WaddahAttarExplosionLibrary "WaddahAttarExplosion"
wae(sensitivity, macdFastEMALength, macdSlowEMALength, bbChannelLength, bbStdevMultiplier, refHigh, refLow, refClose) Returns the Waddah Attar Uptrend, Downtrend, Explosion Line and Dead zone
Parameters:
sensitivity : simple float multiplicator for trend line calculation from macd
macdFastEMALength : simple int length for macd fast line
macdSlowEMALength : simple int length for macd slow line
bbChannelLength : simple int length for calculating the bb channel (for std deviation)
bbStdevMultiplier : simple float multiplier to increace bb std deviation
refHigh : series float optional if you want to use another timeframe or symbol, pass it's 'high' series here
refLow : series float optional if you want to use another timeframe or symbol, pass it's 'low' series here
refClose : series float optional if you want to use another timeframe or symbol, pass it's 'close' series here
Returns:
Techindicator
ATRStopLossFinderLibrary "ATRStopLossFinder"
Average True Range Stop Loss Finder
credits to www.tradingview.com for the initial version
stopLossFinder(length, smoothing, multiplier, refHigh, refLow, refClose) Returns the stop losses for an entry on this candle, depending on the ATR
Parameters:
length : simple int optional to select the lookback amount of candles
smoothing : string optional to select the averaging method, options=
multiplier : simple float optional if you want to tweak the speed the trend changes.
refHigh : series float optional if you want to use another timeframe or symbol, pass it's 'high' series here
refLow : series float optional if you want to use another timeframe or symbol, pass it's 'low' series here
refClose : series float optional if you want to use another timeframe or symbol, pass it's 'close' series here
Returns: series float stopLossLong, series float stopLossShort, series float atr
AbdulLibraryLibrary "AbdulLibrary"
The library consists of three sections:
Technical Analysis Functions - A collection of tools commonly used by day traders
Trading Setup Filters Functions - A number of filters that help day traders to screen trading signals
Candlestick Pattern Detection Functions - To detect different candlestick patterns that are used in day trading setups
Note that this would have been possible without the help of @ZenAndTheArtOfTrading as I build-up this library after completing his pine script mastery course so big thanks to him
The content of the library are:-
fibLevels(preDayClose, preDayHigh, preDayLow) Calculates Daily Pivot Point and Fibonacci Key Levels
Parameters:
preDayClose : The previous day candle close
preDayHigh : The previous day candle high
preDayLow : The previous day candle low
Returns: Returns Daily Pivot Point and Fibonacci Key Levels as a tuple
bullishFib(canHigh, canLow, fibLevel) Calculates Fibonacci Levels in Bullish move
Parameters:
canHigh : The high of the move
canLow : The low of the move
fibLevel : The Fib level as % you want to calculate
Returns: Returns The Fib level for the Bullish move
bearishFib(canHigh, canLow, fibLevel) Calculates Fibonacci Levels in Bearish move
Parameters:
canHigh : The high of the move
canLow : The low of the move
fibLevel : The Fib level as % you want to calculate
Returns: Returns The Fib level for the Bearish move
getCandleSize() Calculates the size of candle (high - low) in points
Returns: Returns candle size in points
getCandleBodySize() Calculates the size of candle (close - open) in points
Returns: Returns candle body size in points
getHighWickSize() Calculates the high wick size of candle in points
Returns: Returns The high wick size of candle in points
getLowWickSize() Calculates the low wick size of candle in points
Returns: Returns The low wick size of candle in points
getBodyPercentage() Calculates the candle body size as % of overall candle size
Returns: Returns The candle body size as % of overall candle size
isSwingHigh(period) Checks if the price has created new swing high over a period of time
Parameters:
period : The lookback time we want to check for swing high
Returns: Returns True if the current candle or the previous candle is a swing high
isSwingLow(period) Checks if the price has created new swing low over a period of time
Parameters:
period : The lookback time we want to check for swing low
Returns: Returns True if the current candle or the previous candle is a swing low
isDojiSwingHigh(period) Checks if a doji is a swing high over a period of time
Parameters:
period : The lookback time we want to check for swing high
Returns: Returns True if the doji is a swing high
isDojiSwingLow(period) Checks if a doji is a swing low over a period of time
Parameters:
period : The lookback time we want to check for swing low
Returns: Returns True if the doji is a swing low
isBigBody(atrFilter, atr, candleBodySize, multiplier) Checks if a candle has big body compared to ATR
Parameters:
atrFilter : Check if user wants to use ATR to filter candle-setup signals
atr : The ATR value to be used to compare candle body size
candleBodySize : The candle body size
multiplier : The multiplier to be used to compare candle body size
Returns: Returns Boolean true if the candle setup is big
isSmallBody(atrFilter, atr, candleBodySize, multiplier) Checks if a candle has small body compared to ATR
Parameters:
atrFilter : Check if user wants to use ATR to filter candle-setup signals
atr : The ATR value to be used to compare candle body size
candleBodySize : The candle body size
multiplier : The multiplier to be used to compare candle body size
Returns: Returns Boolean true if the candle setup is small
isHammer(fibLevel, colorMatch) Checks if a candle is a hammer based on user input parameters and candle conditions
Parameters:
fibLevel : Fib level to base candle body on
colorMatch : Checks if user needs for the candel to be green
Returns: Returns Boolean - True if the candle setup is hammer
isShootingStar(fibLevel, colorMatch) Checks if a candle is a shooting star based on user input parameters and candle conditions
Parameters:
fibLevel : Fib level to base candle body on
colorMatch : Checks if user needs for the candel to be red
Returns: Returns Boolean - True if the candle setup is star
isBullEngCan(allowance, period) Check if a candle is a bullish engulfing candle
Parameters:
allowance : How many points the candle open is allowed to be off (To allow for gaps)
period : The lookback period for swing low check
Returns: Boolean - True only if the candle is a bullish engulfing candle
isBearEngCan(allowance, period) Check if a candle is a bearish engulfing candle
Parameters:
allowance : How many points the candle open is allowed to be off (To allow for gaps)
period : The lookback period for swing high check
Returns: Boolean - True only if the candle is a bearish engulfing candle
isBullDoji(maxSize, wickLimit, colorFilter) Check if a candle is a bullish doji candle
Parameters:
maxSize : Maximum candle body size as % of total candle size to be considered as doji
wickLimit : Maximum wick size of one wick compared to the other wick
colorFilter : Checks if the doji is green
Returns: Boolean - True if the candle is a bullish doji
isBearDoji(maxSize, wickLimit, colorFilter) Check if a candle is a bearish doji candle
Parameters:
maxSize : Maximum candle body size as % of total candle size to be considered as doji
wickLimit : Maximum wick size of one wick compared to the other wick
colorFilter : Checks if the doji is red
Returns: Boolean - True if the candle is a bearish doji
isBullOutBar() Check if a candle is a bullish outside bar
Returns: Boolean - True if the candle is a bullish outside bar
isInsideBar() Check if a candle is an inside bar
Returns: Returns Boolean - True if a candle is an inside bar
PivotsLibrary "Pivots"
This Library focuses in functions related to pivot highs and lows and some of their applications (i.e. divergences, zigzag, harmonics, support and resistance...)
pivots(srcH, srcL, length) Delivers series of pivot highs, lows and zigzag.
Parameters:
srcH : Source series to look for pivot highs. Stricter applications might source from 'close' prices. Oscillators are also another possible source to look for pivot highs and lows. By default 'high'
srcL : Source series to look for pivot lows. By default 'low'
length : This value represents the minimum number of candles between pivots. The lower the number, the more detailed the pivot profile. The higher the number, the more relevant the pivots. By default 10
Returns:
zigzagArray(pivotHigh, pivotLow) Delivers a Zigzag series based on alternating pivots. Ocasionally this line could paint a few consecutive lows or highs without alternating. That happens because it's finding a few consecutive Higher Highs or Lower Lows. If to use lines entities instead of series, that could be easily avoided. But in this one, I'm more interested outputting series rather than painting/deleting line entities.
Parameters:
pivotHigh : Pivot high series
pivotLow : Pivot low series
Returns:
zigzagLine(srcH, srcL, colorLine, widthLine) Delivers a Zigzag based on line entities.
Parameters:
srcH : Source series to look for pivot highs. Stricter applications might source from 'close' prices. Oscillators are also another possible source to look for pivot highs and lows. By default 'high'
srcL : Source series to look for pivot lows. By default 'low'
colorLine : Color of the Zigzag Line. By default Fuchsia
widthLine : Width of the Zigzag Line. By default 4
Returns: Zigzag printed on screen
divergence(h2, l2, h1, l1, length) Calculates divergences between 2 series
Parameters:
h2 : Series in which to locate divs: Highs
l2 : Series in which to locate divs: Lows
h1 : Series in which to locate pivots: Highs. By default high
l1 : Series in which to locate pivots: Lows. By default low
length : Length used to calculate Pivots: By default 10
Returns:
Common FunctionsLibrary "CommonFunctions"
This Library provides some handy functions commonly used in Pine Script.
crosses(source1, offset1, source2, offset2) Checks the existance of crosses between the series
Parameters:
source1 : First series
offset1 : (Optional) Offset of First series. By default 0
source2 : (Optional) Second series. By default 'close' price
offset2 : (Optional) Offset of Second series. By default 0
Returns:
marketState(source1, offset1, source2, offset2) Determines Bullish/Bearish state according to the relative position between the series.
Parameters:
source1 : Active series used to determine bullish/bearish states.
offset1 : (Optional) Offset of First series. By default 0.
source2 : (Optional) Second series. By default 'close' price.
offset2 : (Optional) Offset of Second series. By default 0.
Returns:
histProfile(source) Histogram profiling
Parameters:
source : Histogram series
Returns:
srcSelect(showSrc1, src1, showSrc2, src2) Selects the appropiate source. If multiple sources are activated simultaneously, the order within the switch clause prevails. The first one activated is the one being output.
Parameters:
showSrc1 : Boolean controlling the activation of Source #1.
src1 : Source #1.
showSrc2 : Boolean controlling the activation of Sources #2-10. By default 'false'.
src2 : Sources #2-10. By default 'number'.
Returns: Selected source.
MovingAveragesLibraryLibrary "MovingAveragesLibrary"
This is a library allowing one to select between many different Moving Average formulas to smooth out any float variable.
You can use this library to apply a Moving Average function to any series of data as long as your source is a float.
The default application would be for applying Moving Averages onto your chart. However, the scope of this library is beyond that. Any indicator or strategy you are building can benefit from this library.
You can apply different types of smoothing and moving average functions to your indicators, momentum oscillators, average true range calculations, support and resistance zones, envelope bands, channels, and anything you can think of to attempt to smooth out noise while finding a delicate balance against lag.
If you are developing an indicator, you can use the 'ave_func' to allow your users to select any Moving Average for any function or variable by creating an input string with the following structure:
var_name = input.string(, , )
Where the types of Moving Average you would like to be provided would be included in options.
Example:
i_ma_type = input.string(title = "Moving Average Type", defval = "Hull Moving Average", options = )
Where you would add after options the strings I have included for you at the top of the PineScript for your convenience.
Then for the output you desire, simply call 'ave_func' like so:
ma = ave_func(source, length, i_ma_type)
Now the plotted Moving Average will be the same as what you or your users select from the Input.
ema(src, len) Exponential Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: Float value.
sma(src, len) Simple Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: Float value.
rma(src, len) Relative Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: Float value.
wma(src, len) Weighted Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: Float value.
dv2(len) Donchian V2 function.
Parameters:
len : Lookback length to use.
Returns: Open + Close / 2 for the selected length.
ModFilt(src, len) Modular Filter smoothing function.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: Float value.
EDSMA(src, len) Ehlers Dynamic Smoothed Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: EDSMA smoothing.
dema(x, t) Double Exponential Moving Average.
Parameters:
x : Series to use ('close' is used if no argument is supplied).
t : Lookback length to use.
Returns: DEMA smoothing.
tema(src, len) Triple Exponential Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: TEMA smoothing.
smma(x, t) Smoothed Moving Average.
Parameters:
x : Series to use ('close' is used if no argument is supplied).
t : Lookback length to use.
Returns: SMMA smoothing.
vwma(x, t) Volume Weighted Moving Average.
Parameters:
x : Series to use ('close' is used if no argument is supplied).
t : Lookback length to use.
Returns: VWMA smoothing.
hullma(x, t) Hull Moving Average.
Parameters:
x : Series to use ('close' is used if no argument is supplied).
t : Lookback length to use.
Returns: Hull smoothing.
covwma(x, t) Coefficient of Variation Weighted Moving Average.
Parameters:
x : Series to use ('close' is used if no argument is supplied).
t : Lookback length to use.
Returns: COVWMA smoothing.
frama(x, t) Fractal Reactive Moving Average.
Parameters:
x : Series to use ('close' is used if no argument is supplied).
t : Lookback length to use.
Returns: FRAMA smoothing.
kama(x, t) Kaufman's Adaptive Moving Average.
Parameters:
x : Series to use ('close' is used if no argument is supplied).
t : Lookback length to use.
Returns: KAMA smoothing.
donchian(len) Donchian Calculation.
Parameters:
len : Lookback length to use.
Returns: Average of the highest price and the lowest price for the specified look-back period.
tma(src, len) Triangular Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: TMA smoothing.
VAMA(src, len) Volatility Adjusted Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: VAMA smoothing.
Jurik(src, len) Jurik Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: JMA smoothing.
MCG(src, len) McGinley smoothing.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: McGinley smoothing.
zlema(series, length) Zero Lag Exponential Moving Average.
Parameters:
series : Series to use ('close' is used if no argument is supplied).
length : Lookback length to use.
Returns: ZLEMA smoothing.
xema(src, len) Optimized Exponential Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: XEMA smoothing.
EhlersSuperSmoother(src, lower) Ehlers Super Smoother.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
lower : Smoothing value to use.
Returns: Ehlers Super smoothing.
EhlersEmaSmoother(sig, smoothK, smoothP) Ehlers EMA Smoother.
Parameters:
sig : Series to use ('close' is used if no argument is supplied).
smoothK : Lookback length to use.
smoothP : Smothing value to use.
Returns: Ehlers EMA smoothing.
ave_func(in_src, in_len, in_type) Returns the source after running it through a Moving Average function.
Parameters:
in_src : Series to use ('close' is used if no argument is supplied).
in_len : Lookback period to be used for the Moving Average function.
in_type : Type of Moving Average function to use. Must have a string input to select the options from that MUST match the type-casing in the function below.
Returns: The source as a float after running it through the Moving Average function.
adx: Configurable ADX (library) Library "adx"
Calculate ADX (and its constituent parts +DI, -DI, ATR),
using different moving averages and periods.
adx(atrMA, diMA, adxMA, atrLen, diLen, adxLen, h, l, c)
Parameters:
atrMA : Moving Average used for calculating the Average True Range.
Traditionally RMA, but using SMA here and in adxMA gives good results too.
diMA : Moving Average used for calculating the Directional Index.
Traditionally, RMA.
adxMA : Moving Average used for calculating the Average Directional
Index. Traditionally RMA, but using SMA here and in atrMA gives good results
too.
atrLen : Length of the Average True Range.
diLen : Length of the Directional Index.
adxLen : Length (smoothing) of the Average Directional Index.
h : Candle's high.
l : Candle's low.
c : Candle's close.
Returns:
eHarmonicpatternsExtendedLibrary "eHarmonicpatternsExtended"
Library provides an alternative method to scan harmonic patterns. This is helpful in reducing iterations. Republishing as new library instead of existing eHarmonicpatterns because I need that copy for existing scripts.
scan_xab(bcdRatio, err_min, err_max, patternArray) Checks if bcd ratio is in range of any harmonic pattern
Parameters:
bcdRatio : AB/XA ratio
err_min : minimum error threshold
err_max : maximum error threshold
patternArray : Array containing pattern check flags. Checks are made only if flags are true. Upon check flgs are overwritten.
scan_abc_axc(abcRatio, axcRatio, err_min, err_max, patternArray) Checks if abc or axc ratio is in range of any harmonic pattern
Parameters:
abcRatio : BC/AB ratio
axcRatio : XC/AX ratio
err_min : minimum error threshold
err_max : maximum error threshold
patternArray : Array containing pattern check flags. Checks are made only if flags are true. Upon check flgs are overwritten.
scan_bcd(bcdRatio, err_min, err_max, patternArray) Checks if bcd ratio is in range of any harmonic pattern
Parameters:
bcdRatio : CD/BC ratio
err_min : minimum error threshold
err_max : maximum error threshold
patternArray : Array containing pattern check flags. Checks are made only if flags are true. Upon check flgs are overwritten.
scan_xad_xcd(xadRatio, xcdRatio, err_min, err_max, patternArray) Checks if xad or xcd ratio is in range of any harmonic pattern
Parameters:
xadRatio : AD/XA ratio
xcdRatio : CD/XC ratio
err_min : minimum error threshold
err_max : maximum error threshold
patternArray : Array containing pattern check flags. Checks are made only if flags are true. Upon check flgs are overwritten.
isHarmonicPattern(x, a, b, c, d, flags, errorPercent) Checks for harmonic patterns
Parameters:
x : X coordinate value
a : A coordinate value
b : B coordinate value
c : C coordinate value
d : D coordinate value
flags : flags to check patterns. Send empty array to enable all
errorPercent : Error threshold
Returns: Array of boolean values which says whether valid pattern exist and array of corresponding pattern names
isHarmonicProjection(x, a, b, c, flags, errorPercent) Checks for harmonic pattern projection
Parameters:
x : X coordinate value
a : A coordinate value
b : B coordinate value
c : C coordinate value
flags : flags to check patterns. Send empty array to enable all
errorPercent : Error threshold
Returns: Array of boolean values which says whether valid pattern exist and array of corresponding pattern names.
get_prz_range(x, a, b, c, patternArray, errorPercent, start_adj, end_adj) Provides PRZ range based on BCD and XAD ranges
Parameters:
x : X coordinate value
a : A coordinate value
b : B coordinate value
c : C coordinate value
patternArray : Pattern flags for which PRZ range needs to be calculated
errorPercent : Error threshold
start_adj : - Adjustments for entry levels
end_adj : - Adjustments for stop levels
Returns: Start and end of consolidated PRZ range
get_prz_range_xad(x, a, b, c, patternArray, errorPercent, start_adj, end_adj) Provides PRZ range based on XAD range only
Parameters:
x : X coordinate value
a : A coordinate value
b : B coordinate value
c : C coordinate value
patternArray : Pattern flags for which PRZ range needs to be calculated
errorPercent : Error threshold
start_adj : - Adjustments for entry levels
end_adj : - Adjustments for stop levels
Returns: Start and end of consolidated PRZ range
Adaptive_LengthLibrary "Adaptive_Length"
This library contains functions to calculate Adaptive dynamic length which can be used in Moving Averages and other indicators.
Two Exponential Moving Averages (EMA) are plotted. Coloring in plot is derived from Chikou filter and Dynamic length of MA1 is adapted using Signal output from Chikou library.
dynamic(para, adapt_Pct, minLength, maxLength) Adaptive dynamic length based on boolean parameter
Parameters:
para : Boolean parameter; if true then length would decrease and would increase if its false
adapt_Pct : Percentage adaption based on parameter
minLength : Minimum allowable length
maxLength : Maximum allowable length
Returns: Adaptive Dynamic Length based on Boolean Parameter
auto_alpha(src, a) Adaptive length based on automatic alpha calculations from source input
Parameters:
src : Price source for alpha calculations
a : Input Alpha value
Returns: Adaptive Length calculated from input price Source and Alpha
HA_CandlesLibrary "HA_Candles"
Heikin Ashi Candles
HA_Close() Heikin Ashi Modified Close
Returns: Heikin Ashi Modified Close
HA_Open() Heikin Ashi Modified Open
Returns: Heikin Ashi Modified Open
HA_High() Heikin Ashi Modified High
Returns: Heikin Ashi Modified High
HA_Low() Heikin Ashi Modified Low
Returns: Heikin Ashi Modified Low
HA_Delta(Heikin) Heikin Ashi Delta
Parameters:
Heikin : Ashi Close, Heikin Ashi Open
Returns: Heikin Ashi Delta
RVSILibrary "RVSI"
This Library contains functions that calculate all types of " Relative Volume Strength Index (MZ RVSI ) " depending upon unique volume oscillator. Achieved RVSI value can be used for divergence detection in volume or to adapt dynamic length in Moving Averages or other functions.
rvsi_tfs(vol_src, vol_Len, rvsiLen, _open, _close) Relative Volume Strength Index based on TFS Volume Oscillator
Parameters:
vol_src : Volume Source
vol_Len : Volume Legth for TFS Volume Oscillato
rvsiLen : Period of Relative Volume Strength Index
_open : Ticker Open Value
_close : Ticker Close Value
Returns: Relative Volume Strength Index value based on TFS Volume Oscillator
rvsi_obv(vol_src, rvsiLen, _close) Relative Volume Strength Index based on On Balance Volume
Parameters:
vol_src : Volume Source to Calculate On Balance Volume
rvsiLen : Period of Relative Volume Strength Index
_close : Ticker Close Value
Returns: Relative Volume Strength Index value based on On Balance Volume
rvsi_kvo(vol_src, FastX, SlowX, rvsiLen, _close) Relative Volume Strength Index based on Klinger Volume Oscillator
Parameters:
vol_src : Volume Source
FastX : Volume Fast Length
SlowX : Volume Slow Length
rvsiLen : Period of Relative Volume Strength Index
_close : Ticker Close Value
Returns: Relative Volume Strength Index value based on Klinger Volume Oscillator
rvsi_vzo(vol_src, zLen, rvsiLen, _close) Relative Volume Strength Index based on Volume Zone Oscillator
Parameters:
vol_src : Volume Source
zLen : Volume Legth for Volume Zone Oscillator
rvsiLen : Period of Relative Volume Strength Index
_close : Ticker Close Value
Returns: Relative Volume Strength Index value based on Volume Zone Oscillator
rvsi_cvo_obv(vol_src, ema1len, ema2len, rvsiLen) Relative Volume Strength Index based on Cumulative Volume Oscillator with On Balance Volume as Calculations Source
Parameters:
vol_src : Volume Source
ema1len : EMA Fast Length
ema2len : EMA Slow Length
rvsiLen : Period of Relative Volume Strength Index
Returns: Relative Volume Strength Index value based on Cumulative Volume Oscillator with On Balance Volume as Calculations Source
rvsi_cvo_pvt(vol_src, FastX, SlowX, rvsiLen) Relative Volume Strength Index based on Cumulative Volume Oscillator with Price Volume Trend as Calculations Source
Parameters:
vol_src : Volume Source
FastX : EMA Fast Length
SlowX : EMA Slow Length
rvsiLen : Period of Relative Volume Strength Index
Returns: Relative Volume Strength Index value based on Cumulative Volume Oscillator with Price Volume Trend as Calculations Source
rvsi_cvo_cvd(vol_src, FastX, SlowX, rvsiLen, _open, _close, _high, _low) Relative Volume Strength Index based on Cumulative Volume Oscillator with Cumulative Volume Delta as Calculations Source
Parameters:
vol_src : Volume Source
FastX : EMA Fast Length
SlowX : EMA Slow Length
rvsiLen : Period of Relative Volume Strength Index
_open : Ticker Open Value
_close : Ticker Close Value
_high : Ticker High Value
_low : Ticker Low Value
Returns: Relative Volume Strength Index value based on Cumulative Volume Oscillator with Cumulative Volume Delta as Calculations Source
JohnEhlersFourierTransformLibrary "JohnEhlersFourierTransform"
Fourier Transform for Traders By John Ehlers, slightly modified to allow to inspect other than the 8-50 frequency spectrum.
reference:
www.mesasoftware.com
high_pass_filter(source) Detrended version of the data by High Pass Filtering with a 40 Period cutoff
Parameters:
source : float, data source.
Returns: float.
transformed_dft(source, start_frequency, end_frequency) DFT by John Elhers.
Parameters:
source : float, data source.
start_frequency : int, lower bound of the frequency window, must be a positive number >= 0, window must be less than or 30.
end_frequency : int, upper bound of the frequency window, must be a positive number >= 0, window must be less than or 30.
Returns: tuple with float, float array.
db_to_rgb(db, transparency) converts the frequency decibels to rgb.
Parameters:
db : float, decibels value.
transparency : float, transparency value.
Returns: color.
windowing_taAll Signals Are the Sum of Sines. When looking at real-world signals, you usually view them as a price changing over time. This is referred to as the time domain. Fourier’s theorem states that any waveform in the time domain can be represented by the weighted sum of sines and cosines. For example, take two sine waves, where one is three times as fast as the other–or the frequency is 1/3 the first signal. When you add them, you can see you get a different signal.
Although performing an FFT on a signal can provide great insight, it is important to know the limitations of the FFT and how to improve the signal clarity using windowing. When you use the FFT to measure the frequency component of a signal, you are basing the analysis on a finite set of data. The actual FFT transform assumes that it is a finite data set, a continuous spectrum that is one period of a periodic signal. For the FFT, both the time domain and the frequency domain are circular topologies, so the two endpoints of the time waveform are interpreted as though they were connected together. When the measured signal is periodic and an integer number of periods fill the acquisition time interval, the FFT turns out fine as it matches this assumption. However, many times, the measured signal isn’t an integer number of periods. Therefore, the finiteness of the measured signal may result in a truncated waveform with different characteristics from the original continuous-time signal, and the finiteness can introduce sharp transition changes into the measured signal. The sharp transitions are discontinuities.
When the number of periods in the acquisition is not an integer, the endpoints are discontinuous. These artificial discontinuities show up in the FFT as high-frequency components not present in the original signal. These frequencies can be much higher than the Nyquist frequency and are aliased between 0 and half of your sampling rate. The spectrum you get by using a FFT, therefore, is not the actual spectrum of the original signal, but a smeared version. It appears as if energy at one frequency leaks into other frequencies. This phenomenon is known as spectral leakage, which causes the fine spectral lines to spread into wider signals.
You can minimize the effects of performing an FFT over a noninteger number of cycles by using a technique called windowing. Windowing reduces the amplitude of the discontinuities at the boundaries of each finite sequence acquired by the digitizer. Windowing consists of multiplying the time record by a finite-length window with an amplitude that varies smoothly and gradually toward zero at the edges. This makes the endpoints of the waveform meet and, therefore, results in a continuous waveform without sharp transitions. This technique is also referred to as applying a window.
Here is a windowing_ta library with J.F Ehlers Windowing functions proposed on Sep, 2021.
Library "windowing_ta"
hann()
hamm()
fir_sma()
fir_triangle()
TAExtLibrary "TAExt"
Indicator functions can be used in other indicators and strategies. This will be extended by time with indicators I use in my strategies and studies.
atrwo(length, stdev_length, stdev_mult) ATR without outliers
Parameters:
length : The length of the ATR
stdev_length : The length of the standard deviation, used for detecting outliers
stdev_mult : The multiplier of the standard deviation, used for detecting outliers
Returns: The ATR value
atrwma(src, period, type, atr_length, stdev_length, stdev_mult) ATR without outlier weighted moving average
Parameters:
src : The source of the moving average
period : The period of the moving average
type : The type of the moving average, possible values: SMA, EMA, RMA
atr_length : The length of the ATR
stdev_length : The length of the standard deviation, used for detecting outliers
stdev_mult : The multiplier of the standard deviation, used for detecting outliers
Returns: The moving average value
jma(src, period, phase, power) Jurik Moving Average
Parameters:
src : The source of the moving average
period : The period of the moving average calculation
phase : The phase of jurik MA calculation (-100..100)
power : The power of jurik MA calculation
Returns: The Jurik MA series
anyma(src, period, type, offset, sigma, phase, power) Moving Average by type
Parameters:
src : The source of the moving average
period : The period of the moving average calculation
type : The type of the moving average
offset : Used only by ALMA, it is the ALMA offset
sigma : Used only by ALMA, it is the ALMA sigma
phase : The phase of jurik MA calculation (-100..100)
power : The power of jurik MA calculation
Returns: The moving average series
wae(macd_src, macd_fast_length, macd_slow_length, macd_sensitivity, bb_base_src, bb_upper_src, bb_lower_src, bb_length, bb_mult, dead_zone_length, dead_zone_mult) Waddah Attar Explosion (WAE)
Parameters:
macd_src : The source series used by MACD
macd_fast_length : The fast MA length of the MACD
macd_slow_length : The slow MA length of the MACD
macd_sensitivity : The MACD diff multiplier
bb_base_src : The source used by stdev
bb_upper_src : The source used by the upper Bollinger Band
bb_lower_src : The source used by the lower Bollinger Band
bb_length : The lenth for Bollinger Bands
bb_mult : The multiplier for Bollinger Bands
dead_zone_length : The ATR length for dead zone calculation
dead_zone_mult : The ATR multiplier for dead zone
Returns:
ssl(length, high_src, low_src) Semaphore Signal Level channel (SSL)
Parameters:
length : The length of the moving average
high_src : Source of the high moving average
low_src : Source of the low moving average
Returns:
adx(atr_length, di_length, adx_length, high_src, low_src, atr_ma_type, di_ma_type, adx_ma_type) Average Directional Index + Direction Movement Index (ADX + DMI)
Parameters:
atr_length : The length of ATR
di_length : DI plus and minus smoothing length
adx_length : ADX smoothing length
high_src : Source of the high moving average
low_src : Source of the low moving average
atr_ma_type : MA type of the ATR calculation
di_ma_type : MA type of the DI calculation
adx_ma_type : MA type of the ADX calculation
Returns:
historicalrangeLibrary "historicalrange"
Library provices a method to calculate historical percentile range of series.
hpercentrank(source) calculates historical percentrank of the source
Parameters:
source : Source for which historical percentrank needs to be calculated. Source should be ranging between 0-100. If using a source which can beyond 0-100, use short term percentrank to baseline them.
Returns: pArray - percentrank array which contains how many instances of source occurred at different levels.
upperPercentile - percentile based on higher value
lowerPercentile - percentile based on lower value
median - median value of the source
max - max value of the source
distancefromath(source) returns stats on historical distance from ath in terms of percentage
Parameters:
source : for which stats are calculated
Returns: percentile and related historical stats regarding distance from ath
distancefromma(maType, length, source) returns stats on historical distance from moving average in terms of percentage
Parameters:
maType : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length : Moving Average Length
source : for which stats are calculated
Returns: percentile and related historical stats regarding distance from ath
bpercentb(source, maType, length, multiplier, sticky) returns percentrank and stats on historical bpercentb levels
Parameters:
source : Moving Average Source
maType : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length : Moving Average Length
multiplier : Standard Deviation multiplier
sticky : - sticky boundaries which will only change when value is outside boundary.
Returns: percentile and related historical stats regarding Bollinger Percent B
kpercentk(source, maType, length, multiplier, useTrueRange, sticky) returns percentrank and stats on historical kpercentk levels
Parameters:
source : Moving Average Source
maType : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length : Moving Average Length
multiplier : Standard Deviation multiplier
useTrueRange : - if set to false, uses high-low.
sticky : - sticky boundaries which will only change when value is outside boundary.
Returns: percentile and related historical stats regarding Keltener Percent K
dpercentd(useAlternateSource, alternateSource, length, sticky) returns percentrank and stats on historical dpercentd levels
Parameters:
useAlternateSource : - Custom source is used only if useAlternateSource is set to true
alternateSource : - Custom source
length : - donchian channel length
sticky : - sticky boundaries which will only change when value is outside boundary.
Returns: percentile and related historical stats regarding Donchian Percent D
oscillator(type, length, shortLength, longLength, source, highSource, lowSource, method, highlowLength, sticky) oscillator - returns Choice of oscillator with custom overbought/oversold range
Parameters:
type : - oscillator type. Valid values : cci, cmo, cog, mfi, roc, rsi, stoch, tsi, wpr
length : - Oscillator length - not used for TSI
shortLength : - shortLength only used for TSI
longLength : - longLength only used for TSI
source : - custom source if required
highSource : - custom high source for stochastic oscillator
lowSource : - custom low source for stochastic oscillator
method : - Valid values for method are : sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
highlowLength : - length on which highlow of the oscillator is calculated
sticky : - overbought, oversold levels won't change unless crossed
Returns: percentile and related historical stats regarding oscillator
ZxLibraryLibrary "ZxLibrary"
ZxLibrary is an easy with more than 130 Indicators and more than 60 Candlestick Patterns.
dc_taAdaptive technical indicators are importants in a non stationary market, the ability to adapt to a situation can boost the efficiency of your strategy. A lot of methods have been proposed to make technical indicators "smarters", the dominant cycle tuned indicators are one of them which are based on J.F.Ehlers theory. Here is a collections of algorithms to calculate dominant cycles. ENJOY!
Library "dc_ta"
bton()
EhlersHoDyDC()
EhlersPhAcDC()
EhlersDuDiDC()
EhlersCycPer()
EhlersCycPer2()
EhlersBPZC()
EhlersAutoPer()
EhlersHoDyDCE()
EhlersPhAcDCE()
EhlersDuDiDCE()
EhlersDFTDC()
EhlersDFTDC2()
interval_taA pine V5 library with several functions to handle time and sessions in trading.
Library "interval_ta"
bton()
tir()
nbs()
ismarket()
isclose()
dow()
tp1_timestamp()
datetime()
noldo_taI'm a follower of Noldo, and I've learned almost all of his published scripts. I like some of the basic functions he wrote so much that I decided to collect them as a noldo_ta library file to share. Most of these functions are the same as Noldo's version, and there are some interesting algorithmic processing, which I also encapsulated into functions. Enjoy.
COURTESY OF NOLDO for these intersting functions!
Library "noldo_ta"
bton()
f_ema()
f_highest()
f_lowest()
f_rma()
f_rsi()
f_stoch()
f_kdj()
f_sum()
f_sma()
f_stdev()
f_bb()
f_pearson_corr()
f_multiple_corr()
f_adjusted_r_squared()
f_mfi()
dow()
pivothl()
f_adjusted_r_squared2()
linreg()
f_roc()
f_macd()
f_mom()
f_wma()
f_hull()
f_vwma()
f_obv()
f_sar()
f_stochastic()
f_stochrsi()
f_stochmfi()
f_kst()
f_smahist()
f_emahist()
f_fisher()
f_ao()
f_accdist()
f_highestbars()
f_lowestbars()
BjCandlePatternsLibrary "BjCandlePatterns"
Patterns is a Japanese candlestick pattern recognition Library for developers. Functions here within detect viable setups in a variety of popular patterns. Please note some patterns are without filters such as comparisons to average candle sizing, or trend detection to allow the author more freedom.
doji(dojiSize, dojiWickSize) Detects "Doji" candle patterns
Parameters:
dojiSize : (float) The relationship of body to candle size (ie. body is 5% of total candle size). Default is 5.0 (5%)
dojiWickSize : (float) Maximum wick size comparative to the opposite wick. (eg. 2 = bottom wick must be less than or equal to 2x the top wick). Default is 2
Returns: (series bool) True when pattern detected
dLab(showLabel, labelColor, textColor) Produces "Doji" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
bullEngulf(maxRejectWick, mustEngulfWick) Detects "Bullish Engulfing" candle patterns
Parameters:
maxRejectWick : (float) Maximum rejection wick size.
The maximum wick size as a percentge of body size allowable for a top wick on the resolution candle of the pattern. 0.0 disables the filter.
eg. 50 allows a top wick half the size of the body. Default is 0% (Disables wick detection).
mustEngulfWick : (bool) input to only detect setups that close above the high prior effectively engulfing the candle in its entirety. Default is false
Returns: (series bool) True when pattern detected
bewLab(showLabel, labelColor, textColor) Produces "Bullish Engulfing" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
bearEngulf(maxRejectWick, mustEngulfWick) Detects "Bearish Engulfing" candle patterns
Parameters:
maxRejectWick : (float) Maximum rejection wick size.
The maximum wick size as a percentge of body size allowable for a bottom wick on the resolution candle of the pattern. 0.0 disables the filter.
eg. 50 allows a botom wick half the size of the body. Default is 0% (Disables wick detection).
mustEngulfWick : (bool) Input to only detect setups that close below the low prior effectively engulfing the candle in its entirety. Default is false
Returns: (series bool) True when pattern detected
bebLab(showLabel, labelColor, textColor) Produces "Bearish Engulfing" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
hammer(ratio, shadowPercent) Detects "Hammer" candle patterns
Parameters:
ratio : (float) The relationship of body to candle size (ie. body is 33% of total candle size). Default is 33%.
shadowPercent : (float) The maximum allowable top wick size as a percentage of body size. Default is 5%.
Returns: (series bool) True when pattern detected
hLab(showLabel, labelColor, textColor) Produces "Hammer" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
star(ratio, shadowPercent) Detects "Star" candle patterns
Parameters:
ratio : (float) The relationship of body to candle size (ie. body is 33% of total candle size). Default is 33%.
shadowPercent : (float) The maximum allowable bottom wick size as a percentage of body size. Default is 5%.
Returns: (series bool) True when pattern detected
ssLab(showLabel, labelColor, textColor) Produces "Star" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
dragonflyDoji() Detects "Dragonfly Doji" candle patterns
Returns: (series bool) True when pattern detected
ddLab(showLabel, labelColor) Produces "Dragonfly Doji" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
Returns: (series label) A label visible at the chart level intended for the title pattern
gravestoneDoji() Detects "Gravestone Doji" candle patterns
Returns: (series bool) True when pattern detected
gdLab(showLabel, labelColor, textColor) Produces "Gravestone Doji" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
tweezerBottom(closeUpperHalf) Detects "Tweezer Bottom" candle patterns
Parameters:
closeUpperHalf : (bool) input to only detect setups that close above the mid-point of the candle prior increasing its bullish tendancy. Default is false
Returns: (series bool) True when pattern detected
tbLab(showLabel, labelColor, textColor) Produces "Tweezer Bottom" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
tweezerTop(closeLowerHalf) Detects "TweezerTop" candle patterns
Parameters:
closeLowerHalf : (bool) input to only detect setups that close below the mid-point of the candle prior increasing its bearish tendancy. Default is false
Returns: (series bool) True when pattern detected
ttLab(showLabel, labelColor, textColor) Produces "TweezerTop" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
spinningTopBull(wickSize) Detects "Bullish Spinning Top" candle patterns
Parameters:
wickSize : (float) input to adjust detection of the size of the top wick/ bottom wick as a percent of total candle size. Default is 34%, which ensures the wicks are both larger than the body.
Returns: (series bool) True when pattern detected
stwLab(showLabel, labelColor, textColor) Produces "Bullish Spinning Top" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
spinningTopBear(wickSize) Detects "Bearish Spinning Top" candle patterns
Parameters:
wickSize : (float) input to adjust detection of the size of the top wick/ bottom wick as a percent of total candle size. Default is 34%, which ensures the wicks are both larger than the body.
Returns: (series bool) True when pattern detected
stbLab(showLabel, labelColor, textColor) Produces "Bearish Spinning Top" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
spinningTop(wickSize) Detects "Spinning Top" candle patterns
Parameters:
wickSize : (float) input to adjust detection of the size of the top wick/ bottom wick as a percent of total candle size. Default is 34%, which ensures the wicks are both larger than the body.
Returns: (series bool) True when pattern detected
stLab(showLabel, labelColor, textColor) Produces "Spinning Top" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
morningStar() Detects "Bullish Morning Star" candle patterns
Returns: (series bool) True when pattern detected
msLab(showLabel, labelColor, textColor) Produces "Bullish Morning Star" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
eveningStar() Detects "Bearish Evening Star" candle patterns
Returns: (series bool) True when pattern detected
esLab(showLabel, labelColor, textColor) Produces "Bearish Evening Star" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
haramiBull() Detects "Bullish Harami" candle patterns
Returns: (series bool) True when pattern detected
hwLab(showLabel, labelColor, textColor) Produces "Bullish Harami" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
haramiBear() Detects "Bearish Harami" candle patterns
Returns: (series bool) True when pattern detected
hbLab(showLabel, labelColor, textColor) Produces "Bearish Harami" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
haramiBullCross() Detects "Bullish Harami Cross" candle patterns
Returns: (series bool) True when pattern detected
hcwLab(showLabel, labelColor, textColor) Produces "Bullish Harami Cross" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
haramiBearCross() Detects "Bearish Harami Cross" candle patterns
Returns: (series bool) True when pattern detected
hcbLab(showLabel, labelColor) Produces "Bearish Harami Cross" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
Returns: (series label) A label visible at the chart level intended for the title pattern
marubullzu() Detects "Bullish Marubozu" candle patterns
Returns: (series bool) True when pattern detected
mwLab(showLabel, labelColor, textColor) Produces "Bullish Marubozu" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
marubearzu() Detects "Bearish Marubozu" candle patterns
Returns: (series bool) True when pattern detected
mbLab(showLabel, labelColor, textColor) Produces "Bearish Marubozu" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
abandonedBull() Detects "Bullish Abandoned Baby" candle patterns
Returns: (series bool) True when pattern detected
abwLab(showLabel, labelColor, textColor) Produces "Bullish Abandoned Baby" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
abandonedBear() Detects "Bearish Abandoned Baby" candle patterns
Returns: (series bool) True when pattern detected
abbLab(showLabel, labelColor, textColor) Produces "Bearish Abandoned Baby" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
piercing() Detects "Piercing" candle patterns
Returns: (series bool) True when pattern detected
pLab(showLabel, labelColor, textColor) Produces "Piercing" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
darkCloudCover() Detects "Dark Cloud Cover" candle patterns
Returns: (series bool) True when pattern detected
dccLab(showLabel, labelColor, textColor) Produces "Dark Cloud Cover" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
tasukiBull() Detects "Upside Tasuki Gap" candle patterns
Returns: (series bool) True when pattern detected
utgLab(showLabel, labelColor, textColor) Produces "Upside Tasuki Gap" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
tasukiBear() Detects "Downside Tasuki Gap" candle patterns
Returns: (series bool) True when pattern detected
dtgLab(showLabel, labelColor, textColor) Produces "Downside Tasuki Gap" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
risingThree() Detects "Rising Three Methods" candle patterns
Returns: (series bool) True when pattern detected
rtmLab(showLabel, labelColor, textColor) Produces "Rising Three Methods" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
fallingThree() Detects "Falling Three Methods" candle patterns
Returns: (series bool) True when pattern detected
ftmLab(showLabel, labelColor, textColor) Produces "Falling Three Methods" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
risingWindow() Detects "Rising Window" candle patterns
Returns: (series bool) True when pattern detected
rwLab(showLabel, labelColor, textColor) Produces "Rising Window" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
fallingWindow() Detects "Falling Window" candle patterns
Returns: (series bool) True when pattern detected
fwLab(showLabel, labelColor, textColor) Produces "Falling Window" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
kickingBull() Detects "Bullish Kicking" candle patterns
Returns: (series bool) True when pattern detected
kwLab(showLabel, labelColor, textColor) Produces "Bullish Kicking" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
kickingBear() Detects "Bearish Kicking" candle patterns
Returns: (series bool) True when pattern detected
kbLab(showLabel, labelColor, textColor) Produces "Bearish Kicking" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
lls(ratio) Detects "Long Lower Shadow" candle patterns
Parameters:
ratio : (float) A relationship of the lower wick to the overall candle size expressed as a percent. Default is 75%
Returns: (series bool) True when pattern detected
llsLab(showLabel, labelColor, textColor) Produces "Long Lower Shadow" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
lus(ratio) Detects "Long Upper Shadow" candle patterns
Parameters:
ratio : (float) A relationship of the upper wick to the overall candle size expressed as a percent. Default is 75%
Returns: (series bool) True when pattern detected
lusLab(showLabel, labelColor, textColor) Produces "Long Upper Shadow" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
bullNeck() Detects "Bullish On Neck" candle patterns
Returns: (series bool) True when pattern detected
nwLab(showLabel, labelColor, textColor) Produces "Bullish On Neck" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
bearNeck() Detects "Bearish On Neck" candle patterns
Returns: (series bool) True when pattern detected
nbLab(showLabel, labelColor, textColor) Produces "Bearish On Neck" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
soldiers(wickSize) Detects "Three White Soldiers" candle patterns
Parameters:
wickSize : (float) Maximum allowable top wick size throughout pattern expressed as a percent of total candle height. Default is 5%
Returns: (series bool) True when pattern detected
wsLab(showLabel, labelColor, textColor) Produces "Three White Soldiers" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
crows(wickSize) Detects "Three Black Crows" candle patterns
Parameters:
wickSize : (float) Maximum allowable bottom wick size throughout pattern expressed as a percent of total candle height. Default is 5%
Returns: (series bool) True when pattern detected
bcLab(showLabel, labelColor, textColor) Produces "Three Black Crows" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
triStarBull() Detects "Bullish Tri-Star" candle patterns
Returns: (series bool) True when pattern detected
tswLab(showLabel, labelColor, textColor) Produces "Bullish Tri-Star" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
triStarBear() Detects "Bearish Tri-Star" candle patterns
Returns: (series bool) True when pattern detected
tsbLab(showLabel, labelColor, textColor) Produces "Bearish Tri-Star" identifier label
Parameters:
showLabel : (bool) Shows label when input is true. Default is false
labelColor : (series color) Color of the label border and arrow
textColor : (series color) Text color
Returns: (series label) A label visible at the chart level intended for the title pattern
wrap(cond, barsBack, borderColor, bgcolor) Produces a box wrapping the highs and lows over the look back.
Parameters:
cond : (series bool) Condition under which to draw the box.
barsBack : (series int) the number of bars back to begin drawing the box.
borderColor : (series color) Color of the four borders. Optional. The default is color.gray.
bgcolor : (series color) Background color of the box. Optional. The default is color.gray.
Returns: (series box) A box who's top and bottom are above and below the highest and lowest points over the lookback
topWick() returns the top wick size of the current candle
Returns: (series float) A value equivelent to the distance from the top of the candle body to its high
bottomWick() returns the bottom wick size of the current candle
Returns: (series float) A value equivelent to the distance from the bottom of the candle body to its low
body() returns the body size of the current candle
Returns: (series float) A value equivelent to the distance between the top and the bottom of the candle body
highestBody() returns the highest body of the current candle
Returns: (series float) A value equivelent to the highest body, whether it is the open or the close
lowestBody() returns the lowest body of the current candle
Returns: (series float) A value equivelent to the highest body, whether it is the open or the close
barRange() returns the height of the current candle
Returns: (series float) A value equivelent to the distance between the high and the low of the candle
bodyPct() returns the body size as a percent
Returns: (series float) A value equivelent to the percentage of body size to the overall candle size
midBody() returns the price of the mid-point of the candle body
Returns: (series float) A value equivelent to the center point of the distance bewteen the body low and the body high
bodyupGap() returns true if there is a gap up between the real body of the current candle in relation to the candle prior
Returns: (series bool) true if there is a gap up and no overlap in the real bodies of the current candle and the preceding candle
bodydwnGap() returns true if there is a gap down between the real body of the current candle in relation to the candle prior
Returns: (series bool) true if there is a gap down and no overlap in the real bodies of the current candle and the preceding candle
gapUp() returns true if there is a gap down between the real body of the current candle in relation to the candle prior
Returns: (series bool) true if there is a gap down and no overlap in the real bodies of the current candle and the preceding candle
gapDwn() returns true if there is a gap down between the real body of the current candle in relation to the candle prior
Returns: (series bool) true if there is a gap down and no overlap in the real bodies of the current candle and the preceding candle
dojiBody() returns true if the candle body is a doji
Returns: (series bool) true if the candle body is a doji. Defined by a body that is 5% of total candle size
sar_taLevel: 3
Background
The Parabolic SAR is a technical indicator developed by J. Welles Wilder to determine the direction that an asset is moving. The indicator is also referred to as a stop and reverse system, which is abbreviated as SAR. It aims to identify potential reversals in the price movement of traded assets.
PINE v5 Version of SAR Library, which includes latest the Supertrend, Parabolic SAR, Gann Hilo activator, Chex indicators etc.
Function
This lib provides functions similar to SAR which can serve as a similar element for composite strategy. Parameters need to be tuned for the best performance and I will further inrish this collections.
Bonus,
If you can propose me a novel SAR source link, I would like to grant you one L4/L5 indicator with 2-month subscription for free.
Library "sar_ta"
tv_sar()
lucid_sar()
gl_activator()
ltb_sar()
chanex()
bjorgum_sar()
Pivots libraryLibrary "Pivots"
TODO: add library description here
pivots(_type, _open, _high, _low, _clsoe) Calculates the pivot point and returns its value.
Parameters:
_type : Specifies the type of pivot point.
_open : The open price
_high : The high price
_low : The low price
_clsoe : The close price
Returns: Returns the value of the calculated pivot point as a tuple.
cpr(_high, _low, _clsoe) Calculate the Central Pivot Range
Parameters:
_high : The high price
_low : The low price
_clsoe : The close price
Returns: Returns the values as a tuple.
htf_ohlc(_htf) Calculate the HTF values
Parameters:
_htf : Resolution
Returns: Returns the values as a tuple.
TitinhoIndicatorsLibraryOn this Library you cand find a shortcut for some indicators and just import them into your source.
Each indicator has its own input and output parameters and they are prety much self explanatory. :D
This is the list of the present indicators you can use with this library:
*Function_Adx()
*Function_Atr()
*Function_Mfi()
*Function_MovingAverage()
*Function_Sar()
*Function_Rsi()
*Function_StochasticRsi()
Have fun!!!
