DeepSignalFilterHelpersLibrary "DeepSignalFilterHelpers"
filter_intraday_intensity(useIiiFilter)
Parameters:
useIiiFilter (bool)
filter_vwma(src, length, useVwmaFilter)
Parameters:
src (float)
length (int)
useVwmaFilter (bool)
filter_nvi(useNviFilter)
Parameters:
useNviFilter (bool)
filter_emv(length, emvThreshold, useEmvFilter, useMovingAvg)
EMV filter for filtering signals based on Ease of Movement
Parameters:
length (int) : The length of the EMV calculation
emvThreshold (float) : The EMV threshold
useEmvFilter (bool) : Whether to apply the EMV filter
useMovingAvg (bool) : Whether to use moving average as threshold
Returns: Filtered result indicating whether the signal should be used
filter_adi(length, threshold, useAdiFilter, useMovingAvg)
ADI filter for filtering signals based on Accumulation/Distribution Index
Parameters:
length (int) : The length of the ADI moving average calculation
threshold (float) : The ADI threshold
useAdiFilter (bool) : Whether to apply the ADI filter
useMovingAvg (bool) : Whether to use moving average as threshold
Returns: Filtered result indicating whether the signal should be used
filter_mfi(length, mfiThreshold, useMfiFilter, useMovingAvg)
MFI filter for filtering signals based on Money Flow Index
Parameters:
length (int) : The length of the MFI calculation
mfiThreshold (float) : The MFI threshold
useMfiFilter (bool) : Whether to apply the MFI filter
useMovingAvg (bool) : Whether to use moving average as threshold
Returns: Filtered result indicating whether the signal should be used
detect_obv_states(obvThresholdStrong, obvThresholdModerate, lookbackPeriod, obvMode)
detect_obv_states: Identify OBV states with three levels (Strong, Moderate, Weak) over a configurable period
Parameters:
obvThresholdStrong (float) : Threshold for strong OBV movements
obvThresholdModerate (float) : Threshold for moderate OBV movements
lookbackPeriod (int) : Number of periods to analyze OBV trends
obvMode (string) : OBV mode to filter ("Strong", "Moderate", "Weak")
Returns: OBV state ("Strong Up", "Moderate Up", "Weak Up", "Positive Divergence", "Negative Divergence", "Consolidation", "Weak Down", "Moderate Down", "Strong Down")
filter_obv(src, length, obvMode, threshold, useObvFilter, useMovingAvg)
filter_obv: Filter signals based on OBV states
Parameters:
src (float) : The source series (default: close)
length (int) : The length of the OBV moving average calculation
obvMode (string) : OBV mode to filter ("Strong", "Moderate", "Weak")
threshold (float) : Optional threshold for additional filtering
useObvFilter (bool) : Whether to apply the OBV filter
useMovingAvg (bool) : Whether to use moving average as threshold
Returns: Filtered result indicating whether the signal should be used
filter_cmf(length, cmfThreshold, useCmfFilter, useMovingAvg)
CMF filter for filtering signals based on Chaikin Money Flow
Parameters:
length (int) : The length of the CMF calculation
cmfThreshold (float) : The CMF threshold
useCmfFilter (bool) : Whether to apply the CMF filter
useMovingAvg (bool) : Whether to use moving average as threshold
Returns: Filtered result indicating whether the signal should be used
filter_vwap(useVwapFilter)
VWAP filter for filtering signals based on Volume-Weighted Average Price
Parameters:
useVwapFilter (bool) : Whether to apply the VWAP filter
Returns: Filtered result indicating whether the signal should be used
filter_pvt(length, pvtThreshold, usePvtFilter, useMovingAvg)
PVT filter for filtering signals based on Price Volume Trend
Parameters:
length (int) : The length of the PVT moving average calculation
pvtThreshold (float) : The PVT threshold
usePvtFilter (bool) : Whether to apply the PVT filter
useMovingAvg (bool) : Whether to use moving average as threshold
Returns: Filtered result indicating whether the signal should be used
filter_vo(shortLength, longLength, voThreshold, useVoFilter, useMovingAvg)
VO filter for filtering signals based on Volume Oscillator
Parameters:
shortLength (int) : The length of the short-term volume moving average
longLength (int) : The length of the long-term volume moving average
voThreshold (float) : The Volume Oscillator threshold
useVoFilter (bool) : Whether to apply the VO filter
useMovingAvg (bool) : Whether to use moving average as threshold
Returns: Filtered result indicating whether the signal should be used
filter_cho(shortLength, longLength, choThreshold, useChoFilter, useMovingAvg)
CHO filter for filtering signals based on Chaikin Oscillator
Parameters:
shortLength (int) : The length of the short-term ADI moving average
longLength (int) : The length of the long-term ADI moving average
choThreshold (float) : The Chaikin Oscillator threshold
useChoFilter (bool) : Whether to apply the CHO filter
useMovingAvg (bool) : Whether to use moving average as threshold
Returns: Filtered result indicating whether the signal should be used
filter_fi(length, fiThreshold, useFiFilter, useMovingAvg)
FI filter for filtering signals based on Force Index
Parameters:
length (int) : The length of the FI calculation
fiThreshold (float) : The Force Index threshold
useFiFilter (bool) : Whether to apply the FI filter
useMovingAvg (bool) : Whether to use moving average as threshold
Returns: Filtered result indicating whether the signal should be used
filter_garman_klass_volatility(length, useGkFilter)
Parameters:
length (int)
useGkFilter (bool)
filter_frama(src, length, useFramaFilter)
Parameters:
src (float)
length (int)
useFramaFilter (bool)
filter_bollinger_bands(src, length, stdDev, useBollingerFilter)
Parameters:
src (float)
length (int)
stdDev (float)
useBollingerFilter (bool)
filter_keltner_channel(src, length, atrMult, useKeltnerFilter)
Parameters:
src (float)
length (simple int)
atrMult (float)
useKeltnerFilter (bool)
regime_filter(src, threshold, useRegimeFilter)
Regime filter for filtering signals based on trend strength
Parameters:
src (float) : The source series
threshold (float) : The threshold for the filter
useRegimeFilter (bool) : Whether to apply the regime filter
Returns: Filtered result indicating whether the signal should be used
regime_filter_v2(src, threshold, useRegimeFilter)
Regime filter for filtering signals based on trend strength
Parameters:
src (float) : The source series
threshold (float) : The threshold for the filter
useRegimeFilter (bool) : Whether to apply the regime filter
Returns: Filtered result indicating whether the signal should be used
filter_adx(src, length, adxThreshold, useAdxFilter)
ADX filter for filtering signals based on ADX strength
Parameters:
src (float) : The source series
length (simple int) : The length of the ADX calculation
adxThreshold (int) : The ADX threshold
useAdxFilter (bool) : Whether to apply the ADX filter
Returns: Filtered result indicating whether the signal should be used
filter_volatility(minLength, maxLength, useVolatilityFilter)
Volatility filter for filtering signals based on volatility
Parameters:
minLength (simple int) : The minimum length for ATR calculation
maxLength (simple int) : The maximum length for ATR calculation
useVolatilityFilter (bool) : Whether to apply the volatility filter
Returns: Filtered result indicating whether the signal should be used
filter_ulcer(src, length, ulcerThreshold, useUlcerFilter)
Ulcer Index filter for filtering signals based on Ulcer Index
Parameters:
src (float) : The source series
length (int) : The length of the Ulcer Index calculation
ulcerThreshold (float) : The Ulcer Index threshold (default: average Ulcer Index)
useUlcerFilter (bool) : Whether to apply the Ulcer Index filter
Returns: Filtered result indicating whether the signal should be used
filter_stddev(src, length, stdDevThreshold, useStdDevFilter)
Standard Deviation filter for filtering signals based on Standard Deviation
Parameters:
src (float) : The source series
length (int) : The length of the Standard Deviation calculation
stdDevThreshold (float) : The Standard Deviation threshold (default: average Standard Deviation)
useStdDevFilter (bool) : Whether to apply the Standard Deviation filter
Returns: Filtered result indicating whether the signal should be used
filter_macdv(src, shortLength, longLength, signalSmoothing, macdVThreshold, useMacdVFilter)
MACD-V filter for filtering signals based on MACD-V
Parameters:
src (float) : The source series
shortLength (simple int) : The short length for MACD calculation
longLength (simple int) : The long length for MACD calculation
signalSmoothing (simple int) : The signal smoothing length for MACD
macdVThreshold (float) : The MACD-V threshold (default: average MACD-V)
useMacdVFilter (bool) : Whether to apply the MACD-V filter
Returns: Filtered result indicating whether the signal should be used
filter_atr(length, atrThreshold, useAtrFilter)
ATR filter for filtering signals based on Average True Range (ATR)
Parameters:
length (simple int) : The length of the ATR calculation
atrThreshold (float) : The ATR threshold (default: average ATR)
useAtrFilter (bool) : Whether to apply the ATR filter
Returns: Filtered result indicating whether the signal should be used
filter_candle_body_and_atr(length, bodyThreshold, atrThreshold, useFilter)
Candle Body and ATR filter for filtering signals
Parameters:
length (simple int) : The length of the ATR calculation
bodyThreshold (float) : The threshold for candle body size (relative to ATR)
atrThreshold (float) : The ATR threshold (default: average ATR)
useFilter (bool) : Whether to apply the candle body and ATR filter
Returns: Filtered result indicating whether the signal should be used
filter_atrp(length, atrpThreshold, useAtrpFilter)
ATRP filter for filtering signals based on ATR Percentage (ATRP)
Parameters:
length (simple int) : The length of the ATR calculation
atrpThreshold (float) : The ATRP threshold (default: average ATRP)
useAtrpFilter (bool) : Whether to apply the ATRP filter
Returns: Filtered result indicating whether the signal should be used
filter_jma(src, length, phase, useJmaFilter)
Parameters:
src (float)
length (simple int)
phase (float)
useJmaFilter (bool)
filter_cidi(src, rsiLength, shortMaLength, longMaLength, useCidiFilter)
Parameters:
src (float)
rsiLength (simple int)
shortMaLength (int)
longMaLength (int)
useCidiFilter (bool)
filter_rsi(src, length, rsiThreshold, useRsiFilter)
Parameters:
src (float)
length (simple int)
rsiThreshold (float)
useRsiFilter (bool)
filter_ichimoku_oscillator(length, threshold, useFilter)
Ichimoku Oscillator filter for filtering signals based on Ichimoku Oscillator
Parameters:
length (int) : The length of the Ichimoku Oscillator calculation
threshold (float) : The threshold for the filter (default: average Ichimoku Oscillator)
useFilter (bool) : Whether to apply the filter
Returns: Filtered result indicating whether the signal should be used
filter_cmb_composite_index(src, shortLength, longLength, threshold, useFilter)
CMB Composite Index filter for filtering signals based on CMB Composite Index
Parameters:
src (float) : The source series
shortLength (simple int) : The short length for CMB calculation
longLength (simple int) : The long length for CMB calculation
threshold (float) : The threshold for the filter (default: average CMB Composite Index)
useFilter (bool) : Whether to apply the filter
Returns: Filtered result indicating whether the signal should be used
filter_connors_rsi(src, rsiLength, rocLength, streakLength, threshold, useFilter)
Connors RSI filter for filtering signals based on Connors RSI
Parameters:
src (float) : The source series
rsiLength (simple int) : The length for RSI calculation
rocLength (int) : The length for ROC calculation
streakLength (simple int) : The length for streak calculation
threshold (float) : The threshold for the filter (default: average Connors RSI)
useFilter (bool) : Whether to apply the filter
Returns: Filtered result indicating whether the signal should be used
filter_coppock_curve(src, roc1Length, roc2Length, wmaLength, threshold, useFilter)
Coppock Curve filter for filtering signals based on Coppock Curve
Parameters:
src (float) : The source series
roc1Length (int) : The length for the first ROC calculation
roc2Length (int) : The length for the second ROC calculation
wmaLength (int) : The length for the WMA calculation
threshold (float) : The threshold for the filter (default: average Coppock Curve)
useFilter (bool) : Whether to apply the filter
Returns: Filtered result indicating whether the signal should be used
filter_pmo(src, pmoLength, smoothingLength, threshold, useFilter)
DecisionPoint Price Momentum Oscillator filter for filtering signals based on PMO
Parameters:
src (float) : The source series
pmoLength (simple int) : The length for PMO calculation
smoothingLength (simple int) : The smoothing length for PMO
threshold (float) : The threshold for the filter (default: average PMO Oscillator)
useFilter (bool) : Whether to apply the filter
Returns: Filtered result indicating whether the signal should be used
filter_macd(src, shortLength, longLength, signalSmoothing, threshold, useFilter)
MACD filter for filtering signals based on MACD
Parameters:
src (float) : The source series
shortLength (simple int) : The short length for MACD calculation
longLength (simple int) : The long length for MACD calculation
signalSmoothing (simple int) : The signal smoothing length for MACD
threshold (float) : The threshold for the filter (default: average MACD)
useFilter (bool) : Whether to apply the filter
Returns: Filtered result indicating whether the signal should be used
filter_macd_histogram(src, shortLength, longLength, signalSmoothing, threshold, useFilter)
MACD-Histogram filter for filtering signals based on MACD-Histogram
Parameters:
src (float) : The source series
shortLength (simple int) : The short length for MACD calculation
longLength (simple int) : The long length for MACD calculation
signalSmoothing (simple int) : The signal smoothing length for MACD
threshold (float) : The threshold for the filter (default: average MACD-Histogram)
useFilter (bool) : Whether to apply the filter
Returns: Filtered result indicating whether the signal should be used
filter_kst(src, r1, r2, r3, r4, sm1, sm2, sm3, sm4, signalLength, threshold, useFilter)
Pring's Know Sure Thing filter for filtering signals based on KST
Parameters:
src (float) : The source series
r1 (int) : The first ROC length
r2 (int) : The second ROC length
r3 (int) : The third ROC length
r4 (int) : The fourth ROC length
sm1 (int) : The first smoothing length
sm2 (int) : The second smoothing length
sm3 (int) : The third smoothing length
sm4 (int) : The fourth smoothing length
signalLength (int) : The signal line smoothing length
threshold (float) : The threshold for the filter (default: average KST Oscillator)
useFilter (bool) : Whether to apply the filter
Returns: Filtered result indicating whether the signal should be used
filter_special_k(src, r1, r2, r3, r4, sm1, sm2, sm3, sm4, threshold, useFilter)
Pring's Special K filter for filtering signals based on Special K
Parameters:
src (float) : The source series
r1 (int) : The first ROC length
r2 (int) : The second ROC length
r3 (int) : The third ROC length
r4 (int) : The fourth ROC length
sm1 (int) : The first smoothing length
sm2 (int) : The second smoothing length
sm3 (int) : The third smoothing length
sm4 (int) : The fourth smoothing length
threshold (float) : The threshold for the filter (default: average Special K)
useFilter (bool) : Whether to apply the filter
Returns: Filtered result indicating whether the signal should be used
filter_roc_momentum(src, rocLength, momentumLength, threshold, useFilter)
ROC and Momentum filter for filtering signals based on ROC and Momentum
Parameters:
src (float) : The source series
rocLength (int) : The length for ROC calculation
momentumLength (int) : The length for Momentum calculation
threshold (float) : The threshold for the filter (default: average ROC and Momentum)
useFilter (bool) : Whether to apply the filter
Returns: Filtered result indicating whether the signal should be used
filter_rrg_relative_strength(src, length, threshold, useFilter)
RRG Relative Strength filter for filtering signals based on RRG Relative Strength
Parameters:
src (float) : The source series
length (int) : The length for RRG Relative Strength calculation
threshold (float) : The threshold for the filter (default: average RRG Relative Strength)
useFilter (bool) : Whether to apply the filter
Returns: Filtered result indicating whether the signal should be used
filter_alligator(useFilter)
Parameters:
useFilter (bool)
filter_wyckoff(useFilter)
Parameters:
useFilter (bool)
filter_squeeze_momentum(bbLength, bbStdDev, kcLength, kcMult, useFilter)
Parameters:
bbLength (int)
bbStdDev (float)
kcLength (simple int)
kcMult (float)
useFilter (bool)
filter_atr_compression(length, atrThreshold, useFilter)
Parameters:
length (simple int)
atrThreshold (float)
useFilter (bool)
filter_low_volume(length, useFilter)
Parameters:
length (int)
useFilter (bool)
filter_nvi_accumulation(useFilter)
Parameters:
useFilter (bool)
filter_ma_slope(src, length, slopeThreshold, useFilter)
Parameters:
src (float)
length (int)
slopeThreshold (float)
useFilter (bool)
filter_adx_low(len, lensig, adxThreshold, useFilter)
Parameters:
len (simple int)
lensig (simple int)
adxThreshold (int)
useFilter (bool)
filter_choppiness_index(length, chopThreshold, useFilter)
Parameters:
length (int)
chopThreshold (float)
useFilter (bool)
filter_range_detection(length, useFilter)
Parameters:
length (int)
useFilter (bool)
Bar_types
NumberOfVisibleBarsLibrary "NumberOfVisibleBars"
TODO: add library description here
NumberOfVisibleBars()
Calculates the number of visible bars on the user screen
Returns: The numbers of visible bars on the user screen (int)
LinTrendLibLibrary "LinTrendLib"
TODO: add library description here
ema_trend(twz, ema_length, cross_ratio, multiplier)
Given Bullish / Bearish / side-way market jugement
Parameters:
twz (int)
ema_length (simple int)
cross_ratio (float)
multiplier (float)
Returns: 1 --> bullish trend, -1 --> bearish trend, 0 --> sideway market
COM_Scanner_LibraryLibrary "COM_Scanner_Library"
- A Trader's Edge (ATE)_Library was created to assist in constructing COM Scanners
TickerIDs(_string)
TickerIDs: You must form this single tickerID input string exactly as described in the scripts info panel (little gray 'i' that
is circled at the end of the settings in the settings/input panel that you can hover your cursor over this 'i' to read the
details of that particular input). IF the string is formed correctly then it will break up this single string parameter into
a total of 40 separate strings which will be all of the tickerIDs that the script is using in your COM Scanner.
Parameters:
_string (simple string) : (string)
A maximum of 40 Tickers (ALL joined as 1 string for the input parameter) that is formulated EXACTLY as described
within the tooltips of the TickerID inputs in my COM Scanner scripts:
assets = input.text_area(tIDs, title="TickerIDs (MUST READ TOOLTIP)", group=g2, tooltip="Accepts 40 TICKERID's
for each copy of the script on the chart. *** MUST FORMAT THIS WAY *** Each FULL tickerID
(ie 'Exchange:ticker') must be separated by A SINGLE BLANK SPACE for correct formatting. The blank space tells
the script where to break off the ticker to assign it to a variable to be used later in the script. So this input
will be a single string constructed from up to 40 tickerID's with a space between each tickerID
(ie. 'BINANCE:BTCUSDT BINANCE:SXPUSDT BINANCE:XRPUSDT').", display=display.none)
Returns: Returns 40 output variables in the tuple (ie. between the ' ') with the separated TickerIDs,
Locations(_firstLocation)
Locations: This function is used when there's a desire to print an assets ALERT LABELS. A set Location on the scale is assigned to each asset.
This is created so that if a lot of alerts are triggered, they will stay relatively visible and not overlap each other.
If you set your '_firstLocation' parameter as 1, since there are a max of 40 assets that can be scanned, the 1st asset's location
is assigned the value in the '_firstLocation' parameter, the 2nd asset's location is the (1st asset's location+1)...and so on.
Parameters:
_firstLocation (simple int) : (simple int)
Optional (starts at 1 if no parameter added).
Location that you want the first asset to print its label if is triggered to do so.
ie. loc2=loc1+1, loc3=loc2+1, etc.
Returns: Returns 40 variables for the locations for alert labels
LabelSize(_barCnt, _lblSzRfrnce)
INVALID TICKERIDs: This is to add a table in the middle right of your chart that prints all the TickerID's that were either not formulated
correctly in the '_source' input or that is not a valid symbol and should be changed.
LABEL SIZES: This function sizes your Alert Trigger Labels according to the amount of Printed Bars the chart has printed within
a set time period, while also keeping in mind the smallest relative reference size you input in the 'lblSzRfrnceInput'
parameter of this function. A HIGHER % of Printed Bars(aka...more trades occurring for that asset on the exchange),
the LARGER the Name Label will print, potentially showing you the better opportunities on the exchange to avoid
exchange manipulation liquidations.
*** SHOULD NOT be used as size of labels that are your asset Name Labels next to each asset's Line Plot...
if your COM Scanner includes these as you want these to be the same size for every asset so the larger ones dont cover the
smaller ones if the plots are all close to each other ***
Parameters:
_barCnt (float) : (float)
Get the 1st variable('barCnt') from the Security function's tuple and input it as this functions 1st input
parameter which will directly affect the size of the 2nd output variable ('alertTrigLabel') that is also outputted by this function.
_lblSzRfrnce (string) : (string)
Optional (if parameter not included, it defaults to size.small). This will be the size of the variable outputted
by this function named 'assetNameLabel' BUT also affects the size of the output variable 'alertTrigLabel' as it uses this parameter's size
as the smallest size for 'alertTrigLabel' then uses the '_barCnt' parameter to determine the next sizes up depending on the "_barCnt" value.
Returns: ( )
Returns 2 variables:
1st output variable ('AssetNameLabel') is assigned to the size of the 'lblSzRfrnceInput' parameter.
2nd output variable('alertTrigLabel') can be of variying sizes depending on the 'barCnt' parameter...BUT the smallest
size possible for the 2nd output variable ('alertTrigLabel') will be the size set in the 'lblSzRfrnceInput' parameter.
InvalidTickerIDs(_close, _securityTickerid, _invalidArray, _tablePosition, _stackVertical)
Parameters:
_close (float)
_securityTickerid (string)
_invalidArray (array)
_tablePosition (simple string)
_stackVertical (simple bool)
PrintedBarCount(_time, _barCntLength, _barCntPercentMin)
The Printed BarCount Filter looks back a User Defined amount of minutes and calculates the % of bars that have printed
out of the TOTAL amount of bars that COULD HAVE been printed within the same amount of time.
Parameters:
_time (int) : (int)
The time associated with the chart of the particular asset that is being screened at that point.
_barCntLength (int) : (int)
The amount of time (IN MINUTES) that you want the logic to look back at to calculate the % of bars that have actually
printed in the span of time you input into this parameter.
_barCntPercentMin (int) : (int)
The minimum % of Printed Bars of the asset being screened has to be GREATER than the value set in this parameter
for the output variable 'bc_gtg' to be true.
Returns: ( )
Returns 2 outputs:
1st is the % of Printed Bars that have printed within the within the span of time you input in the '_barCntLength' parameter.
2nd is true/false according to if the Printed BarCount % is above the threshold that you input into the '_barCntPercentMin' parameter.
CandleAnalysisLibrary "CandleAnalysis"
A collection of frequently used candle analysis functions in my scripts.
isBullish(barsBack)
Checks if a specific bar is bullish.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is bullish, otherwise returns false.
isBearish(barsBack)
Checks if a specific bar is bearish.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is bearish, otherwise returns false.
isBE(barsBack)
Checks if a specific bar is break even.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is break even, otherwise returns false.
getBodySize(barsBack, inPriceChg)
Calculates a specific candle's body size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the body size as a price change value. The default is false (in points).
Returns: The candle's body size in points.
getTopWickSize(barsBack, inPriceChg)
Calculates a specific candle's top wick size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the wick size as a price change value. The default is false (in points).
Returns: The candle's top wick size in points.
getBottomWickSize(barsBack, inPriceChg)
Calculates a specific candle's bottom wick size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the wick size as a price change value. The default is false (in points).
Returns: The candle's bottom wick size in points.
getBodyPercent(barsBack)
Calculates a specific candle's body size as a percentage of its entire size including its wicks.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: The candle's body size percentage.
isHammer(fib, bullish, barsBack)
Checks if a specific bar is a hammer candle based on a given fibonacci level.
Parameters:
fib (float) : (float) The fibonacci level to base candle's body on. The default is 0.382.
bullish (bool) : (bool) True if the candle must to be green. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a hammer candle, otherwise returns false.
isShootingStar(fib, bearish, barsBack)
Checks if a specific bar is a shooting star candle based on a given fibonacci level.
Parameters:
fib (float) : (float) The fibonacci level to base candle's body on. The default is 0.382.
bearish (bool) : (bool) True if the candle must to be red. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a shooting star candle, otherwise returns false.
isDoji(wickSize, bodySize, barsBack)
Checks if a specific bar is a doji candle based on a given wick and body size.
Parameters:
wickSize (float) : (float) The maximum top wick size compared to the bottom and vice versa. The default is 1.5.
bodySize (float) : (bool) The maximum body size as a percentage compared to the entire candle size. The default is 5.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a doji candle.
isBullishEC(gapTolerance, rejectionWickSize, engulfWick, barsBack)
Checks if a specific bar is a bullish engulfing candle.
Parameters:
gapTolerance (int)
rejectionWickSize (int) : (int) The maximum top wick size compared to the body as a percentage. The default is 10.
engulfWick (bool) : (bool) True if the engulfed candle's wick requires to be engulfed as well. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a bullish engulfing candle.
isBearishEC(gapTolerance, rejectionWickSize, engulfWick, barsBack)
Checks if a specific bar is a bearish engulfing candle.
Parameters:
gapTolerance (int)
rejectionWickSize (int) : (int) The maximum bottom wick size compared to the body as a percentage. The default is 10.
engulfWick (bool) : (bool) True if the engulfed candle's wick requires to be engulfed as well. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a bearish engulfing candle.
MarcosLibraryLibrary "MarcosLibrary"
A colection of frequently used functions in my scripts.
bullFibRet(priceLow, priceHigh, fibLevel)
Calculates a bullish fibonacci retracement value.
Parameters:
priceLow (float) : (float) The lowest price point.
priceHigh (float) : (float) The highest price point.
fibLevel (float) : (float) The fibonacci level to calculate.
Returns: The fibonacci value of the given retracement level.
bearFibRet(priceLow, priceHigh, fibLevel)
Calculates a bearish fibonacci retracement value.
Parameters:
priceLow (float) : (float) The lowest price point.
priceHigh (float) : (float) The highest price point.
fibLevel (float) : (float) The fibonacci level to calculate.
Returns: The fibonacci value of the given retracement level.
bullFibExt(priceLow, priceHigh, thirdPivot, fibLevel)
Calculates a bullish fibonacci extension value.
Parameters:
priceLow (float) : (float) The lowest price point.
priceHigh (float) : (float) The highest price point.
thirdPivot (float) : (float) The third price point.
fibLevel (float) : (float) The fibonacci level to calculate.
Returns: The fibonacci value of the given extension level.
bearFibExt(priceLow, priceHigh, thirdPivot, fibLevel)
Calculates a bearish fibonacci extension value.
Parameters:
priceLow (float) : (float) The lowest price point.
priceHigh (float) : (float) The highest price point.
thirdPivot (float) : (float) The third price point.
fibLevel (float) : (float) The fibonacci level to calculate.
Returns: The fibonacci value of the given extension level.
isBullish(barsBack)
Checks if a specific bar is bullish.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is bullish, otherwise returns false.
isBearish(barsBack)
Checks if a specific bar is bearish.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is bearish, otherwise returns false.
isBE(barsBack)
Checks if a specific bar is break even.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is break even, otherwise returns false.
getBodySize(barsBack, inPriceChg)
Calculates a specific candle's body size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the body size as a price change value. The default is false (in points).
Returns: The candle's body size in points.
getTopWickSize(barsBack, inPriceChg)
Calculates a specific candle's top wick size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the wick size as a price change value. The default is false (in points).
Returns: The candle's top wick size in points.
getBottomWickSize(barsBack, inPriceChg)
Calculates a specific candle's bottom wick size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the wick size as a price change value. The default is false (in points).
Returns: The candle's bottom wick size in points.
getBodyPercent(barsBack)
Calculates a specific candle's body size as a percentage of its entire size including its wicks.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: The candle's body size percentage.
isHammer(fib, bullish, barsBack)
Checks if a specific bar is a hammer candle based on a given fibonacci level.
Parameters:
fib (float) : (float) The fibonacci level to base candle's body on. The default is 0.382.
bullish (bool) : (bool) True if the candle must to be green. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a hammer candle, otherwise returns false.
isShootingStar(fib, bearish, barsBack)
Checks if a specific bar is a shooting star candle based on a given fibonacci level.
Parameters:
fib (float) : (float) The fibonacci level to base candle's body on. The default is 0.382.
bearish (bool) : (bool) True if the candle must to be red. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a shooting star candle, otherwise returns false.
isDoji(wickSize, bodySize, barsBack)
Checks if a specific bar is a doji candle based on a given wick and body size.
Parameters:
wickSize (float) : (float) The maximum top wick size compared to the bottom and vice versa. The default is 1.5.
bodySize (float) : (bool) The maximum body size as a percentage compared to the entire candle size. The default is 5.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a doji candle.
isBullishEC(gapTolerance, rejectionWickSize, engulfWick, barsBack)
Checks if a specific bar is a bullish engulfing candle.
Parameters:
gapTolerance (int)
rejectionWickSize (int) : (int) The maximum top wick size compared to the body as a percentage. The default is 10.
engulfWick (bool) : (bool) True if the engulfed candle's wick requires to be engulfed as well. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a bullish engulfing candle.
isBearishEC(gapTolerance, rejectionWickSize, engulfWick, barsBack)
Checks if a specific bar is a bearish engulfing candle.
Parameters:
gapTolerance (int)
rejectionWickSize (int) : (int) The maximum bottom wick size compared to the body as a percentage. The default is 10.
engulfWick (bool) : (bool) True if the engulfed candle's wick requires to be engulfed as well. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a bearish engulfing candle.
CandleInsightsLibrary "CandleInsights"
CandleInsights provides a set of utility functions to facilitate identifying certain types of individual candles and candle patterns.
isBullish()
Returns true if candle is bullish.
Returns: bool
isBearish()
Returns true if candle is bearish.
Returns: bool
isHammer()
Returns true if candle is a hammer. TODO: Allow params
Returns: bool
isShootingStar()
Returns true if candle is a shooting star. TODO: Allow params
Returns: bool
isBearishToppingTail()
Returns true if candle is bearish with a top wick over half the range of the candle. TODO: Allow params
Returns: bool
isHanging()
Returns true if candle is considering a hanging candle (aka hanging man). TODO: Allow params
Returns: bool
isLongBullish(pctChg)
Parameters:
pctChg (float)
isBullishEngulfing()
CCOMET_Scanner_LibraryLibrary "CCOMET_Scanner_Library"
- A Trader's Edge (ATE)_Library was created to assist in constructing CCOMET Scanners
Loc_tIDs_Col(_string, _firstLocation)
TickerIDs: You must form this single tickerID input string exactly as described in the scripts info panel (little gray 'i' that
is circled at the end of the settings in the settings/input panel that you can hover your cursor over this 'i' to read the
details of that particular input). IF the string is formed correctly then it will break up this single string parameter into
a total of 40 separate strings which will be all of the tickerIDs that the script is using in your CCOMET Scanner.
Locations: This function is used when there's a desire to print an assets ALERT LABELS. A set Location on the scale is assigned to each asset.
This is created so that if a lot of alerts are triggered, they will stay relatively visible and not overlap each other.
If you set your '_firstLocation' parameter as 1, since there are a max of 40 assets that can be scanned, the 1st asset's location
is assigned the value in the '_firstLocation' parameter, the 2nd asset's location is the (1st asset's location+1)...and so on.
Parameters:
_string (simple string) : (string)
A maximum of 40 Tickers (ALL joined as 1 string for the input parameter) that is formulated EXACTLY as described
within the tooltips of the TickerID inputs in my CCOMET Scanner scripts:
assets = input.text_area(tIDset1, title="TickerID (MUST READ TOOLTIP)", tooltip="Accepts 40 TICKERID's for each
copy of the script on the chart. TEXT FORMATTING RULES FOR TICKERID'S:
(1) To exclude the EXCHANGE NAME in the Labels, de-select the next input option.
(2) MUST have a space (' ') AFTER each TickerID.
(3) Capitalization in the Labels will match cap of these TickerID's.
(4) If your asset has a BaseCurrency & QuoteCurrency (ie. ADAUSDT ) BUT you ONLY want Labels
to show BaseCurrency(ie.'ADA'), include a FORWARD SLASH ('/') between the Base & Quote (ie.'ADA/USDT')", display=display.none)
_firstLocation (simple int) : (simple int)
Optional (starts at 1 if no parameter added).
Location that you want the first asset to print its label if is triggered to do so.
ie. loc2=loc1+1, loc3=loc2+1, etc.
Returns: Returns 40 output variables in the tuple (ie. between the ' ') with the TickerIDs, 40 variables for the locations for alert labels, and 40 Colors for labels/plots
TickeridForLabelsAndSecurity(_ticker, _includeExchange)
This function accepts the TickerID Name as its parameter and produces a single string that will be used in all of your labels.
Parameters:
_ticker (simple string) : (string)
For this parameter, input the varible named '_coin' from your 'f_main()' function for this parameter. It is the raw
Ticker ID name that will be processed.
_includeExchange (simple bool) : (bool)
Optional (if parameter not included in function it defaults to false ).
Used to determine if the Exchange name will be included in all labels/triggers/alerts.
Returns: ( )
Returns 2 output variables:
1st ('_securityTickerid') is to be used in the 'request.security()' function as this string will contain everything
TV needs to pull the correct assets data.
2nd ('lblTicker') is to be used in all of the labels in your CCOMET Scanner as it will only contain what you want your labels
to show as determined by how the tickerID is formulated in the CCOMET Scanner's input.
InvalID_LblSz(_barCnt, _close, _securityTickerid, _invalidArray, _tablePosition, _stackVertical, _lblSzRfrnce)
INVALID TICKERIDs: This is to add a table in the middle right of your chart that prints all the TickerID's that were either not formulated
correctly in the '_source' input or that is not a valid symbol and should be changed.
LABEL SIZES: This function sizes your Alert Trigger Labels according to the amount of Printed Bars the chart has printed within
a set time period, while also keeping in mind the smallest relative reference size you input in the 'lblSzRfrnceInput'
parameter of this function. A HIGHER % of Printed Bars(aka...more trades occurring for that asset on the exchange),
the LARGER the Name Label will print, potentially showing you the better opportunities on the exchange to avoid
exchange manipulation liquidations.
*** SHOULD NOT be used as size of labels that are your asset Name Labels next to each asset's Line Plot...
if your CCOMET Scanner includes these as you want these to be the same size for every asset so the larger ones dont cover the
smaller ones if the plots are all close to each other ***
Parameters:
_barCnt (float) : (float)
Get the 1st variable('barCnt') from the Security function's tuple and input it as this functions 1st input
parameter which will directly affect the size of the 2nd output variable ('alertTrigLabel') that is also outputted by this function.
_close (float) : (float)
Put your 'close' variable named '_close' from the security function here.
_securityTickerid (string) : (string)
Throughout the entire charts updates, if a '_close' value is never registered then the logic counts the asset as INVALID.
This will be the 1st TickerID variable (named _securityTickerid) outputted from the tuple of the TickeridForLabels()
function above this one.
_invalidArray (array) : (array string)
Input the array from the original script that houses all of the invalidArray strings.
_tablePosition (simple string) : (string)
Optional (if parameter not included, it defaults to position.middle_right). Location on the chart you want the table printed.
Possible strings include: position.top_center, position.top_left, position.top_right, position.middle_center,
position.middle_left, position.middle_right, position.bottom_center, position.bottom_left, position.bottom_right.
_stackVertical (simple bool) : (bool)
Optional (if parameter not included, it defaults to true). All of the assets that are counted as INVALID will be
created in a list. If you want this list to be prited as a column then input 'true' here, otherwise they will all be in a row.
_lblSzRfrnce (string) : (string)
Optional (if parameter not included, it defaults to size.small). This will be the size of the variable outputted
by this function named 'assetNameLabel' BUT also affects the size of the output variable 'alertTrigLabel' as it uses this parameter's size
as the smallest size for 'alertTrigLabel' then uses the '_barCnt' parameter to determine the next sizes up depending on the "_barCnt" value.
Returns: ( )
Returns 2 variables:
1st output variable ('AssetNameLabel') is assigned to the size of the 'lblSzRfrnceInput' parameter.
2nd output variable('alertTrigLabel') can be of variying sizes depending on the 'barCnt' parameter...BUT the smallest
size possible for the 2nd output variable ('alertTrigLabel') will be the size set in the 'lblSzRfrnceInput' parameter.
PrintedBarCount(_time, _barCntLength, _barCntPercentMin)
The Printed BarCount Filter looks back a User Defined amount of minutes and calculates the % of bars that have printed
out of the TOTAL amount of bars that COULD HAVE been printed within the same amount of time.
Parameters:
_time (int) : (int)
The time associated with the chart of the particular asset that is being screened at that point.
_barCntLength (int) : (int)
The amount of time (IN MINUTES) that you want the logic to look back at to calculate the % of bars that have actually
printed in the span of time you input into this parameter.
_barCntPercentMin (int) : (int)
The minimum % of Printed Bars of the asset being screened has to be GREATER than the value set in this parameter
for the output variable 'bc_gtg' to be true.
Returns: ( )
Returns 2 outputs:
1st is the % of Printed Bars that have printed within the within the span of time you input in the '_barCntLength' parameter.
2nd is true/false according to if the Printed BarCount % is above the threshold that you input into the '_barCntPercentMin' parameter.
AGbayLIBLibrary "AGbayLIB"
Changes the timeframe period to the given period and returns the data matrix and sets the timeframe to the active time period
getTimeFrameValues(active_period_, period_, max_bars_)
: add function description here
Parameters:
active_period_ (string) : Current time frame period to be set after getting period_ data
period_ (string) : Target time period for returning data
max_bars_ (int) : The historical bar count to be get
Returns: An array of data_row type with size of max_bars_ which includes rows of data:
data_row
Fields:
year (series__integer)
month (series__integer)
day (series__integer)
hour (series__integer)
minute (series__integer)
second (series__integer)
fulltime (series__string)
open (series__float)
close (series__float)
high (series__float)
low (series__float)
volume (series__float)
ta_mLibrary "ta_m"
This library is a Pine Script™ programmer’s tool containing calcs for my oscillators and some helper functions.
upDnIntrabarVolumesByPolarity()
Determines if the volume for an intrabar is up or down.
Returns: ( ) A tuple of two values, one of which contains the bar's volume. `upVol` is the positive volume of up bars. `dnVol` is the negative volume of down bars.
Note that when this function is designed to be called with `request.security_lower_tf()`,
which will return a tuple of "array" arrays containing up and dn volume for all the intrabars in a chart bar.
upDnIntrabarVolumesByPrice()
Determines if the intrabar volume is up or down
Returns: ( ) A tuple of two values, one of which contains the bar's volume. `upVol` is the positive volume of up bars. `dnVol` is the negative volume of down bars.
Note that when this function is designed to be called with `request.security_lower_tf()`,
which will return a tuple of "array" arrays containing up and dn volume for all the intrabars in a chart bar.
merge_pinbar_modifiedLibrary "merge_pinbar"
Published by @dandrideng
Modified by @RpNm1337
merge_pinbar: merge bars and check whether the bar is a pinbar
merge_pinbar(period, max_bars)
merge_pinbar: merge bars and check whether the bar is a pinbar
Parameters:
period (simple int)
max_bars (simple int)
Returns: array:
CandlestickPatternsLibrary "CandlestickPatterns"
This library provides a wide range of candlestick patterns, and available for user to call each pattern individually. It's a comprehensive and common tool designed for traders seeking to raise their technical analysis, and it may help users identify key turning of price action in financial instruments. Credit to public technical “*All Candlestick Patterns*” indicator.
abandonedBaby(order, d1)
The "Abandoned Baby" candlestick pattern is a bullish/bearish pattern consists of three candles.
Parameters:
order (simple string) : (simple string) Pattern order type "bull" or "bear".
d1 (simple float) : (simple float) Previous candle's body percentage out of candle range. Optional argument, default is 5.
darkCloudCover(c1, n)
The "Dark Cloud Cover" is a bearish pattern consists of two candles.
Parameters:
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
doji(d0)
The "Doji" is neither bullish or bearish consists of one candles.
Parameters:
d0 (simple float) : (simple float) Current candle's body percentage out of candle range. Optional argument, default is 5.
dojiStar(order, c1, n, d0)
The "Doji Star" is a bullish/bearish pattern consists of two candles.
Parameters:
order (simple string) : (simple string) Pattern order type "bull" or "bear" .
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
d0 (simple float) : (simple float) Current candle's body percentage out of candle range. Optional argument, default is 5.
downsideTasukiGap(c2, c1, n)
The "Downside Tasuki Gap" is a bearish pattern consists of three candles.
Parameters:
c2 (simple bool) : (simple bool) Before previous candle's body must be higher than average. Optional argument, default is true.
c1 (simple bool) : (simple bool) Previous candle's body must be lower than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
dragonflyDoji(d0)
The "Dragon Fly Doji" is a bullish pattern consists of one candle.
Parameters:
d0 (simple float) : (simple float) Current candle's body percentage out of candle range. Optional argument, default is 5.
engulfing(order, c1, c0, n)
The "Engulfing" is a bullish/bearish pattern consists of two candles.
Parameters:
order (simple string) : (simple string) Pattern order type "bull" or "bear".
c1 (simple bool) : (simple bool) Previous candle's body must be lower than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
eveningDojiStar(c2, c0, d1, n)
The "Evening Doji Star" is a bearish pattern consists of three candles.
Parameters:
c2 (simple bool) : (simple bool) Before previous candle's body must be higher than average, default is true.
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
d1 (simple float) : (simple float) Previous candle's body percentage out of candle range. Optional argument, default is 5.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
eveningStar(c2, c1, c0, n)
The "Evening Star" is a bearish pattern consists of three candles.
Parameters:
c2 (simple bool) : (simple bool) Before previous candle's body must be higher than average. Optional argument, default is true.
c1 (simple bool) : (simple bool) Previous candle's body must be lower than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
fallingThreeMethods(c4, c3, c2, c1, c0, n)
The "Falling Three Methods" is a bearish pattern consists of five candles.
Parameters:
c4 (simple bool) : (simple bool) 5th candle ago body must be higher than average. Optional argument, default is true.
c3 (simple bool) : (simple bool) 4th candle ago body must be lower than average. Optional argument, default is true.
c2 (simple bool) : (simple bool) 3rd candle ago body must be lower than average. Optional argument, default is true.
c1 (simple bool) : (simple bool) 2nd candle ago body must be lower than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
Returns: (bool)
fallingWindow()
The "Falling Window" is a bearish pattern consists of two candles.
gravestoneDoji(d0)
The "Gravestone Doji" is a bearish pattern consists of one candle.
Parameters:
d0 (simple float) : (simple float) Current candle's body percentage out of candle range. Optional argument, default is 5.
hammer(c0, n)
The "Hammer" is a bullish pattern consists of one candle.
Parameters:
c0 (simple bool) : (simple bool) Current candle's body must be lower than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
hangingMan(c0, n)
The "Hanging Man" is a bearish pattern consists of one candle.
Parameters:
c0 (simple bool) : (simple bool) Current candle's body must be lower than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
haramiCross(order, c1, n)
The "Harami Cross" candlestick pattern is a bullish/bearish pattern consists of two candles.
Parameters:
order (string) : (simple string) Pattern order type "bull" or "bear".
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
harami(order, c1, c0, n)
The "Harami" candlestick pattern is a bullish/bearish pattern consists of two candles.
Parameters:
order (string) : (simple string) Pattern order type "bull" or "bear"
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Current candle's body must be lower than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
invertedHammer(c0, n)
The "Inverted Hammer" is a bullish pattern consists of one candle.
Parameters:
c0 (simple bool) : (simple bool) Current candle's body must be lower than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
kicking(order, c1, c0, n)
The "Kicking" candlestick pattern is a bullish/bearish pattern consists of two candles.
Parameters:
order (string) : (simple string) Pattern order type "bull" or "bear"
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
longLowerShadow(l0)
The "Long Lower Shadow" candlestick pattern is a bullish pattern consists of one candles.
Parameters:
l0 (simple float) : (simple float) Current candle's lower wick min percentage out of candle range. Optional argument, default is 75.
longUpperShadow(u0)
The "Long Upper Shadow" candlestick pattern is a bearish pattern consists of one candles.
Parameters:
u0 (simple float) : (simple float) Current candle's upper wick min percentage out of candle range. Optional argument, default is 75.
marubozuBlack(c0, n)
The "Marubozu Black" candlestick pattern is a bearish pattern consists of one candles.
Parameters:
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
marubozuWhite(c0, n)
The "Marubozu White" candlestick pattern is a bullish pattern consists of one candles.
Parameters:
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
morningDojiStar(c2, d1, c0, n)
The "Morning Doji Star" candlestick pattern is a bullish pattern consists of three candles.
Parameters:
c2 (simple bool) : (simple bool) Before previous candle's body must be higher than average. Optional argument, default is true.
d1 (simple float) : (simple float) Previous candle's body percentage out of candle range. Optional argument, default is 5.
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
morningStar(c2, c1, c0, n)
The "Morning Star" candlestick pattern is a bullish pattern consists of three candles.
Parameters:
c2 (simple bool) : (simple bool) Before previous candle's body must be higher than average. Optional argument, default is true.
c1 (simple bool) : (simple bool) Previous candle's body must be lower than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Cuurent candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
onNeck(c1, c0, n)
The "On Neck" candlestick pattern is a bearish pattern consists of two candles.
Parameters:
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Cuurent candle's body must be lower than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
piercing(c1, n)
The "Piercing" candlestick pattern is a bullish pattern consists of two candles.
Parameters:
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
risingThreeMethods(c4, c3, c2, c1, c0, n)
The "Rising Three Methods" candlestick pattern is a bullish pattern consists of five candles.
Parameters:
c4 (simple bool) : (simple bool) 5th candle ago body must be higher than average. Optional argument, default is true.
c3 (simple bool) : (simple bool) 4th candle ago body must be Lower than average. Optional argument, default is true.
c2 (simple bool) : (simple bool) 3rd candle ago body must be Lower than average. Optional argument, default is true.
c1 (simple bool) : (simple bool) 2nd candle ago body must be Lower than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
risingWindow()
The "Rising Window" candlestick pattern is a bullish pattern consists of two candle.
shootingStar(c0, n)
The "Shooting Star" candlestick pattern is a bearish pattern consists of one candle.
Parameters:
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
spinningTopBlack(l0, u0)
The "Spinning Top Black" is neither bullish or bearish.
Parameters:
l0 (simple float) : (simple float) Current candle's lower wick min percentage out of candle range. Optional argument, default is 34.
u0 (simple float) : (simple float) Current candle's upper wick min percentage out of candle range. Optional argument, default is 34.
spinningTopWhite(l0, u0)
The "Spinning Top White" is neither bullish or bearish.
Parameters:
l0 (simple float) : (simple float) Current candle's lower wick min percentage out of candle range. Optional argument, default is 34.
u0 (simple float) : (simple float) Current candle's upper wick min percentage out of candle range. Optional argument, default is 34.
threeBlackCrows(c2, c1, c0, n)
The "Three Black Crows" candlestick pattern is a bearish pattern consists of three candles.
Parameters:
c2 (simple bool) : (simple bool) Before previous candle's body must be higher than average. Optional argument, default is true.
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Cuurent candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
threeWhiteSoldiers(c2, c1, c0, n)
The "Three White Soldiers" candlestick pattern is a bullish pattern consists of three candles.
Parameters:
c2 (simple bool) : (simple bool) Before previous candle's body must be higher than average. Optional argument, default is true.
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Cuurent candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
triStar(order, d2, d1, d0)
The "Tri Star" candlestick pattern is a bullish/bearish pattern consists of three candles.
Parameters:
order (simple string) : (simple string) Pattern order type "bull" or "bear".
d2 (simple float) : (simple float) Before previous candle's body percentage out of candle range. Optional argument, default is 5.
d1 (simple float) : (simple float) Previous candle's body percentage out of candle range. Optional argument, default is 5.
d0 (simple float) : (simple float) Current candle's body percentage out of candle range. Optional argument, default is 5.
tweezerBottom(c1, n)
The "Tweezer Bottom" candlestick pattern is a bullish pattern consists of two candles.
Parameters:
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
tweezerTop(c1, n)
The "Tweezer Top" candlestick pattern is a bearish pattern consists of two candles.
Parameters:
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
upsideTasukiGap(c2, c1, n)
The "Tri Star" candlestick pattern is a bullish pattern consists of three candles.
Parameters:
c2 (simple bool) : (simple bool) Before Previous candle's body must be higher than average. Optional argument, default is true.
c1 (simple bool) : (simple bool) Previous candle's body must be lower than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
JapaneseCandlestickPatternsLibrary "JapaneseCandlestickPatterns"
Japanese Candlestick Patterns is a library of functions that enables the detection of popular Japanese candlestick patterns such as Doji, Hammer, and Engulfing, among others. The library provides a simple yet powerful way to analyze financial markets and make informed trading decisions. Japanese Candlestick Patterns library can help you identify potential trading opportunities.
isDojiCandle()
isGravestoneDojiCandle()
isDragonflyDojiCandle()
isEveningDojiStarCandle(isUpTrend)
Parameters:
isUpTrend (bool)
isLongLeggedDojiCandle()
isMorningDojiStarCandle(isDownTrend)
Parameters:
isDownTrend (bool)
isBullishCounterattackLinesCandle(isDownTrend)
Parameters:
isDownTrend (bool)
isBearishCounterattackLinesCandle(isUpTrend)
Parameters:
isUpTrend (bool)
isDarkCloudCoverCandle(isUpTrend)
Parameters:
isUpTrend (bool)
isBullishEngulfingCandle()
isBearishEngulfingCandle()
isHammerCandle(isDownTrend)
Parameters:
isDownTrend (bool)
isHangingManCandle(isUpTrend)
Parameters:
isUpTrend (bool)
isHaramiBearishCandle(isUpTrend)
Parameters:
isUpTrend (bool)
isHaramiBullishCandle(isDownTrend)
Parameters:
isDownTrend (bool)
isInNeckCandle(isDownTrend)
Parameters:
isDownTrend (bool)
isOnNeckCandle(isDownTrend)
Parameters:
isDownTrend (bool)
isPiercingCandle(isDownTrend)
Parameters:
isDownTrend (bool)
threeBlackCrowsCandle(isUpTrend)
Parameters:
isUpTrend (bool)
isThrustingNeckCandle(isDownTrend)
Parameters:
isDownTrend (bool)
isUpsideGapTwoCrowsCandle(isUpTrend)
Parameters:
isUpTrend (bool)
isAbandonedBabyTopCandle(isUpTrend)
Parameters:
isUpTrend (bool)
isAbandonedBabyBottomCandle(isDownTrend)
Parameters:
isDownTrend (bool)
isEveningStarCandle(isUpTrend)
Parameters:
isUpTrend (bool)
isInvertedHammerCandle(isDownTrend)
Parameters:
isDownTrend (bool)
isMorningStarCandle(isDownTrend)
Parameters:
isDownTrend (bool)
isShootingStarCandle(isUpTrend)
Parameters:
isUpTrend (bool)
isRisingThreeMethodsCandle(isUpTrend)
Parameters:
isUpTrend (bool)
isFallingThreeMethodsCandle(isDownTrend)
Parameters:
isDownTrend (bool)
isUpsideTasukiGapCandle(isUpTrend)
Parameters:
isUpTrend (bool)
isDownsideGapTasukiCandle(isDownTrend)
Parameters:
isDownTrend (bool)
isLongLowerShadowCandle()
isLongUpperShadowCandle()
CandlesGroup_TypesLibrary "CandlesGroup_Types"
CandlesGroup Type allows you to efficiently store and access properties of all the candles in your chart.
You can easily manipulate large datasets, work with multiple timeframes, or analyze multiple symbols simultaneously. By encapsulating the properties of each candle within a CandlesGroup object, you gain a convenient and organized way to handle complex candlestick patterns and data.
For usage instructions and detailed examples, please refer to the comments and examples provided in the source code.
method init(_self)
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup)
method init(_self, propertyNames)
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup)
propertyNames (string )
method get(_self, key)
get values array from a given property name
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
key (string) : : key name of selected property. Default is "index"
Returns: values array
method size(_self)
get size of values array. By default it equals to current bar_index
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
Returns: size of values array
method push(_self, key, value)
push single value to specific property
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
key (string) : : key name of selected property
value (float) : : property value
Returns: CandlesGroup object
method push(_self, arr)
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup)
arr (float )
method populate(_self, ohlc)
populate ohlc to CandlesGroup
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
ohlc (float ) : : array of ohlc
Returns: CandlesGroup object
method populate(_self, values, propertiesNames)
populate values base on given properties Names
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
values (float ) : : array of property values
propertiesNames (string ) : : an array stores property names. Use as keys to get values
Returns: CandlesGroup object
method populate(_self)
populate values (default setup)
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
Returns: CandlesGroup object
method lookback(arr, bars_lookback)
get property value on previous candles. For current candle, use *.lookback()
Namespace types: float
Parameters:
arr (float ) : : array of selected property values
bars_lookback (int) : : number of candles lookback. 0 = current candle. Default is 0
Returns: single property value
method highest_within_bars(_self, hiSource, start, end, useIndex)
get the highest property value between specific candles
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
hiSource (string) : : key name of selected property
start (int) : : start bar for calculation. Default is candles lookback value from current candle. 'index' value is used if 'useIndex' = true
end (int) : : end bar for calculation. Default is candles lookback value from current candle. 'index' value is used if 'useIndex' = true. Default is 0
useIndex (bool) : : use index instead of lookback value. Default = false
Returns: the highest value within candles
method highest_within_bars(_self, returnWithIndex, hiSource, start, end, useIndex)
get the highest property value and bar index between specific candles
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
returnWithIndex (bool) : : the function only applicable when it is true
hiSource (string) : : key name of selected property
start (int) : : start bar for calculation. Default is candles lookback value from current candle. 'index' value is used if 'useIndex' = true
end (int) : : end bar for calculation. Default is candles lookback value from current candle. 'index' value is used if 'useIndex' = true. Default is 0
useIndex (bool) : : use index instead of lookback value. Default = false
Returns:
method highest_point_within_bars(_self, hiSource, start, end, useIndex)
get a Point object which contains highest property value between specific candles
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
hiSource (string) : : key name of selected property
start (int) : : start bar for calculation. Default is candles lookback value from current candle. 'index' value is used if 'useIndex' = true
end (int) : : end bar for calculation. Default is candles lookback value from current candle. 'index' value is used if 'useIndex' = true. Default is 0
useIndex (bool) : : use index instead of lookback value. Default = false
Returns: Point object contains highest property value
method lowest_within_bars(_self, loSource, start, end, useIndex)
get the lowest property value between specific candles
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
loSource (string) : : key name of selected property
start (int) : : start bar for calculation. Default is candles lookback value from current candle. 'index' value is used if 'useIndex' = true
end (int) : : end bar for calculation. Default is candles lookback value from current candle. 'index' value is used if 'useIndex' = true. Default is 0
useIndex (bool) : : use index instead of lookback value. Default = false
Returns: the lowest value within candles
method lowest_within_bars(_self, returnWithIndex, loSource, start, end, useIndex)
get the lowest property value and bar index between specific candles
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
returnWithIndex (bool) : : the function only applicable when it is true
loSource (string) : : key name of selected property
start (int) : : start bar for calculation. Default is candles lookback value from current candle. 'index' value is used if 'useIndex' = true
end (int) : : end bar for calculation. Default is candles lookback value from current candle. 'index' value is used if 'useIndex' = true. Default is 0
useIndex (bool) : : use index instead of lookback value. Default = false
Returns:
method lowest_point_within_bars(_self, loSource, start, end, useIndex)
get a Point object which contains lowest property value between specific candles
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
loSource (string) : : key name of selected property
start (int) : : start bar for calculation. Default is candles lookback value from current candle. 'index' value is used if 'useIndex' = true
end (int) : : end bar for calculation. Default is candles lookback value from current candle. 'index' value is used if 'useIndex' = true. Default is 0
useIndex (bool) : : use index instead of lookback value. Default = false
Returns: Point object contains lowest property value
method time2bar(_self, t)
Convert UNIX time to bar index of active chart
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
t (int) : : UNIX time
Returns: bar index
method time2bar(_self, timezone, YYYY, MMM, DD, hh, mm, ss)
Convert timestamp to bar index of active chart. User defined timezone required
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
timezone (string) : : User defined timezone
YYYY (int) : : Year
MMM (int) : : Month
DD (int) : : Day
hh (int) : : Hour. Default is 0
mm (int) : : Minute. Default is 0
ss (int) : : Second. Default is 0
Returns: bar index
method time2bar(_self, YYYY, MMM, DD, hh, mm, ss)
Convert timestamp to bar index of active chart
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
YYYY (int) : : Year
MMM (int) : : Month
DD (int) : : Day
hh (int) : : Hour. Default is 0
mm (int) : : Minute. Default is 0
ss (int) : : Second. Default is 0
Returns: bar index
method get_prop_from_time(_self, key, t)
get single property value from UNIX time
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
key (string) : : key name of selected property
t (int) : : UNIX time
Returns: single property value
method get_prop_from_time(_self, key, timezone, YYYY, MMM, DD, hh, mm, ss)
get single property value from timestamp. User defined timezone required
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
key (string) : : key name of selected property
timezone (string) : : User defined timezone
YYYY (int) : : Year
MMM (int) : : Month
DD (int) : : Day
hh (int) : : Hour. Default is 0
mm (int) : : Minute. Default is 0
ss (int) : : Second. Default is 0
Returns: single property value
method get_prop_from_time(_self, key, YYYY, MMM, DD, hh, mm, ss)
get single property value from timestamp
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
key (string) : : key name of selected property
YYYY (int) : : Year
MMM (int) : : Month
DD (int) : : Day
hh (int) : : Hour. Default is 0
mm (int) : : Minute. Default is 0
ss (int) : : Second. Default is 0
Returns: single property value
method bar2time(_self, index)
Convert bar index of active chart to UNIX time
Namespace types: CandlesGroup
Parameters:
_self (CandlesGroup) : : CandlesGroup object
index (int) : : bar index
Returns: UNIX time
Point
A point on chart
Fields:
price (series float) : : price value
bar (series int) : : bar index
bartime (series int) : : time in UNIX format of bar
Property
Property object which contains values of all candles
Fields:
name (series string) : : name of property
values (float ) : : an array stores values of all candles. Size of array = bar_index
CandlesGroup
Candles Group object which contains properties of all candles
Fields:
propertyNames (string ) : : an array stores property names. Use as keys to get values
properties (Property ) : : array of Property objects
MyCandleLibraryLibrary "MyCandleLibrary"
TODO: Candle Pattern Library
IsEngulfingCandle(n, trendRule)
TODO: Identify Bullish Engulfing Candle
Parameters:
n (int) : TODO: Candle Number
trendRule (string)
Returns: TODO: If Identify Bullish Engulfing candle return True otherwise False
Spider_PlotIntroduction:
Spider charts, also known as radar charts or web charts, are a powerful data visualization tool that can display multiple variables in a circular format. They are particularly useful when you want to compare different data sets or evaluate the performance of a single data set across multiple dimensions. In this blog post, we will dive into the world of spider charts, explore their benefits, and demonstrate how you can create your own spider chart using the Spider_Plot library.
Why Spider Charts are Cool:
Spider charts have a unique visual appeal that sets them apart from other chart types. They allow you to display complex data in a compact, easy-to-understand format, making them perfect for situations where you need to convey a lot of information in a limited space. Some of the key benefits of spider charts include:
Multi-dimensional analysis: Spider charts can display multiple variables at once, making them ideal for analyzing relationships between different data sets or examining a single data set across multiple dimensions.
Easy comparison: By displaying data in a circular format, spider charts make it simple to compare different data points, identify trends, and spot potential issues.
Versatility: Spider charts can be used for a wide range of applications, from business and finance to sports and health. They are particularly useful for situations where you need to analyze performance or make comparisons between different entities.
Creating Your Own Spider Chart with the Spider_Plot Library:
The Spider_Plot library is a user-friendly, easy-to-use tool that allows you to create stunning spider charts with minimal effort. To get started, you'll need to import the Spider_Plot library:
import peacefulLizard50262/Spider_Plot/1
With the library imported, you can now create your own spider chart. The first step is to normalize your data. Normalizing ensures that all data points fall within the 0 to 1 range, which is important for creating a visually balanced spider chart.
The Spider_Plot library provides the data_normalize function to help you normalize your data. This function accepts several parameters, including the normalization style ("All Time", "Range", or "Custom"), length of the range, outlier level, lookback period for standard deviation, and minimum and maximum values for the "Custom" normalization style.
Once you have normalized your data, you can create an array of your data points using the array.from function. This array will be used as input for the draw_spider_plot function, which is responsible for drawing the spider plot on your chart.
The draw_spider_plot function accepts an array of float values (the normalized data points), an array of background colors for each sector, a color for the axes, and a scaling factor.
Example Usage:
Here's an example script that demonstrates how to create a spider chart using the Spider_Plot library:
oc = data_normalize(ta.ema(math.abs(open - close), 20), "Range", 20)
// Create an array of your data points
data = array.from(tr, rsi, stoch, dev, tr, oc, tr)
// Define colors for each sector
colors = array.from(color.new(color.red, 90), color.new(color.blue, 90), color.new(color.green, 90), color.new(color.orange, 90), color.new(color.purple, 90), color.new(color.purple, 90), color.new(color.purple, 90))
// Draw the spider plot on your chart
draw_spider_plot(data, colors, color.gray, 100)
In this example, we have first normalized six different data points (rsi, source, stoch, dev, tr, and oc) using the data_normalize function. Next, we create an array of these normalized data points and define an array of colors for each sector of the spider chart. Finally, we call the draw_spider_plot function to draw the spider chart on our chart.
Conclusion:
Spider charts are a versatile and visually appealing tool for analyzing and comparing multi-dimensional data. With the Spider_Plot library, you can easily create your own spider charts and unlock valuable insights from your data. Just remember to normalize your data and create an array of data points before calling the draw_spider_plot function. Happy charting!
Library "Spider_Plot"
data_normalize(data, style, length, outlier_level, dev_lookback, min, max)
data_normalize(data, string style, int length, float outlier_level, simple int dev_lookback, float min, float max)
Parameters:
data (float) : float , A float value to normalize.
style (string) : string , The normalization style: "All Time", "Range", or "Custom".
length (int) : int , The length of the range for "Range" normalization style.
outlier_level (float) : float , The outlier level to exclude from calculations.
dev_lookback (simple int) : int , The lookback period for calculating the standard deviation.
min (float) : float , The minimum value for the "Custom" normalization style.
max (float) : float , The maximum value for the "Custom" normalization style.
Returns: array , The normalized float value.
draw_spider_plot(values, bg_colors, axes_color, scale)
draw_spider_plot(array values, array bg_colors, color axes_color, float scale)
Parameters:
values (float ) : array , An array of float values to plot in the spider plot.
bg_colors (color ) : array , An array of background colors for each sector in the spider plot.
axes_color (color) : color , The color of the axes in the spider plot. Default: color.gray
scale (float) : float , A scaling factor for the spider plot. Default: 10
Returns: void , Draws the spider plot on the chart.
time_filtersLibrary "time_filters"
Collection of filters that related with time like sessions and datetime ranges.
All existing session functions I found in the documentation e.g. not na(time(timeframe.period, sessionTimes))
are not suitable for strategies, since the execution of the entries and the exits are delayed by one bar.
Thus I created this library to overcome this small but very important limitation.
is_in_date_range(fromDate, toDate, srcTimezone, dstTimezone, t)
is_in_date_range - Check if the given time is between the start and end dates
Parameters:
fromDate : - The start date in UNIX time of the valid range
toDate : - The end date in UNIX time of the valid range
srcTimezone : - The timezone of reference for the 'from' and 'to' dates
dstTimezone : - The target timezone to convert the 'from' and 'to' dates
t : - The time to compare in UNIX format
Returns: series of bool whether or not the time is inside the valid range
is_in_session(startTime, endTime, days, srcTimezone, dstTimezone, t)
is_in_session - Check if the given time is inside the session as defined by the input params
Parameters:
startTime : - The sessionTime object with the use flag and the start time
endTime : - The sessionTime object with the use flag and the end time
days : - The sessionDays object with the use flag and marks for each day of the session
srcTimezone : - The timezone of reference for the time ranges
dstTimezone : - The target timezone to convert the time ranges
t : - The current time to compare in UNIX format.
Returns: series of bool whether or not the time is inside the session
sessionTime
Fields:
hourInDay
minuteInHour
sessionDays
Fields:
mon
tue
wed
thu
fri
sat
sun
AntaresLibrary "Antares"
this library contains some utility functions that I use in my open source scripts including moving average helpers, candlstick helpers, money management, formatters, convertors, webhook integration, analysis, filters and drawing helpers
ma(type, length, source)
Wraps all ma functions
Parameters:
type : Either SMA or EMA or RMA or WMA or VWMA
length : Number of bars (length).
source : Series of values to process.
Returns: Moving average of `source` for `length` bars back by the of MA.
bb(ma, length, mult, source)
Overwrites `ta.bb` duo to limitations of simple int.float mult. Bollinger Bands. A Bollinger Band is a technical analysis tool defined by a set of lines plotted two standard deviations (positively and negatively) away from a simple moving average (SMA) of the security's price, but can be adjusted to user preferences.
Parameters:
ma : Either SMA or EMA or RMA or WMA or VWMA
length : Number of bars (length).
mult : Standard deviation factor.
source : Series of values to process.
Returns: Bollinger Bands.
atr(length, h, l, c)
Overwrites `ta.atr` duo to limitations of simple int length. Function atr (average true range) returns the RMA of true range. True range is max(high - low, abs(high - close ), abs(low - close )).
Parameters:
length : Number of bars (length).
h : High price high price.
l : low price.
c : Close price close price.
Returns: Average true range.
rsi(length, source)
Overwrites `ta.rsi` duo to limitations of simple int length. Relative strength index. It is calculated using the `ta.rma()` of upward and downward changes of `source` over the last `length` bars.
Parameters:
length : Number of bars (length).
source : Series of values to process.
Returns: Relative strength index.
lowest(length, source, start)
Lowest value for a given number of bars back.
Parameters:
length : Number of bars (length).
source : Series of values to process.
start : Series number of bars that should be skipped before process.
Returns: Lowest value in the series.
highest(length, source, start)
Highest value for a given number of bars back.
Parameters:
length : Number of bars (length).
source : Series of values to process.
start : Series number of bars that should be skipped before process.
Returns: Highest value in the series.
atr_multiplier(rsi, atr_max_multiplier)
Dynamic atr multiplier calculated by RSI.
Parameters:
rsi : Relative strength index.
atr_max_multiplier : The maximum multiplier of atr
Returns: Dynamic multiplier of ATR
offset(atr, atr_multiplier)
Safe dynamic offset you need to use in your stoploss, stop buy/sell, etc.
Parameters:
atr : Average true range.
atr_multiplier : ATR multiplier got from `atr_multiplier(rsi, atr_max_multiplier)`
Returns: Dynamic offset
rsi_emotional(rsi, bottom, top)
Tells you if RSI is in emotional zone.
Parameters:
rsi : Relative Strength Index
bottom : The zone that below it market reacts emotionally
top : The zone that above it market reacts emotionally
Returns: false if RSI was between `bottom` and `top` otherwise true
rsi_signal(rsi, bottom, top)
Tells you if RSI is in good point to check your other strategy conditions.
Parameters:
rsi : Relative Strength Index
bottom : The zone that below it market reacts emotionally
top : The zone that above it market reacts emotionally
Returns: 1 if RSI crossed out 30, 50 or 70. -1 if RSI crossed under 70, 50, 30. otherwise is 0
HeikinashiLibrary "Heikinashi"
This library calculates "Heikinashi".
calc(_o, _h, _l, _c, _my_close)
This function calculates "Heikinashi".
Parameters:
_o : open
_h : high
_l : low
_c : close
_my_close : Specify if you want to force only the closing price to a real value.
Returns: TODO: add what function returns
loxxexpandedsourcetypesLibrary "loxxexpandedsourcetypes"
Expanded source types used in Loxx's indicators and strategies.
rclose()
rClose: regular close
Returns: float
ropen()
rClose: regular open
Returns: float
rhigh()
rClose: regular high
Returns: float
rlow()
rClose: regular low
Returns: float
rmedian()
rClose: regular hl2
Returns: float
rtypical()
rClose: regular hlc3
Returns: float
rweighted()
rClose: regular hlcc4
Returns: float
raverage()
rClose: regular ohlc4
Returns: float
ravemedbody()
rClose: median body
Returns: float
rtrendb()
rClose: trend regular
Returns: float
rtrendbext()
rClose: trend extreme
Returns: float
haclose(haclose)
haclose: heiken-ashi close
Parameters:
haclose : float
Returns: float
haopen(haopen)
haopen: heiken-ashi open
Parameters:
haopen : float
Returns: float
hahigh(hahigh)
hahigh: heiken-ashi high
Parameters:
hahigh : float
Returns: float
halow(halow)
halow: heiken-ashi low
Parameters:
halow : float
Returns: float
hamedian(hamedian)
hamedian: heiken-ashi median
Parameters:
hamedian : float
Returns: float
hatypical(hatypical)
hatypical: heiken-ashi typical
Parameters:
hatypical : float
Returns: float
haweighted(haweighted)
haweighted: heiken-ashi weighted
Parameters:
haweighted : float
Returns: float
haaverage(haweighted)
haaverage: heiken-ashi average
Parameters:
haweighted : float
Returns: float
haavemedbody(haclose, haopen)
haavemedbody: heiken-ashi median body
Parameters:
haclose : float
haopen : float
Returns: float
hatrendb(haclose, haopen, hahigh, halow)
hatrendb: heiken-ashi trend
Parameters:
haclose : float
haopen : float
hahigh : float
halow : float
Returns: float
hatrendbext(haclose, haopen, hahigh, halow)
hatrendext: heiken-ashi trend extreme
Parameters:
haclose : float
haopen : float
hahigh : float
halow : float
Returns: float
habclose(smthtype, amafl, amasl, kfl, ksl)
habclose: heiken-ashi better open
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habopen(smthtype, amafl, amasl, kfl, ksl)
habopen: heiken-ashi better open
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habhigh(smthtype, amafl, amasl, kfl, ksl)
habhigh: heiken-ashi better high
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
hablow(smthtype, amafl, amasl, kfl, ksl)
hablow: heiken-ashi better low
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habmedian(smthtype, amafl, amasl, kfl, ksl)
habmedian: heiken-ashi better median
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habtypical(smthtype, amafl, amasl, kfl, ksl)
habtypical: heiken-ashi better typical
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habweighted(smthtype, amafl, amasl, kfl, ksl)
habweighted: heiken-ashi better weighted
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habaverage(smthtype, amafl, amasl, kfl, ksl)
habaverage: heiken-ashi better average
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habavemedbody(smthtype, amafl, amasl, kfl, ksl)
habavemedbody: heiken-ashi better median body
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habtrendb(smthtype, amafl, amasl, kfl, ksl)
habtrendb: heiken-ashi better trend
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habtrendbext(smthtype, amafl, amasl, kfl, ksl)
habtrendbext: heiken-ashi better trend extreme
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
Heikin Ashi CandlesLibrary "heikin_ashi_candles"
This library is programmed to calculate the Heikin Ashi candles using the standard formula of Heikin Ashi Candles.
Notice the Heikin Ashi chart type isn't 100% like the results from this calculation.
You can import this library in your code to use it as a smoothing method for your strategy which operates on the standard chart type.
_close()
_open()
_high()
_low()
_ohlc4()
_hlcc4()
_hlc3()
_hl2()
WpProbabilisticLibLibrary "WpProbabilisticLib"
Library that contains functions to calculate probabilistic based on historical candle analysis
CandleType(open, close) This function check what type of candle is, based on its close and open prices
Parameters:
open : series float (open price)
close : series float (close price)
Returns: This function return the candle type (1 for Bullish, -1 Bearish, 0 as Doji candle)
CandleTypePercentDiff(open, close, qtd_candles_before, consider_dojis) This function calculates the percentage difference between Bullish and Bearish in a candlestick range back in time and which is the type with the least occurrences
Parameters:
open : series float (open price series)
close : series float (close price series)
qtd_candles_before : simple int (Number of candles before to calculate)
consider_dojis : simple string (How to consider dojis (no consider "NO", as bearish "AS_RED", as bullish "AS_GREEN"))
Returns: tuple(float, int) (Returns the percentage difference between Bullish and Bearish candles and which type of candle has the least occurrences)
