RicardoLibraryLibrary "RicardoLibrary"
Ricardo's personal Library
GetPipValue() GetPipValue
Returns: Pip value of Symbol
Calculate_SL(IsLong) Calculate_SL: Calcultes Stop Loss
Parameters:
IsLong : If true, then I am going to enter a long position, if false then Short position
Returns: Stop loss Price
Indicatori e strategie
STPFunctionsLibrary "STPFunctions"
These functions are used as part of the STP trading strategy and include commonly used candle patterns, trade triggers and frequently monitored stock parameters
MAs() Determines if the last price is abover or below key moving averages. MAs used on the daily are SMA20, SMA50 and SMA200. SMA20 and SMA50 are used intraday.
Returns: 1 if the last price/close was over the moving averages. -1 is returned if the last price/close is below the moving averages. 0 is returned otherwise.
HTFOrderFlow(HTF1_open, HTF2_open) Determine the state of the higher time frame order flow.
Parameters:
HTF1_open : float value representing the higher time frame open.
HTF2_open : float value representing the higher time frame open.
Returns: 1 if the last price/close was over the higher time frame open. -1 is returned if the last price/close is below the higher time frame open. 0 is returned otherwise.
OrderFlow() Determine the recent order flow... basically are we well bid or well offered
Returns: 1 if the last 2 candles are well bid. -1 is returned if the last 2 candles are well offered. 0 is returned otherwise.
isInside() Used to flag inside candles
Returns: 1 if the close >= open. -1 is returned if the close <= open. 0 is returned otherwise.
isOutside() Used to flag outside or engulfing candles
Returns: 1 if the close >= open. -1 is returned if the close <= open. 0 is returned otherwise.
isUTN() Used to flag the U-turn reversal pattern
Returns: 1 for a BUTN. -1 is returned for a BRUTN. 0 is returned otherwise.
isSNapBack() Flag for Snapback Entries
Returns: 1 for a bullish snapback setup. -1 is returned for a bearish snapback setup. 0 is returned otherwise.
mZigzagLibrary "mZigzag"
Matrix implementation of zigzag to allow further possibilities.
Main advantage of this library over previous zigzag methods is that you can attach any number of indicator/oscillator information to zigzag
calculate(length, ohlc, indicatorHigh, indicatorLow, numberOfPivots) calculates zigzag and related information
Parameters:
length : is zigzag length
ohlc : array of OHLC values to be used for zigzag calculation
indicatorHigh : Array of indicator values calculated based on high price of OHLC
indicatorLow : Array of indicators values calculated based on low price of OHLC
numberOfPivots : Number of pivots to be returned
Returns: pivotMatrix Matrix containing zigzag pivots, pivot bars, direction, ratio, and indicators added via indicatorHigh/indicatorLow
newZG is true if a new pivot is added to array
doubleZG is true if last calculation returned two new pivots (Happens on extreme price change)
draw(length, ohlc, indicatorLabels, indicatorHigh, indicatorLow, numberOfPivots, lineColor, lineWidth, lineStyle, showHighLow, showRatios, showIndicators) draws zigzag and related information
Parameters:
length : is zigzag length
ohlc : array of OHLC values to be used for zigzag calculation
indicatorLabels : Array of name of indicators passed
indicatorHigh : Array of indicator values calculated based on high price of OHLC
indicatorLow : Array of indicators values calculated based on low price of OHLC
numberOfPivots : Number of pivots to be returned
lineColor : zigzag line color. set to blue by default
lineWidth : zigzag line width. set to 1 by default
lineStyle : zigzag line style. set to line.style_solid by default
showHighLow : show HH, HL, LH, LL labels
showRatios : show pivot retracement ratios from previous zigzag
showIndicators : show indicator values
Returns: pivotMatrix Matrix containing zigzag pivots, pivot bars, direction, ratio, and indicators added via indicatorHigh/indicatorLow
zigzaglines array of zigzag lines
zigzaglabels array of zigzag labels
merge_pinbarLibrary "merge_pinbar"
merge_pinbar: merge bars and check whether the bar is a pinbar
merge_pinbar(simple, simple) merge_pinbar: merge bars and check whether the bar is a pinbar
Parameters:
simple : int period: the statistic bar period
simple : int max_bars: the max bars to be merged
Returns: array:
consoleLibrary "console"
Simple debug console to print messages from your strategy code.
USAGE :
Make sure your strategy overlay is false
Import the library :
import keio/console/1 as console
init(lines, panes)
Initialise function.
USAGE :
var log = console.init()
Parameters:
lines : Optional. Number of lines to display
panes : Optional. Number of panes to display
Returns: initialised log
print(log)
Prints a message to the console.
USAGE :
log := console.print(log, "message")
Parameters:
log : Mandatory. The log returned from the init() function
Returns: The log
Timed_exit_alert_for_webhookLibrary "Timed_exit_alert_for_webhook"
TODO: add library description here
fun(x) TODO: add function description here
Parameters:
x : TODO: add parameter x description here
Returns: TODO: add what function returns
for exiting FCM like Tradovate and AMP using API and python MT5 and Webhooks
the writer take no responsibility for trades made using this script its written for informational purposes only
_matrixLibrary "_matrix"
Library helps visualize matrix as array of arrays and enables users to use array methods such as push, pop, shift, unshift etc along with cleanup activities on drawing objects wherever required
unshift(mtx, row) unshift array of lines to first row of the matrix
Parameters:
mtx : matrix of lines
row : array of lines to be inserted in row
Returns: resulting matrix of lines
unshift(mtx, row) unshift array of labels to first row of the matrix
Parameters:
mtx : matrix of labels
row : array of labels to be inserted in row
Returns: resulting matrix labels
unshift(mtx, row) unshift array of boxes to first row of the matrix
Parameters:
mtx : matrix of boxes
row : array of boxes to be inserted in row
Returns: resulting matrix of boxes
unshift(mtx, row) unshift array of linefill to first row of the matrix
Parameters:
mtx : matrix of linefill
row : array of linefill to be inserted in row
Returns: resulting matrix of linefill
unshift(mtx, row) unshift array of tables to first row of the matrix
Parameters:
mtx : matrix of tables
row : array of tables to be inserted in row
Returns: resulting matrix of tables
unshift(mtx, row) unshift array of int to first row of the matrix
Parameters:
mtx : matrix of int
row : array of int to be inserted in row
Returns: resulting matrix of int
unshift(mtx, row) unshift array of float to first row of the matrix
Parameters:
mtx : matrix of float
row : array of float to be inserted in row
Returns: resulting matrix of float
unshift(mtx, row) unshift array of bool to first row of the matrix
Parameters:
mtx : matrix of bool
row : array of bool to be inserted in row
Returns: resulting matrix of bool
unshift(mtx, row) unshift array of string to first row of the matrix
Parameters:
mtx : matrix of string
row : array of string to be inserted in row
Returns: resulting matrix of string
unshift(mtx, row) unshift array of color to first row of the matrix
Parameters:
mtx : matrix of colors
row : array of colors to be inserted in row
Returns: resulting matrix of colors
push(mtx, row) push array of lines to end of the matrix row
Parameters:
mtx : matrix of lines
row : array of lines to be inserted in row
Returns: resulting matrix of lines
push(mtx, row) push array of labels to end of the matrix row
Parameters:
mtx : matrix of labels
row : array of labels to be inserted in row
Returns: resulting matrix of labels
push(mtx, row) push array of boxes to end of the matrix row
Parameters:
mtx : matrix of boxes
row : array of boxes to be inserted in row
Returns: resulting matrix of boxes
push(mtx, row) push array of linefill to end of the matrix row
Parameters:
mtx : matrix of linefill
row : array of linefill to be inserted in row
Returns: resulting matrix of linefill
push(mtx, row) push array of tables to end of the matrix row
Parameters:
mtx : matrix of tables
row : array of tables to be inserted in row
Returns: resulting matrix of tables
push(mtx, row) push array of int to end of the matrix row
Parameters:
mtx : matrix of int
row : array of int to be inserted in row
Returns: resulting matrix of int
push(mtx, row) push array of float to end of the matrix row
Parameters:
mtx : matrix of float
row : array of float to be inserted in row
Returns: resulting matrix of float
push(mtx, row) push array of bool to end of the matrix row
Parameters:
mtx : matrix of bool
row : array of bool to be inserted in row
Returns: resulting matrix of bool
push(mtx, row) push array of string to end of the matrix row
Parameters:
mtx : matrix of string
row : array of string to be inserted in row
Returns: resulting matrix of string
push(mtx, row) push array of colors to end of the matrix row
Parameters:
mtx : matrix of colors
row : array of colors to be inserted in row
Returns: resulting matrix of colors
shift(mtx) shift removes first row from matrix of lines
Parameters:
mtx : matrix of lines from which the shift operation need to be performed
Returns: void
shift(mtx) shift removes first row from matrix of labels
Parameters:
mtx : matrix of labels from which the shift operation need to be performed
Returns: void
shift(mtx) shift removes first row from matrix of boxes
Parameters:
mtx : matrix of boxes from which the shift operation need to be performed
Returns: void
shift(mtx) shift removes first row from matrix of linefill
Parameters:
mtx : matrix of linefill from which the shift operation need to be performed
Returns: void
shift(mtx) shift removes first row from matrix of tables
Parameters:
mtx : matrix of tables from which the shift operation need to be performed
Returns: void
shift(mtx) shift removes first row from matrix of int
Parameters:
mtx : matrix of int from which the shift operation need to be performed
Returns: void
shift(mtx) shift removes first row from matrix of float
Parameters:
mtx : matrix of float from which the shift operation need to be performed
Returns: void
shift(mtx) shift removes first row from matrix of bool
Parameters:
mtx : matrix of bool from which the shift operation need to be performed
Returns: void
shift(mtx) shift removes first row from matrix of string
Parameters:
mtx : matrix of string from which the shift operation need to be performed
Returns: void
shift(mtx) shift removes first row from matrix of colors
Parameters:
mtx : matrix of colors from which the shift operation need to be performed
Returns: void
pop(mtx) pop removes last row from matrix of lines
Parameters:
mtx : matrix of lines from which the pop operation need to be performed
Returns: void
pop(mtx) pop removes last row from matrix of labels
Parameters:
mtx : matrix of labels from which the pop operation need to be performed
Returns: void
pop(mtx) pop removes last row from matrix of boxes
Parameters:
mtx : matrix of boxes from which the pop operation need to be performed
Returns: void
pop(mtx) pop removes last row from matrix of linefill
Parameters:
mtx : matrix of linefill from which the pop operation need to be performed
Returns: void
pop(mtx) pop removes last row from matrix of tables
Parameters:
mtx : matrix of tables from which the pop operation need to be performed
Returns: void
pop(mtx) pop removes last row from matrix of int
Parameters:
mtx : matrix of int from which the pop operation need to be performed
Returns: void
pop(mtx) pop removes last row from matrix of float
Parameters:
mtx : matrix of float from which the pop operation need to be performed
Returns: void
pop(mtx) pop removes last row from matrix of bool
Parameters:
mtx : matrix of bool from which the pop operation need to be performed
Returns: void
pop(mtx) pop removes last row from matrix of string
Parameters:
mtx : matrix of string from which the pop operation need to be performed
Returns: void
pop(mtx) pop removes last row from matrix of colors
Parameters:
mtx : matrix of colors from which the pop operation need to be performed
Returns: void
clear(mtx) clear clears the matrix of lines
Parameters:
mtx : matrix of lines which needs to be cleared
Returns: void
clear(mtx) clear clears the matrix of labels
Parameters:
mtx : matrix of labels which needs to be cleared
Returns: void
clear(mtx) clear clears the matrix of boxes
Parameters:
mtx : matrix of boxes which needs to be cleared
Returns: void
clear(mtx) clear clears the matrix of linefill
Parameters:
mtx : matrix of linefill which needs to be cleared
Returns: void
clear(mtx) clear clears the matrix of tables
Parameters:
mtx : matrix of tables which needs to be cleared
Returns: void
clear(mtx) clear clears the matrix of int
Parameters:
mtx : matrix of int which needs to be cleared
Returns: void
clear(mtx) clear clears the matrix of float
Parameters:
mtx : matrix of float which needs to be cleared
Returns: void
clear(mtx) clear clears the matrix of bool
Parameters:
mtx : matrix of bool which needs to be cleared
Returns: void
clear(mtx) clear clears the matrix of string
Parameters:
mtx : matrix of string which needs to be cleared
Returns: void
clear(mtx) clear clears the matrix of colors
Parameters:
mtx : matrix of colors which needs to be cleared
Returns: void
OrdinaryLeastSquaresLibrary "OrdinaryLeastSquares"
One of the most common ways to estimate the coefficients for a linear regression is to use the Ordinary Least Squares (OLS) method.
This library implements OLS in pine. This implementation can be used to fit a linear regression of multiple independent variables onto one dependent variable,
as long as the assumptions behind OLS hold.
solve_xtx_inv(x, y) Solve a linear system of equations using the Ordinary Least Squares method.
This function returns both the estimated OLS solution and a matrix that essentially measures the model stability (linear dependence between the columns of 'x').
NOTE: The latter is an intermediate step when estimating the OLS solution but is useful when calculating the covariance matrix and is returned here to save computation time
so that this step doesn't have to be calculated again when things like standard errors should be calculated.
Parameters:
x : The matrix containing the independent variables. Each column is regarded by the algorithm as one independent variable. The row count of 'x' and 'y' must match.
y : The matrix containing the dependent variable. This matrix can only contain one dependent variable and can therefore only contain one column. The row count of 'x' and 'y' must match.
Returns: Returns both the estimated OLS solution and a matrix that essentially measures the model stability (xtx_inv is equal to (X'X)^-1).
solve(x, y) Solve a linear system of equations using the Ordinary Least Squares method.
Parameters:
x : The matrix containing the independent variables. Each column is regarded by the algorithm as one independent variable. The row count of 'x' and 'y' must match.
y : The matrix containing the dependent variable. This matrix can only contain one dependent variable and can therefore only contain one column. The row count of 'x' and 'y' must match.
Returns: Returns the estimated OLS solution.
standard_errors(x, y, beta_hat, xtx_inv) Calculate the standard errors.
Parameters:
x : The matrix containing the independent variables. Each column is regarded by the algorithm as one independent variable. The row count of 'x' and 'y' must match.
y : The matrix containing the dependent variable. This matrix can only contain one dependent variable and can therefore only contain one column. The row count of 'x' and 'y' must match.
beta_hat : The Ordinary Least Squares (OLS) solution provided by solve_xtx_inv() or solve().
xtx_inv : This is (X'X)^-1, which means we take the transpose of the X matrix, multiply that the X matrix and then take the inverse of the result.
This essentially measures the linear dependence between the columns of the X matrix.
Returns: The standard errors.
estimate(x, beta_hat) Estimate the next step of a linear model.
Parameters:
x : The matrix containing the independent variables. Each column is regarded by the algorithm as one independent variable. The row count of 'x' and 'y' must match.
beta_hat : The Ordinary Least Squares (OLS) solution provided by solve_xtx_inv() or solve().
Returns: Returns the new estimate of Y based on the linear model.
FunctionMatrixSolveLibrary "FunctionMatrixSolve"
Matrix Equation solution for Ax = B, finds the value of x.
solve(A, B) Solves Matrix Equation for Ax = B, finds value for x.
Parameters:
A : matrix, Square matrix with data values.
B : matrix, One column matrix with data values.
Returns: matrix with X, x = A^-1 b, assuming A is square and has full rank
introcs.cs.princeton.edu
FunctionPolynomialFitLibrary "FunctionPolynomialFit"
Performs Polynomial Regression fit to data.
In statistics, polynomial regression is a form of regression analysis in which
the relationship between the independent variable x and the dependent variable
y is modelled as an nth degree polynomial in x.
reference:
en.wikipedia.org
www.bragitoff.com
gauss_elimination(A, m, n) Perform Gauss-Elimination and returns the Upper triangular matrix and solution of equations.
Parameters:
A : float matrix, data samples.
m : int, defval=na, number of rows.
n : int, defval=na, number of columns.
Returns: float array with coefficients.
polyfit(X, Y, degree) Fits a polynomial of a degree to (x, y) points.
Parameters:
X : float array, data sample x point.
Y : float array, data sample y point.
degree : int, defval=2, degree of the polynomial.
Returns: float array with coefficients.
note:
p(x) = p * x**deg + ... + p
interpolate(coeffs, x) interpolate the y position at the provided x.
Parameters:
coeffs : float array, coefficients of the polynomial.
x : float, position x to estimate y.
Returns: float.
TPCThemeBlackAndBlue_PublicLibrary "TPCThemeBlackAndBlue_Public"
Provides calculated colors.
colorPrimary()
colorSecondary()
colorTertiary()
labelBgColor()
lHP()
lHS()
lHT()
lV()
TPCColors_PublicLibrary "TPCColors_Public"
Provides calculated colors.
get(colorKey, colorModifier) Returns the length in ms for the given amount of the given interval.
Parameters:
colorKey : Color name, for example "black", "red", or "greenDark"
colorModifier : Color modifier, for example "lightX", "light", or "dark"
Returns: The calculated color.
TPCLines_PublicLibrary "TPCLines_Public"
Helpers for lines
lineVA(start, lines, labels, lineColor, labelBgColor, labelTextColor, highPrice, lowPrice, extend, style, width, labelText, labelSize, labelStyle, labelTextAlign, bi) Draws a vertical line and optional label on the chart.
Parameters:
start : The start bar index or time.
lines : Line array to which the created line will be pushed.
labels : Label array to which the created label will be pushed.
lineColor : The color for the line and label.
labelBgColor : The background color for the label.
labelTextColor : The text color for the label.
highPrice : The upper price for the line.
lowPrice : The lower price for the line.
extend : Options for toggline line extend (extend.right, extend.left, extend.both, or extend.none). If none is provided, provides a best guess.
style : The line's style. Defaults to line.style_dotted.
width : The line's width. Defaults to 1.
labelText : Optional text to display next to the line.
labelSize : The label's size. Defaults to size.tiny.
labelStyle : The label's style. Defaults to label.style_label_left.
labelTextAlign : The label's text alignment. Defaults to text.align_center.
bi : Set true to use bar indices, set false to use time. Defaults to true (use bar indices).
Returns: Nothing. Draws a line and optional label on the chart.
lineHA(price, lines, labels, lineColor, labelBgColor, extend, labelTextColor, labelText, end, start, bi, showPrice, pips, style, width, labelAlign, labelSize, labelStyle, labelTextAlign) Draws a horizontal line and optional label on the chart.
Parameters:
price : The price at which to draw the lie.
lines : Line array to which the created line will be pushed.
labels : Label array to which the created label will be pushed.
lineColor : The color for the line and label.
labelBgColor : The background color for the label.
extend : Options for toggline line extend (extend.right, extend.left, extend.both, or extend.none). Defaults to extend.none.
labelTextColor : The text color for the label.
labelText : Optional text to display next to the line.
end : The time or bar index to end the line at.
start : The time or bar index to start the line at.
bi : Set true to use bar indices, set false to use time. Defaults to true (use bar indices).
showPrice : Option to show the price on the label.
pips : If a value is provided, will be displayed on the label.
style : The line's style. Defaults to line.style_solid.
width : The line's width. Defaults to 1.
labelAlign : Which side of the line to align the label on. Can be r for right, l for left, c for center, or t for the current time.
labelSize : The label's size. Defaults to size.tiny.
labelStyle : The label's style. Defaults to label.style_none.
labelTextAlign : The label's text alignment. Defaults to text.align_center.
Returns: Nothing. Draws a line and optional label on the chart.
lineH()
lineV()
TPCTime_PublicLibrary "TPCTime_Public"
Helpers for calculating time
getTimeOffset(interval, amount) Returns the length in ms for the given amount of the given interval.
Parameters:
interval : Interval to calculate, for example "D" or "60".
amount : Number of intervals for which to calculate the time range in ms.
Returns: The number of ms in the amount of the given interval.
isInTimeRange()
Library CommonLibrary "LibraryCommon"
A collection of custom tools & utility functions commonly used with my scripts
@description TODO: add library description here
getDecimals() Calculates how many decimals are on the quote price of the current market
Returns: The current decimal places on the market quote price
truncate(float, float) Truncates (cuts) excess decimal places
Parameters:
float : number The number to truncate
float : decimalPlaces (default=2) The number of decimal places to truncate to
Returns: The given number truncated to the given decimalPlaces
toWhole(float) Converts pips into whole numbers
Parameters:
float : number The pip number to convert into a whole number
Returns: The converted number
toPips(float) Converts whole numbers back into pips
Parameters:
float : number The whole number to convert into pips
Returns: The converted number
getPctChange(float, float, int) Gets the percentage change between 2 float values over a given lookback period
Parameters:
float : value1 The first value to reference
float : value2 The second value to reference
int : lookback The lookback period to analyze
av_getPositionSize(float, float, float, float) Calculates OANDA forex position size for AutoView based on the given parameters
Parameters:
float : balance The account balance to use
float : risk The risk percentage amount (as a whole number - eg. 1 = 1% risk)
float : stopPoints The stop loss distance in POINTS (not pips)
float : conversionRate The conversion rate of our account balance currency
Returns: The calculated position size (in units - only compatible with OANDA)
bullFib(priceLow, priceHigh, fibRatio) Calculates a bullish fibonacci value
Parameters:
priceLow : The lowest price point
priceHigh : The highest price point
fibRatio : The fibonacci % ratio to calculate
Returns: The fibonacci value of the given ratio between the two price points
bearFib(priceLow, priceHigh, fibRatio) Calculates a bearish fibonacci value
Parameters:
priceLow : The lowest price point
priceHigh : The highest price point
fibRatio : The fibonacci % ratio to calculate
Returns: The fibonacci value of the given ratio between the two price points
getMA(int, string) Gets a Moving Average based on type (MUST BE CALLED ON EVERY CALCULATION)
Parameters:
int : length The MA period
string : maType The type of MA
Returns: A moving average with the given parameters
getEAP(float) Performs EAP stop loss size calculation (eg. ATR >= 20.0 and ATR < 30, returns 20)
Parameters:
float : atr The given ATR to base the EAP SL calculation on
Returns: The EAP SL converted ATR size
getEAP2(float) Performs secondary EAP stop loss size calculation (eg. ATR < 40, add 5 pips, ATR between 40-50, add 10 pips etc)
Parameters:
float : atr The given ATR to base the EAP SL calculation on
Returns: The EAP SL converted ATR size
barsAboveMA(int, float) Counts how many candles are above the MA
Parameters:
int : lookback The lookback period to look back over
float : ma The moving average to check
Returns: The bar count of how many recent bars are above the MA
barsBelowMA(int, float) Counts how many candles are below the MA
Parameters:
int : lookback The lookback period to look back over
float : ma The moving average to reference
Returns: The bar count of how many recent bars are below the EMA
barsCrossedMA(int, float) Counts how many times the EMA was crossed recently
Parameters:
int : lookback The lookback period to look back over
float : ma The moving average to reference
Returns: The bar count of how many times price recently crossed the EMA
getPullbackBarCount(int, int) Counts how many green & red bars have printed recently (ie. pullback count)
Parameters:
int : lookback The lookback period to look back over
int : direction The color of the bar to count (1 = Green, -1 = Red)
Returns: The bar count of how many candles have retraced over the given lookback & direction
getBodySize() Gets the current candle's body size (in POINTS, divide by 10 to get pips)
Returns: The current candle's body size in POINTS
getTopWickSize() Gets the current candle's top wick size (in POINTS, divide by 10 to get pips)
Returns: The current candle's top wick size in POINTS
getBottomWickSize() Gets the current candle's bottom wick size (in POINTS, divide by 10 to get pips)
Returns: The current candle's bottom wick size in POINTS
getBodyPercent() Gets the current candle's body size as a percentage of its entire size including its wicks
Returns: The current candle's body size percentage
isHammer(float, bool) Checks if the current bar is a hammer candle based on the given parameters
Parameters:
float : fib (default=0.382) The fib to base candle body on
bool : colorMatch (default=false) Does the candle need to be green? (true/false)
Returns: A boolean - true if the current bar matches the requirements of a hammer candle
isStar(float, bool) Checks if the current bar is a shooting star candle based on the given parameters
Parameters:
float : fib (default=0.382) The fib to base candle body on
bool : colorMatch (default=false) Does the candle need to be red? (true/false)
Returns: A boolean - true if the current bar matches the requirements of a shooting star candle
isDoji(float, bool) Checks if the current bar is a doji candle based on the given parameters
Parameters:
float : wickSize (default=2) The maximum top wick size compared to the bottom (and vice versa)
bool : bodySize (default=0.05) The maximum body size as a percentage compared to the entire candle size
Returns: A boolean - true if the current bar matches the requirements of a doji candle
isBullishEC(float, float, bool) Checks if the current bar is a bullish engulfing candle
Parameters:
float : allowance (default=0) How many POINTS to allow the open to be off by (useful for markets with micro gaps)
float : rejectionWickSize (default=disabled) The maximum rejection wick size compared to the body as a percentage
bool : engulfWick (default=false) Does the engulfing candle require the wick to be engulfed as well?
Returns: A boolean - true if the current bar matches the requirements of a bullish engulfing candle
isBearishEC(float, float, bool) Checks if the current bar is a bearish engulfing candle
Parameters:
float : allowance (default=0) How many POINTS to allow the open to be off by (useful for markets with micro gaps)
float : rejectionWickSize (default=disabled) The maximum rejection wick size compared to the body as a percentage
bool : engulfWick (default=false) Does the engulfing candle require the wick to be engulfed as well?
Returns: A boolean - true if the current bar matches the requirements of a bearish engulfing candle
isInsideBar() Detects inside bars
Returns: Returns true if the current bar is an inside bar
isOutsideBar() Detects outside bars
Returns: Returns true if the current bar is an outside bar
barInSession(string, bool) Determines if the current price bar falls inside the specified session
Parameters:
string : sess The session to check
bool : useFilter (default=true) Whether or not to actually use this filter
Returns: A boolean - true if the current bar falls within the given time session
barOutSession(string, bool) Determines if the current price bar falls outside the specified session
Parameters:
string : sess The session to check
bool : useFilter (default=true) Whether or not to actually use this filter
Returns: A boolean - true if the current bar falls outside the given time session
dateFilter(int, int) Determines if this bar's time falls within date filter range
Parameters:
int : startTime The UNIX date timestamp to begin searching from
int : endTime the UNIX date timestamp to stop searching from
Returns: A boolean - true if the current bar falls within the given dates
dayFilter(bool, bool, bool, bool, bool, bool, bool) Checks if the current bar's day is in the list of given days to analyze
Parameters:
bool : monday Should the script analyze this day? (true/false)
bool : tuesday Should the script analyze this day? (true/false)
bool : wednesday Should the script analyze this day? (true/false)
bool : thursday Should the script analyze this day? (true/false)
bool : friday Should the script analyze this day? (true/false)
bool : saturday Should the script analyze this day? (true/false)
bool : sunday Should the script analyze this day? (true/false)
Returns: A boolean - true if the current bar's day is one of the given days
atrFilter()
fillCell()