or below the Globex low, indicating potential momentum in the breakout direction. Reversal Trades: Monitoring for failed breakouts or traps where price tests and rejects the Globex high or low, suggesting a reversal as liquidity is trapped in these zones. Support and Resistance Zones: Using the session high and low as key support and resistance levels during the regular trading session, with potential entry or exit points when price approaches these areas. Additional Configuration Options Vertical Line Color and Width: Define the color and thickness of the vertical session start and end lines to match your chart’s theme. Upper and Lower Line Colors and Styles: Customize the appearance of the session high and low horizontal lines by setting color and line style (solid, dashed, or dotted), making it easy to distinguish these critical levels from other chart markings. Summary This indicator is a valuable tool for traders implementing the Globex Trap strategy. It visually segments the Globex session and marks essential price levels, helping traders analyze market behavior overnight. Through its customizable options and clear visual representation, it simplifies tracking overnight price activity and identifying strategic levels for potential trade setups during the regular session.
Pine Script® indicator
by DOSALGO
6
Futures Beta Overview with Different BenchmarksBeta Trading and Its Implementation with Futures Understanding Beta Beta is a measure of a security's volatility in relation to the overall market. It represents the sensitivity of the asset's returns to movements in the market, typically benchmarked against an index like the S&P 500. A beta of 1 indicates that the asset moves in line with the market, while a beta greater than 1 suggests higher volatility and potential risk, and a beta less than 1 indicates lower volatility. The Beta Trading Strategy Beta trading involves creating positions that exploit the discrepancies between the theoretical (or expected) beta of an asset and its actual market performance. The strategy often includes: Long Positions on High Beta Assets: Investors might take long positions in assets with high beta when they expect market conditions to improve, as these assets have the potential to generate higher returns. Short Positions on Low Beta Assets: Conversely, shorting low beta assets can be a strategy when the market is expected to decline, as these assets tend to perform better in down markets compared to high beta assets. Betting Against (Bad) Beta The paper "Betting Against Beta" by Frazzini and Pedersen (2014) provides insights into a trading strategy that involves betting against high beta stocks in favor of low beta stocks. The authors argue that high beta stocks do not provide the expected return premium over time, and that low beta stocks can yield higher risk-adjusted returns. Key Points from the Paper: Risk Premium: The authors assert that investors irrationally demand a higher risk premium for holding high beta stocks, leading to an overpricing of these assets. Conversely, low beta stocks are often undervalued. Empirical Evidence: The paper presents empirical evidence showing that portfolios of low beta stocks outperform portfolios of high beta stocks over long periods. The performance difference is attributed to the irrational behavior of investors who overvalue riskier assets. Market Conditions: The paper suggests that the underperformance of high beta stocks is particularly pronounced during market downturns, making low beta stocks a more attractive investment during volatile periods. Implementation of the Strategy with Futures Futures contracts can be used to implement the betting against beta strategy due to their ability to provide leveraged exposure to various asset classes. Here’s how the strategy can be executed using futures: Identify High and Low Beta Futures: The first step involves identifying futures contracts that have high beta characteristics (more sensitive to market movements) and those with low beta characteristics (less sensitive). For example, commodity futures like crude oil or agricultural products might exhibit high beta due to their price volatility, while Treasury bond futures might show lower beta. Construct a Portfolio: Investors can construct a portfolio that goes long on low beta futures and short on high beta futures. This can involve trading contracts on stock indices for high beta stocks and bonds for low beta exposures. Leverage and Risk Management: Futures allow for leverage, which means that a small movement in the underlying asset can lead to significant gains or losses. Proper risk management is essential, using stop-loss orders and position sizing to mitigate the inherent risks associated with leveraged trading. Adjusting Positions: The positions may need to be adjusted based on market conditions and the ongoing performance of the futures contracts. Continuous monitoring and rebalancing of the portfolio are essential to maintain the desired risk profile. Performance Evaluation: Finally, investors should regularly evaluate the performance of the portfolio to ensure it aligns with the expected outcomes of the betting against beta strategy. Metrics like the Sharpe ratio can be used to assess the risk-adjusted returns of the portfolio. Conclusion Beta trading, particularly the strategy of betting against high beta assets, presents a compelling approach to capitalizing on market inefficiencies. The research by Frazzini and Pedersen emphasizes the benefits of focusing on low beta assets, which can yield more favorable risk-adjusted returns over time. When implemented using futures, this strategy can provide a flexible and efficient means to execute trades while managing risks effectively. References Frazzini, A., & Pedersen, L. H. (2014). Betting against beta. Journal of Financial Economics, 111(1), 1-25. Fama, E. F., & French, K. R. (1992). The cross-section of expected stock returns. Journal of Finance, 47(2), 427-465. Black, F. (1972). Capital Market Equilibrium with Restricted Borrowing. Journal of Business, 45(3), 444-454. Ang, A., & Chen, J. (2010). Asymmetric volatility: Evidence from the stock and bond markets. Journal of Financial Economics, 99(1), 60-80. By utilizing the insights from academic literature and implementing a disciplined trading strategy, investors can effectively navigate the complexities of beta trading in the futures market.
Pine Script® indicator
by EdgeTools
Iceberg Trade Revealer [CHE]Unveiling Iceberg Trades: A Deep Dive into Low Volatility Market Phases Introduction In the dynamic world of trading, hidden forces often influence market movements in ways that aren't immediately apparent. One such force is the phenomenon of iceberg trades—large orders that are concealed to prevent significant market impact. This presentation explores the concept of iceberg trades, explains why they are typically hidden during periods of low volatility, and introduces an indicator designed to reveal these elusive trades. Agenda 1. Understanding Iceberg Trades - Definition and Purpose - Impact on Market Dynamics 2. The Low Volatility Concealment - Why Low Volatility Phases? - Strategies Behind Hiding Large Orders 3. Introducing the Iceberg Trade Revealer Indicator - How the Indicator Works - Key Components and Calculations 4. Demonstration and Use Cases - Interpreting the Indicator Signals - Practical Trading Applications 5. Conclusion - Summarizing the Insights - Q&A Session 1. Understanding Iceberg Trades Definition and Purpose - Iceberg Trades are large single orders divided into smaller lots to disguise the total order quantity. - Traders use iceberg orders to minimize market impact and avoid unfavorable price movements. Impact on Market Dynamics - Concealed Volume: Iceberg orders hide true supply and demand levels. - Price Stability: They prevent sudden spikes or drops by releasing orders gradually. - Market Sentiment: Their presence can influence perceptions of market strength or weakness. 2. The Low Volatility Concealment Why Low Volatility Phases? - Less Market Attention: Low volatility periods attract fewer traders, making it easier to conceal large orders. - Reduced Slippage: Prices are more stable, reducing the risk of executing orders at unfavorable prices. - Strategic Advantage: Large players can accumulate or distribute positions without tipping off the market. Strategies Behind Hiding Large Orders - Order Splitting: Breaking down large orders into smaller pieces. - Time Slicing: Executing orders over an extended period. - Algorithmic Trading: Using sophisticated algorithms to optimize order execution. 3. Introducing the Iceberg Trade Revealer Indicator How the Indicator Works - Core Thesis: Iceberg trades can be detected by analyzing periods of unusually low volatility. - Volatility Analysis: Uses the Average True Range (ATR) and Bollinger Bands to identify low volatility phases. - Signal Generation: Marks periods where iceberg trades are likely occurring. Key Components and Calculations 1. Average True Range (ATR) - Measures market volatility over a specified period. - Lower ATR values indicate less price movement. 2. Bollinger Bands - Creates a volatility envelope around the ATR. - Bands tighten during low volatility and widen during high volatility. 3. Timeframe Adjustments - Utilizes multiple timeframes to enhance signal accuracy. - Options for auto, multiplier, or manual timeframe selection. 4. Signal Conditions - Iceberg Trade Detection: ATR falls below the lower Bollinger Band. - Revealed Volatility: ATR rises above the upper Bollinger Band, indicating potential market moves after iceberg trades. 4. Demonstration and Use Cases Interpreting the Indicator Signals - Iceberg Trade Zones: Highlighted areas where large hidden orders are likely. - Revealed Volatility Zones: Areas indicating the market's response to the execution of iceberg trades. Practical Trading Applications - Entry and Exit Points: Use signals to time trades alongside institutional activity. - Risk Management: Adjust strategies during detected low volatility phases. - Market Analysis: Gain insights into underlying market mechanics. 5. Conclusion Summarizing the Insights - Iceberg Trades play a significant role in market movements, especially when concealed during low volatility phases. - The Iceberg Trade Revealer Indicator provides a tool to uncover these hidden activities, offering traders a strategic edge. - Understanding and utilizing this indicator can enhance trading decisions by aligning them with the actions of major market players. Best regards Chervolino ( Volker ) Q&A Session - Questions and Discussions: Open the floor for any queries or further explanations. Thank You! By delving into the hidden aspects of market activity, traders can better navigate the complexities of financial markets. The Iceberg Trade Revealer Indicator serves as a bridge between observable market data and the concealed strategies of large institutions. References - Average True Range (ATR): A technical analysis indicator that measures market volatility. - Bollinger Bands: A volatility indicator that creates a band of three lines which are plotted in relation to a security's price. - Iceberg Orders: Large orders divided into smaller lots to hide the actual order quantity. Note: Always consider multiple factors when making trading decisions. Indicators provide tools, but they do not guarantee results. Educational Content Disclaimer: Disclaimer: The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Pine Script® indicator
by chervolino
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