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WaddahAttarExplosionLibrary "WaddahAttarExplosion" wae(sensitivity, macdFastEMALength, macdSlowEMALength, bbChannelLength, bbStdevMultiplier, refHigh, refLow, refClose) Returns the Waddah Attar Uptrend, Downtrend, Explosion Line and Dead zone   Parameters:      sensitivity : simple float multiplicator for trend line calculation from macd      macdFastEMALength : simple int length for macd fast line      macdSlowEMALength : simple int length for macd slow line      bbChannelLength : simple int length for calculating the bb channel (for std deviation)      bbStdevMultiplier : simple float multiplier to increace bb std deviation      refHigh : series float optional if you want to use another timeframe or symbol, pass it's 'high' series here      refLow : series float optional if you want to use another timeframe or symbol, pass it's 'low' series here      refClose : series float optional if you want to use another timeframe or symbol, pass it's 'close' series here   Returns:
Pine Script™ kitaplığı
robbatt tarafından
1
ATRStopLossFinderLibrary "ATRStopLossFinder" Average True Range Stop Loss Finder credits to www.tradingview.com for the initial version stopLossFinder(length, smoothing, multiplier, refHigh, refLow, refClose) Returns the stop losses for an entry on this candle, depending on the ATR   Parameters:      length : simple int optional to select the lookback amount of candles      smoothing : string optional to select the averaging method, options=      multiplier : simple float optional if you want to tweak the speed the trend changes.      refHigh : series float optional if you want to use another timeframe or symbol, pass it's 'high' series here      refLow : series float optional if you want to use another timeframe or symbol, pass it's 'low' series here      refClose : series float optional if you want to use another timeframe or symbol, pass it's 'close' series here   Returns: series float stopLossLong, series float stopLossShort, series float atr
Pine Script™ kitaplığı
robbatt tarafından
AbdulLibraryLibrary "AbdulLibrary" The library consists of three sections: Technical Analysis Functions - A collection of tools commonly used by day traders Trading Setup Filters Functions - A number of filters that help day traders to screen trading signals Candlestick Pattern Detection Functions - To detect different candlestick patterns that are used in day trading setups Note that this would have been possible without the help of @ZenAndTheArtOfTrading as I build-up this library after completing his pine script mastery course so big thanks to him The content of the library are:- fibLevels(preDayClose, preDayHigh, preDayLow) Calculates Daily Pivot Point and Fibonacci Key Levels   Parameters:      preDayClose : The previous day candle close      preDayHigh : The previous day candle high      preDayLow : The previous day candle low   Returns: Returns Daily Pivot Point and Fibonacci Key Levels as a tuple bullishFib(canHigh, canLow, fibLevel) Calculates Fibonacci Levels in Bullish move   Parameters:      canHigh : The high of the move      canLow : The low of the move      fibLevel : The Fib level as % you want to calculate   Returns: Returns The Fib level for the Bullish move bearishFib(canHigh, canLow, fibLevel) Calculates Fibonacci Levels in Bearish move   Parameters:      canHigh : The high of the move      canLow : The low of the move      fibLevel : The Fib level as % you want to calculate   Returns: Returns The Fib level for the Bearish move getCandleSize() Calculates the size of candle (high - low) in points   Returns: Returns candle size in points getCandleBodySize() Calculates the size of candle (close - open) in points   Returns: Returns candle body size in points getHighWickSize() Calculates the high wick size of candle in points   Returns: Returns The high wick size of candle in points getLowWickSize() Calculates the low wick size of candle in points   Returns: Returns The low wick size of candle in points getBodyPercentage() Calculates the candle body size as % of overall candle size   Returns: Returns The candle body size as % of overall candle size isSwingHigh(period) Checks if the price has created new swing high over a period of time   Parameters:      period : The lookback time we want to check for swing high   Returns: Returns True if the current candle or the previous candle is a swing high isSwingLow(period) Checks if the price has created new swing low over a period of time   Parameters:      period : The lookback time we want to check for swing low   Returns: Returns True if the current candle or the previous candle is a swing low isDojiSwingHigh(period) Checks if a doji is a swing high over a period of time   Parameters:      period : The lookback time we want to check for swing high   Returns: Returns True if the doji is a swing high isDojiSwingLow(period) Checks if a doji is a swing low over a period of time   Parameters:      period : The lookback time we want to check for swing low   Returns: Returns True if the doji is a swing low isBigBody(atrFilter, atr, candleBodySize, multiplier) Checks if a candle has big body compared to ATR   Parameters:      atrFilter : Check if user wants to use ATR to filter candle-setup signals      atr : The ATR value to be used to compare candle body size      candleBodySize : The candle body size      multiplier : The multiplier to be used to compare candle body size   Returns: Returns Boolean true if the candle setup is big isSmallBody(atrFilter, atr, candleBodySize, multiplier) Checks if a candle has small body compared to ATR   Parameters:      atrFilter : Check if user wants to use ATR to filter candle-setup signals      atr : The ATR value to be used to compare candle body size      candleBodySize : The candle body size      multiplier : The multiplier to be used to compare candle body size   Returns: Returns Boolean true if the candle setup is small isHammer(fibLevel, colorMatch) Checks if a candle is a hammer based on user input parameters and candle conditions   Parameters:      fibLevel : Fib level to base candle body on      colorMatch : Checks if user needs for the candel to be green   Returns: Returns Boolean - True if the candle setup is hammer isShootingStar(fibLevel, colorMatch) Checks if a candle is a shooting star based on user input parameters and candle conditions   Parameters:      fibLevel : Fib level to base candle body on      colorMatch : Checks if user needs for the candel to be red   Returns: Returns Boolean - True if the candle setup is star isBullEngCan(allowance, period) Check if a candle is a bullish engulfing candle   Parameters:      allowance : How many points the candle open is allowed to be off (To allow for gaps)      period : The lookback period for swing low check   Returns: Boolean - True only if the candle is a bullish engulfing candle isBearEngCan(allowance, period) Check if a candle is a bearish engulfing candle   Parameters:      allowance : How many points the candle open is allowed to be off (To allow for gaps)      period : The lookback period for swing high check   Returns: Boolean - True only if the candle is a bearish engulfing candle isBullDoji(maxSize, wickLimit, colorFilter) Check if a candle is a bullish doji candle   Parameters:      maxSize : Maximum candle body size as % of total candle size to be considered as doji      wickLimit : Maximum wick size of one wick compared to the other wick      colorFilter : Checks if the doji is green   Returns: Boolean - True if the candle is a bullish doji isBearDoji(maxSize, wickLimit, colorFilter) Check if a candle is a bearish doji candle   Parameters:      maxSize : Maximum candle body size as % of total candle size to be considered as doji      wickLimit : Maximum wick size of one wick compared to the other wick      colorFilter : Checks if the doji is red   Returns: Boolean - True if the candle is a bearish doji isBullOutBar() Check if a candle is a bullish outside bar   Returns: Boolean - True if the candle is a bullish outside bar isInsideBar() Check if a candle is an inside bar   Returns: Returns Boolean - True if a candle is an inside bar
Pine Script™ kitaplığı
Abdul_Saif tarafından
1
PivotsLibrary "Pivots" This Library focuses in functions related to pivot highs and lows and some of their applications (i.e. divergences, zigzag, harmonics, support and resistance...) pivots(srcH, srcL, length) Delivers series of pivot highs, lows and zigzag.   Parameters:      srcH : Source series to look for pivot highs. Stricter applications might source from 'close' prices. Oscillators are also another possible source to look for pivot highs and lows. By default 'high'      srcL : Source series to look for pivot lows. By default 'low'      length : This value represents the minimum number of candles between pivots. The lower the number, the more detailed the pivot profile. The higher the number, the more relevant the pivots. By default 10   Returns: zigzagArray(pivotHigh, pivotLow) Delivers a Zigzag series based on alternating pivots. Ocasionally this line could paint a few consecutive lows or highs without alternating. That happens because it's finding a few consecutive Higher Highs or Lower Lows. If to use lines entities instead of series, that could be easily avoided. But in this one, I'm more interested outputting series rather than painting/deleting line entities.   Parameters:      pivotHigh : Pivot high series      pivotLow : Pivot low series   Returns: zigzagLine(srcH, srcL, colorLine, widthLine) Delivers a Zigzag based on line entities.   Parameters:      srcH : Source series to look for pivot highs. Stricter applications might source from 'close' prices. Oscillators are also another possible source to look for pivot highs and lows. By default 'high'      srcL : Source series to look for pivot lows. By default 'low'      colorLine : Color of the Zigzag Line. By default Fuchsia      widthLine : Width of the Zigzag Line. By default 4   Returns: Zigzag printed on screen divergence(h2, l2, h1, l1, length) Calculates divergences between 2 series   Parameters:      h2 : Series in which to locate divs: Highs      l2 : Series in which to locate divs: Lows      h1 : Series in which to locate pivots: Highs. By default high      l1 : Series in which to locate pivots: Lows. By default low      length : Length used to calculate Pivots: By default 10   Returns:
Pine Script™ kitaplığı
gliderfund tarafından
2
Common FunctionsLibrary "CommonFunctions" This Library provides some handy functions commonly used in Pine Script. crosses(source1, offset1, source2, offset2) Checks the existance of crosses between the series   Parameters:      source1 : First series      offset1 : (Optional) Offset of First series. By default 0      source2 : (Optional) Second series. By default 'close' price      offset2 : (Optional) Offset of Second series. By default 0   Returns: marketState(source1, offset1, source2, offset2) Determines Bullish/Bearish state according to the relative position between the series.   Parameters:      source1 : Active series used to determine bullish/bearish states.      offset1 : (Optional) Offset of First series. By default 0.      source2 : (Optional) Second series. By default 'close' price.      offset2 : (Optional) Offset of Second series. By default 0.   Returns: histProfile(source) Histogram profiling   Parameters:      source : Histogram series   Returns: srcSelect(showSrc1, src1, showSrc2, src2) Selects the appropiate source. If multiple sources are activated simultaneously, the order within the switch clause prevails. The first one activated is the one being output.   Parameters:      showSrc1 : Boolean controlling the activation of Source #1.      src1 : Source #1.      showSrc2 : Boolean controlling the activation of Sources #2-10. By default 'false'.      src2 : Sources #2-10. By default 'number'.   Returns: Selected source.
Pine Script™ kitaplığı
gliderfund tarafından
MovingAveragesLibraryLibrary "MovingAveragesLibrary" This is a library allowing one to select between many different Moving Average formulas to smooth out any float variable. You can use this library to apply a Moving Average function to any series of data as long as your source is a float. The default application would be for applying Moving Averages onto your chart. However, the scope of this library is beyond that. Any indicator or strategy you are building can benefit from this library. You can apply different types of smoothing and moving average functions to your indicators, momentum oscillators, average true range calculations, support and resistance zones, envelope bands, channels, and anything you can think of to attempt to smooth out noise while finding a delicate balance against lag. If you are developing an indicator, you can use the 'ave_func' to allow your users to select any Moving Average for any function or variable by creating an input string with the following structure: var_name = input.string(, , ) Where the types of Moving Average you would like to be provided would be included in options. Example: i_ma_type = input.string(title = "Moving Average Type", defval = "Hull Moving Average", options = ) Where you would add after options the strings I have included for you at the top of the PineScript for your convenience. Then for the output you desire, simply call 'ave_func' like so: ma = ave_func(source, length, i_ma_type) Now the plotted Moving Average will be the same as what you or your users select from the Input. ema(src, len) Exponential Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: Float value. sma(src, len) Simple Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: Float value. rma(src, len) Relative Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: Float value. wma(src, len) Weighted Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: Float value. dv2(len) Donchian V2 function.   Parameters:      len : Lookback length to use.   Returns: Open + Close / 2 for the selected length. ModFilt(src, len) Modular Filter smoothing function.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: Float value. EDSMA(src, len) Ehlers Dynamic Smoothed Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: EDSMA smoothing. dema(x, t) Double Exponential Moving Average.   Parameters:      x : Series to use ('close' is used if no argument is supplied).      t : Lookback length to use.   Returns: DEMA smoothing. tema(src, len) Triple Exponential Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: TEMA smoothing. smma(x, t) Smoothed Moving Average.   Parameters:      x : Series to use ('close' is used if no argument is supplied).      t : Lookback length to use.   Returns: SMMA smoothing. vwma(x, t) Volume Weighted Moving Average.   Parameters:      x : Series to use ('close' is used if no argument is supplied).      t : Lookback length to use.   Returns: VWMA smoothing. hullma(x, t) Hull Moving Average.   Parameters:      x : Series to use ('close' is used if no argument is supplied).      t : Lookback length to use.   Returns: Hull smoothing. covwma(x, t) Coefficient of Variation Weighted Moving Average.   Parameters:      x : Series to use ('close' is used if no argument is supplied).      t : Lookback length to use.   Returns: COVWMA smoothing. frama(x, t) Fractal Reactive Moving Average.   Parameters:      x : Series to use ('close' is used if no argument is supplied).      t : Lookback length to use.   Returns: FRAMA smoothing. kama(x, t) Kaufman's Adaptive Moving Average.   Parameters:      x : Series to use ('close' is used if no argument is supplied).      t : Lookback length to use.   Returns: KAMA smoothing. donchian(len) Donchian Calculation.   Parameters:      len : Lookback length to use.   Returns: Average of the highest price and the lowest price for the specified look-back period. tma(src, len) Triangular Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: TMA smoothing. VAMA(src, len) Volatility Adjusted Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: VAMA smoothing. Jurik(src, len) Jurik Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: JMA smoothing. MCG(src, len) McGinley smoothing.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: McGinley smoothing. zlema(series, length) Zero Lag Exponential Moving Average.   Parameters:      series : Series to use ('close' is used if no argument is supplied).      length : Lookback length to use.   Returns: ZLEMA smoothing. xema(src, len) Optimized Exponential Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: XEMA smoothing. EhlersSuperSmoother(src, lower) Ehlers Super Smoother.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      lower : Smoothing value to use.   Returns: Ehlers Super smoothing. EhlersEmaSmoother(sig, smoothK, smoothP) Ehlers EMA Smoother.   Parameters:      sig : Series to use ('close' is used if no argument is supplied).      smoothK : Lookback length to use.      smoothP : Smothing value to use.   Returns: Ehlers EMA smoothing. ave_func(in_src, in_len, in_type) Returns the source after running it through a Moving Average function.   Parameters:      in_src : Series to use ('close' is used if no argument is supplied).      in_len : Lookback period to be used for the Moving Average function.      in_type : Type of Moving Average function to use. Must have a string input to select the options from that MUST match the type-casing in the function below.   Returns: The source as a float after running it through the Moving Average function.
Pine Script™ kitaplığı
CrackingCryptocurrency tarafından
7
adx: Configurable ADX (library) Library "adx" Calculate ADX (and its constituent parts +DI, -DI, ATR), using different moving averages and periods. adx(atrMA, diMA, adxMA, atrLen, diLen, adxLen, h, l, c)   Parameters:      atrMA : Moving Average used for calculating the Average True Range. Traditionally RMA, but using SMA here and in adxMA gives good results too.      diMA : Moving Average used for calculating the Directional Index. Traditionally, RMA.      adxMA : Moving Average used for calculating the Average Directional Index. Traditionally RMA, but using SMA here and in atrMA gives good results too.      atrLen : Length of the Average True Range.      diLen : Length of the Directional Index.      adxLen : Length (smoothing) of the Average Directional Index.      h : Candle's high.      l : Candle's low.      c : Candle's close.   Returns:
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t92a4 tarafından
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™ kitaplığı
Trendoscope tarafından
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
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MightyZinger tarafından
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
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smhoma tarafından
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™ kitaplığı
MightyZinger tarafından
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.
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RicardoSantos tarafından
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™ kitaplığı
blackcat1402 tarafından
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™ kitaplığı
TheBacktestGuy tarafından
7
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™ kitaplığı
Trendoscope tarafından
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™ kitaplığı
blackcat1402 tarafından
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™ kitaplığı
blackcat1402 tarafından
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™ kitaplığı
Bjorgum tarafından
62
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™ kitaplığı
blackcat1402 tarafından
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™ kitaplığı
boitoki tarafından
12