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TS_FFALibrary "TS_FFA" Splits the ticker and generates best configs for FP and PP splitter(x) Splits the ticker and found the configuration regarding to name.   Parameters:     _x: ticker   Returns: Fib and Profit percent values - Splitter had been added. - USDTPERP coins on Binance had been added - timeFrameMultiplier() timeframe multiplier had been added to the library - timeframe period value fixed - Changed timezone multiplier - Changed VWMA Percent values
Pine Script®腳本庫
由emreyavuz84提供
bytimeLibrary "bytime" TODO: to do something at the specified time. ////Return =>> ht = hour , mt = minute , st = second ,Dt = Day, Mt = month, Yt = year , dateTime = full time format.///////////// Note : Remember to always add import when you call our library and change Gtime() to Timeset.Gtime() is used to access internal data. import hapharmonic/bytime/1 as Timeset =Timeset.Gtime() /////////////Set a time to trigger an alert.///////////// ck = false ///hour : minute : second if ht == TH and mt == TM and st == TS //some action //... //. ck := true Gtime()
Pine Script®腳本庫
由hapharmonic提供
2
[e2] Drawing Library :: Horizontal Ray█ OVERVIEW Library "e2hray" A drawing library that contains the hray() function, which draws a horizontal ray/s with an initial point determined by a specified condition. It plots a ray until it reached the price. The function let you control the visibility of historical levels and setup the alerts. █ HORIZONTAL RAY FUNCTION hray(condition, level, color, extend, hist_lines, alert_message, alert_delay, style, hist_style, width, hist_width)   Parameters:      condition : Boolean condition that defines the initial point of a ray      level : Ray price level.      color : Ray color.      extend : (optional) Default value true, current ray levels extend to the right, if false - up to the current bar.      hist_lines : (optional) Default value true, shows historical ray levels that were revisited, default is dashed lines. To avoid alert problems set to 'false' before creating alerts.      alert_message : (optional) Default value string(na), if declared, enables alerts that fire when price revisits a line, using the text specified      alert_delay : (optional) Default value int(0), number of bars to validate the level. Alerts won't trigger if the ray is broken during the 'delay'.      style : (optional) Default value 'line.style_solid'. Ray line style.      hist_style : (optional) Default value 'line.style_dashed'. Historical ray line style.      width : (optional) Default value int(1), ray width in pixels.      hist_width : (optional) Default value int(1), historical ray width in pixels.   Returns: void █ EXAMPLES  • Example 1. Single horizontal ray from the dynamic input. //@version=5 indicator("hray() example :: Dynamic input ray", overlay = true) import e2e4mfck/e2hray/1 as e2draw inputTime = input.time(timestamp("20 Jul 2021 00:00 +0300"), "Date", confirm = true) inputPrice = input.price(54, 'Price Level', confirm = true) e2draw.hray(time == inputTime, inputPrice, color.blue, alert_message = 'Ray level re-test!') var label mark = label.new(inputTime, inputPrice, 'Selected point to start the ray', xloc.bar_time)  • Example 2. Multiple horizontal rays on the moving averages cross. //@version=5 indicator("hray() example :: MA Cross", overlay = true) import e2e4mfck/e2hray/1 as e2draw float sma1 = ta.​sma​(close, 20) float sma2 = ta.​sma​(close, 50) bullishCross = ta.crossover( sma1, sma2) bearishCross = ta.crossunder(sma1, sma2) plot(sma1, 'sma1', color.purple) plot(sma2, 'sma2', color.blue) // 1a. We can use 2 function calls to distinguish long and short sides. e2draw.hray(bullishCross, sma1, color.green, alert_message = 'Bullish Cross Level Broken!', alert_delay = 10) e2draw.hray(bearishCross, sma2, color.red, alert_message = 'Bearish Cross Level Broken!', alert_delay = 10) // 1b. Or a single call for both. // e2draw.hray(bullishCross or bearishCross, sma1, bullishCross ? color.green : color.red)  • Example 3. Horizontal ray at the all time highs with an alert. //@version=5 indicator("hray() example :: ATH", overlay = true) import e2e4mfck/e2hray/1 as e2draw var float ​ath​ = 0, ​ath​ := math.max(high, ​ath​) bool newAth = ta.change(​ath​) e2draw.hray(​nz​(newAth ), high , color.orange, alert_message = 'All Time Highs Tested!', alert_delay = 10)
Pine Script®腳本庫
由e2e4提供
17
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®腳本庫
由TheBacktestGuy提供
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®腳本庫
由Trendoscope提供
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®腳本庫
由blackcat1402提供
5
ArrayOperationsLibrary "ArrayOperations" Array element wise basic operations. add(sample_a, sample_b) Adds sample_b to sample_a and returns a new array.   Parameters:      sample_a : values to be added to.      sample_b : values to add.   Returns: array with added results. - sample_a provides type format for output. - arrays do not need to be symmetric. - sample_a must have same or more elements than sample_b subtract(sample_a, sample_b) Subtracts sample_b from sample_a and returns a new array.      sample_a : values to be subtracted from.      sample_b : values to subtract.   Returns: array with subtracted results. - sample_a provides type format for output. - arrays do not need to be symmetric. - sample_a must have same or more elements than sample_b multiply(sample_a, sample_b) multiply sample_a by sample_b and returns a new array.      sample_a : values to multiply.      sample_b : values to multiply with.   Returns: array with multiplied results. - sample_a provides type format for output. - arrays do not need to be symmetric. - sample_a must have same or more elements than sample_b divide(sample_a, sample_b) Divide sample_a by sample_b and returns a new array.      sample_a : values to divide.      sample_b : values to divide with.   Returns: array with divided results. - sample_a provides type format for output. - arrays do not need to be symmetric. - sample_a must have same or more elements than sample_b power(sample_a, sample_b) power sample_a by sample_b and returns a new array.      sample_a : values to power.      sample_b : values to power with.   Returns: float array with power results. - sample_a provides type format for output. - arrays do not need to be symmetric. - sample_a must have same or more elements than sample_b remainder(sample_a, sample_b) Remainder sample_a by sample_b and returns a new array.      sample_a : values to remainder.      sample_b : values to remainder with.   Returns: array with remainder results. - sample_a provides type format for output. - arrays do not need to be symmetric. - sample_a must have same or more elements than sample_b equal(sample_a, sample_b) Check element wise sample_a equals sample_b and returns a new array.      sample_a : values to check.      sample_b : values to check.   Returns: int array with results. - sample_a provides type format for output. - arrays do not need to be symmetric. - sample_a must have same or more elements than sample_b not_equal(sample_a, sample_b) Check element wise sample_a not equals sample_b and returns a new array.      sample_a : values to check.      sample_b : values to check.   Returns: int array with results. - sample_a provides type format for output. - arrays do not need to be symmetric. - sample_a must have same or more elements than sample_b over_or_equal(sample_a, sample_b) Check element wise sample_a over or equals sample_b and returns a new array.      sample_a : values to check.      sample_b : values to check.   Returns: int array with results. - sample_a provides type format for output. - arrays do not need to be symmetric. - sample_a must have same or more elements than sample_b under_or_equal(sample_a, sample_b) Check element wise sample_a under or equals sample_b and returns a new array.      sample_a : values to check.      sample_b : values to check.   Returns: int array with results. - sample_a provides type format for output. - arrays do not need to be symmetric. - sample_a must have same or more elements than sample_b over(sample_a, sample_b) Check element wise sample_a over sample_b and returns a new array.      sample_a : values to check.      sample_b : values to check.   Returns: int array with results. - sample_a provides type format for output. - arrays do not need to be symmetric. - sample_a must have same or more elements than sample_b under(sample_a, sample_b) Check element wise sample_a under sample_b and returns a new array.      sample_a : values to check.      sample_b : values to check.   Returns: int array with results. - sample_a provides type format for output. - arrays do not need to be symmetric. - sample_a must have same or more elements than sample_b and_(sample_a, sample_b) Check element wise sample_a and sample_b and returns a new array.      sample_a : values to check.      sample_b : values to check.   Returns: int array with results. - sample_a provides type format for output. - arrays do not need to be symmetric. - sample_a must have same or more elements than sample_b or_(sample_a, sample_b) Check element wise sample_a or sample_b and returns a new array.      sample_a : values to check.      sample_b : values to check.   Returns: int array with results. - sample_a provides type format for output. - arrays do not need to be symmetric. - sample_a must have same or more elements than sample_b all(sample) Check element wise if all numeric samples are true (!= 0).      sample : values to check.   Returns: int. any(sample) Check element wise if any numeric samples are true (!= 0).      sample : values to check.   Returns: int.
Pine Script®腳本庫
由RicardoSantos提供
5
Logger Library For Pinescript (Logging and Debugging)Library "LoggerLib" This is a logging library for Pinescript. It is aimed to help developers testing and debugging scripts with a simple to use logger function. Pinescript lacks a native logging implementation. This library would be helpful to mitigate this insufficiency. This library uses table to print outputs into its view. It is simple, customizable and robust. You can start using it's .log() method just like any other logging method in other languages. ////////////////// USAGE ////////////////// -- Recommended: Please Read The Documentation From Source Code Below. It Is Much More Readable There And Will Be Updated Along With Newer Versions. -- Importing the Library --------------------- import paragjyoti2012/LoggerLib/ as Logger .init() : Initializes the library and returns the logger pointer. (Later will be used as a function parameter) .initTable: Initializes the Table View for the Logger and returns the table id. (Later will be used as a function parameter) parameters: logger: The logger pointer got from .init() max_rows_count: Number of Rows to display in the Logger Table (default is 10) offset: The offset value for the rows (Used for scrolling the view) position: Position of the Table View Values could be: left right top-right (default is left) size: Font Size of content Values could be: small normal large (default is small) hide_date: Whether to hide the Date/Time column in the Logger (default is false) returns: Table example usage of .initTable() import paragjyoti2012/LoggerLib/1 as Logger var logger=Logger.init() var logTable=Logger.initTable(logger, max_rows_count=20, offset=0, position="top-right") ------------------- LOGGING ------------------- .log() : Logging Method params: (string message, |string| logger, table table_id, string type="message") logger: pass the logger pointer from .init() table_id: pass the table pointer from .initTable() message: The message to log type: Type of the log message Values could be: message warning error info success (default is message) returns: void /////////////////////////////////////// Full Boilerplate For Using In Indicator /////////////////////////////////////// P.S: Change the | (pipe) character into square brackets while using in script (or copy it from the source code instead) offset=input.int(0,"Offset",minval=0) size=input.string("small","Font Size",options=|"normal","small","large"|) rows=input.int(15,"No Of Rows") position=input.string("left","Position",options=|"left","right","top-right"|) hide_date=input.bool(false,"Hide Time") import paragjyoti2012/LoggerLib/1 as Logger var logger=Logger.init() var logTable=Logger.initTable(logger,rows,offset,position,size,hide_date) rsi=ta.rsi(close,14) |macd,signal,hist|=ta.macd(close,12,26,9) if(ta.crossunder(close,34000)) Logger.log("Dropped Below 34000",logger,logTable,"warning") if(ta.crossunder(close,35000)) Logger.log("Dropped Below 35000",logger,logTable) if(ta.crossover(close,38000)) Logger.log("Crossed 38000",logger,logTable,"info") if(ta.crossunder(rsi,20)) Logger.log("RSI Below 20",logger,logTable,"error") if(ta.crossover(macd,signal)) Logger.log("Macd Crossed Over Signal",logger,logTable) if(ta.crossover(rsi,80)) Logger.log("RSI Above 80",logger,logTable,"success") //////////////////////////// // For Scrolling the Table View //////////////////////////// There is a subtle way of achieving nice scrolling behaviour for the Table view. Open the input properties panel for the table/indicator. Focus on the input field for "Offset", once it's focused, you could use your mouse scroll wheel to increment/decrement the offset values; It will smoothly scroll the Logger Table Rows as well. ///////////////////// For any assistance using this library or reporting issues, please write in the comment section below. I will try my best to guide you and update the library. Thanks :) /////////////////////
Pine Script®腳本庫
由CyberMensch提供
21
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®腳本庫
由blackcat1402提供
1
FunctionPatternDecompositionLibrary "FunctionPatternDecomposition" Methods for decomposing price into common grid/matrix patterns. series_to_array(source, length) Helper for converting series to array.   Parameters:      source : float, data series.      length : int, size.   Returns: float array. smooth_data_2d(data, rate) Smooth data sample into 2d points.   Parameters:      data : float array, source data.      rate : float, default=0.25, the rate of smoothness to apply.   Returns: tuple with 2 float arrays. thin_points(data_x, data_y, rate) Thin the number of points.   Parameters:      data_x : float array, points x value.      data_y : float array, points y value.      rate : float, default=2.0, minimum threshold rate of sample stdev to accept points.   Returns: tuple with 2 float arrays. extract_point_direction(data_x, data_y) Extract the direction each point faces.   Parameters:      data_x : float array, points x value.      data_y : float array, points y value.   Returns: float array. find_corners(data_x, data_y, rate) ...   Parameters:      data_x : float array, points x value.      data_y : float array, points y value.      rate : float, minimum threshold rate of data y stdev.   Returns: tuple with 2 float arrays. grid_coordinates(data_x, data_y, m_size) transforms points data to a constrained sized matrix format.   Parameters:      data_x : float array, points x value.      data_y : float array, points y value.      m_size : int, default=10, size of the matrix.   Returns: flat 2d pseudo matrix.
Pine Script®腳本庫
由RicardoSantos提供
3