Inizia

Indicatori e strategie

FunctionArrayNextPreviousLibrary "FunctionArrayNextPrevious" Methods to iterate through a array by a fixed anchor point. array_next(array, start_index) retrieves the next value of the internal pointer index.   Parameters:      array : (any array type), array to iterate.      start_index : int, anchor index to start indexing. array_previous(array, start_index) retrieves the previous value of the internal pointer index.   Parameters:      array : (any array type), array to iterate.      start_index : int, anchor index to start indexing. note: regrettably is not possible to have global reference index without juggling it in the parameters and tracking it externally to switch between next/previous
Libreria Pine Script®
di RicardoSantos
VolatilityCheckerLibrary "VolatilityChecker" Volatility is judged to be high when the range of one period is greater than the ATR of another period. is_high(_periods, _smooth, _atr_periods, _atr_times) Return true if the volatility is high.   Parameters:      _periods : Range Period      _smooth : Smoothes the range width.      _atr_periods : ATR Period      _atr_times : Amplify the calculated ATR.   Returns: {Boolean} is_low()
Libreria Pine Script®
di boitoki
SetSessionTimesLibrary "SetSessionTimes" Function to automatically set session times for symbols and eventually timezone. Useful mainly for futures contracts, to differentiate between pit and overnight sessions, and for 24 hours symbols if you want to "create" sessions for them This library only returns correct session times to the calling script and does nothing by itself on the chart. the calling script must then use the returned session times to do anything. For example, in the attached chart this library is used by my initial balance indicator, which calls it to retrieve the correct session times for the selected symbol in the chart, given that different futures contracts have different pit session times (RTH times) and Tradingview hasn't implemented that yet. SetSessionTimes()
Libreria Pine Script®
di czoa
2
FunctionNNLayerLibrary "FunctionNNLayer" Generalized Neural Network Layer method. function(inputs, weights, n_nodes, activation_function, bias, alpha, scale) Generalized Layer.   Parameters:      inputs : float array, input values.      weights : float array, weight values.      n_nodes : int, number of nodes in layer.      activation_function : string, default='sigmoid', name of the activation function used.      bias : float, default=1.0, bias to pass into activation function.      alpha : float, default=na, if required to pass into activation function.      scale : float, default=na, if required to pass into activation function.   Returns: float
Libreria Pine Script®
di RicardoSantos
FunctionNNPerceptronLibrary "FunctionNNPerceptron" Perceptron Function for Neural networks. function(inputs, weights, bias, activation_function, alpha, scale) generalized perceptron node for Neural Networks.   Parameters:      inputs : float array, the inputs of the perceptron.      weights : float array, the weights for inputs.      bias : float, default=1.0, the default bias of the perceptron.      activation_function : string, default='sigmoid', activation function applied to the output.      alpha : float, default=na, if required for activation.      scale : float, default=na, if required for activation. @outputs float
Libreria Pine Script®
di RicardoSantos
1
MLActivationFunctionsLibrary "MLActivationFunctions" Activation functions for Neural networks. binary_step(value) Basic threshold output classifier to activate/deactivate neuron.   Parameters:      value : float, value to process.   Returns: float linear(value) Input is the same as output.   Parameters:      value : float, value to process.   Returns: float sigmoid(value) Sigmoid or logistic function.   Parameters:      value : float, value to process.   Returns: float sigmoid_derivative(value) Derivative of sigmoid function.   Parameters:      value : float, value to process.   Returns: float tanh(value) Hyperbolic tangent function.   Parameters:      value : float, value to process.   Returns: float tanh_derivative(value) Hyperbolic tangent function derivative.   Parameters:      value : float, value to process.   Returns: float relu(value) Rectified linear unit (RELU) function.   Parameters:      value : float, value to process.   Returns: float relu_derivative(value) RELU function derivative.   Parameters:      value : float, value to process.   Returns: float leaky_relu(value) Leaky RELU function.   Parameters:      value : float, value to process.   Returns: float leaky_relu_derivative(value) Leaky RELU function derivative.   Parameters:      value : float, value to process.   Returns: float relu6(value) RELU-6 function.   Parameters:      value : float, value to process.   Returns: float softmax(value) Softmax function.   Parameters:      value : float array, values to process.   Returns: float softplus(value) Softplus function.   Parameters:      value : float, value to process.   Returns: float softsign(value) Softsign function.   Parameters:      value : float, value to process.   Returns: float elu(value, alpha) Exponential Linear Unit (ELU) function.   Parameters:      value : float, value to process.      alpha : float, default=1.0, predefined constant, controls the value to which an ELU saturates for negative net inputs. .   Returns: float selu(value, alpha, scale) Scaled Exponential Linear Unit (SELU) function.   Parameters:      value : float, value to process.      alpha : float, default=1.67326324, predefined constant, controls the value to which an SELU saturates for negative net inputs. .      scale : float, default=1.05070098, predefined constant.   Returns: float exponential(value) Pointer to math.exp() function.   Parameters:      value : float, value to process.   Returns: float function(name, value, alpha, scale) Activation function.   Parameters:      name : string, name of activation function.      value : float, value to process.      alpha : float, default=na, if required.      scale : float, default=na, if required.   Returns: float derivative(name, value, alpha, scale) Derivative Activation function.   Parameters:      name : string, name of activation function.      value : float, value to process.      alpha : float, default=na, if required.      scale : float, default=na, if required.   Returns: float
Libreria Pine Script®
di RicardoSantos
2
MLLossFunctionsLibrary "MLLossFunctions" Methods for Loss functions. mse(expects, predicts) Mean Squared Error (MSE) " MSE = 1/N * sum ((y - y')^2) ".   Parameters:      expects : float array, expected values.      predicts : float array, prediction values.   Returns: float binary_cross_entropy(expects, predicts) Binary Cross-Entropy Loss (log).   Parameters:      expects : float array, expected values.      predicts : float array, prediction values.   Returns: float
Libreria Pine Script®
di RicardoSantos
Debug_Window_LibraryLibrary "Debug_Window_Library" Provides a framework for logging debug information to a window on the chart. consoleWrite(txt, maxLines) Adds a line of text to the debug window. The text is rolled off the bottom of the window as it fills up.   Parameters:      txt : - this is the text to be appended to the window      maxLines : - this is the size of the window in lines.   Returns: nothing The example above shows the close value for the last 10 bars. Here's the code. //@version=5 indicator("Debug Library test Script", overlay=true) import sp2432/Debug_Window_Library/1 as dbg // add some text to the debug window dbg .consoleWrite( str .tostring(close), 10)
Libreria Pine Script®
di sp2432
1
PointsLibrary "Points" Provides functions for simplifying operations with collections of x+y coordinates. Where x is typically a bar index or time (millisecond) value. new(size) Creates two arrays. One for X (int ) and another for Y (float ).   Parameters:      size : The initial size of the arrays. size(xA, yA) Checks the size of the arrays and if they're equal returns the size.   Parameters:      xA : The X array.      yA : The Y array. get(xA, yA, index) Gets the X and Y values of the arrays at the index.   Parameters:      xA : The X array.      yA : The Y array.      index : The index.   Returns: set(xA, yA, index, x, y) Sets the X and Y values of the arrays at the index.   Parameters:      xA : The X array.      yA : The Y array.      index : The index.      x : The x value.      y : The y value.   Returns: push(xA, yA, x, y) Adds X and Y values to the end of the arrays (as the last element).   Parameters:      xA : The X array.      yA : The Y array.      x : The x value.      y : The y value.   Returns: unshift(xA, yA, x, y) Adds X and Y values to the beginning of the arrays (as the first element).   Parameters:      xA : The X array.      yA : The Y array.      x : The x value.      y : The y value.   Returns: insert(xA, yA, index, x, y) Inserts X and Y values to the arrays at the index.   Parameters:      xA : The X array.      yA : The Y array.      index : The index to insert at.      x : The x value.      y : The y value.   Returns: pop(xA, yA) Removes the last element from the arrays and returns their value.   Parameters:      xA : The X array.      yA : The Y array.   Returns: shift(xA, yA) Removes the first element from the arrays and returns their value.   Parameters:      xA : The X array.      yA : The Y array.   Returns: remove(xA, yA) Removes the element from the arrays at the index and returns their value.   Parameters:      xA : The X array.      yA : The Y array.   Returns: first(xA, yA) Gets the X and Y values of the first element.   Parameters:      xA : The X array.      yA : The Y array.   Returns: last(xA, yA) Gets the X and Y values of the last element.   Parameters:      xA : The X array.      yA : The Y array.   Returns: allIndexesBetween(xA, lo, hi, start, ordered) Gets the indexes that have values at or above the low value and below the high value.   Parameters:      xA : The X array.      lo : The inclusive low value.      hi : The excluded hi value.      start : The optional index to start the backwards search.      ordered : If true, the search ends when the first value is found that is less than the low. lastIndexBetween(xA, lo, hi, start, ordered) Gets the first found from the end that has a value at or above the low value and below the high value.   Parameters:      xA : The X array.      lo : The inclusive low value.      hi : The excluded hi value.      start : The optional index to start the backwards search.      ordered : If true, the search ends when the first value is found that is less than the low. lastIndexBelow(xA, hi, start) Gets the first found from the end that has a value below the high value.   Parameters:      xA : The X array.      hi : The excluded hi value.      start : The optional index to start the backwards search.
Libreria Pine Script®
di Electrified
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
Libreria Pine Script®
di Trendoscope
11
OteHmacSha256Library "OteHmacSha256" Library to use HMAC SHA-256 by OgahTerkenal hmac_sha256(string) HMAC SHA-256   Parameters:      string : msg String to be hashed   Returns: Return a hashed string in hex format and an array of 8 32 bits integer Library to use HMAC SHA-256 for authenticating alert message going out from TradingView. It has limitation on allowed characters (because PineScript cannot access the underlying bits of each ASCII) from ASCII 32 to 126 only. Usage Example section at the end of the source code pretty much tell everything about this library. General example as how to import to your PineScript code is not included (please refer to the PineScript manual).
Libreria Pine Script®
di OgahTerkenal
8
StocksDeveloper_AutoTraderWebLibrary "StocksDeveloper_AutoTraderWeb" AutoTrader Web trading API functions implementation for Trading View. preparePlaceOrderJson(account, symbol, group, variety) Prepare a place order json   Parameters:      account : Pseudo or group account number      symbol : AutoTrader Web's stock/derivative symbol      group : Set it to true to use group account (Default: false)      variety : Variety (Default: REGULAR)   Returns: A json message for the given order data preparePlaceOrderAlertUsingOrderJson(orderJsonArray) Prepare a place order alert message using order json array   Parameters:      orderJsonArray : Order json can contain one or more orders   Returns: A complete alert message to place orders preparePlaceOrderAlertMessage(account, symbol, group, variety, validity) Prepare a place order alert json message   Parameters:      account : Pseudo or group account number      symbol : AutoTrader Web's stock/derivative symbol      group : Set it to true to use group account (Default: false)      variety : Variety (Default: REGULAR)      validity : Validity (Default: DAY)   Returns: A complete alert message to place orders
Libreria Pine Script®
di Pritesh-StocksDeveloper
5
Woodwind VaultLibrary "WoodwindVault" Woodwind Vault provides reusable functions to support Thange Woodwind Playbook execution. getHighestHighAndLowestLow(period) determines the highest-high and lowest-low for the specified time interval.   Parameters:      period : int, the time interval for finding the highest-high and lowest-low.   Returns: float, the highest-high and lowest-low of the candles in the specified period. findEquilibrium() projects a one glance view of the entire resistance net faced by the price. It does so by computing different equilibrium points for the price.   Returns: longTermEquilibriumB float, the midpoint of highest-high and lowest-low of the candles in last longTermPeriod. getGlance(fast, slow) glances over the 2 equilibrium points from moving averages and establishes whether its bullish or bearish.   Parameters:      fast : float, the fast moving point.      slow : float, the slow moving point.   Returns: string, it is "bullish" if fast moving point is over the slow moving point o/w returns "bearish". positionRelativeToLevel(point, level) determines first point's position w.r.t a specified level.   Parameters:      point : float, the first point (typically a fast moving average).      level : float, the second point acting as a level (typically a slow moving average).   Returns: string, the above/below/at position w.r.t level. positionRelativeToRange(point, fromLevel, toLevel) determines first point's position w.r.t a range (typically a resistance band).   Parameters:      point : float, the first point.      fromLevel : float, the from-range which is typically a fast moving line.      toLevel : float, the to-range which is typically a slow moving line.   Returns: string, the above/below/within range.
Libreria Pine Script®
di govindthange