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Techindicator

eHarmonicpatternsExtendedLibrary "eHarmonicpatternsExtended" Library provides an alternative method to scan harmonic patterns. This is helpful in reducing iterations. Republishing as new library instead of existing eHarmonicpatterns because I need that copy for existing scripts. scan_xab(bcdRatio, err_min, err_max, patternArray) Checks if bcd ratio is in range of any harmonic pattern   Parameters:      bcdRatio : AB/XA ratio      err_min : minimum error threshold      err_max : maximum error threshold      patternArray : Array containing pattern check flags. Checks are made only if flags are true. Upon check flgs are overwritten. scan_abc_axc(abcRatio, axcRatio, err_min, err_max, patternArray) Checks if abc or axc ratio is in range of any harmonic pattern   Parameters:      abcRatio : BC/AB ratio      axcRatio : XC/AX ratio      err_min : minimum error threshold      err_max : maximum error threshold      patternArray : Array containing pattern check flags. Checks are made only if flags are true. Upon check flgs are overwritten. scan_bcd(bcdRatio, err_min, err_max, patternArray) Checks if bcd ratio is in range of any harmonic pattern   Parameters:      bcdRatio : CD/BC ratio      err_min : minimum error threshold      err_max : maximum error threshold      patternArray : Array containing pattern check flags. Checks are made only if flags are true. Upon check flgs are overwritten. scan_xad_xcd(xadRatio, xcdRatio, err_min, err_max, patternArray) Checks if xad or xcd ratio is in range of any harmonic pattern   Parameters:      xadRatio : AD/XA ratio      xcdRatio : CD/XC ratio      err_min : minimum error threshold      err_max : maximum error threshold      patternArray : Array containing pattern check flags. Checks are made only if flags are true. Upon check flgs are overwritten. isHarmonicPattern(x, a, b, c, d, flags, errorPercent) Checks for harmonic patterns   Parameters:      x : X coordinate value      a : A coordinate value      b : B coordinate value      c : C coordinate value      d : D coordinate value      flags : flags to check patterns. Send empty array to enable all      errorPercent : Error threshold   Returns: Array of boolean values which says whether valid pattern exist and array of corresponding pattern names isHarmonicProjection(x, a, b, c, flags, errorPercent) Checks for harmonic pattern projection   Parameters:      x : X coordinate value      a : A coordinate value      b : B coordinate value      c : C coordinate value      flags : flags to check patterns. Send empty array to enable all      errorPercent : Error threshold   Returns: Array of boolean values which says whether valid pattern exist and array of corresponding pattern names. get_prz_range(x, a, b, c, patternArray, errorPercent, start_adj, end_adj) Provides PRZ range based on BCD and XAD ranges   Parameters:      x : X coordinate value      a : A coordinate value      b : B coordinate value      c : C coordinate value      patternArray : Pattern flags for which PRZ range needs to be calculated      errorPercent : Error threshold      start_adj : - Adjustments for entry levels      end_adj : - Adjustments for stop levels   Returns: Start and end of consolidated PRZ range get_prz_range_xad(x, a, b, c, patternArray, errorPercent, start_adj, end_adj) Provides PRZ range based on XAD range only   Parameters:      x : X coordinate value      a : A coordinate value      b : B coordinate value      c : C coordinate value      patternArray : Pattern flags for which PRZ range needs to be calculated      errorPercent : Error threshold      start_adj : - Adjustments for entry levels      end_adj : - Adjustments for stop levels   Returns: Start and end of consolidated PRZ range
Pine Script® Bibliothek
von Trendoscope
14
Adaptive_LengthLibrary "Adaptive_Length" This library contains functions to calculate Adaptive dynamic length which can be used in Moving Averages and other indicators. Two Exponential Moving Averages (EMA) are plotted. Coloring in plot is derived from Chikou filter and Dynamic length of MA1 is adapted using Signal output from Chikou library. dynamic(para, adapt_Pct, minLength, maxLength) Adaptive dynamic length based on boolean parameter   Parameters:      para : Boolean parameter; if true then length would decrease and would increase if its false      adapt_Pct : Percentage adaption based on parameter      minLength : Minimum allowable length      maxLength : Maximum allowable length   Returns: Adaptive Dynamic Length based on Boolean Parameter auto_alpha(src, a) Adaptive length based on automatic alpha calculations from source input   Parameters:      src : Price source for alpha calculations      a : Input Alpha value   Returns: Adaptive Length calculated from input price Source and Alpha
Pine Script® Bibliothek
von MightyZinger
1
HA_CandlesLibrary "HA_Candles" Heikin Ashi Candles HA_Close() Heikin Ashi Modified Close   Returns: Heikin Ashi Modified Close HA_Open() Heikin Ashi Modified Open   Returns: Heikin Ashi Modified Open HA_High() Heikin Ashi Modified High   Returns: Heikin Ashi Modified High HA_Low() Heikin Ashi Modified Low   Returns: Heikin Ashi Modified Low HA_Delta(Heikin) Heikin Ashi Delta   Parameters:      Heikin : Ashi Close, Heikin Ashi Open   Returns: Heikin Ashi Delta
Pine Script® Bibliothek
von smhoma
1
RVSILibrary "RVSI" This Library contains functions that calculate all types of " Relative Volume Strength Index (MZ RVSI ) " depending upon unique volume oscillator. Achieved RVSI value can be used for divergence detection in volume or to adapt dynamic length in Moving Averages or other functions. rvsi_tfs(vol_src, vol_Len, rvsiLen, _open, _close) Relative Volume Strength Index based on TFS Volume Oscillator   Parameters:      vol_src : Volume Source      vol_Len : Volume Legth for TFS Volume Oscillato      rvsiLen : Period of Relative Volume Strength Index      _open : Ticker Open Value      _close : Ticker Close Value   Returns: Relative Volume Strength Index value based on TFS Volume Oscillator rvsi_obv(vol_src, rvsiLen, _close) Relative Volume Strength Index based on On Balance Volume   Parameters:      vol_src : Volume Source to Calculate On Balance Volume      rvsiLen : Period of Relative Volume Strength Index      _close : Ticker Close Value   Returns: Relative Volume Strength Index value based on On Balance Volume rvsi_kvo(vol_src, FastX, SlowX, rvsiLen, _close) Relative Volume Strength Index based on Klinger Volume Oscillator   Parameters:      vol_src : Volume Source      FastX : Volume Fast Length      SlowX : Volume Slow Length      rvsiLen : Period of Relative Volume Strength Index      _close : Ticker Close Value   Returns: Relative Volume Strength Index value based on Klinger Volume Oscillator rvsi_vzo(vol_src, zLen, rvsiLen, _close) Relative Volume Strength Index based on Volume Zone Oscillator   Parameters:      vol_src : Volume Source      zLen : Volume Legth for Volume Zone Oscillator      rvsiLen : Period of Relative Volume Strength Index      _close : Ticker Close Value   Returns: Relative Volume Strength Index value based on Volume Zone Oscillator rvsi_cvo_obv(vol_src, ema1len, ema2len, rvsiLen) Relative Volume Strength Index based on Cumulative Volume Oscillator with On Balance Volume as Calculations Source   Parameters:      vol_src : Volume Source      ema1len : EMA Fast Length      ema2len : EMA Slow Length      rvsiLen : Period of Relative Volume Strength Index   Returns: Relative Volume Strength Index value based on Cumulative Volume Oscillator with On Balance Volume as Calculations Source rvsi_cvo_pvt(vol_src, FastX, SlowX, rvsiLen) Relative Volume Strength Index based on Cumulative Volume Oscillator with Price Volume Trend as Calculations Source   Parameters:      vol_src : Volume Source      FastX : EMA Fast Length      SlowX : EMA Slow Length      rvsiLen : Period of Relative Volume Strength Index   Returns: Relative Volume Strength Index value based on Cumulative Volume Oscillator with Price Volume Trend as Calculations Source rvsi_cvo_cvd(vol_src, FastX, SlowX, rvsiLen, _open, _close, _high, _low) Relative Volume Strength Index based on Cumulative Volume Oscillator with Cumulative Volume Delta as Calculations Source   Parameters:      vol_src : Volume Source      FastX : EMA Fast Length      SlowX : EMA Slow Length      rvsiLen : Period of Relative Volume Strength Index      _open : Ticker Open Value      _close : Ticker Close Value      _high : Ticker High Value      _low : Ticker Low Value   Returns: Relative Volume Strength Index value based on Cumulative Volume Oscillator with Cumulative Volume Delta as Calculations Source
Pine Script® Bibliothek
von MightyZinger
2
JohnEhlersFourierTransformLibrary "JohnEhlersFourierTransform" Fourier Transform for Traders By John Ehlers, slightly modified to allow to inspect other than the 8-50 frequency spectrum. reference: www.mesasoftware.com high_pass_filter(source) Detrended version of the data by High Pass Filtering with a 40 Period cutoff   Parameters:      source : float, data source.   Returns: float. transformed_dft(source, start_frequency, end_frequency) DFT by John Elhers.   Parameters:      source : float, data source.      start_frequency : int, lower bound of the frequency window, must be a positive number >= 0, window must be less than or 30.      end_frequency : int, upper bound of the frequency window, must be a positive number >= 0, window must be less than or 30.   Returns: tuple with float, float array. db_to_rgb(db, transparency) converts the frequency decibels to rgb.   Parameters:      db : float, decibels value.      transparency : float, transparency value.   Returns: color.
Pine Script® Bibliothek
von RicardoSantos
24
windowing_taAll Signals Are the Sum of Sines. When looking at real-world signals, you usually view them as a price changing over time. This is referred to as the time domain. Fourier’s theorem states that any waveform in the time domain can be represented by the weighted sum of sines and cosines. For example, take two sine waves, where one is three times as fast as the other–or the frequency is 1/3 the first signal. When you add them, you can see you get a different signal. Although performing an FFT on a signal can provide great insight, it is important to know the limitations of the FFT and how to improve the signal clarity using windowing. When you use the FFT to measure the frequency component of a signal, you are basing the analysis on a finite set of data. The actual FFT transform assumes that it is a finite data set, a continuous spectrum that is one period of a periodic signal. For the FFT, both the time domain and the frequency domain are circular topologies, so the two endpoints of the time waveform are interpreted as though they were connected together. When the measured signal is periodic and an integer number of periods fill the acquisition time interval, the FFT turns out fine as it matches this assumption. However, many times, the measured signal isn’t an integer number of periods. Therefore, the finiteness of the measured signal may result in a truncated waveform with different characteristics from the original continuous-time signal, and the finiteness can introduce sharp transition changes into the measured signal. The sharp transitions are discontinuities. When the number of periods in the acquisition is not an integer, the endpoints are discontinuous. These artificial discontinuities show up in the FFT as high-frequency components not present in the original signal. These frequencies can be much higher than the Nyquist frequency and are aliased between 0 and half of your sampling rate. The spectrum you get by using a FFT, therefore, is not the actual spectrum of the original signal, but a smeared version. It appears as if energy at one frequency leaks into other frequencies. This phenomenon is known as spectral leakage, which causes the fine spectral lines to spread into wider signals. You can minimize the effects of performing an FFT over a noninteger number of cycles by using a technique called windowing. Windowing reduces the amplitude of the discontinuities at the boundaries of each finite sequence acquired by the digitizer. Windowing consists of multiplying the time record by a finite-length window with an amplitude that varies smoothly and gradually toward zero at the edges. This makes the endpoints of the waveform meet and, therefore, results in a continuous waveform without sharp transitions. This technique is also referred to as applying a window. Here is a windowing_ta library with J.F Ehlers Windowing functions proposed on Sep, 2021. Library "windowing_ta" hann() hamm() fir_sma() fir_triangle()
Pine Script® Bibliothek
von blackcat1402
2
TAExtLibrary "TAExt" Indicator functions can be used in other indicators and strategies. This will be extended by time with indicators I use in my strategies and studies. atrwo(length, stdev_length, stdev_mult) ATR without outliers   Parameters:      length : The length of the ATR      stdev_length : The length of the standard deviation, used for detecting outliers      stdev_mult : The multiplier of the standard deviation, used for detecting outliers   Returns: The ATR value atrwma(src, period, type, atr_length, stdev_length, stdev_mult) ATR without outlier weighted moving average   Parameters:      src : The source of the moving average      period : The period of the moving average      type : The type of the moving average, possible values: SMA, EMA, RMA      atr_length : The length of the ATR      stdev_length : The length of the standard deviation, used for detecting outliers      stdev_mult : The multiplier of the standard deviation, used for detecting outliers   Returns: The moving average value jma(src, period, phase, power) Jurik Moving Average   Parameters:      src : The source of the moving average      period : The period of the moving average calculation      phase : The phase of jurik MA calculation (-100..100)      power : The power of jurik MA calculation   Returns: The Jurik MA series anyma(src, period, type, offset, sigma, phase, power) Moving Average by type   Parameters:      src : The source of the moving average      period : The period of the moving average calculation      type : The type of the moving average      offset : Used only by ALMA, it is the ALMA offset      sigma : Used only by ALMA, it is the ALMA sigma      phase : The phase of jurik MA calculation (-100..100)      power : The power of jurik MA calculation   Returns: The moving average series wae(macd_src, macd_fast_length, macd_slow_length, macd_sensitivity, bb_base_src, bb_upper_src, bb_lower_src, bb_length, bb_mult, dead_zone_length, dead_zone_mult) Waddah Attar Explosion (WAE)   Parameters:      macd_src : The source series used by MACD      macd_fast_length : The fast MA length of the MACD      macd_slow_length : The slow MA length of the MACD      macd_sensitivity : The MACD diff multiplier      bb_base_src : The source used by stdev      bb_upper_src : The source used by the upper Bollinger Band      bb_lower_src : The source used by the lower Bollinger Band      bb_length : The lenth for Bollinger Bands      bb_mult : The multiplier for Bollinger Bands      dead_zone_length : The ATR length for dead zone calculation      dead_zone_mult : The ATR multiplier for dead zone   Returns: ssl(length, high_src, low_src) Semaphore Signal Level channel (SSL)   Parameters:      length : The length of the moving average      high_src : Source of the high moving average      low_src : Source of the low moving average   Returns: adx(atr_length, di_length, adx_length, high_src, low_src, atr_ma_type, di_ma_type, adx_ma_type) Average Directional Index + Direction Movement Index (ADX + DMI)   Parameters:      atr_length : The length of ATR      di_length : DI plus and minus smoothing length      adx_length : ADX smoothing length      high_src : Source of the high moving average      low_src : Source of the low moving average      atr_ma_type : MA type of the ATR calculation      di_ma_type : MA type of the DI calculation      adx_ma_type : MA type of the ADX calculation   Returns:
Pine Script® Bibliothek
von TheBacktestGuy
9
historicalrangeLibrary "historicalrange" Library provices a method to calculate historical percentile range of series. hpercentrank(source) calculates historical percentrank of the source   Parameters:      source : Source for which historical percentrank needs to be calculated. Source should be ranging between 0-100. If using a source which can beyond 0-100, use short term percentrank to baseline them.   Returns: pArray - percentrank array which contains how many instances of source occurred at different levels. upperPercentile - percentile based on higher value lowerPercentile - percentile based on lower value median - median value of the source max - max value of the source distancefromath(source) returns stats on historical distance from ath in terms of percentage   Parameters:      source : for which stats are calculated   Returns: percentile and related historical stats regarding distance from ath distancefromma(maType, length, source) returns stats on historical distance from moving average in terms of percentage   Parameters:      maType : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median      length : Moving Average Length      source : for which stats are calculated   Returns: percentile and related historical stats regarding distance from ath bpercentb(source, maType, length, multiplier, sticky) returns percentrank and stats on historical bpercentb levels   Parameters:      source : Moving Average Source      maType : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median      length : Moving Average Length      multiplier : Standard Deviation multiplier      sticky : - sticky boundaries which will only change when value is outside boundary.   Returns: percentile and related historical stats regarding Bollinger Percent B kpercentk(source, maType, length, multiplier, useTrueRange, sticky) returns percentrank and stats on historical kpercentk levels   Parameters:      source : Moving Average Source      maType : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median      length : Moving Average Length      multiplier : Standard Deviation multiplier      useTrueRange : - if set to false, uses high-low.      sticky : - sticky boundaries which will only change when value is outside boundary.   Returns: percentile and related historical stats regarding Keltener Percent K dpercentd(useAlternateSource, alternateSource, length, sticky) returns percentrank and stats on historical dpercentd levels   Parameters:      useAlternateSource : - Custom source is used only if useAlternateSource is set to true      alternateSource : - Custom source      length : - donchian channel length      sticky : - sticky boundaries which will only change when value is outside boundary.   Returns: percentile and related historical stats regarding Donchian Percent D oscillator(type, length, shortLength, longLength, source, highSource, lowSource, method, highlowLength, sticky) oscillator - returns Choice of oscillator with custom overbought/oversold range   Parameters:      type : - oscillator type. Valid values : cci, cmo, cog, mfi, roc, rsi, stoch, tsi, wpr      length : - Oscillator length - not used for TSI      shortLength : - shortLength only used for TSI      longLength : - longLength only used for TSI      source : - custom source if required      highSource : - custom high source for stochastic oscillator      lowSource : - custom low source for stochastic oscillator      method : - Valid values for method are : sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median      highlowLength : - length on which highlow of the oscillator is calculated      sticky : - overbought, oversold levels won't change unless crossed   Returns: percentile and related historical stats regarding oscillator
Pine Script® Bibliothek
von Trendoscope
1
dc_taAdaptive technical indicators are importants in a non stationary market, the ability to adapt to a situation can boost the efficiency of your strategy. A lot of methods have been proposed to make technical indicators "smarters", the dominant cycle tuned indicators are one of them which are based on J.F.Ehlers theory. Here is a collections of algorithms to calculate dominant cycles. ENJOY! Library "dc_ta" bton() EhlersHoDyDC() EhlersPhAcDC() EhlersDuDiDC() EhlersCycPer() EhlersCycPer2() EhlersBPZC() EhlersAutoPer() EhlersHoDyDCE() EhlersPhAcDCE() EhlersDuDiDCE() EhlersDFTDC() EhlersDFTDC2()
Pine Script® Bibliothek
von blackcat1402
5
noldo_taI'm a follower of Noldo, and I've learned almost all of his published scripts. I like some of the basic functions he wrote so much that I decided to collect them as a noldo_ta library file to share. Most of these functions are the same as Noldo's version, and there are some interesting algorithmic processing, which I also encapsulated into functions. Enjoy. COURTESY OF NOLDO for these intersting functions! Library "noldo_ta" bton() f_ema() f_highest() f_lowest() f_rma() f_rsi() f_stoch() f_kdj() f_sum() f_sma() f_stdev() f_bb() f_pearson_corr() f_multiple_corr() f_adjusted_r_squared() f_mfi() dow() pivothl() f_adjusted_r_squared2() linreg() f_roc() f_macd() f_mom() f_wma() f_hull() f_vwma() f_obv() f_sar() f_stochastic() f_stochrsi() f_stochmfi() f_kst() f_smahist() f_emahist() f_fisher() f_ao() f_accdist() f_highestbars() f_lowestbars()
Pine Script® Bibliothek
von blackcat1402
1
BjCandlePatternsLibrary "BjCandlePatterns" Patterns is a Japanese candlestick pattern recognition Library for developers. Functions here within detect viable setups in a variety of popular patterns. Please note some patterns are without filters such as comparisons to average candle sizing, or trend detection to allow the author more freedom. doji(dojiSize, dojiWickSize) Detects "Doji" candle patterns   Parameters:      dojiSize : (float) The relationship of body to candle size (ie. body is 5% of total candle size). Default is 5.0 (5%)      dojiWickSize : (float) Maximum wick size comparative to the opposite wick. (eg. 2 = bottom wick must be less than or equal to 2x the top wick). Default is 2   Returns: (series bool) True when pattern detected dLab(showLabel, labelColor, textColor) Produces "Doji" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern bullEngulf(maxRejectWick, mustEngulfWick) Detects "Bullish Engulfing" candle patterns   Parameters:      maxRejectWick : (float) Maximum rejection wick size. The maximum wick size as a percentge of body size allowable for a top wick on the resolution candle of the pattern. 0.0 disables the filter. eg. 50 allows a top wick half the size of the body. Default is 0% (Disables wick detection).      mustEngulfWick : (bool) input to only detect setups that close above the high prior effectively engulfing the candle in its entirety. Default is false   Returns: (series bool) True when pattern detected bewLab(showLabel, labelColor, textColor) Produces "Bullish Engulfing" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern bearEngulf(maxRejectWick, mustEngulfWick) Detects "Bearish Engulfing" candle patterns   Parameters:      maxRejectWick : (float) Maximum rejection wick size. The maximum wick size as a percentge of body size allowable for a bottom wick on the resolution candle of the pattern. 0.0 disables the filter. eg. 50 allows a botom wick half the size of the body. Default is 0% (Disables wick detection).      mustEngulfWick : (bool) Input to only detect setups that close below the low prior effectively engulfing the candle in its entirety. Default is false   Returns: (series bool) True when pattern detected bebLab(showLabel, labelColor, textColor) Produces "Bearish Engulfing" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern hammer(ratio, shadowPercent) Detects "Hammer" candle patterns   Parameters:      ratio : (float) The relationship of body to candle size (ie. body is 33% of total candle size). Default is 33%.      shadowPercent : (float) The maximum allowable top wick size as a percentage of body size. Default is 5%.   Returns: (series bool) True when pattern detected hLab(showLabel, labelColor, textColor) Produces "Hammer" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern star(ratio, shadowPercent) Detects "Star" candle patterns   Parameters:      ratio : (float) The relationship of body to candle size (ie. body is 33% of total candle size). Default is 33%.      shadowPercent : (float) The maximum allowable bottom wick size as a percentage of body size. Default is 5%.   Returns: (series bool) True when pattern detected ssLab(showLabel, labelColor, textColor) Produces "Star" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern dragonflyDoji() Detects "Dragonfly Doji" candle patterns   Returns: (series bool) True when pattern detected ddLab(showLabel, labelColor) Produces "Dragonfly Doji" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow   Returns: (series label) A label visible at the chart level intended for the title pattern gravestoneDoji() Detects "Gravestone Doji" candle patterns   Returns: (series bool) True when pattern detected gdLab(showLabel, labelColor, textColor) Produces "Gravestone Doji" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern tweezerBottom(closeUpperHalf) Detects "Tweezer Bottom" candle patterns   Parameters:      closeUpperHalf : (bool) input to only detect setups that close above the mid-point of the candle prior increasing its bullish tendancy. Default is false   Returns: (series bool) True when pattern detected tbLab(showLabel, labelColor, textColor) Produces "Tweezer Bottom" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern tweezerTop(closeLowerHalf) Detects "TweezerTop" candle patterns   Parameters:      closeLowerHalf : (bool) input to only detect setups that close below the mid-point of the candle prior increasing its bearish tendancy. Default is false   Returns: (series bool) True when pattern detected ttLab(showLabel, labelColor, textColor) Produces "TweezerTop" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern spinningTopBull(wickSize) Detects "Bullish Spinning Top" candle patterns   Parameters:      wickSize : (float) input to adjust detection of the size of the top wick/ bottom wick as a percent of total candle size. Default is 34%, which ensures the wicks are both larger than the body.   Returns: (series bool) True when pattern detected stwLab(showLabel, labelColor, textColor) Produces "Bullish Spinning Top" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern spinningTopBear(wickSize) Detects "Bearish Spinning Top" candle patterns   Parameters:      wickSize : (float) input to adjust detection of the size of the top wick/ bottom wick as a percent of total candle size. Default is 34%, which ensures the wicks are both larger than the body.   Returns: (series bool) True when pattern detected stbLab(showLabel, labelColor, textColor) Produces "Bearish Spinning Top" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern spinningTop(wickSize) Detects "Spinning Top" candle patterns   Parameters:      wickSize : (float) input to adjust detection of the size of the top wick/ bottom wick as a percent of total candle size. Default is 34%, which ensures the wicks are both larger than the body.   Returns: (series bool) True when pattern detected stLab(showLabel, labelColor, textColor) Produces "Spinning Top" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern morningStar() Detects "Bullish Morning Star" candle patterns   Returns: (series bool) True when pattern detected msLab(showLabel, labelColor, textColor) Produces "Bullish Morning Star" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern eveningStar() Detects "Bearish Evening Star" candle patterns   Returns: (series bool) True when pattern detected esLab(showLabel, labelColor, textColor) Produces "Bearish Evening Star" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern haramiBull() Detects "Bullish Harami" candle patterns   Returns: (series bool) True when pattern detected hwLab(showLabel, labelColor, textColor) Produces "Bullish Harami" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern haramiBear() Detects "Bearish Harami" candle patterns   Returns: (series bool) True when pattern detected hbLab(showLabel, labelColor, textColor) Produces "Bearish Harami" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern haramiBullCross() Detects "Bullish Harami Cross" candle patterns   Returns: (series bool) True when pattern detected hcwLab(showLabel, labelColor, textColor) Produces "Bullish Harami Cross" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern haramiBearCross() Detects "Bearish Harami Cross" candle patterns   Returns: (series bool) True when pattern detected hcbLab(showLabel, labelColor) Produces "Bearish Harami Cross" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow   Returns: (series label) A label visible at the chart level intended for the title pattern marubullzu() Detects "Bullish Marubozu" candle patterns   Returns: (series bool) True when pattern detected mwLab(showLabel, labelColor, textColor) Produces "Bullish Marubozu" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern marubearzu() Detects "Bearish Marubozu" candle patterns   Returns: (series bool) True when pattern detected mbLab(showLabel, labelColor, textColor) Produces "Bearish Marubozu" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern abandonedBull() Detects "Bullish Abandoned Baby" candle patterns   Returns: (series bool) True when pattern detected abwLab(showLabel, labelColor, textColor) Produces "Bullish Abandoned Baby" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern abandonedBear() Detects "Bearish Abandoned Baby" candle patterns   Returns: (series bool) True when pattern detected abbLab(showLabel, labelColor, textColor) Produces "Bearish Abandoned Baby" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern piercing() Detects "Piercing" candle patterns   Returns: (series bool) True when pattern detected pLab(showLabel, labelColor, textColor) Produces "Piercing" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern darkCloudCover() Detects "Dark Cloud Cover" candle patterns   Returns: (series bool) True when pattern detected dccLab(showLabel, labelColor, textColor) Produces "Dark Cloud Cover" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern tasukiBull() Detects "Upside Tasuki Gap" candle patterns   Returns: (series bool) True when pattern detected utgLab(showLabel, labelColor, textColor) Produces "Upside Tasuki Gap" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern tasukiBear() Detects "Downside Tasuki Gap" candle patterns   Returns: (series bool) True when pattern detected dtgLab(showLabel, labelColor, textColor) Produces "Downside Tasuki Gap" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern risingThree() Detects "Rising Three Methods" candle patterns   Returns: (series bool) True when pattern detected rtmLab(showLabel, labelColor, textColor) Produces "Rising Three Methods" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern fallingThree() Detects "Falling Three Methods" candle patterns   Returns: (series bool) True when pattern detected ftmLab(showLabel, labelColor, textColor) Produces "Falling Three Methods" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern risingWindow() Detects "Rising Window" candle patterns   Returns: (series bool) True when pattern detected rwLab(showLabel, labelColor, textColor) Produces "Rising Window" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern fallingWindow() Detects "Falling Window" candle patterns   Returns: (series bool) True when pattern detected fwLab(showLabel, labelColor, textColor) Produces "Falling Window" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern kickingBull() Detects "Bullish Kicking" candle patterns   Returns: (series bool) True when pattern detected kwLab(showLabel, labelColor, textColor) Produces "Bullish Kicking" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern kickingBear() Detects "Bearish Kicking" candle patterns   Returns: (series bool) True when pattern detected kbLab(showLabel, labelColor, textColor) Produces "Bearish Kicking" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern lls(ratio) Detects "Long Lower Shadow" candle patterns   Parameters:      ratio : (float) A relationship of the lower wick to the overall candle size expressed as a percent. Default is 75%   Returns: (series bool) True when pattern detected llsLab(showLabel, labelColor, textColor) Produces "Long Lower Shadow" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern lus(ratio) Detects "Long Upper Shadow" candle patterns   Parameters:      ratio : (float) A relationship of the upper wick to the overall candle size expressed as a percent. Default is 75%   Returns: (series bool) True when pattern detected lusLab(showLabel, labelColor, textColor) Produces "Long Upper Shadow" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern bullNeck() Detects "Bullish On Neck" candle patterns   Returns: (series bool) True when pattern detected nwLab(showLabel, labelColor, textColor) Produces "Bullish On Neck" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern bearNeck() Detects "Bearish On Neck" candle patterns   Returns: (series bool) True when pattern detected nbLab(showLabel, labelColor, textColor) Produces "Bearish On Neck" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern soldiers(wickSize) Detects "Three White Soldiers" candle patterns   Parameters:      wickSize : (float) Maximum allowable top wick size throughout pattern expressed as a percent of total candle height. Default is 5%   Returns: (series bool) True when pattern detected wsLab(showLabel, labelColor, textColor) Produces "Three White Soldiers" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern crows(wickSize) Detects "Three Black Crows" candle patterns   Parameters:      wickSize : (float) Maximum allowable bottom wick size throughout pattern expressed as a percent of total candle height. Default is 5%   Returns: (series bool) True when pattern detected bcLab(showLabel, labelColor, textColor) Produces "Three Black Crows" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern triStarBull() Detects "Bullish Tri-Star" candle patterns   Returns: (series bool) True when pattern detected tswLab(showLabel, labelColor, textColor) Produces "Bullish Tri-Star" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern triStarBear() Detects "Bearish Tri-Star" candle patterns   Returns: (series bool) True when pattern detected tsbLab(showLabel, labelColor, textColor) Produces "Bearish Tri-Star" identifier label   Parameters:      showLabel : (bool) Shows label when input is true. Default is false      labelColor : (series color) Color of the label border and arrow      textColor : (series color) Text color   Returns: (series label) A label visible at the chart level intended for the title pattern wrap(cond, barsBack, borderColor, bgcolor) Produces a box wrapping the highs and lows over the look back.   Parameters:      cond : (series bool) Condition under which to draw the box.      barsBack : (series int) the number of bars back to begin drawing the box.      borderColor : (series color) Color of the four borders. Optional. The default is color.gray.      bgcolor : (series color) Background color of the box. Optional. The default is color.gray.   Returns: (series box) A box who's top and bottom are above and below the highest and lowest points over the lookback topWick() returns the top wick size of the current candle   Returns: (series float) A value equivelent to the distance from the top of the candle body to its high bottomWick() returns the bottom wick size of the current candle   Returns: (series float) A value equivelent to the distance from the bottom of the candle body to its low body() returns the body size of the current candle   Returns: (series float) A value equivelent to the distance between the top and the bottom of the candle body highestBody() returns the highest body of the current candle   Returns: (series float) A value equivelent to the highest body, whether it is the open or the close lowestBody() returns the lowest body of the current candle   Returns: (series float) A value equivelent to the highest body, whether it is the open or the close barRange() returns the height of the current candle   Returns: (series float) A value equivelent to the distance between the high and the low of the candle bodyPct() returns the body size as a percent   Returns: (series float) A value equivelent to the percentage of body size to the overall candle size midBody() returns the price of the mid-point of the candle body   Returns: (series float) A value equivelent to the center point of the distance bewteen the body low and the body high bodyupGap() returns true if there is a gap up between the real body of the current candle in relation to the candle prior   Returns: (series bool) true if there is a gap up and no overlap in the real bodies of the current candle and the preceding candle bodydwnGap() returns true if there is a gap down between the real body of the current candle in relation to the candle prior   Returns: (series bool) true if there is a gap down and no overlap in the real bodies of the current candle and the preceding candle gapUp() returns true if there is a gap down between the real body of the current candle in relation to the candle prior   Returns: (series bool) true if there is a gap down and no overlap in the real bodies of the current candle and the preceding candle gapDwn() returns true if there is a gap down between the real body of the current candle in relation to the candle prior   Returns: (series bool) true if there is a gap down and no overlap in the real bodies of the current candle and the preceding candle dojiBody() returns true if the candle body is a doji   Returns: (series bool) true if the candle body is a doji. Defined by a body that is 5% of total candle size
Pine Script® Bibliothek
von Bjorgum
63
sar_taLevel: 3 Background The Parabolic SAR is a technical indicator developed by J. Welles Wilder to determine the direction that an asset is moving. The indicator is also referred to as a stop and reverse system, which is abbreviated as SAR. It aims to identify potential reversals in the price movement of traded assets. PINE v5 Version of SAR Library, which includes latest the Supertrend, Parabolic SAR, Gann Hilo activator, Chex indicators etc. Function This lib provides functions similar to SAR which can serve as a similar element for composite strategy. Parameters need to be tuned for the best performance and I will further inrish this collections. Bonus, If you can propose me a novel SAR source link, I would like to grant you one L4/L5 indicator with 2-month subscription for free. Library "sar_ta" tv_sar() lucid_sar() gl_activator() ltb_sar() chanex() bjorgum_sar()
Pine Script® Bibliothek
von blackcat1402
4
Pivots libraryLibrary "Pivots" TODO: add library description here pivots(_type, _open, _high, _low, _clsoe) Calculates the pivot point and returns its value.   Parameters:      _type : Specifies the type of pivot point.      _open : The open price      _high : The high price      _low : The low price      _clsoe : The close price   Returns: Returns the value of the calculated pivot point as a tuple. cpr(_high, _low, _clsoe) Calculate the Central Pivot Range   Parameters:      _high : The high price      _low : The low price      _clsoe : The close price   Returns: Returns the values as a tuple. htf_ohlc(_htf) Calculate the HTF values   Parameters:      _htf : Resolution   Returns: Returns the values as a tuple.
Pine Script® Bibliothek
von boitoki
12
Ehlers_Super_SmootherThe 2 Pole and 3 Pole Super Smoother Filters were developed by John Ehlers and described in "Chapter 13: Super Smother" of his book Cybernetic Analysis for Stocks and Futures . The 2 Pole Smoother is described as being a better approximation of price, whereas the 3 Pole Smoother has superior smoothing. Library "Ehlers_Super_Smoother" Provides the functions to calculate Double and Triple Exponentional Moving Averages (DEMA & TEMA) twoPole(_source, _length) Calculates 2 Pole Ehlers Super Smoother Filter   Parameters:      _source : -> Open, Close, High, Low, etc ('close' is used if no argument is supplied)      _length : -> Ehlers Super Smoother length   Returns: 2 Pole Ehlers Super Smoothing to an input source at the specified input length threePole(_source, _length) Calculates 3 Pole Ehlers Super Smoother Filter   Parameters:      _source : -> Open, Close, High, Low, etc ('close' is used if no argument is supplied)      _length : -> Ehlers Super Smoother length   Returns: 3 Pole Ehlers Super Smoothing to an input source at the specified input length
Pine Script® Bibliothek
von KevanoTrades
2
pandas_taLibrary "pandas_ta" Level: 3 Background Today is the first day of 2022 and happy new year every tradingviewers! May health and wealth go along with you all the time. I use this chance to publish my 1st PINE v5 lib : pandas_ta This is not a piece of cake like thing, which cost me a lot of time and efforts to build this lib. Beyond 300 versions of this script was iterated in draft. Function Library "pandas_ta" PINE v5 Counterpart of Pandas TA - A Technical Analysis Library in Python 3 at github.com The Original Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas package with more than 130 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns. I realized most of indicators except Candlestick Patterns because tradingview built-in Candlestick Patterns are even more powerful! I use this to verify pandas_ta python version indicators for myself, but I realize that maybe many may need similar lib for pine v5 as well. Function Brief Descriptions (Pls find details in script comments) bton --> Binary to number wcp --> Weighted Closing Price (WCP) counter --> Condition counter xbt --> Between ebsw --> Even Better SineWave (EBSW) ao --> Awesome Oscillator (AO) apo --> Absolute Price Oscillator (APO) xrf --> Dynamic shifted values bias --> Bias (BIAS) bop --> Balance of Power (BOP) brar --> BRAR (BRAR) cci --> Commodity Channel Index (CCI) cfo --> Chande Forcast Oscillator (CFO) cg --> Center of Gravity (CG) cmo --> Chande Momentum Oscillator (CMO) coppock --> Coppock Curve (COPC) cti --> Correlation Trend Indicator (CTI) dmi --> Directional Movement Index(DMI) er --> Efficiency Ratio (ER) eri --> Elder Ray Index (ERI) fisher --> Fisher Transform (FISHT) inertia --> Inertia (INERTIA) kdj --> KDJ (KDJ) kst --> 'Know Sure Thing' (KST) macd --> Moving Average Convergence Divergence (MACD) mom --> Momentum (MOM) pgo --> Pretty Good Oscillator (PGO) ppo --> Percentage Price Oscillator (PPO) psl --> Psychological Line (PSL) pvo --> Percentage Volume Oscillator (PVO) qqe --> Quantitative Qualitative Estimation (QQE) roc --> Rate of Change (ROC) rsi --> Relative Strength Index (RSI) rsx --> Relative Strength Xtra (rsx) rvgi --> Relative Vigor Index (RVGI) slope --> Slope smi --> SMI Ergodic Indicator (SMI) sqz* --> Squeeze (SQZ) * NOTE: code sufferred from very strange error, code was commented. sqz_pro --> Squeeze PRO(SQZPRO) xfl --> Condition filter stc --> Schaff Trend Cycle (STC) stoch --> Stochastic (STOCH) stochrsi --> Stochastic RSI (STOCH RSI) trix --> Trix (TRIX) tsi --> True Strength Index (TSI) uo --> Ultimate Oscillator (UO) willr --> William's Percent R (WILLR) alma --> Arnaud Legoux Moving Average (ALMA) xll --> Dynamic rolling lowest values dema --> Double Exponential Moving Average (DEMA) ema --> Exponential Moving Average (EMA) fwma --> Fibonacci's Weighted Moving Average (FWMA) hilo --> Gann HiLo Activator(HiLo) hma --> Hull Moving Average (HMA) hwma --> HWMA (Holt-Winter Moving Average) ichimoku --> Ichimoku Kinkō Hyō (ichimoku) jma --> Jurik Moving Average Average (JMA) kama --> Kaufman's Adaptive Moving Average (KAMA) linreg --> Linear Regression Moving Average (linreg) mgcd --> McGinley Dynamic Indicator rma --> wildeR's Moving Average (RMA) sinwma --> Sine Weighted Moving Average (SWMA) ssf --> Ehler's Super Smoother Filter (SSF) © 2013 supertrend --> Supertrend (supertrend) xsa --> X simple moving average swma --> Symmetric Weighted Moving Average (SWMA) t3 --> Tim Tillson's T3 Moving Average (T3) tema --> Triple Exponential Moving Average (TEMA) trima --> Triangular Moving Average (TRIMA) vidya --> Variable Index Dynamic Average (VIDYA) vwap --> Volume Weighted Average Price (VWAP) vwma --> Volume Weighted Moving Average (VWMA) wma --> Weighted Moving Average (WMA) zlma --> Zero Lag Moving Average (ZLMA) entropy --> Entropy (ENTP) kurtosis --> Rolling Kurtosis skew --> Rolling Skew xev --> Condition all zscore --> Rolling Z Score adx --> Average Directional Movement (ADX) aroon --> Aroon & Aroon Oscillator (AROON) chop --> Choppiness Index (CHOP) xex --> Condition any cksp --> Chande Kroll Stop (CKSP) dpo --> Detrend Price Oscillator (DPO) long_run --> Long Run psar --> Parabolic Stop and Reverse (psar) short_run --> Short Run vhf --> Vertical Horizontal Filter (VHF) vortex --> Vortex accbands --> Acceleration Bands (ACCBANDS) atr --> Average True Range (ATR) bbands --> Bollinger Bands (BBANDS) donchian --> Donchian Channels (DC) kc --> Keltner Channels (KC) massi --> Mass Index (MASSI) natr --> Normalized Average True Range (NATR) pdist --> Price Distance (PDIST) rvi --> Relative Volatility Index (RVI) thermo --> Elders Thermometer (THERMO) ui --> Ulcer Index (UI) ad --> Accumulation/Distribution (AD) cmf --> Chaikin Money Flow (CMF) efi --> Elder's Force Index (EFI) ecm --> Ease of Movement (EOM) kvo --> Klinger Volume Oscillator (KVO) mfi --> Money Flow Index (MFI) nvi --> Negative Volume Index (NVI) obv --> On Balance Volume (OBV) pvi --> Positive Volume Index (PVI) dvdi --> Dual Volume Divergence Index (DVDI) xhh --> Dynamic rolling highest values pvt --> Price-Volume Trend (PVT) Remarks I also incorporated func descriptions and func test script in commented mode, you can test the functino with the embedded test script and modify them as you wish. This is a Level 3 free and open source indicator library. Feedbacks are appreciated. This is not the end of pandas_ta lib publication, but it is start point with pine v5 lib function and I will add more and more funcs into this lib for my own indicators. Function Name List: bton() wcp() count() xbt() ebsw() ao() apo() xrf() bias() bop() brar() cci() cfo() cg() cmo() coppock() cti() dmi() er() eri() fisher() inertia() kdj() kst() macd() mom() pgo() ppo() psl() pvo() qqe() roc() rsi() rsx() rvgi() slope() smi() sqz_pro() xfl() stc() stoch() stochrsi() trix() tsi() uo() willr() alma() wcx() xll() dema() ema() fwma() hilo() hma() hwma() ichimoku() jma() kama() linreg() mgcd() rma() sinwma() ssf() supertrend() xsa() swma() t3() tema() trima() vidya() vwap() vwma() wma() zlma() entropy() kurtosis() skew() xev() zscore() adx() aroon() chop() xex() cksp() dpo() long_run() psar() short_run() vhf() vortex() accbands() atr() bbands() donchian() kc() massi() natr() pdist() rvi() thermo() ui() ad() cmf() efi() ecm() kvo() mfi() nvi() obv() pvi() dvdi() xhh() pvt()
Pine Script® Bibliothek
von blackcat1402
20
TimeLockedMALibrary "TimeLockedMA" Library & function(s) which generates a moving average that stays locked to users desired time preference. TODO - Add functionality for more moving average types. IE: smooth, weighted etc... Example: time_locked_ma(close, length=1, timeframe='days', type='ema') Will generate a 1 day exponential moving average that will stay consistent across all chart intervals. Error Handling On small time frames with large moving averages (IE: 1min chart with a 50 week moving average), you'll get a study error that says "(function "sma") references too many candles in history" . To fix this, make sure you have timeframe="" as an indicator() header. Next, in the indicator settings, increase the timeframe from to a higher interval until the error goes away. By default, it's set to "Chart". Bringing the interval up to 1hr will usually solve the issue. Furthermore, adding timeframe_gaps=false to your indicator() header will give you an approximation of real-time values. Misc Info For time_lock_ma() setting type='na' will return the relative length value that adjusts dynamically to user's chart time interval. This is good for plugging into other functions where a lookback or length is required. (IE: Bollinger Bands) time_locked_ma(source, length, timeframe, type) Creates a moving average that is locked to a desired timeframe   Parameters:      source : float, Moving average source      length : int, Moving average length      timeframe : string, Desired timeframe. Use: "minutes", "hours", "days", "weeks", "months", "chart"      type : string, string Moving average type. Use "SMA" (default) or "EMA". Value of "NA" will return relative lookback length.   Returns: moving average that is locked to desired timeframe. timeframe_convert(t, a, b) Converts timeframe to desired timeframe. From a --> b   Parameters:      t : int, Time interval      a : string, Time period      b : string, Time period to convert to   Returns: Converted timeframe value chart_time(timeframe_period, timeframe_multiplier) Separates timeframe.period function and returns chart interval and period   Parameters:      timeframe_period : string, timeframe.period      timeframe_multiplier : int, timeframe.multiplier Enjoy :)
Pine Script® Bibliothek
von JBroadway
2
VolatilityCheckerLibrary "VolatilityChecker" Volatility is judged to be high when the range of one period is greater than the ATR of another period. is_high(_periods, _smooth, _atr_periods, _atr_times) Return true if the volatility is high.   Parameters:      _periods : Range Period      _smooth : Smoothes the range width.      _atr_periods : ATR Period      _atr_times : Amplify the calculated ATR.   Returns: {Boolean} is_low()
Pine Script® Bibliothek
von boitoki
eHarmonicpatternsLibrary "eHarmonicpatterns" Library provides an alternative method to scan harmonic patterns. This is helpful in reducing iterations scan_xab(bcdRatio, err_min, err_max, patternArray) Checks if bcd ratio is in range of any harmonic pattern   Parameters:      bcdRatio : AB/XA ratio      err_min : minimum error threshold      err_max : maximum error threshold      patternArray : Array containing pattern check flags. Checks are made only if flags are true. Upon check flgs are overwritten. scan_abc_axc(abcRatio, axcRatio, err_min, err_max, patternArray) Checks if abc or axc ratio is in range of any harmonic pattern   Parameters:      abcRatio : BC/AB ratio      axcRatio : XC/AX ratio      err_min : minimum error threshold      err_max : maximum error threshold      patternArray : Array containing pattern check flags. Checks are made only if flags are true. Upon check flgs are overwritten. scan_bcd(bcdRatio, err_min, err_max, patternArray) Checks if bcd ratio is in range of any harmonic pattern   Parameters:      bcdRatio : CD/BC ratio      err_min : minimum error threshold      err_max : maximum error threshold      patternArray : Array containing pattern check flags. Checks are made only if flags are true. Upon check flgs are overwritten. scan_xad_xcd(xadRatio, xcdRatio, err_min, err_max, patternArray) Checks if xad or xcd ratio is in range of any harmonic pattern   Parameters:      xadRatio : AD/XA ratio      xcdRatio : CD/XC ratio      err_min : minimum error threshold      err_max : maximum error threshold      patternArray : Array containing pattern check flags. Checks are made only if flags are true. Upon check flgs are overwritten. isHarmonicPattern(x, a, c, c, d, flags, errorPercent) Checks for harmonic patterns   Parameters:      x : X coordinate value      a : A coordinate value      c : B coordinate value      c : C coordinate value      d : D coordinate value      flags : flags to check patterns. Send empty array to enable all      errorPercent : Error threshold   Returns: Array of boolean values which says whether valid pattern exist and array of corresponding pattern names isHarmonicProjection(x, a, c, c, flags, errorPercent) Checks for harmonic pattern projection   Parameters:      x : X coordinate value      a : A coordinate value      c : B coordinate value      c : C coordinate value      flags : flags to check patterns. Send empty array to enable all      errorPercent : Error threshold   Returns: Array of boolean values which says whether valid pattern exist and array of corresponding pattern names
Pine Script® Bibliothek
von Trendoscope
11