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Wave Generator Library (WGL)Library "WaveGenerator" Wave Generator Library max(source)   max   Parameters:      source : is the input to take the maximum.   Returns: foat min(source)   min   Parameters:      source : is the input to take the minimum.   Returns: foat min_max(src, height)   min_max   Parameters:      src : is the input for the min/max      height   Returns: float sine_wave(_wave_height, _wave_duration, _phase_shift, _phase_shift_2)   sine_wave   Parameters:      _wave_height : Maximum output level      _wave_duration : Wave length      _phase_shift : Number of harmonics      _phase_shift_2   Returns: float triangle_wave(_wave_height, _wave_duration, _num_harmonics, _phase_shift)   triangle_wave   Parameters:      _wave_height : Maximum output level      _wave_duration : Wave length      _num_harmonics : Number of harmonics      _phase_shift : Phase shift   Returns: float saw_wave(_wave_height, _wave_duration, _num_harmonics, _phase_shift)   saw_wave   Parameters:      _wave_height : Maximum output level      _wave_duration : Wave length      _num_harmonics : Number of harmonics      _phase_shift : Phase shift   Returns: float ramp_saw_wave(_wave_height, _wave_duration, _num_harmonics, _phase_shift)   ramp_saw_wave   Parameters:      _wave_height : Maximum output level      _wave_duration : Wave length      _num_harmonics : Number of harmonics      _phase_shift : Phase shift   Returns: float square_wave(_wave_height, _wave_duration, _num_harmonics, _phase_shift)   square_wave   Parameters:      _wave_height : Maximum output level      _wave_duration : Wave length      _num_harmonics : Number of harmonics      _phase_shift : Phase shift   Returns: float wave_select(style, _wave_height, _wave_duration, _num_harmonics, _phase_shift)   wave_select @peram style Select the style of wave. "Sine", "Triangle", "Saw", "Ramp Saw", "Square"   Parameters:      style      _wave_height : Maximum output level      _wave_duration : Wave length      _num_harmonics : Number of harmonics      _phase_shift : Phase shift   Returns: float
Pine Script™ kitaplığı
The_Peaceful_Lizard tarafından
CommonTypesMathLibrary "CommonTypesMath" Provides a common library source for common types of useful mathematical structures. Includes: `complex, Vector2, Vector3, Vector4, Quaternion, Segment2, Segment3, Pole, Plane, M32, M44` complex   Representation of a Complex Number, a complex number `z` is a number in the form `z = x + yi`,   Fields:      re : Real part of the complex number.      im : Imaginary part of the complex number. Vector2   Representation of a two dimentional vector with components `(x:float,y:float)`.   Fields:      x : Coordinate `x` of the vector.      y : Coordinate `y` of the vector. Vector3   Representation of a three dimentional vector with components `(x:float,y:float,z:float)`.   Fields:      x : Coordinate `x` of the vector.      y : Coordinate `y` of the vector.      z : Coordinate `z` of the vector. Vector4   Representation of a four dimentional vector with components `(x:float,y:float,z:float,w:float)`.   Fields:      x : Coordinate `x` of the vector.      y : Coordinate `y` of the vector.      z : Coordinate `z` of the vector.      w : Coordinate `w` of the vector. Quaternion   Representation of a four dimentional vector with components `(x:float,y:float,z:float,w:float)`.   Fields:      x : Coordinate `x` of the vector.      y : Coordinate `y` of the vector.      z : Coordinate `z` of the vector.      w : Coordinate `w` of the vector, specifies the rotation component. Segment2   Representation of a line in two dimentional space.   Fields:      origin : Origin coordinates.      target : Target coordinates. Segment3   Representation of a line in three dimentional space.   Fields:      origin : Origin coordinates.      target : Target coordinates. Pole   Representation of polar coordinates `(radius:float,angle:float)`.   Fields:      radius : Radius of the pole.      angle : Angle in radians of the pole. Plane   Representation of a 3D plane.   Fields:      normal : Normal vector of the plane.      distance : Distance of the plane along its normal from the origin. M32   Representation of a 3x2 matrix.   Fields:      m11 : First element of the first row.      m12 : Second element of the first row.      m21 : First element of the second row.      m22 : Second element of the second row.      m31 : First element of the third row.      m32 : Second element of the third row. M44   Representation of a 4x4 matrix.   Fields:      m11 : First element of the first row.      m12 : Second element of the first row.      m13 : Third element of the first row.      m14 : fourth element of the first row.      m21 : First element of the second row.      m22 : Second element of the second row.      m23 : Third element of the second row.      m24 : fourth element of the second row.      m31 : First element of the third row.      m32 : Second element of the third row.      m33 : Third element of the third row.      m34 : fourth element of the third row.      m41 : First element of the fourth row.      m42 : Second element of the fourth row.      m43 : Third element of the fourth row.      m44 : fourth element of the fourth row.
Pine Script™ kitaplığı
RicardoSantos tarafından
6
BasicVisibleChartBasic library for the visible range chart; with functions to allow plotting Fibs from body high/low as well as wick high/low -Thanks to code from @PineCoders Visible Chart library (PineCoders/VisibleChart/4), which is a much more comprehensive library than this, but which does not include some functions that I find useful: -Added the following exportable functions: highest/lowest body, highest/lowest close, highest/lowest open. These allow one to anchor fibs from bodies rather than wicks -Added a Fib Box function in the example code The above chart shows the example code plotting a Fib range drawn from bodies and a highlighted retracement zone (61.8 % - 78.6% ) ~~All Exportable Functions~~ barIsVisible() highestClose() highestOpen() highestBody() lowestClose() lowestOpen() lowestBody() high() highBarTime() low() lowBarTime() open() close()
Pine Script™ kitaplığı
twingall tarafından
1
eHarmonicpatternsLogScaleLibrary "eHarmonicpatternsLogScale" Library provides functions to scan harmonic patterns both or normal and log scale getSupportedPatterns() get_prz_range(x, a, b, c, patternArray, errorPercent, start_adj, end_adj, logScale)   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      logScale : - calculate on log scale. Default is false   Returns: Start and end of consolidated PRZ range get_prz_range_xad(x, a, b, c, patternArray, errorPercent, start_adj, end_adj, logScale)   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      logScale : - calculate on log scale. Default is false   Returns: Start and end of consolidated PRZ range get_projection_range(x, a, b, c, patternArray, errorPercent, start_adj, end_adj, logScale)   Provides Projection 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      logScale : - calculate on log scale. Default is false   Returns: Array containing start and end ranges isHarmonicPattern(x, a, b, c, d, flags, defaultEnabled, errorPercent, logScale)   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      defaultEnabled      errorPercent : Error threshold      logScale : - calculate on log scale. Default is false   Returns: Array of boolean values which says whether valid pattern exist and array of corresponding pattern names isHarmonicProjection(x, a, b, c, flags, defaultEnabled, errorPercent, logScale)   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      defaultEnabled      errorPercent : Error threshold      logScale : - calculate on log scale. Default is false   Returns: Array of boolean values which says whether valid pattern exist and array of corresponding pattern names.
Pine Script™ kitaplığı
Trendoscope tarafından
1
FibRatiosLibrary "FibRatios" Library with calculation logic for fib retracement, extension and ratios retracement(a, b, ratio, logScale, precision)   Calculates the retracement for points a, b with given ratio and scale   Parameters:      a : Starting point a      b : Second point b      ratio : Ratio for which we need to calculate retracement c      logScale : Flag to get calculations in log scale. Default is false      precision : rounding precision. If set to netagive number, round_to_mintick is applied. Default is -1   Returns: retracement point c for points a,b with given ratio and scale retracementRatio(a, b, c, logScale, precision)   Calculates the retracement ratio for points a, b, c with given scale   Parameters:      a : Starting point a      b : Second point b      c : Retracement point. c should be placed between a and b      logScale : Flag to get calculations in log scale. Default is false      precision : rounding precision. If set to netagive number, round_to_mintick is applied. Default is 3   Returns: retracement ratio for points a,b,c on given scale extension(a, b, c, ratio, logScale, precision)   Calculates the extensions for points a, b, c with given ratio and scale   Parameters:      a : Starting point a      b : Second point b      c : Retracement point. c should be placed between a and b      ratio : Ratio for which we need to calculate extension d      logScale : Flag to get calculations in log scale. Default is false      precision : rounding precision. If set to netagive number, round_to_mintick is applied. Default is -1   Returns: extensoin point d for points a,b,c with given ratio and scale extensionRatio(a, b, c, d, logScale, precision)   Calculates the extension ratio for points a, b, c, d with given scale   Parameters:      a : Starting point a      b : Second point b      c : Retracement point. c should be placed between a and b      d : Extension point. d should be placed beyond a, c. But, can be with b,c or beyond b      logScale : Flag to get calculations in log scale. Default is false      precision : rounding precision. If set to netagive number, round_to_mintick is applied. Default is 3   Returns: extension ratio for points a,b,c,d on given scale
Pine Script™ kitaplığı
Trendoscope tarafından
5
PatternLibrary "Pattern" Pattern object definitions and functions. Easily draw and keep track of patterns, legs, and points. Supported pattern types (as of Version 1): Type             Leg validation         # legs "xabcd"         Direction                3 or 4 (point D not required) "zigzag"         Direction                >= 2 "free"            None                      >= 2 erase_label(this)   Delete the point label   Parameters:      this : Point   Returns: Void draw_label(this, position, clr, transp, txt_clr, txt, tooltip, size)   Draw the point label   Parameters:      this : Point      position      clr      transp      txt_clr      txt      tooltip      size   Returns: line leg_init(a, b, prev, next, line)   Initialize a pattern leg   Parameters:      a : Point A (required)      b : Point B (required)      prev : Previous leg      next : Next leg      line : Line   Returns: New instance of leg object erase(this)   Delete the pattern leg   Parameters:      this : Leg   Returns: Void erase(this)   Parameters:      this draw(this, clr, style, transp, width)   Draw the pattern leg   Parameters:      this : Leg      clr : Color      style : Style ("solid", "dotted", "dashed", "arrowleft", "arrowright")      transp : Transparency      width : Width   Returns: line draw(this, clr, style, transp, width)   Parameters:      this      clr      style      transp      width leg_getLineTerms(this)   Get the slope and y-intercept of a leg   Parameters:      this : Leg   Returns: leg_getPrice(this, index)   Get the price (Y) at a given bar index (X) within the leg   Parameters:      this : Leg      index : Bar index   Returns: Price (float) pattern_init(legs, tp, name, subType, pid)   Initialize a pattern object from a given set of legs   Parameters:      legs : Array of pattern legs (required)      tp : Pattern type ("zigzag", "xabcd", or "free". dft = "free")      name : Pattern name      subType : Pattern subtype      pid : Pattern Identifier string   Returns: New instance of pattern object, if one was successfully created pattern_init(points, tp, name, subType, pid)   Initialize a pattern object from a given set of points   Parameters:      points      tp : Pattern type ("zigzag", "xabcd", or "free". dft = "free")      name : Pattern name      subType : Pattern subtype      pid : Pattern Identifier string   Returns: New instance of pattern object, if one was successfully created point   A point on the chart (x,y)   Fields:      x : Bar index (x coordinate)      y      label leg   A pattern leg (point A to point B)   Fields:      a : Point A      b      deltaX      deltaY      prev      next      retrace      line pattern   A pattern (set of at least 2 connected legs)   Fields:      legs      type      subType      name      pid
Pine Script™ kitaplığı
reees tarafından
18
BpaLibrary "Bpa" TODO: library of Brooks Price Action concepts isBreakoutBar(atr, high, low, close, open, tail, size)   TODO: check if the bar is a breakout based on the specified conditions   Parameters:      atr : TODO: atr value      high : TODO: high price      low : TODO: low price      close : TODO: close price      open : TODO: open price      tail : TODO: decimal value for a percent that represent the size of the tail of the bar that cant be preceeded to be considered strong close      size : TODO: decimal value for a percent that represents by how much the breakout bar should be bigger than others to be considered one   Returns: TODO: boolean value, true if breakout bar, false otherwise
Pine Script™ kitaplığı
yohtza tarafından
5
intersectLibrary "intersect" Find Line Intersection X/Y coordinates. Simple to use, will find intersection if it exists on the segments if the line segments do not cross on segment, an 'na' value will be returned if you plot new items with the output coords, they still plot. avoid this by setting a na(x) condition before plotting new items get(l1, l2, ( optional _round) )   line intersection coordinates   Parameters:      l1 : (line) first line      l2 : (line) second line      _round : True to make an INT for plotting     if not used, will not round ( overload loophole)   Returns: with x as int if bool is used
Pine Script™ kitaplığı
kaigouthro tarafından
1
TrigLibrary "Trig" Trigonometric functions rt_get_angleAlpha(a, b, c, deg)   Get angle α of a right triangle, given the lengths of its sides   Parameters:      a : length of leg a (float)      b : length of leg b (float)      c : length of hypotenuse (float)      deg : flag to return angle in degrees (bool - default = false)   Returns: angle α in radians (or degrees if deg == true) rt_get_angleAlphaFromLine(x1, y1, x2, y2, l, deg)   Get angle α of a right triangle formed by the given line   Parameters:      x1 : x coordinate 1 (int - optional, required if argument l is not specified)      y1 : y coordinate 1 (float - optional, required if argument l is not specified)      x2 : x coordinate 2 (int - optional, required if argument l is not specified)      y2 : y coordinate 2 (float - optional, required if argument l is not specified)      l : line object (line - optional, required if x1, y1, x2, and y2 agruments are not specified)      deg : flag to return angle in degrees (bool - default = false)   Returns: angle α in radians (or degrees if deg == true) rt_get_angleBeta(a, b, c, deg)   Get angle β of a right triangle, given the lengths of its sides   Parameters:      a : length of leg a (float)      b : length of leg b (float)      c : length of hypotenuse (float)      deg : flag to return angle in degrees (bool - default = false)   Returns: angle β in radians (or degrees if deg == true) rt_get_angleBetaFromLine(x1, y1, x2, y2, l, deg)   Get angle β of a right triangle formed by the given line   Parameters:      x1 : x coordinate 1 (int - optional, required if argument l is not specified)      y1 : y coordinate 1 (float - optional, required if argument l is not specified)      x2 : x coordinate 2 (int - optional, required if argument l is not specified)      y2 : y coordinate 2 (float - optional, required if argument l is not specified)      l : line object (line - optional, required if x1, y1, x2, and y2 agruments are not specified)      deg : flag to return angle in degrees (bool - default = false)   Returns: angle β in radians (or degrees if deg == true)
Pine Script™ kitaplığı
reees tarafından
3
rzigzagLibrary "rzigzag" Recursive Zigzag Using Matrix allows to create zigzags recursively on multiple levels. After bit of consideration, decided to make this public. zigzag(length, ohlc, numberOfPivots, offset)   calculates plain zigzag based on input   Parameters:      length : Zigzag Length      ohlc : Array containing ohlc values. Can also contain custom series      numberOfPivots : Number of max pivots to be returned      offset : Offset from current bar. Can be used for calculations based on confirmed bars   Returns: nextlevel(zigzagmatrix, numberOfPivots)   calculates next level zigzag based on present zigzag coordinates   Parameters:      zigzagmatrix : Matrix containing zigzag pivots, bars, bar time, direction and level      numberOfPivots : Number of max pivots to be returned   Returns: matrix zigzagmatrix draw(zigzagmatrix, newPivot, doublePivot, lineColor, lineWidth, lineStyle, showLabel, xloc)   draws zigzag based on the zigzagmatrix input   Parameters:      zigzagmatrix : Matrix containing zigzag pivots, bars, bar time, direction and level      newPivot : Flag indicating there is update in the pivots      doublePivot : Flag containing there is double pivot update on same bar      lineColor : Zigzag line color      lineWidth : Zigzag line width      lineStyle : Zigzag line style      showLabel : Flag to indicate display pivot labels      xloc : xloc preference for drawing lines/labels   Returns: draw(length, ohlc, numberOfPivots, offset, lineColor, lineWidth, lineStyle, showLabel, xloc)   calculates and draws zigzag based on zigzag length and source input   Parameters:      length : Zigzag Length      ohlc : Array containing ohlc values. Can also contain custom series      numberOfPivots : Number of max pivots to be returned      offset : Offset from current bar. Can be used for calculations based on confirmed bars      lineColor : Zigzag line color      lineWidth : Zigzag line width      lineStyle : Zigzag line style      showLabel : Flag to indicate display pivot labels      xloc : xloc preference for drawing lines/labels   Returns: drawfresh(zigzagmatrix, zigzaglines, zigzaglabels, lineColor, lineWidth, lineStyle, showLabel, xloc)   draws fresh zigzag for all pivots in the input matrix.   Parameters:      zigzagmatrix : Matrix containing zigzag pivots, bars, bar time, direction and level      zigzaglines : array to which all newly created lines will be added      zigzaglabels : array to which all newly created lables will be added      lineColor : Zigzag line color      lineWidth : Zigzag line width      lineStyle : Zigzag line style      showLabel : Flag to indicate display pivot labels      xloc : xloc preference for drawing lines/labels   Returns:
Pine Script™ kitaplığı
Trendoscope tarafından
9
CommonMarkupLibrary "CommonMarkup" Provides functions for chart markup, such as indicating recession bands. markRecessionBands(showBands, lineY, labelY)   Mark vertical bands and show recession band labels if argument showBands is true. Example "markRecessionBands(bar_index ,3.0"   Parameters:      showBands : - show vertical recession bands when true. Functionally equiv to no op when false      lineY : - y-axis value for line positioning      labelY : - y-axis value for label positioning @return true - always answers the value of showBands
Pine Script™ kitaplığı
foosmoo tarafından
divergenceLibrary "divergence" divergence: divergence algorithm with top and bottom kline tolerance regular_bull(series, series, simple, simple, simple, simple, simple) regular_bull: regular bull divergence, lower low src but higher low osc   Parameters:      series : float src: the source series      series : float osc: the oscillator index      simple : int lbL: look back left      simple : int lbR: look back right      simple : int rangeL: min look back range      simple : int rangeU: max look back range      simple : int tolerance: the number of tolerant klines   Returns: array: hidden_bull(series, series, simple, simple, simple, simple, simple) hidden_bull: hidden bull divergence, higher low src but lower low osc   Parameters:      series : float src: the source series      series : float osc: the oscillator index      simple : int lbL: look back left      simple : int lbR: look back right      simple : int rangeL: min look back range      simple : int rangeU: max look back range      simple : int tolerance: the number of tolerant klines   Returns: array: regular_bear(series, series, simple, simple, simple, simple, simple) regular_bear: regular bear divergence, higher high src but lower high osc   Parameters:      series : float src: the source series      series : float osc: the oscillator index      simple : int lbL: look back left      simple : int lbR: look back right      simple : int rangeL: min look back range      simple : int rangeU: max look back range      simple : int tolerance: the number of tolerant klines   Returns: array: hidden_bear(series, series, simple, simple, simple, simple, simple) hidden_bear: hidden bear divergence, lower high src but higher high osc   Parameters:      series : float src: the source series      series : float osc: the oscillator index      simple : int lbL: look back left      simple : int lbR: look back right      simple : int rangeL: min look back range      simple : int rangeU: max look back range      simple : int tolerance: the number of tolerant klines   Returns: array:
Pine Script™ kitaplığı
dandrideng 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
[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)
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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.
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FunctionGenerateRandomPointsInShapeLibrary "FunctionGenerateRandomPointsInShape" Generate random vector points in geometric shape (parallelogram, triangle) random_parallelogram(vector_a, vector_b) Generate random vector point in a parallelogram shape.   Parameters:      vector_a : float array, vector of (x, y) shape.      vector_b : float array, vector of (x, y) shape.   Returns: float array, vector of (x, y) shape. random_triangle(vector_a, vector_b) Generate random vector point in a triangle shape.   Parameters:      vector_a : float array, vector of (x, y) shape.      vector_b : float array, vector of (x, y) shape.   Returns: float array, vector of (x, y) shape.
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eHarmonicpatternsLibrary "eHarmonicpatterns" Library provides an alternative method to scan harmonic patterns. This is helpful in reducing iterations scan_xab(bcdRatio, err_min, err_max, patternArray) Checks if bcd ratio is in range of any harmonic pattern   Parameters:      bcdRatio : AB/XA ratio      err_min : minimum error threshold      err_max : maximum error threshold      patternArray : Array containing pattern check flags. Checks are made only if flags are true. Upon check flgs are overwritten. scan_abc_axc(abcRatio, axcRatio, err_min, err_max, patternArray) Checks if abc or axc ratio is in range of any harmonic pattern   Parameters:      abcRatio : BC/AB ratio      axcRatio : XC/AX ratio      err_min : minimum error threshold      err_max : maximum error threshold      patternArray : Array containing pattern check flags. Checks are made only if flags are true. Upon check flgs are overwritten. scan_bcd(bcdRatio, err_min, err_max, patternArray) Checks if bcd ratio is in range of any harmonic pattern   Parameters:      bcdRatio : CD/BC ratio      err_min : minimum error threshold      err_max : maximum error threshold      patternArray : Array containing pattern check flags. Checks are made only if flags are true. Upon check flgs are overwritten. scan_xad_xcd(xadRatio, xcdRatio, err_min, err_max, patternArray) Checks if xad or xcd ratio is in range of any harmonic pattern   Parameters:      xadRatio : AD/XA ratio      xcdRatio : CD/XC ratio      err_min : minimum error threshold      err_max : maximum error threshold      patternArray : Array containing pattern check flags. Checks are made only if flags are true. Upon check flgs are overwritten. isHarmonicPattern(x, a, c, c, d, flags, errorPercent) Checks for harmonic patterns   Parameters:      x : X coordinate value      a : A coordinate value      c : B coordinate value      c : C coordinate value      d : D coordinate value      flags : flags to check patterns. Send empty array to enable all      errorPercent : Error threshold   Returns: Array of boolean values which says whether valid pattern exist and array of corresponding pattern names isHarmonicProjection(x, a, c, c, flags, errorPercent) Checks for harmonic pattern projection   Parameters:      x : X coordinate value      a : A coordinate value      c : B coordinate value      c : C coordinate value      flags : flags to check patterns. Send empty array to enable all      errorPercent : Error threshold   Returns: Array of boolean values which says whether valid pattern exist and array of corresponding pattern names
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FunctionZigZagMultipleMethodsLibrary "FunctionZigZagMultipleMethods" ZigZag Multiple Methods. method(idx) Helper methods enumeration.   Parameters:      idx : int, index of method, range 0 to 4.   Returns: string function(method, value_x, value_y) Multiple method ZigZag.   Parameters:      method : string, default='(MANUAL) Percent price move over X * Y', method for zigzag.      value_x : float, x value in method.      value_y : float, y value in method.   Returns: tuple with: zigzag float direction reverse_line float realtimeofpivot int
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harmonicpatternsLibrary "harmonicpatterns" harmonicpatterns: methods required for calculation of harmonic patterns. These are customised to be used in my scripts. But, also simple enough for others to make use of :) isGartleyPattern(xabRatio, abcRatio, bcdRatio, xadRatio, err_min, err_max) isGartleyPattern: Checks for harmonic pattern Gartley   Parameters:      xabRatio : AB/XA      abcRatio : BC/AB      bcdRatio : CD/BC      xadRatio : AD/XA      err_min : Minumum error threshold      err_max : Maximum error threshold   Returns: True if the pattern is Gartley. False otherwise. isBatPattern(xabRatio, abcRatio, bcdRatio, xadRatio, err_min, err_max) isBatPattern: Checks for harmonic pattern Bat   Parameters:      xabRatio : AB/XA      abcRatio : BC/AB      bcdRatio : CD/BC      xadRatio : AD/XA      err_min : Minumum error threshold      err_max : Maximum error threshold   Returns: True if the pattern is Bat. False otherwise. isButterflyPattern(xabRatio, abcRatio, bcdRatio, xadRatio, err_min, err_max) isButterflyPattern: Checks for harmonic pattern Butterfly   Parameters:      xabRatio : AB/XA      abcRatio : BC/AB      bcdRatio : CD/BC      xadRatio : AD/XA      err_min : Minumum error threshold      err_max : Maximum error threshold   Returns: True if the pattern is Butterfly. False otherwise. isCrabPattern(xabRatio, abcRatio, bcdRatio, xadRatio, err_min, err_max) isCrabPattern: Checks for harmonic pattern Crab   Parameters:      xabRatio : AB/XA      abcRatio : BC/AB      bcdRatio : CD/BC      xadRatio : AD/XA      err_min : Minumum error threshold      err_max : Maximum error threshold   Returns: True if the pattern is Crab. False otherwise. isDeepCrabPattern(xabRatio, abcRatio, bcdRatio, xadRatio, err_min, err_max) isDeepCrabPattern: Checks for harmonic pattern DeepCrab   Parameters:      xabRatio : AB/XA      abcRatio : BC/AB      bcdRatio : CD/BC      xadRatio : AD/XA      err_min : Minumum error threshold      err_max : Maximum error threshold   Returns: True if the pattern is DeepCrab. False otherwise. isCypherPattern(xabRatio, axcRatio, xadRatio, err_min, err_max) isCypherPattern: Checks for harmonic pattern Cypher   Parameters:      xabRatio : AB/XA      axcRatio : XC/AX      xadRatio : AD/XA      err_min : Minumum error threshold      err_max : Maximum error threshold   Returns: True if the pattern is Cypher. False otherwise. isSharkPattern(xabRatio, abcRatio, bcdRatio, xadRatio, err_min, err_max) isSharkPattern: Checks for harmonic pattern Shark   Parameters:      xabRatio : AB/XA      abcRatio : BC/AB      bcdRatio : CD/BC      xadRatio : AD/XA      err_min : Minumum error threshold      err_max : Maximum error threshold   Returns: True if the pattern is Shark. False otherwise. isNenStarPattern(xabRatio, abcRatio, bcdRatio, xadRatio, err_min, err_max) isNenStarPattern: Checks for harmonic pattern Nenstar   Parameters:      xabRatio : AB/XA      abcRatio : BC/AB      bcdRatio : CD/BC      xadRatio : AD/XA      err_min : Minumum error threshold      err_max : Maximum error threshold   Returns: True if the pattern is Nenstar. False otherwise. isAntiNenStarPattern(xabRatio, abcRatio, bcdRatio, xadRatio, err_min, err_max) isAntiNenStarPattern: Checks for harmonic pattern Anti NenStar   Parameters:      xabRatio : - AB/XA      abcRatio : - BC/AB      bcdRatio : - CD/BC      xadRatio : - AD/XA      err_min : - Minumum error threshold      err_max : - Maximum error threshold   Returns: True if the pattern is Anti NenStar. False otherwise. isAntiSharkPattern(xabRatio, abcRatio, bcdRatio, xadRatio, err_min, err_max) isAntiSharkPattern: Checks for harmonic pattern Anti Shark   Parameters:      xabRatio : AB/XA      abcRatio : BC/AB      bcdRatio : CD/BC      xadRatio : AD/XA      err_min : Minumum error threshold      err_max : Maximum error threshold   Returns: True if the pattern is Anti Shark. False otherwise. isAntiCypherPattern(xabRatio, abcRatio, bcdRatio, xadRatio, err_min, err_max) isAntiCypherPattern: Checks for harmonic pattern Anti Cypher   Parameters:      xabRatio : AB/XA      abcRatio : BC/AB      bcdRatio : CD/BC      xadRatio : AD/XA      err_min : Minumum error threshold      err_max : Maximum error threshold   Returns: True if the pattern is Anti Cypher. False otherwise. isAntiCrabPattern(xabRatio, abcRatio, bcdRatio, xadRatio, err_min, err_max) isAntiCrabPattern: Checks for harmonic pattern Anti Crab   Parameters:      xabRatio : AB/XA      abcRatio : BC/AB      bcdRatio : CD/BC      xadRatio : AD/XA      err_min : Minumum error threshold      err_max : Maximum error threshold   Returns: True if the pattern is Anti Crab. False otherwise. isAntiBatPattern(xabRatio, abcRatio, bcdRatio, xadRatio, err_min, err_max) isAntiBatPattern: Checks for harmonic pattern Anti Bat   Parameters:      xabRatio : AB/XA      abcRatio : BC/AB      bcdRatio : CD/BC      xadRatio : AD/XA      err_min : Minumum error threshold      err_max : Maximum error threshold   Returns: True if the pattern is Anti Bat. False otherwise. isAntiGartleyPattern(xabRatio, abcRatio, bcdRatio, xadRatio, err_min, err_max) isAntiGartleyPattern: Checks for harmonic pattern Anti Gartley   Parameters:      xabRatio : AB/XA      abcRatio : BC/AB      bcdRatio : CD/BC      xadRatio : AD/XA      err_min : Minumum error threshold      err_max : Maximum error threshold   Returns: True if the pattern is Anti Gartley. False otherwise. isNavarro200Pattern(xabRatio, abcRatio, bcdRatio, xadRatio, err_min, err_max) isNavarro200Pattern: Checks for harmonic pattern Navarro200   Parameters:      xabRatio : AB/XA      abcRatio : BC/AB      bcdRatio : CD/BC      xadRatio : AD/XA      err_min : Minumum error threshold      err_max : Maximum error threshold   Returns: True if the pattern is Navarro200. False otherwise. isHarmonicPattern(x, a, c, c, d, flags, errorPercent) isHarmonicPattern: Checks for harmonic patterns   Parameters:      x : X coordinate value      a : A coordinate value      c : B coordinate value      c : C coordinate value      d : D coordinate value      flags : flags to check patterns. Send empty array to enable all      errorPercent : Error threshold   Returns: Array of boolean values which says whether valid pattern exist and array of corresponding pattern names
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LinearRegressionLibraryLibrary "LinearRegressionLibrary" contains functions for fitting a regression line to the time series by means of different models, as well as functions for estimating the accuracy of the fit. Linear regression algorithms: RepeatedMedian(y, n, lastBar) applies repeated median regression (robust linear regression algorithm) to the input time series within the selected interval. Parameters: y :: float series, source time series (e.g. close) n :: integer, the length of the selected time interval lastBar :: integer, index of the last bar of the selected time interval (defines the position of the interval) Output: mSlope :: float, slope of the regression line mInter :: float, intercept of the regression line TheilSen(y, n, lastBar) applies the Theil-Sen estimator (robust linear regression algorithm) to the input time series within the selected interval. Parameters: y :: float series, source time series n :: integer, the length of the selected time interval lastBar :: integer, index of the last bar of the selected time interval (defines the position of the interval) Output: tsSlope :: float, slope of the regression line tsInter :: float, intercept of the regression line OrdinaryLeastSquares(y, n, lastBar) applies the ordinary least squares regression (non-robust) to the input time series within the selected interval. Parameters: y :: float series, source time series n :: integer, the length of the selected time interval lastBar :: integer, index of the last bar of the selected time interval (defines the position of the interval) Output: olsSlope :: float, slope of the regression line olsInter :: float, intercept of the regression line Model performance metrics: metricRMSE(y, n, lastBar, slope, intercept) returns the Root-Mean-Square Error (RMSE) of the regression. The better the model, the lower the RMSE. Parameters: y :: float series, source time series (e.g. close) n :: integer, the length of the selected time interval lastBar :: integer, index of the last bar of the selected time interval (defines the position of the interval) slope :: float, slope of the evaluated linear regression line intercept :: float, intercept of the evaluated linear regression line Output: rmse :: float, RMSE value metricMAE(y, n, lastBar, slope, intercept) returns the Mean Absolute Error (MAE) of the regression. MAE is is similar to RMSE but is less sensitive to outliers. The better the model, the lower the MAE. Parameters: y :: float series, source time series n :: integer, the length of the selected time interval lastBar :: integer, index of the last bar of the selected time interval (defines the position of the interval) slope :: float, slope of the evaluated linear regression line intercept :: float, intercept of the evaluated linear regression line Output: mae :: float, MAE value metricR2(y, n, lastBar, slope, intercept) returns the coefficient of determination (R squared) of the regression. The better the linear regression fits the data (compared to the sample mean), the closer the value of the R squared is to 1. Parameters: y :: float series, source time series n :: integer, the length of the selected time interval lastBar :: integer, index of the last bar of the selected time interval (defines the position of the interval) slope :: float, slope of the evaluated linear regression line intercept :: float, intercept of the evaluated linear regression line Output: Rsq :: float, R-sqared score Usage example: //@version=5 indicator('ExampleLinReg', overlay=true) // import the library import tbiktag/LinearRegressionLibrary/1 as linreg // define the studied interval: last 100 bars int Npoints = 100 int lastBar = bar_index int firstBar = bar_index - Npoints // apply repeated median regression to the closing price time series within the specified interval {square bracket}slope, intercept{square bracket} = linreg.RepeatedMedian(close, Npoints, lastBar) // calculate the root-mean-square error of the obtained linear fit rmse = linreg.metricRMSE(close, Npoints, lastBar, slope, intercept) // plot the line and print the RMSE value float y1 = intercept float y2 = intercept + slope * (Npoints - 1) if barstate.islast {indent} line.new(firstBar,y1, lastBar,y2) {indent} label.new(lastBar,y2,text='RMSE = '+str.format("{0,number,#.#}", rmse))
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FunctionGeometricLineDrawingsLibrary "FunctionGeometricLineDrawings" array_delete_all_lines(lines) deletes all lines in array.   Parameters:      lines : line array, array with line objects to delete.   Returns: void. triangle(sample_x, sample_y, xloc, extend, color, style, width) Draw a Triangle with 3 vector2D(x, y) coordinates.   Parameters:      sample_x : int array, triangle sample data X coordinate values.      sample_y : float array, triangle sample data Y coordinate values.      xloc : string, defaultoptions=xloc.bar_index, xloc.bar_time.      extend : string, default=extend.none, options=(extend.none, extend.right, extend.left, extend.both).      color : color, default=      style : options line.style_solid, line.style_dotted, line.style_dashed, line.style_arrow_left, line.style_arrow_right, line.style_arrow_both      width : width in pixels.   Returns: line array trapezoid(sample_x, sample_y, xloc, extend, color, style, width) Draw a Trapezoid with 4 vector2D(x, y) coordinates:   Parameters:      sample_x : int array, trapezoid sample data X coordinate values.      sample_y : float array, trapezoid sample data Y coordinate values.      xloc : string, defaultoptions=xloc.bar_index, xloc.bar_time.      extend : string, default=extend.none, options=(extend.none, extend.right, extend.left, extend.both).      color : color, default=      style : options line.style_solid, line.style_dotted, line.style_dashed, line.style_arrow_left, line.style_arrow_right, line.style_arrow_both      width : width in pixels.   Returns: line array
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