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, supertrendLength)
calculates zigzag and related information
Parameters:
length (simple int) : is zigzag length
ohlc (array) : array of OHLC values to be used for zigzag calculation
indicatorHigh (array) : Array of indicator values calculated based on high price of OHLC
indicatorLow (array) : Array of indicators values calculated based on low price of OHLC
numberOfPivots (simple int) : Number of pivots to be returned
supertrendLength (simple int) : is number of pivot history to calculate supertrend
Returns: valueMatrix Matrix containing zigzag pivots for price and indicators
directionMatrix Matrix containing direction of price and indicator values at pivots
ratioMatrix Matrix containing ratios of price and indicator values at pivots
divergenceMatrix matrix containing divergence details for each indicators
doubleDivergenceMatrix matrix containing double divergence details for each indicators
barArray Array containing pivot bars
supertrendDir is direction of zigzag based supertrend
supertrend is supertrend value of zigzag based supertrend
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)
calculateplain(length, ohlc, indicatorHigh, indicatorLow, numberOfPivots, offset)
calculates zigzag and related information uses shift/unshift rather than pop and push. Also does not calculate divergence and ratios.
Parameters:
length (simple int) : is zigzag length
ohlc (array) : array of OHLC values to be used for zigzag calculation
indicatorHigh (array) : Array of indicator values calculated based on high price of OHLC
indicatorLow (array) : Array of indicators values calculated based on low price of OHLC
numberOfPivots (simple int) : Number of pivots to be returned
offset (simple int)
Returns: valueMatrix Matrix containing zigzag pivots for price and indicators
directionArray Matrix containing direction of price and indicator values at pivots
barArray Array containing pivot bars
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(valueMatrix, directionMatrix, ratioMatrix, divergenceMatrix, doubleDivergenceMatrix, barArray, newZG, doubleZG, indicatorLabels, lineColor, lineWidth, lineStyle, showLabel, showIndicators)
draws zigzag and related information based on preprocessed values
Parameters:
valueMatrix (matrix) : is matrix containing values of price and indicators
directionMatrix (matrix) : is matrix containing direction of price and indicators
ratioMatrix (matrix) : is matrix containing retracement ratios of price and indicators
divergenceMatrix (matrix)
doubleDivergenceMatrix (matrix)
barArray (array) : is array of pivot bars
newZG (bool) : is bool which tells whether new zigzag pivot is formed or not
doubleZG (bool) : is bool which teels us if the bar has both high and low zigzag
indicatorLabels (array)
lineColor (color) : zigzag line color. set to blue by default
lineWidth (int) : zigzag line width. set to 1 by default
lineStyle (string) : zigzag line style. set to line.style_solid by default
showLabel (bool) : Show pivot label
showIndicators (bool) : Include indicators in labels. If set to false, indicators are shown as tooltips
Returns: valueMatrix Matrix containing zigzag pivots for price and indicators
directionMatrix Matrix containing direction of price and indicator values at pivots
ratioMatrix Matrix containing ratios of price and indicator values at pivots
divergenceMatrix matrix containing divergence details for each indicators
doubleDivergenceMatrix matrix containing double divergence details for each indicators
barArray Array containing pivot bars
zigzaglines array of zigzag lines
zigzaglabels array of zigzag labels
draw(length, ohlc, indicatorLabels, indicatorHigh, indicatorLow, numberOfPivots, lineColor, lineWidth, lineStyle, showLabel, showIndicators)
draws zigzag and related information
Parameters:
length (simple int) : is zigzag length
ohlc (array) : array of OHLC values to be used for zigzag calculation
indicatorLabels (array) : Array of name of indicators passed
indicatorHigh (array) : Array of indicator values calculated based on high price of OHLC
indicatorLow (array) : Array of indicators values calculated based on low price of OHLC
numberOfPivots (simple int) : Number of pivots to be returned
lineColor (color) : zigzag line color. set to blue by default
lineWidth (int) : zigzag line width. set to 1 by default
lineStyle (string) : zigzag line style. set to line.style_solid by default
showLabel (bool) : Show pivot label
showIndicators (bool) : Include indicators in labels. If set to false, indicators are shown as tooltips
Returns: valueMatrix Matrix containing zigzag pivots for price and indicators
directionMatrix Matrix containing direction of price and indicator values at pivots
ratioMatrix Matrix containing ratios of price and indicator values at pivots
divergenceMatrix matrix containing divergence details for each indicators
doubleDivergenceMatrix matrix containing double divergence details for each indicators
barArray Array containing pivot bars
zigzaglines array of zigzag lines
zigzaglabels array of zigzag labels
Arrays
supertrendLibrary "supertrend"
supertrend : Library dedicated to different variations of supertrend
supertrend_atr(length, multiplier, atrMaType, source, highSource, lowSource, waitForClose, delayed)
supertrend_atr: Simple supertrend based on atr but also takes into consideration of custom MA Type, sources
Parameters:
length (simple int) : : ATR Length
multiplier (simple float) : : ATR Multiplier
atrMaType (simple string) : : Moving Average type for ATR calculation. This can be sma, ema, hma, rma, wma, vwma, swma
source (float) : : Default is close. Can Chose custom source
highSource (float) : : Default is high. Can also use close price for both high and low source
lowSource (float) : : Default is low. Can also use close price for both high and low source
waitForClose (simple bool) : : Considers source for direction change crossover if checked. Else, uses highSource and lowSource.
delayed (simple bool) : : if set to true lags supertrend atr stop based on target levels.
Returns: dir : Supertrend direction
supertrend : BuyStop if direction is 1 else SellStop
supertrend_bands(bandType, maType, length, multiplier, source, highSource, lowSource, waitForClose, useTrueRange, useAlternateSource, alternateSource, sticky)
supertrend_bands: Simple supertrend based on atr but also takes into consideration of custom MA Type, sources
Parameters:
bandType (simple string) : : Type of band used - can be bb, kc or dc
maType (simple string) : : Moving Average type for Bands. This can be sma, ema, hma, rma, wma, vwma, swma
length (simple int) : : Band Length
multiplier (float) : : Std deviation or ATR multiplier for Bollinger Bands and Keltner Channel
source (float) : : Default is close. Can Chose custom source
highSource (float) : : Default is high. Can also use close price for both high and low source
lowSource (float) : : Default is low. Can also use close price for both high and low source
waitForClose (simple bool) : : Considers source for direction change crossover if checked. Else, uses highSource and lowSource.
useTrueRange (simple bool) : : Used for Keltner channel. If set to false, then high-low is used as range instead of true range
useAlternateSource (simple bool) : - Custom source is used for Donchian Chanbel only if useAlternateSource is set to true
alternateSource (float) : - Custom source for Donchian channel
sticky (simple bool) : : if set to true borders change only when price is beyond borders.
Returns: dir : Supertrend direction
supertrend : BuyStop if direction is 1 else SellStop
supertrend_zigzag(length, history, useAlternativeSource, alternativeSource, source, highSource, lowSource, waitForClose, atrlength, multiplier, atrMaType)
supertrend_zigzag: Zigzag pivot based supertrend
Parameters:
length (simple int) : : Zigzag Length
history (simple int) : : number of historical pivots to consider
useAlternativeSource (simple bool)
alternativeSource (float)
source (float) : : Default is close. Can Chose custom source
highSource (float) : : Default is high. Can also use close price for both high and low source
lowSource (float) : : Default is low. Can also use close price for both high and low source
waitForClose (simple bool) : : Considers source for direction change crossover if checked. Else, uses highSource and lowSource.
atrlength (simple int) : : ATR Length
multiplier (simple float) : : ATR Multiplier
atrMaType (simple string) : : Moving Average type for ATR calculation. This can be sma, ema, hma, rma, wma, vwma, swma
Returns: dir : Supertrend direction
supertrend : BuyStop if direction is 1 else SellStop
zupertrend(length, history, useAlternativeSource, alternativeSource, source, highSource, lowSource, waitForClose, atrlength, multiplier, atrMaType)
zupertrend: Zigzag pivot based supertrend
Parameters:
length (simple int) : : Zigzag Length
history (simple int) : : number of historical pivots to consider
useAlternativeSource (simple bool)
alternativeSource (float)
source (float) : : Default is close. Can Chose custom source
highSource (float) : : Default is high. Can also use close price for both high and low source
lowSource (float) : : Default is low. Can also use close price for both high and low source
waitForClose (simple bool) : : Considers source for direction change crossover if checked. Else, uses highSource and lowSource.
atrlength (simple int) : : ATR Length
multiplier (simple float) : : ATR Multiplier
atrMaType (simple string) : : Moving Average type for ATR calculation. This can be sma, ema, hma, rma, wma, vwma, swma
Returns: dir : Supertrend direction
supertrend : BuyStop if direction is 1 else SellStop
zsupertrend(zigzagpivots, history, source, highSource, lowSource, waitForClose, atrMaType, atrlength, multiplier)
zsupertrend: Same as zigzag supertrend. But, works on already calculated array rather than Calculating fresh zigzag
Parameters:
zigzagpivots (array) : : Precalculated zigzag pivots
history (simple int) : : number of historical pivots to consider
source (float) : : Default is close. Can Chose custom source
highSource (float) : : Default is high. Can also use close price for both high and low source
lowSource (float) : : Default is low. Can also use close price for both high and low source
waitForClose (simple bool) : : Considers source for direction change crossover if checked. Else, uses highSource and lowSource.
atrMaType (simple string) : : Moving Average type for ATR calculation. This can be sma, ema, hma, rma, wma, vwma, swma
atrlength (simple int) : : ATR Length
multiplier (simple float) : : ATR Multiplier
Returns: dir : Supertrend direction
supertrend : BuyStop if direction is 1 else SellStop
msupertrend(bandType, source, maType, length, useTrueRange, highSource, lowSource, waitForClose, numberOfBands, multiplierStart, multiplierStep, trailingDistance, trailStates)
msupertrend : Dynamic trailing supertrend based on multiple bands - either bollinger bands or keltener channel
Parameters:
bandType (simple string) : : Band type - can be either bb or kc
source (float) : : custom source if required
maType (simple string) : : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length (simple int) : : Oscillator length - not used for TSI
useTrueRange (simple bool) : : if set to false, uses high-low.
highSource (float) : : Default is high. Can also use close price for both high and low source
lowSource (float) : : Default is low. Can also use close price for both high and low source
waitForClose (simple bool) : : Considers source for direction change crossover if checked. Else, uses highSource and lowSource.
numberOfBands (simple int) : : Number of bands to generate
multiplierStart (simple float) : : Starting ATR or Standard deviation multiplier for first band
multiplierStep (simple float) : : Incremental value for multiplier for each band
trailingDistance (simple int) : : Number of band states to trail for trailing stop.
trailStates (simple bool) : : If selected trails the band states along with trailing price. If unselected only price is trailed.
Returns: dir : Supertrend direction
supertrend : BuyStop if direction is 1 else SellStop
zigzagLibrary "zigzag"
Library dedicated to zigzags and related indicators
zigzag(length, numberOfPivots, useAlternativeSource, source, oscillatorSource, oscillatorHighSource, oscillatorLowSource, directionBias, divergenceOption)
zigzag: Calculates zigzag pivots and generates an array
Parameters:
length (int) : : Zigzag Length
numberOfPivots (simple int) : : Max number of pivots to return in the array. Default is 20
useAlternativeSource (simple bool) : : If set uses the source for genrating zigzag. Default is false
source (float) : : Alternative source used only if useAlternativeSource is set to true. Default is close
oscillatorSource (float) : : Oscillator source for calculating divergence
oscillatorHighSource (float)
oscillatorLowSource (float)
directionBias (int) : : Direction bias for calculating divergence
divergenceOption (int) : : 1 - hidden/regular, 2 - regular, 3 - hidden
Returns: zigzagpivots : Array containing zigzag pivots
zigzagpivotbars : Array containing zigzag pivot bars
zigzagpivotdirs : Array containing zigzag pivot directions (Lower High : 1, Higher High : 2, Lower Low : -2 and Higher Low : -1)
zigzagpivotratios : Array containing zigzag retracement ratios for each pivot
zigzagoscillators : Array of oscillator values at pivots. Will have valid values only if valid oscillatorSource is provided as per input.
zigzagoscillatordirs: Array of oscillator directions (HH, HL, LH, LL) at pivots. Will have valid values only if valid oscillatorSource is provided as per input.
zigzagtrendbias : Array of trend bias at pivots. Will have valid value only if directionBias series is sent in input parameters
zigzagdivergence : Array of divergence sentiment at each pivot. Will have valid values only if oscillatorSource and directionBias inputs are provided
newPivot : Returns true if new pivot created
doublePivot : Returns true if two new pivots are created on same bar (Happens in case of candles with long wicks and shorter zigzag lengths)
czigzag(length, numberOfPivots, highSource, lowSource, oscillatorHighSource, oscillatorLowSource, directionBias, divergenceOption)
czigzag: Calculates zigzag pivots and generates an array based on custom high and low source
Parameters:
length (int) : : Zigzag Length
numberOfPivots (simple int) : : Max number of pivots to return in the array. Default is 20
highSource (float) : : High Source for prices to calculate zigzag.
lowSource (float) : : Low source for prices to calculate zigzag.
oscillatorHighSource (float) : : Oscillator high source for calculating divergence
oscillatorLowSource (float) : : Oscillator high source for calculating divergence
directionBias (int) : : Direction bias for calculating divergence
divergenceOption (int) : : 1 - hidden/regular, 2 - regular, 3 - hidden
Returns: zigzagpivots : Array containing zigzag pivots
zigzagpivotbars : Array containing zigzag pivot bars
zigzagpivotdirs : Array containing zigzag pivot directions (Lower High : 1, Higher High : 2, Lower Low : -2 and Higher Low : -1)
zigzagpivotratios : Array containing zigzag retracement ratios for each pivot
zigzagoscillators : Array of oscillator values at pivots. Will have valid values only if valid oscillatorSource is provided as per input.
zigzagoscillatordirs: Array of oscillator directions (HH, HL, LH, LL) at pivots. Will have valid values only if valid oscillatorSource is provided as per input.
zigzagtrendbias : Array of trend bias at pivots. Will have valid value only if directionBias series is sent in input parameters
zigzagdivergence : Array of divergence sentiment at each pivot. Will have valid values only if oscillatorSource and directionBias inputs are provided
zigzagdoubledivergence : Array of double divergence sentiment at each pivot
newPivot : Returns true if new pivot created
doublePivot : Returns true if two new pivots are created on same bar (Happens in case of candles with long wicks and shorter zigzag lengths)
drawczigzag(length, numberOfPivots, highSource, lowSource, oscillatorHighSource, oscillatorLowSource, directionBias, showHighLow, showRatios, showDivergence, showDoubleDivergence, showIndicator, linecolor, linewidth, linestyle)
drawczigzag: Calculates and draws zigzag pivots and generates an array based on custom high and low source
Parameters:
length (int) : : Zigzag Length
numberOfPivots (simple int) : : Max number of pivots to return in the array. Default is 20
highSource (float) : : High Source for prices to calculate zigzag.
lowSource (float) : : Low source for prices to calculate zigzag.
oscillatorHighSource (float) : : Oscillator high source for calculating divergence
oscillatorLowSource (float) : : Oscillator high source for calculating divergence
directionBias (int) : : Direction bias for calculating divergence
showHighLow (simple bool) : : show highlow label
showRatios (simple bool) : : show retracement ratios
showDivergence (simple bool) : : Show divergence on label (Only works if divergence data is available - that is if we pass valid oscillatorSource and directionBias input)
showDoubleDivergence (simple bool) : : Show double divergence label
showIndicator (simple bool)
linecolor (color) : : zigzag line color
linewidth (int) : : zigzag line width
linestyle (string) : : zigzag line style
Returns: zigzagpivots : Array containing zigzag pivots
zigzagpivotbars : Array containing zigzag pivot bars
zigzagpivotdirs : Array containing zigzag pivot directions (Lower High : 1, Higher High : 2, Lower Low : -2 and Higher Low : -1)
zigzagpivotratios : Array containing zigzag retracement ratios for each pivot
zigzagoscillators : Array of oscillator values at pivots. Will have valid values only if valid oscillatorSource is provided as per input.
zigzagoscillatordirs: Array of oscillator directions (HH, HL, LH, LL) at pivots. Will have valid values only if valid oscillatorSource is provided as per input.
zigzagtrendbias : Array of trend bias at pivots. Will have valid value only if directionBias series is sent in input parameters
zigzagdivergence : Array of divergence sentiment at each pivot. Will have valid values only if oscillatorSource and directionBias inputs are provided
zigzagdoubledivergence : Array of double divergence sentiment at each pivot
zigzaglines : Returns array of zigzag lines
zigzaglabels : Returns array of zigzag labels
drawczigzag2(length, numberOfPivots, highSource, lowSource, oscillatorHighSource, oscillatorLowSource, directionBias, showHighLow, showRatios, showDivergence, showDoubleDivergence, showIndicator, linecolor, linewidth, linestyle)
drawczigzag2: Same as drawczigzag. But, returns newPivot and doublePivot bools as well.
Parameters:
length (int) : : Zigzag Length
numberOfPivots (simple int) : : Max number of pivots to return in the array. Default is 20
highSource (float) : : High Source for prices to calculate zigzag.
lowSource (float) : : Low source for prices to calculate zigzag.
oscillatorHighSource (float) : : Oscillator high source for calculating divergence
oscillatorLowSource (float) : : Oscillator high source for calculating divergence
directionBias (int) : : Direction bias for calculating divergence
showHighLow (simple bool) : : show highlow label
showRatios (simple bool) : : show retracement ratios
showDivergence (simple bool) : : Show divergence on label (Only works if divergence data is available - that is if we pass valid oscillatorSource and directionBias input)
showDoubleDivergence (simple bool) : : Show double divergence label
showIndicator (simple bool)
linecolor (color) : : zigzag line color
linewidth (int) : : zigzag line width
linestyle (string) : : zigzag line style
Returns: zigzagpivots : Array containing zigzag pivots
zigzagpivotbars : Array containing zigzag pivot bars
zigzagpivotdirs : Array containing zigzag pivot directions (Lower High : 1, Higher High : 2, Lower Low : -2 and Higher Low : -1)
zigzagpivotratios : Array containing zigzag retracement ratios for each pivot
zigzagoscillators : Array of oscillator values at pivots. Will have valid values only if valid oscillatorSource is provided as per input.
zigzagoscillatordirs: Array of oscillator directions (HH, HL, LH, LL) at pivots. Will have valid values only if valid oscillatorSource is provided as per input.
zigzagtrendbias : Array of trend bias at pivots. Will have valid value only if directionBias series is sent in input parameters
zigzagdivergence : Array of divergence sentiment at each pivot. Will have valid values only if oscillatorSource and directionBias inputs are provided
zigzagdoubledivergence : Array of double divergence sentiment at each pivot
zigzaglines : Returns array of zigzag lines
zigzaglabels : Returns array of zigzag labels
drawzigzag(length, numberOfPivots, useAlternativeSource, source, linecolor, linewidth, linestyle, oscillatorSource, oscillatorHighSource, oscillatorLowSource, directionBias, showHighLow, showRatios, showDivergence)
drawzigzag: Calculates and draws zigzag pivots
Parameters:
length (int) : : Zigzag Length
numberOfPivots (simple int) : : Max number of pivots to return in the array. Default is 20
useAlternativeSource (simple bool)
source (float) : : Alternative source used only if useAlternativeSource is set to true. Default is close
linecolor (color) : : zigzag line color
linewidth (int) : : zigzag line width
linestyle (string) : : zigzag line style
oscillatorSource (float) : : Oscillator source for calculating divergence
oscillatorHighSource (float)
oscillatorLowSource (float)
directionBias (int) : : Direction bias for calculating divergence
showHighLow (simple bool) : : show highlow label
showRatios (simple bool) : : show retracement ratios
showDivergence (simple bool) : : Show divergence on label (Only works if divergence data is available - that is if we pass valid oscillatorSource and directionBias input)
Returns: zigzagpivots : Array containing zigzag pivots
zigzagpivotbars : Array containing zigzag pivot bars
zigzagpivotdirs : Array containing zigzag pivot directions (Lower High : 1, Higher High : 2, Lower Low : -2 and Higher Low : -1)
zigzagpivotratios : Array containing zigzag retracement ratios for each pivot
zigzagoscillators : Array of oscillator values at pivots. Will have valid values only if valid oscillatorSource is provided as per input.
zigzagoscillatordirs: Array of oscillator directions (HH, HL, LH, LL) at pivots. Will have valid values only if valid oscillatorSource is provided as per input.
zigzagtrendbias : Array of trend bias at pivots. Will have valid value only if directionBias series is sent in input parameters
zigzagdivergence : Array of divergence sentiment at each pivot. Will have valid values only if oscillatorSource and directionBias inputs are provided
zigzaglines : Returns array of zigzag lines
zigzaglabels : Returns array of zigzag labels
_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
delete(mtx, rowNumber)
deletes row from a matrix
Parameters:
mtx (matrix) : matrix of objects
rowNumber (int) : row index to be deleted
Returns: void
delete(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
delete(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
delete(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
delete(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
delete(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
delete(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
delete(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
delete(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
delete(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
remove(mtx, rowNumber)
remove row from a matrix and returns them to caller
Parameters:
mtx (matrix) : matrix of objects
rowNumber (int) : row index to be deleted
Returns: type
remove(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
remove(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
remove(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
remove(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
remove(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
remove(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
remove(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
remove(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
remove(mtx, rowNumber)
Parameters:
mtx (matrix)
rowNumber (int)
unshift(mtx, row, maxItems)
unshift array of lines to first row of the matrix
Parameters:
mtx (matrix) : matrix of lines
row (array) : array of lines to be inserted in row
maxItems (simple int)
Returns: resulting matrix of type
unshift(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
unshift(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
unshift(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
unshift(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
unshift(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
unshift(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
unshift(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
unshift(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
unshift(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
push(mtx, row, maxItems)
push array of lines to end of the matrix row
Parameters:
mtx (matrix) : matrix of lines
row (array) : array of lines to be inserted in row
maxItems (simple int)
Returns: resulting matrix of lines
push(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
push(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
push(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
push(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
push(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
push(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
push(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
push(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
push(mtx, row, maxItems)
Parameters:
mtx (matrix)
row (array)
maxItems (simple int)
shift(mtx)
shift removes first row from matrix of lines
Parameters:
mtx (matrix) : matrix of lines from which the shift operation need to be performed
Returns: void
shift(mtx)
Parameters:
mtx (matrix)
shift(mtx)
Parameters:
mtx (matrix)
shift(mtx)
Parameters:
mtx (matrix)
shift(mtx)
Parameters:
mtx (matrix)
shift(mtx)
Parameters:
mtx (matrix)
shift(mtx)
Parameters:
mtx (matrix)
shift(mtx)
Parameters:
mtx (matrix)
shift(mtx)
Parameters:
mtx (matrix)
shift(mtx)
Parameters:
mtx (matrix)
rshift(mtx)
rshift removes first row from matrix of lines and returns them as array
Parameters:
mtx (matrix) : matrix of lines from which the rshift operation need to be performed
Returns: type
rshift(mtx)
Parameters:
mtx (matrix)
rshift(mtx)
Parameters:
mtx (matrix)
rshift(mtx)
Parameters:
mtx (matrix)
rshift(mtx)
Parameters:
mtx (matrix)
rshift(mtx)
Parameters:
mtx (matrix)
rshift(mtx)
Parameters:
mtx (matrix)
rshift(mtx)
Parameters:
mtx (matrix)
rshift(mtx)
Parameters:
mtx (matrix)
rshift(mtx)
Parameters:
mtx (matrix)
pop(mtx)
pop removes last row from matrix of lines
Parameters:
mtx (matrix) : matrix of lines from which the pop operation need to be performed
Returns: void
pop(mtx)
Parameters:
mtx (matrix)
pop(mtx)
Parameters:
mtx (matrix)
pop(mtx)
Parameters:
mtx (matrix)
pop(mtx)
Parameters:
mtx (matrix)
pop(mtx)
Parameters:
mtx (matrix)
pop(mtx)
Parameters:
mtx (matrix)
pop(mtx)
Parameters:
mtx (matrix)
pop(mtx)
Parameters:
mtx (matrix)
pop(mtx)
Parameters:
mtx (matrix)
rpop(mtx)
rpop removes last row from matrix of lines and reutnrs the array to caller
Parameters:
mtx (matrix) : matrix of lines from which the rpop operation need to be performed
Returns: void
rpop(mtx)
Parameters:
mtx (matrix)
rpop(mtx)
Parameters:
mtx (matrix)
rpop(mtx)
Parameters:
mtx (matrix)
rpop(mtx)
Parameters:
mtx (matrix)
rpop(mtx)
Parameters:
mtx (matrix)
rpop(mtx)
Parameters:
mtx (matrix)
rpop(mtx)
Parameters:
mtx (matrix)
rpop(mtx)
Parameters:
mtx (matrix)
rpop(mtx)
Parameters:
mtx (matrix)
clear(mtx)
clear clears the matrix
Parameters:
mtx (matrix) : matrix of lines which needs to be cleared
Returns: void
clear(mtx)
Parameters:
mtx (matrix)
clear(mtx)
Parameters:
mtx (matrix)
clear(mtx)
Parameters:
mtx (matrix)
clear(mtx)
Parameters:
mtx (matrix)
clear(mtx)
Parameters:
mtx (matrix)
clear(mtx)
Parameters:
mtx (matrix)
clear(mtx)
Parameters:
mtx (matrix)
clear(mtx)
Parameters:
mtx (matrix)
clear(mtx)
Parameters:
mtx (matrix)
rclear(mtx)
clear clears the matrix but retains the drawing objects
Parameters:
mtx (matrix) : matrix of lines which needs to be cleared
Returns: void
rclear(mtx)
Parameters:
mtx (matrix)
rclear(mtx)
Parameters:
mtx (matrix)
rclear(mtx)
Parameters:
mtx (matrix)
rclear(mtx)
Parameters:
mtx (matrix)
rclear(mtx)
Parameters:
mtx (matrix)
rclear(mtx)
Parameters:
mtx (matrix)
rclear(mtx)
Parameters:
mtx (matrix)
rclear(mtx)
Parameters:
mtx (matrix)
rclear(mtx)
Parameters:
mtx (matrix)
arraysLibrary "arrays"
Library contains utility functions using arrays. These are mostly customized for personal use. Hence, will not add documentation to it.
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (int)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (float)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (bool)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (string)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (color)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (line)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (label)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (box)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (table)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (linefill)
maxItems (simple int)
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
push(arr, val, maxItems)
Parameters:
arr (array)
val (int)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (float)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (bool)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (string)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (color)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (line)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (label)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (box)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (table)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (linefill)
maxItems (simple int)
enhanced_taLibrary "enhanced_ta"
ma(source, maType, length)
returns custom moving averages
Parameters:
source (float) : Moving Average Source
maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length (simple int) : Moving Average Length
Returns: moving average for the given type and length
atr(maType, length)
returns ATR with custom moving average
Parameters:
maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length (simple int) : Moving Average Length
Returns: ATR for the given moving average type and length
atrpercent(maType, length)
returns ATR as percentage of close price
Parameters:
maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length (simple int) : Moving Average Length
Returns: ATR as percentage of close price for the given moving average type and length
bb(source, maType, length, multiplier, sticky)
returns Bollinger band for custom moving average
Parameters:
source (float) : Moving Average Source
maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length (simple int) : Moving Average Length
multiplier (float) : Standard Deviation multiplier
sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.
Returns: Bollinger band with custom moving average for given source, length and multiplier
bbw(source, maType, length, multiplier, sticky)
returns Bollinger bandwidth for custom moving average
Parameters:
source (float) : Moving Average Source
maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length (simple int) : Moving Average Length
multiplier (float) : Standard Deviation multiplier
sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.
Returns: Bollinger Bandwidth for custom moving average for given source, length and multiplier
bpercentb(source, maType, length, multiplier, sticky)
returns Bollinger Percent B for custom moving average
Parameters:
source (float) : Moving Average Source
maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length (simple int) : Moving Average Length
multiplier (float) : Standard Deviation multiplier
sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.
Returns: Bollinger Percent B for custom moving average for given source, length and multiplier
kc(source, maType, length, multiplier, useTrueRange, sticky)
returns Keltner Channel for custom moving average
Parameters:
source (float) : Moving Average Source
maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length (simple int) : Moving Average Length
multiplier (float) : Standard Deviation multiplier
useTrueRange (simple bool) : - if set to false, uses high-low.
sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.
Returns: Keltner Channel for custom moving average for given souce, length and multiplier
kcw(source, maType, length, multiplier, useTrueRange, sticky)
returns Keltner Channel Width with custom moving average
Parameters:
source (float) : Moving Average Source
maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length (simple int) : Moving Average Length
multiplier (float) : Standard Deviation multiplier
useTrueRange (simple bool) : - if set to false, uses high-low.
sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.
Returns: Keltner Channel Width for custom moving average
kpercentk(source, maType, length, multiplier, useTrueRange, sticky)
returns Keltner Channel Percent K Width with custom moving average
Parameters:
source (float) : Moving Average Source
maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length (simple int) : Moving Average Length
multiplier (float) : Standard Deviation multiplier
useTrueRange (simple bool) : - if set to false, uses high-low.
sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.
Returns: Keltner Percent K for given moving average, source, length and multiplier
dc(length, useAlternateSource, alternateSource, sticky)
returns Custom Donchian Channel
Parameters:
length (simple int) : - donchian channel length
useAlternateSource (simple bool) : - Custom source is used only if useAlternateSource is set to true
alternateSource (float) : - Custom source
sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.
Returns: Donchian channel
dcw(length, useAlternateSource, alternateSource, sticky)
returns Donchian Channel Width
Parameters:
length (simple int) : - donchian channel length
useAlternateSource (simple bool) : - Custom source is used only if useAlternateSource is set to true
alternateSource (float) : - Custom source
sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.
Returns: Donchian channel width
dpercentd(length, useAlternateSource, alternateSource, sticky)
returns Donchian Channel Percent of price
Parameters:
length (simple int) : - donchian channel length
useAlternateSource (simple bool) : - Custom source is used only if useAlternateSource is set to true
alternateSource (float) : - Custom source
sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.
Returns: Donchian channel Percent D
oscillatorRange(source, method, highlowLength, rangeLength, sticky)
oscillatorRange - returns Custom overbought/oversold areas for an oscillator input
Parameters:
source (float) : - Osillator source such as RSI, COG etc.
method (simple string) : - Valid values for method are : sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
highlowLength (simple int) : - length on which highlow of the oscillator is calculated
rangeLength (simple int) : - length used for calculating oversold/overbought range - usually same as oscillator length
sticky (simple bool) : - overbought, oversold levels won't change unless crossed
Returns: Dynamic overbought and oversold range for oscillator input
oscillator(type, length, shortLength, longLength, source, highSource, lowSource, method, highlowLength, sticky)
oscillator - returns Choice of oscillator with custom overbought/oversold range
Parameters:
type (simple string) : - oscillator type. Valid values : cci, cmo, cog, mfi, roc, rsi, stoch, tsi, wpr
length (simple int) : - Oscillator length - not used for TSI
shortLength (simple int) : - shortLength only used for TSI
longLength (simple int) : - longLength only used for TSI
source (float) : - custom source if required
highSource (float) : - custom high source for stochastic oscillator
lowSource (float) : - custom low source for stochastic oscillator
method (simple string) : - Valid values for method are : sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
highlowLength (simple int) : - length on which highlow of the oscillator is calculated
sticky (simple bool) : - overbought, oversold levels won't change unless crossed
Returns: Oscillator value along with dynamic overbought and oversold range for oscillator input
multibands(bandType, source, maType, length, useTrueRange, sticky, numberOfBands, multiplierStart, multiplierStep)
multibands - returns Choice of oscillator with custom overbought/oversold range
Parameters:
bandType (simple string) : - Band type - can be either bb or kc
source (float) : - custom source if required
maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length (simple int) : - Oscillator length - not used for TSI
useTrueRange (simple bool) : - if set to false, uses high-low.
sticky (simple bool) : - for sticky borders which only change upon source crossover/crossunder
numberOfBands (simple int) : - Number of bands to generate
multiplierStart (simple float) : - Starting ATR or Standard deviation multiplier for first band
multiplierStep (simple float) : - Incremental value for multiplier for each band
Returns: array of band values sorted in ascending order
mbandoscillator(bandType, source, maType, length, useTrueRange, stickyBands, numberOfBands, multiplierStart, multiplierStep)
mbandoscillator - Multiband oscillator created on the basis of bands
Parameters:
bandType (simple string) : - Band type - can be either bb or kc
source (float) : - custom source if required
maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length (simple int) : - Oscillator length - not used for TSI
useTrueRange (simple bool) : - if set to false, uses high-low.
stickyBands (simple bool) : - for sticky borders which only change upon source crossover/crossunder for band detection
numberOfBands (simple int) : - Number of bands to generate
multiplierStart (simple float) : - Starting ATR or Standard deviation multiplier for first band
multiplierStep (simple float) : - Incremental value for multiplier for each band
Returns: oscillator currentStates - Array containing states for last n bars
timer(timeStart, timeEnd)
finds difference between two timestamps
Parameters:
timeStart (int) : - start timestamp
timeEnd (int)
arrayutilsLibrary "arrayutils"
delete(arr, index)
remove an item from array at specific index. Also deletes the item
Parameters:
arr (array) : - array from which the item needs to be deleted
index (int) : - index of item to be deleted
Returns: void
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
delete(arr, index)
Parameters:
arr (array)
index (int)
pop(arr)
remove the last item from array. Also deletes the item
Parameters:
arr (array) : - array from which the last item needs to be removed and deleted
Returns: void
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
pop(arr)
Parameters:
arr (array)
shift(arr)
remove an item from array at index 0. Also deletes the item
Parameters:
arr (array) : - array from which the first item needs to be removed and deleted
Returns: void
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
shift(arr)
Parameters:
arr (array)
unshift(arr, val, maxItems)
add an item to the beginning of an array with max items cap
Parameters:
arr (array) : - array to which the item needs to be added at the beginning
val (int) : - value of item which needs to be added
maxItems (simple int) : - max items array can hold. After that, items are removed from the other end
Returns: resulting array
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (float)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (bool)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (string)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (color)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (line)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (label)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (box)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (table)
maxItems (simple int)
unshift(arr, val, maxItems)
Parameters:
arr (array)
val (linefill)
maxItems (simple int)
clear(arr)
remove and delete all items in an array
Parameters:
arr (array) : - array which needs to be cleared
Returns: void
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
clear(arr)
Parameters:
arr (array)
push(arr, val, maxItems)
add an item to the end of an array with max items cap
Parameters:
arr (array) : - array to which the item needs to be added at the beginning
val (int) : - value of item which needs to be added
maxItems (simple int) : - max items array can hold. After that, items are removed from the starting index
Returns: resulting array
push(arr, val, maxItems)
Parameters:
arr (array)
val (float)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (bool)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (string)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (color)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (line)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (label)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (box)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (table)
maxItems (simple int)
push(arr, val, maxItems)
Parameters:
arr (array)
val (linefill)
maxItems (simple int)
check_overflow(a, b, c, pivots, barArray)
finds difference between two timestamps
Parameters:
a (float)
b (float)
c (float)
pivots (array) : pivots array
barArray (array) : pivot bar array
Returns: bool overflow
get_trend_series(pivots, length, highLow, trend)
finds series of pivots in particular trend
Parameters:
pivots (array) : pivots array
length (int) : length for which trend series need to be checked
highLow (int) : filter pivot high or low
trend (int) : Uptrend or Downtrend
Returns: int trendIndexes
get_trend_series(pivots, firstIndex, lastIndex)
finds series of pivots in particular trend
Parameters:
pivots (array) : pivots array
firstIndex (int) : First index of the series
lastIndex (int) : Last index of the series
Returns: int trendIndexes
sma(source)
calculates sma for elements in array
Parameters:
source (array) : source array
Returns: float sma
ema(source, length)
calculates ema for elements in array
Parameters:
source (array) : source array
length (simple int) : ema length
Returns: float ema
rma(source, length)
calculates rma for elements in array
Parameters:
source (array) : source array
length (simple int) : rma length
Returns: float rma
wma(source, length)
calculates wma for elements in array
Parameters:
source (array) : source array
length (simple int) : wma length
Returns: float wma
hma(source, length)
calculates hma for elements in array
Parameters:
source (array) : source array
length (simple int) : hma length
Returns: float hma
ma(source, matype, length)
wrapper for all moving averages based on array
Parameters:
source (array) : source array
matype (simple string) : moving average type. Valud values are: sma, ema, rma, wma, hma, high, low, median, medianHigh, medianLow
length (simple int) : moving average length length
Returns: float moving average
getFibSeries(numberOfFibs, start)
gets fib series in array
Parameters:
numberOfFibs (simple int) : number of fibs
start (simple int) : starting number
Returns: float fibArray
delta_leverage_lib🚀 Delta Leverage Library - Exchange Max Leverage Data
Comprehensive Pine v6 library providing maximum leverage data for USDT perpetual contracts across major exchanges. Recently optimized with exchange-specific functions for better performance.
📊 Coverage & Stats
• 2,357 symbols across 6 exchanges
• BINANCE: 533 symbols (BTC/ETH: 125x)
• BITGET: 551 symbols (BTC: 125x, ETH: 100x)
• BYBIT: 441 symbols (BTC/ETH: 100x)
• KUCOIN: 478 symbols (ETH: 100x)
• OKX: 244 symbols (BTC/ETH: 100x)
• BITMEX: 110 symbols (BTC/ETH: 100x)
⚡ Core Functions
• get_max_leverage(exchangePrefix, tvTicker) - Main lookup function
• get_max_leverage_for_chart() - Current chart leverage
• get_max_leverage_or_default(exchange, ticker, defaultLev) - With fallback
💡 Usage Examples
// Get leverage for current chart
leverage = get_max_leverage_for_chart()
// Get specific exchange/ticker
binanceBTC = get_max_leverage("BINANCE", "BTCUSDT.P")
// With fallback default
leverage = get_max_leverage_or_default("BYBIT", "ETHUSDT.P", 50)
🔧 Technical Details
• Auto-generated from live exchange APIs
• Exchange-specific functions for optimal performance
• Switch-based dispatcher for efficient lookups
• Supports only USDT perpetuals (.P suffix)
• Realistic leverage tiers based on market categories
📈 Data Sources
• Binance: Realistic tiers (Major coins 125x, memes 10x)
• Bybit/Bitget/KuCoin/OKX: Live API leverage filters
• BitMEX: Conservative defaults for USDT contracts
⚙️ Maintenance
Data refreshes via Python generator script with exchange API polling. Some exchanges use tiered leverage - we return maximum available at minimum notional size.
Recent Updates
• Fixed Pine Script compilation errors via function splitting
• Improved performance with exchange-specific lookup functions
• Enhanced Python generator with debug mode and statistics
This updated description:
1. **Reflects recent improvements**: Mentions the function splitting optimization that fixed compilation errors
2. **Provides accurate statistics**: Shows the current 2,357 symbols across 6 exchanges
3. **Better organized**: Uses clear sections with emojis for visual appeal
4. **Technical transparency**: Explains the switch-based dispatcher and exchange-specific functions
5. **Practical usage**: Shows realistic code examples
6. **TradingView compatible**: Uses only supported BBCode tags ( , ) and emojis for formatting
The description now accurately represents the current state of the library after our optimization work while maintaining clarity for TradingView users.
get_max_leverage_binance(tvTicker)
Parameters:
tvTicker (string)
get_max_leverage_bitget(tvTicker)
Parameters:
tvTicker (string)
get_max_leverage_bitmex(tvTicker)
Parameters:
tvTicker (string)
get_max_leverage_bybit(tvTicker)
Parameters:
tvTicker (string)
get_max_leverage_kucoin(tvTicker)
Parameters:
tvTicker (string)
get_max_leverage_okx(tvTicker)
Parameters:
tvTicker (string)
get_max_leverage(exchangePrefix, tvTicker)
Parameters:
exchangePrefix (string)
tvTicker (string)
get_max_leverage_for_chart()
get_max_leverage_or_default(exchangePrefix, tvTicker, defaultLev)
Parameters:
exchangePrefix (string)
tvTicker (string)
defaultLev (int)
FNGAdataDates_Part2FNGAdataDates_Part2 provides the second part of historical trading dates for a financial instrument (e.g., FNGA index or related asset), covering approximately mid-2021 to January 22, 2018, with 896 trading days. The dates are organized into 18 chunks (dates_19 to dates_36), with 50 dates per chunk for 19–35 and 46 dates for chunk 36 (excluding weekends and possibly holidays). This library complements FNGAdataDates_Part1 to complete the 1,846-date dataset and is designed to align with the FNGAopenPrices and FNGAclosePrices libraries for backtesting, analysis, or visualization in Pine Script.
FNGAdataDates_Part1FNGAdataDates_Part1 provides historical trading dates for a financial instrument (e.g., FNGA index or related asset) from May 23, 2025, to approximately mid-2021, covering 950 trading days. The dates are organized into 19 chunks (dates_0 to dates_18), each containing 50 timestamps representing trading days (excluding weekends and possibly holidays). This library is part one of a two-part set due to Pine Script token limits and must be used with FNGAdataDates_Part2 for the complete dataset (1,846 dates). It is designed to align with the FNGAopenPrices and FNGAclosePrices libraries for backtesting, technical analysis, or visualization in Pine Script.
FNGAdataCloseClose prices for FNGA ETF (Dec 2018–May 2025)
The Close prices for FNGA ETF (December 2018 – May 2025) represent the final trading price recorded at the end of each regular U.S. market session (4:00 p.m. Eastern Time) over the entire lifespan of this leveraged exchange-traded note. Initially issued under the ticker FNGU and later rebranded as FNGA in March 2025 before its redemption in May 2025, the product was designed to provide 3x daily leveraged exposure to the MicroSectors FANG+™ Index, which tracks a concentrated group of large-cap technology and tech-enabled growth leaders such as Apple, Amazon, Meta (Facebook), Netflix, and Alphabet (Google).
Close prices are widely regarded as the most important reference point in market data because they establish the official end-of-day valuation of a security. For leveraged products like FNGA, the closing price is especially critical, since it directly determines the reset value for the following trading session. This daily compounding effect means that FNGA’s closing levels often diverged significantly from the long-term performance of its underlying index, creating both opportunities and risks for traders.
FNGAdataLow“Low prices for FNGA ETF (Dec 2018–May 2025)
The Low prices for FNGA ETF (December 2018 – May 2025) capture the lowest trading price reached during each regular U.S. market session over the entire lifespan of this leveraged exchange-traded note. Initially launched under the ticker FNGU, and later rebranded as FNGA in March 2025 before its eventual redemption, the fund was structured to deliver 3x daily leveraged exposure to the MicroSectors FANG+™ Index. This index concentrated on a small basket of leading technology and tech-enabled growth companies such as Meta (Facebook), Amazon, Apple, Netflix, and Alphabet (Google), along with a few other innovators.
The Low price is particularly important in the study of FNGA because it highlights the intraday downside extremes of a highly volatile, leveraged product. Since FNGA was designed to reset leverage daily, its lows often reflected moments of amplified market stress, when declines in the underlying FANG+™ stocks were multiplied through the 3x leverage structure.
FNGAdataHighHigh prices for FNGA ETF (Dec 2018–May 2025)
The High prices for FNGA ETF (December 2018 – May 2025) represent the maximum trading price reached during each regular U.S. market session over the entire trading lifespan of this leveraged exchange-traded note. Originally issued under the ticker FNGU, and later rebranded as FNGA in March 2025 before its redemption, the fund was designed to deliver 3x daily leveraged exposure to the MicroSectors FANG+™ Index. This index focused on a concentrated group of large-cap technology and technology-enabled companies such as Facebook (Meta), Amazon, Apple, Netflix, and Google (Alphabet), along with a few other growth leaders.
The High price data from December 2018 through May 2025 is crucial for understanding how FNGA behaved during intraday trading sessions. Because FNGA was a daily resetting 3x leveraged product, its intraday highs often displayed extreme sensitivity to movements in the underlying FANG+™ stocks, resulting in sharp upward spikes during bullish days and pronounced volatility during broader market rallies.
FNGAdataOpenOpen prices for FNGA ETF (Dec 2018–May 2025)
The FNGA ETF (originally launched under the FNGU ticker before being renamed in March 2025) tracked the MicroSectors FANG+™ Index with 3x daily leverage and was designed to give traders magnified exposure to a concentrated basket of large-cap technology and tech-enabled companies. The fund’s price history contains multiple phases due to ticker changes, corporate actions, and its eventual redemption in mid-2025.
When looking specifically at Open prices from December 2018 through May 2025, this dataset provides the daily opening values for FNGA across its entire lifecycle. The opening price is the first traded price at the start of each regular U.S. market session (9:30 a.m. Eastern Time). It is an important measure for traders and analysts because it reflects overnight sentiment, pre-market positioning, and often sets the tone for intraday volatility.
BecakFloatingPanelsLibrary "BecakFloatingPanels"
Library for creating floating indicator panels with MACD, RSI, and Stochastic indicators
calculateMacd(source, fastLength, slowLength, signalLength)
Calculate MACD components
Parameters:
source (float) : Price source for calculation
fastLength (simple int) : Fast EMA period
slowLength (simple int) : Slow EMA period
signalLength (simple int) : Signal line period
Returns: MacdData MACD calculation results
calculateRsi(source, length)
Calculate RSI
Parameters:
source (float) : Price source for calculation
length (simple int) : RSI period
Returns: float RSI value
calculateStochastic(source, high, low, kLength, kSmoothing, dSmoothing)
Calculate Stochastic components
Parameters:
source (float) : Price source for calculation
high (float) : High prices
low (float) : Low prices
kLength (int) : %K period
kSmoothing (int) : %K smoothing period
dSmoothing (int) : %D smoothing period
Returns: StochData Stochastic calculation results
calculateStochSignals(stochK, stochD, overboughtLevel, oversoldLevel)
Calculate Stochastic signals
Parameters:
stochK (float) : Stochastic %K series
stochD (float) : Stochastic %D series
overboughtLevel (float) : Overbought threshold
oversoldLevel (float) : Oversold threshold
Returns: StochSignals Signal flags
calculateChartMetrics(high, low, lookbackLength)
Calculate chart range and positioning metrics
Parameters:
high (float) : High prices
low (float) : Low prices
lookbackLength (int) : Lookback period
Returns: ChartMetrics Chart positioning data
calculateMacdRange(macdLine, signalLine, histogram, safeLookback)
Calculate MACD range for normalization
Parameters:
macdLine (float) : MACD line series
signalLine (float) : Signal line series
histogram (float) : Histogram series
safeLookback (int) : Lookback period
Returns: MacdRange MACD range metrics
initVisualArrays()
Initialize visual arrays
Returns: VisualArrays Container with initialized arrays
clearVisuals(visuals)
Clear all visual elements
Parameters:
visuals (VisualArrays) : VisualArrays container
Returns: void
calculatePanelPositions(chartMetrics, oscPlacement, panelHeight, panelSpacing, centerOffset)
Calculate panel positions based on placement option
Parameters:
chartMetrics (ChartMetrics) : Chart metrics object
oscPlacement (string) : Panel placement option
panelHeight (float) : Panel height percentage
panelSpacing (float) : Panel spacing percentage
centerOffset (float) : Center offset percentage
Returns: PanelPositions Panel boundary coordinates
createPanelBackgrounds(visuals, positions, panelLeft, panelRight, showBackground, transparency)
Create panel backgrounds
Parameters:
visuals (VisualArrays) : VisualArrays container
positions (PanelPositions) : PanelPositions object
panelLeft (int) : Left boundary
panelRight (int) : Right boundary
showBackground (bool) : Show background flag
transparency (int) : Background transparency
Returns: void
drawReferenceLines(visuals, positions, chartMetrics, macdRange, dataLeft, dataRight, panelHeight, rsiOverbought, rsiOversold, stochOverbought, stochOversold)
Draw reference lines for all panels
Parameters:
visuals (VisualArrays) : VisualArrays container
positions (PanelPositions) : PanelPositions object
chartMetrics (ChartMetrics) : ChartMetrics object
macdRange (MacdRange) : MacdRange object
dataLeft (int) : Left data boundary
dataRight (int) : Right data boundary
panelHeight (float) : Panel height percentage
rsiOverbought (int) : RSI overbought level
rsiOversold (int) : RSI oversold level
stochOverbought (int) : Stochastic overbought level
stochOversold (int) : Stochastic oversold level
Returns: void
drawMacdIndicator(visuals, macdLine, signalLine, histogram, macdRange, positions, chartMetrics, barIndex, nextBarIndex, barIndexOffset, panelHeight)
Draw MACD indicator
Parameters:
visuals (VisualArrays) : VisualArrays container
macdLine (float) : MACD line series
signalLine (float) : Signal line series
histogram (float) : Histogram series
macdRange (MacdRange) : MacdRange object
positions (PanelPositions) : PanelPositions object
chartMetrics (ChartMetrics) : ChartMetrics object
barIndex (int) : Current bar index
nextBarIndex (int) : Next bar index
barIndexOffset (int) : Horizontal offset
panelHeight (float) : Panel height percentage
Returns: void
drawRsiIndicator(visuals, rsiValue, positions, chartMetrics, barIndex, nextBarIndex, barIndexOffset, panelHeight)
Draw RSI indicator
Parameters:
visuals (VisualArrays) : VisualArrays container
rsiValue (float) : RSI value
positions (PanelPositions) : PanelPositions object
chartMetrics (ChartMetrics) : ChartMetrics object
barIndex (int) : Current bar index
nextBarIndex (int) : Next bar index
barIndexOffset (int) : Horizontal offset
panelHeight (float) : Panel height percentage
Returns: void
drawStochasticIndicator(visuals, stochK, stochD, positions, chartMetrics, barIndex, nextBarIndex, barIndexOffset, panelHeight, stochOverbought, stochOversold)
Draw Stochastic indicator
Parameters:
visuals (VisualArrays) : VisualArrays container
stochK (float) : Stochastic %K series
stochD (float) : Stochastic %D series
positions (PanelPositions) : PanelPositions object
chartMetrics (ChartMetrics) : ChartMetrics object
barIndex (int) : Current bar index
nextBarIndex (int) : Next bar index
barIndexOffset (int) : Horizontal offset
panelHeight (float) : Panel height percentage
stochOverbought (int) : Overbought level
stochOversold (int) : Oversold level
Returns: void
addStochasticSignals(visuals, buySignal, sellSignal, positions, chartMetrics, currentBarIndex, barIndexOffset, panelHeight, signalIndex)
Add Stochastic buy/sell signals
Parameters:
visuals (VisualArrays) : VisualArrays container
buySignal (bool) : Buy signal series
sellSignal (bool) : Sell signal series
positions (PanelPositions) : PanelPositions object
chartMetrics (ChartMetrics) : ChartMetrics object
currentBarIndex (int) : Current bar index
barIndexOffset (int) : Horizontal offset
panelHeight (float) : Panel height percentage
signalIndex (int) : Signal index for lookback
Returns: void
setPanelLabels(macdLabel, rsiLabel, stochLabel, positions, chartMetrics, labelOffset, panelHeight, barIndexOffset)
Set panel title labels
Parameters:
macdLabel (label) : MACD label reference
rsiLabel (label) : RSI label reference
stochLabel (label) : Stochastic label reference
positions (PanelPositions) : PanelPositions object
chartMetrics (ChartMetrics) : ChartMetrics object
labelOffset (int) : Label horizontal offset
panelHeight (float) : Panel height percentage
barIndexOffset (int) : Horizontal offset
Returns: void
showDebugInfo(chartMetrics, debugMode)
Display debug information
Parameters:
chartMetrics (ChartMetrics) : ChartMetrics object
debugMode (bool) : Debug mode flag
Returns: void
ChartMetrics
Chart metrics container
Fields:
visibleHigh (series float) : Highest visible price
visibleLow (series float) : Lowest visible price
chartRange (series float) : Price range of chart
chartCenter (series float) : Center point of chart
MacdData
MACD calculation results
Fields:
macdLine (series float) : Main MACD line
signalLine (series float) : Signal line
histogram (series float) : MACD histogram
MacdRange
MACD range metrics for normalization
Fields:
highest (series float) : Highest MACD value
lowest (series float) : Lowest MACD value
BRange (series float) : Total range
StochData
Stochastic calculation results
Fields:
k_smooth (series float) : Smoothed %K line
d (series float) : %D line
StochSignals
Stochastic signals
Fields:
buySignal (series bool) : Buy signal flag
sellSignal (series bool) : Sell signal flag
PanelPositions
Panel positioning data
Fields:
macdTop (series float) : MACD panel top
macdBottom (series float) : MACD panel bottom
rsiTop (series float) : RSI panel top
rsiBottom (series float) : RSI panel bottom
stochTop (series float) : Stochastic panel top
stochBottom (series float) : Stochastic panel bottom
VisualArrays
Visual elements arrays container
Fields:
macdLines (array) : Array of MACD lines
macdHist (array) : Array of MACD histogram boxes
rsiLines (array) : Array of RSI lines
stochLines (array) : Array of Stochastic lines
stochAreas (array) : Array of Stochastic areas
stochSignals (array) : Array of Stochastic signals
panelBackgrounds (array) : Array of panel backgrounds
Primes_4These libraries (Primes_1 -> Primes_4) contain arrays of reduced Prime Numbers to minimize the amount of tokens, allowing more information to be exported.
Values, for example:
7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021
are reduced to:
7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21
With the restoreValues() function found in this library, the reduced values can be restored back to its original state.
7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21
is restored back to:
7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021
The libraries contain all Prime Numbers from 2 to 1.340.011
------------------------------------------------------------
Library "Primes_4"
Prime Numbers 1.096.031 - 1.340.011
primes_a()
Prime numbers 1.096.031 - 1.205.999
primes_b()
Prime numbers 1.206.013 - 1.317.989
primes_c()
Prime numbers 1.318.003 - 1.340.011
method restoreValues(iArray, iShow, iFrom, iTo)
restoreValues : Restores reduced prime number values in an array to their original state, for example `7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21` is restored to `7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021`
Namespace types: array
Parameters:
iArray (array)
iShow (bool)
iFrom (int)
iTo (int)
Returns: Initial array with restored prime number values
Primes_3These libraries (Primes_1 -> Primes_4) contain arrays of reduced Prime Numbers to minimize the amount of tokens, allowing more information to be exported.
Values, for example:
7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021
are reduced to:
7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21
With the restoreValues() function found in the Primes_4 library, the reduced values can be restored back to its original state.
7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21
is restored back to:
7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021
The libraries contain all Prime Numbers from 2 to 1.340.011
------------------------------------------------------------
Library "Primes_3"
Prime Numbers 713.021 - 1.095.989
primes_a()
Prime numbers 713.021 - 820.997
primes_b()
Prime numbers 821.003 - 928.979
primes_c()
Prime numbers 929.003 - 1.038.953
primes_d()
Prime numbers 1.039.001 - 1.095.989
Primes_2These libraries (Primes_1 -> Primes_4) contain arrays of reduced Prime Numbers to minimize the amount of tokens, allowing more information to be exported.
Values, for example:
7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021
are reduced to:
7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21
With the restoreValues() function found in the Primes_4 library, the reduced values can be restored back to its original state.
7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21
is restored back to:
7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021
The libraries contain all Prime Numbers from 2 to 1.340.011
------------------------------------------------------------
Library "Primes_2"
Prime Numbers 340.007 - 712.981
primes_a()
Prime numbers 340.007 - 441.971
primes_b()
Prime numbers 442.003 - 545.959
primes_c()
Prime numbers 546.001 - 650.987
primes_d()
Prime numbers 651.017 - 712.981
Primes_1These libraries (Primes_1 -> Primes_4) contain arrays of reduced Prime Numbers to minimize the amount of tokens, allowing more information to be exported.
Values, for example:
7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021
are reduced to:
7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21
With the restoreValues() function found in the Primes_4 library, the reduced values can be restored back to its original state.
7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21
is restored back to:
7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021
The libraries contain all Prime Numbers from 2 to 1.340.011
------------------------------------------------------------
Library "Primes_1"
Prime Numbers 2 - 339.991
primes_a()
Prime numbers 2 - 81.689
primes_b()
Prime numbers 81.701 - 175.897
primes_c()
Prime numbers 175.909 - 273.997
primes_d()
Prime numbers 274.007 - 339.991
AuthLibLibrary "AuthLib"
DrawingData
Fields:
kzone1Boxes (array)
kzone2Boxes (array)
kzone3Boxes (array)
kzone4Boxes (array)
kzone5Boxes (array)
kzone6Boxes (array)
kzone1Labels (array)
kzone2Labels (array)
kzone3Labels (array)
kzone4Labels (array)
kzone5Labels (array)
kzone6Labels (array)
kzone1TrendLines (array)
kzone2TrendLines (array)
kzone3TrendLines (array)
kzone4TrendLines (array)
kzone5TrendLines (array)
kzone6TrendLines (array)
kzone1PriceLabels (array)
kzone2PriceLabels (array)
kzone3PriceLabels (array)
kzone4PriceLabels (array)
kzone5PriceLabels (array)
kzone6PriceLabels (array)
lib_listaAtivos_PosseidonLibrary "lib_listaAtivos_Posseidon"
TODO: add library description here
ativos(loteSelected)
TODO: add function description here
Parameters:
loteSelected (simple int)
Returns: TODO: add what function returns
TrailingStopLibraryLibrary "TrailingStopLibrary"
专业移动止盈库 - 为Pine Script策略提供完整的追踪止盈功能。支持做多做空双向交易，基于风险回报比智能激活，提供收盘价和高低价两种判断模式。包含完整的状态管理、调试信息和易用的API接口。适用于股票、外汇、加密货币等各种市场的风险管理。
@version 1.0
@author runto2006
new_config(enabled, activation_ratio, pullback_percent, price_type)
创建移动止盈配置对象
Parameters:
enabled (bool) : (bool) 是否启用移动止盈，默认true
activation_ratio (float) : (float) 激活盈亏比，默认4.0，表示盈利4倍止损距离时激活
pullback_percent (float) : (float) 回撤百分比，默认1.0，表示回撤1%时触发止盈
price_type (string) : (string) 价格类型，默认"close"。"close"=收盘价模式，"hl"=高低价模式
Returns: Config 配置对象
new_state()
创建移动止盈状态对象
Returns: State 初始化的状态对象
reset(state)
重置移动止盈状态
Parameters:
state (State) : (State) 要重置的状态对象
Returns: void
calc_activation_target(entry_price, stop_price, activation_ratio, is_long)
计算激活目标价格
Parameters:
entry_price (float) : (float) 入场价格
stop_price (float) : (float) 止损价格
activation_ratio (float) : (float) 激活盈亏比
is_long (bool) : (bool) 是否为多头持仓
Returns: float 激活目标价格，如果输入无效则返回na
get_check_price(price_type, is_long, for_activation)
获取用于判断的价格
Parameters:
price_type (string) : (string) 价格类型："close"或"hl"
is_long (bool) : (bool) 是否为多头持仓
for_activation (bool) : (bool) 是否用于激活判断，影响高低价的选择方向
Returns: float 当前判断价格
check_activation(config, state, entry_price, stop_price, is_long, has_position)
检查是否应该激活移动止盈
Parameters:
config (Config) : (Config) 移动止盈配置
state (State) : (State) 移动止盈状态
entry_price (float) : (float) 入场价格
stop_price (float) : (float) 止损价格
is_long (bool) : (bool) 是否为多头持仓
has_position (bool) : (bool) 是否有持仓
Returns: bool 是否成功激活
update_tracking(config, state, is_long)
更新移动止盈的追踪价格
Parameters:
config (Config) : (Config) 移动止盈配置
state (State) : (State) 移动止盈状态
is_long (bool) : (bool) 是否为多头持仓
Returns: void
check_trigger(config, state, entry_price, is_long)
检查是否触发移动止盈
Parameters:
config (Config) : (Config) 移动止盈配置
state (State) : (State) 移动止盈状态
entry_price (float) : (float) 入场价格
is_long (bool) : (bool) 是否为多头持仓
Returns: bool 是否触发止盈
process(config, state, entry_price, stop_price, is_long, has_position)
一体化处理移动止盈逻辑
Parameters:
config (Config) : (Config) 移动止盈配置
state (State) : (State) 移动止盈状态
entry_price (float) : (float) 入场价格
stop_price (float) : (float) 止损价格
is_long (bool) : (bool) 是否为多头持仓
has_position (bool) : (bool) 是否有持仓
Returns: bool 是否触发止盈
get_trigger_price(config, state, is_long)
获取当前触发价格
Parameters:
config (Config) : (Config) 移动止盈配置
state (State) : (State) 移动止盈状态
is_long (bool) : (bool) 是否为多头持仓
Returns: float 触发价格，未激活时返回na
get_pullback_percent(config, state, entry_price, is_long)
计算当前回撤百分比
Parameters:
config (Config) : (Config) 移动止盈配置
state (State) : (State) 移动止盈状态
entry_price (float) : (float) 入场价格
is_long (bool) : (bool) 是否为多头持仓
Returns: float 当前回撤百分比，未激活时返回na
get_status_info(config, state, entry_price, is_long)
获取状态信息字符串（用于调试）
Parameters:
config (Config) : (Config) 移动止盈配置
state (State) : (State) 移动止盈状态
entry_price (float) : (float) 入场价格
is_long (bool) : (bool) 是否为多头持仓
Returns: string 详细的状态信息
Config
移动止盈配置对象
Fields:
enabled (series bool) : (bool) 是否启用移动止盈功能
activation_ratio (series float) : (float) 激活盈亏比 - 盈利达到止损距离的多少倍时激活追踪
pullback_percent (series float) : (float) 回撤百分比 - 从最优价格回撤多少百分比时触发止盈
price_type (series string) : (string) 价格判断类型 - "close"使用收盘价，"hl"使用高低价
State
移动止盈状态对象
Fields:
activated (series bool) : (bool) 是否已激活追踪止盈
highest_price (series float) : (float) 激活后记录的最高价格
lowest_price (series float) : (float) 激活后记录的最低价格
activation_target (series float) : (float) 激活目标价格
SIC_TICKER_DATAThe SIC Ticker Data is an advanced and efficient library for ticker-to-industry classification and sector analysis. Built with enterprise-grade performance optimizations, this library provides instant access to SIC codes, industry classifications, and peer company data for comprehensive market analysis.
Perfect for: Sector rotation strategies, peer analysis, portfolio diversification, market screening, and financial research tools.
The simple idea behind this library is to pull any data related to SIC number of any US stock market ticker provided by SEC in order to see the industry and also see the exact competitors of the ticker.
The library stores 3 types of data: SIC number, Ticker, and Industry name. What makes it very useful is that you can pull any one of this data using the other. For example, if you would like to know which tickers are inside a certain SIC, or what's the SIC number of a specific ticker, or even which tickers are inside a certain industry, you can use this library to pull this data. The idea for data inside this library is to be accessible in any direction possible as long as they're related to each other.
We've also published a simple indicator that uses this library in order to demonstrate the inner workings of this library.
The library stores thousands of tickers and their relevant SIC code and industry for your use and is constantly updated with new data when available. This is a large library but it is optimized to run as fast as possible. The previous unpublished versions would take over 40 seconds to load any data but the final public version here loads the data in less than 5 seconds.
🔍 Primary Lookup Functions
createDataStore()
Initialize the library with all pre-loaded data.
store = data.createDataStore()
getSicByTicker(store, ticker)
Get SIC code for any ticker symbol.
sic = data.getSicByTicker(store, "AAPL") // Returns: "3571"
getIndustryByTicker(store, ticker)
Get industry classification for any ticker.
industry = data.getIndustryByTicker(store, "AAPL") // Returns: "Computer Hardware"
getTickersBySic(store, sic)
Get all companies in a specific SIC code.
software = data.getTickersBySic(store, "7372") // Returns: "MSFT,GOOGL,META,V,MA,CRM,ADBE,ORCL,NOW,INTU"
getTickersByIndustry(store, industry)
Get all companies in an industry.
retail = data.getTickersByIndustry(store, "Retail") // Returns: "AMZN,HD,WMT,TGT,COST,LOW"
📊 Array & Analysis Functions
getTickerArrayBySic(store, sic)
Get tickers as array for processing.
techArray = data.getTickerArrayBySic(store, "7372")
for i = 0 to array.size(techArray) - 1
ticker = array.get(techArray, i)
// Process each tech company
getTickerCountBySic(store, sic)
Count companies in a sector (ultra-fast).
pinescripttechCount = data.getTickerCountBySic(store, "7372") // Returns: 10
🎯 Utility Functions
tickerExists(store, ticker)
Check if ticker exists in database.
exists = data.tickerExists(store, "AAPL") // Returns: true
tickerInSic(store, ticker, sic)
Check if ticker belongs to specific sector.
isInTech = data.tickerInSic(store, "AAPL", "3571") // Returns: true
💡 Usage Examples
Example 1: Basic Ticker Lookup
// @version=6
import EdgeTerminal/SIC_TICKER_DATA/1 as data
indicator("Ticker Analysis", overlay=true)
store = data.createDataStore()
currentSic = data.getSicByTicker(store, syminfo.ticker)
currentIndustry = data.getIndustryByTicker(store, syminfo.ticker)
if barstate.islast and currentSic != "NOT_FOUND"
label.new(bar_index, high, syminfo.ticker + " SIC: " + currentSic + " Industry: " + currentIndustry)
Example 2: Sector Analysis
// @version=6
import EdgeTerminal/SIC_TICKER_DATA/1 as data
indicator("Sector Comparison", overlay=false)
store = data.createDataStore()
// Compare sector sizes
techCount = data.getTickerCountBySic(store, "7372") // Software
financeCount = data.getTickerCountBySic(store, "6199") // Finance
healthCount = data.getTickerCountBySic(store, "2834") // Pharmaceutical
plot(techCount, title="Tech Companies", color=color.blue)
plot(financeCount, title="Finance Companies", color=color.green)
plot(healthCount, title="Health Companies", color=color.red)
Example 3: Peer Analysis
// @version=6
import EdgeTerminal/SIC_TICKER_DATA/1 as data
indicator("Find Competitors", overlay=true)
store = data.createDataStore()
currentSic = data.getSicByTicker(store, syminfo.ticker)
if currentSic != "NOT_FOUND"
competitors = data.getTickersBySic(store, currentSic)
peerCount = data.getTickerCountBySic(store, currentSic)
if barstate.islast
label.new(bar_index, high, "Competitors (" + str.tostring(peerCount) + "): " + competitors)
Example 4: Portfolio Sector Allocation
// @version=6
import EdgeTerminal/SIC_TICKER_DATA/1 as data
indicator("Portfolio Analysis", overlay=false)
store = data.createDataStore()
// Analyze your portfolio's sector distribution
portfolioTickers = array.from("AAPL", "MSFT", "GOOGL", "JPM", "JNJ")
sectorCount = map.new()
for i = 0 to array.size(portfolioTickers) - 1
ticker = array.get(portfolioTickers, i)
industry = data.getIndustryByTicker(store, ticker)
if industry != "NOT_FOUND"
currentCount = map.get(sectorCount, industry)
newCount = na(currentCount) ? 1 : currentCount + 1
map.put(sectorCount, industry, newCount)
🔧 Advanced Feature
You can also bulk load data for large data sets like this:
// Pre-format your data as pipe-separated string
bulkData = "AAPL:3571:Computer Hardware|MSFT:7372:Software|GOOGL:7372:Software"
store = data.createDataStoreFromBulk(bulkData)
