FibRatiosLibrary "FibRatios"
Library with calculation logic for fib retracement, extension and ratios
retracement(a, b, ratio, logScale, precision)
Calculates the retracement for points a, b with given ratio and scale
Parameters:
a (float) : Starting point a
b (float) : Second point b
ratio (float) : Ratio for which we need to calculate retracement c
logScale (bool) : Flag to get calculations in log scale. Default is false
precision (int) : rounding precision. If set to netagive number, round_to_mintick is applied. Default is -1
Returns: retracement point c for points a,b with given ratio and scale
retracementRatio(a, b, c, logScale, precision)
Calculates the retracement ratio for points a, b, c with given scale
Parameters:
a (float) : Starting point a
b (float) : Second point b
c (float) : Retracement point. c should be placed between a and b
logScale (bool) : Flag to get calculations in log scale. Default is false
precision (int) : rounding precision. If set to netagive number, round_to_mintick is applied. Default is 3
Returns: retracement ratio for points a,b,c on given scale
extension(a, b, c, ratio, logScale, precision)
Calculates the extensions for points a, b, c with given ratio and scale
Parameters:
a (float) : Starting point a
b (float) : Second point b
c (float) : Retracement point. c should be placed between a and b
ratio (float) : Ratio for which we need to calculate extension d
logScale (bool) : Flag to get calculations in log scale. Default is false
precision (int) : rounding precision. If set to netagive number, round_to_mintick is applied. Default is -1
Returns: extensoin point d for points a,b,c with given ratio and scale
extensionRatio(a, b, c, d, logScale, precision)
Calculates the extension ratio for points a, b, c, d with given scale
Parameters:
a (float) : Starting point a
b (float) : Second point b
c (float) : Retracement point. c should be placed between a and b
d (float) : Extension point. d should be placed beyond a, c. But, can be with b,c or beyond b
logScale (bool) : Flag to get calculations in log scale. Default is false
precision (int) : rounding precision. If set to netagive number, round_to_mintick is applied. Default is 3
Returns: extension ratio for points a,b,c,d on given scale
Indicatori e strategie
alertsLibrary "alerts"
The library provides options to run alert() calls in loop without worrying about limitations of frequency options.
When an alert statement is called within a loop,
it will fire just once per bar irrespective of how many iterations allowed when fequency is set to alert.freq_once_per_bar or alert.freq_once_per_bar_close
it will fire continuously till it breaks when frequency is set to alert.freq_all
The function helps overcome this issue by using varip key array which resets on every bar
method alert(message, key)
Enhanced alert which can be used in loops
Namespace types: series string, simple string, input string, const string
Parameters:
message (string) : Alert message to be fired
key (string) : Key to be checked to avoid repetitive alerts
Returns: array containing id of already fired alerts
method updateAlertTemplate(this, template)
Updates alert template with given keys and values
Namespace types: map
Parameters:
this (map) : map containing key value pair
template (string) : Alert message template
Returns: updated alert message
utilsLibrary "utils"
Few essentials captured together (subset of arrayutils)
timer(timeStart, timeEnd)
finds difference between two timestamps
Parameters:
timeStart (int) : start timestamp
timeEnd (int)
Returns:
method check_overflow(pivots, barArray, dir)
finds difference between two timestamps
Namespace types: array
Parameters:
pivots (array) : pivots array
barArray (array) : pivot bar array
dir (int) : direction for which overflow need to be checked
Returns: bool overflow
method get_trend_series(pivots, length, highLow, trend)
finds series of pivots in particular trend
Namespace types: array
Parameters:
pivots (array) : pivots array
length (int) : length for which trend series need to be checked
highLow (int) : filter pivot high or low
trend (int) : Uptrend or Downtrend
Returns: int trendIndexes
method get_trend_series(pivots, firstIndex, lastIndex)
finds series of pivots in particular trend
Namespace types: array
Parameters:
pivots (array) : pivots array
firstIndex (int) : First index of the series
lastIndex (int) : Last index of the series
Returns: int trendIndexes
getConsolidatedLabel(include, labels, separator)
Consolidates labels into single string by concatenating it with given separator
Parameters:
include (array) : array of conditions to include label or not
labels (array) : string array of labels
separator (string) : Separator for concatenating labels
Returns: string labelText
method getColors(theme)
gets array of colors based on theme
Namespace types: series Theme
Parameters:
theme (series Theme) : dark or light theme
Returns: color themeColors
MarketStructureLibrary "MarketStructure"
Will draw out the market structure for the disired pivot length. The code is from my indicator "Marker structure" ().
Create(type, length, source, equalPivotsFactor, extendEqualPivotsZones, equalPivotsStyle, equalPivotsColor, alertFrequency)
Call on each bar. Will create a Structure object.
Parameters:
type (int) : the type of the Structure to create. 0 = internal, 1 = swing.
length (int) : The lenghts (left and right) for pivots to use.
source (string) : The source to be used for structural changes ('Close', 'High/low (aggresive)' (low in an uptrend) or 'High/low (passive)' (high in an uptrend)).
equalPivotsFactor (float) : Set how the limits are for an equal pivot. This is a factor of the Average True Length (ATR) of length 14. If a low pivot is considered to be equal if it doesn't break the low pivot (is at a lower value) and is inside the previous low pivot + this limit.
extendEqualPivotsZones (bool) : Set to true if you want the equal pivots zones to be extended.
equalPivotsStyle (string) : Set the style of equal pivot zones.
equalPivotsColor (color) : Set the color of equal pivot zones.
alertFrequency (string)
Returns: The 'structure' object.
Pivot(structure)
Sets the pivots in the structure.
Parameters:
structure (Structure)
Returns: The 'structure' object.
PivotLabels(structure)
Draws labels for the pivots found.
Parameters:
structure (Structure)
Returns: The 'structure' object.
EqualHighOrLow(structure)
Draws the boxsa for equal highs/lows. Also creates labels for the pivots included.
Parameters:
structure (Structure)
Returns: The 'structure' object.
BreakOfStructure(structure)
Will create lines when a break of strycture occures.
Parameters:
structure (Structure)
Returns: The 'structure' object.
ChangeOfCharacter(structure)
Will create lines when a change of character occures.
Parameters:
structure (Structure)
Returns: The 'structure' object.
StructureBreak
Holds drawings for a structure break.
Fields:
Line (series line) : The line object.
Label (series label) : The label object.
Pivot
Holds all the values for a found pivot.
Fields:
Price (series float) : The price of the pivot.
BarIndex (series int) : The bar_index where the pivot occured.
Type (series int) : The type of the pivot (-1 = low, 1 = high).
ChangeOfCharacterBroken (series bool) : Sets to true if a change of character has happened.
BreakOfStructureBroken (series bool) : Sets to true if a break of structure has happened.
Structure
Holds all the values for the market structure.
Fields:
Length (series int) : Define the left and right lengths of the pivots used.
Type (series int) : Set the type of the market structure. Two types can be used, 'internal' and 'swing' (0 = internal, 1 = swing).
Trend (series int) : This will be set internally and can be -1 = downtrend, 1 = uptrend.
Source (series string) : Set the source for structural chandeg. Can be 'Close', 'High/low (aggresive)' (low in an uptrend) or 'High/low (passive)' (high in an uptrend).
EqualPivotsFactor (series float) : Set how the limits are for an equal pivot. This is a factor of the Average True Length (ATR) of length 14. If a low pivot is considered to be equal if it doesn't break the low pivot (is at a lower value) and is inside the previous low pivot + this limit.
ExtendEqualPivotsZones (series bool) : Set to true if you want the equal pivots zones to be extended.
ExtendEqualPivotsStyle (series string) : Set the style of equal pivot zones.
ExtendEqualPivotsColor (series color) : Set the color of equal pivot zones.
EqualHighs (array) : Holds the boxes for zones that contains equal highs.
EqualLows (array) : Holds the boxes for zones that contains equal lows.
BreakOfStructures (array) : Holds all the break of structures within the trend (before a change of character).
Pivots (array) : All the pivots in the current trend, added with the latest first, this is cleared when the trend changes.
AlertFrequency (series string) : set the frequency for alerts.
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)
QuantifyPS - 1Library "QuantifyPS"
normdist(z)
Parameters:
z (float) : (float): The z-score for which the CDF is to be calculated.
Returns: (float): The cumulative probability corresponding to the input z-score.
Notes:
- Uses an approximation method for the normal distribution CDF, which is computationally efficient.
- The result is accurate for most practical purposes but may have minor deviations for extreme values of `z`.
Formula:
- Based on the approximation formula:
`Φ(z) ≈ 1 - f(z) * P(t)` if `z > 0`, otherwise `Φ(z) ≈ f(z) * P(t)`,
where:
`f(z) = 0.3989423 * exp(-z^2 / 2)` (PDF of standard normal distribution)
`P(t) = Σ [c * t^i]` with constants `c` and `t = 1 / (1 + 0.2316419 * |z|)`.
Implementation details:
- The approximation uses five coefficients for the polynomial part of the CDF.
- Handles both positive and negative values of `z` symmetrically.
Constants:
- The coefficients and scaling factors are chosen to minimize approximation errors.
gamma(x)
Parameters:
x (float) : (float): The input value for which the Gamma function is to be calculated.
Must be greater than 0. For x <= 0, the function returns `na` as it is undefined.
Returns: (float): Approximation of the Gamma function for the input `x`.
Notes:
- The Lanczos approximation provides a numerically stable and efficient method to compute the Gamma function.
- The function is not defined for `x <= 0` and will return `na` in such cases.
- Uses precomputed Lanczos coefficients for accuracy.
- Includes handling for small numerical inaccuracies.
Formula:
- The Gamma function is approximated as:
`Γ(x) ≈ sqrt(2π) * t^(x + 0.5) * e^(-t) * Σ(p / (x + k))`
where `t = x + g + 0.5` and `p` is the array of Lanczos coefficients.
Implementation details:
- Lanczos coefficients (`p`) are precomputed and stored in an array.
- The summation iterates over these coefficients to compute the final result.
- The constant `g` controls the precision of the approximation (commonly `g = 7`).
t_cdf(t, df)
Parameters:
t (float) : (float): The t-statistic for which the CDF value is to be calculated.
df (int) : (int): Degrees of freedom of the t-distribution.
Returns: (float): Approximate CDF value for the given t-statistic.
Notes:
- This function computes a one-tailed p-value.
- Relies on an approximation formula using gamma functions and standard t-distribution properties.
- May not be as accurate as specialized statistical libraries for extreme values or very high degrees of freedom.
Formula:
- Let `x = df / (t^2 + df)`.
- The approximation formula is derived using:
`CDF(t, df) ≈ 1 - * x^((df + 1) / 2) / 2`,
where Γ represents the gamma function.
Implementation details:
- Computes the gamma ratio for normalization.
- Applies the t-distribution formula for one-tailed probabilities.
tStatForPValue(p, df)
Parameters:
p (float) : (float): P-value for which the t-statistic needs to be calculated.
Must be in the interval (0, 1).
df (int) : (int): Degrees of freedom of the t-distribution.
Returns: (float): The t-statistic corresponding to the given p-value.
Notes:
- If `p` is outside the interval (0, 1), the function returns `na` as an error.
- The function uses binary search with a fixed number of iterations and a defined tolerance.
- The result is accurate to within the specified tolerance (default: 0.0001).
- Relies on the cumulative density function (CDF) `t_cdf` for the t-distribution.
Formula:
- Uses the cumulative density function (CDF) of the t-distribution to iteratively find the t-statistic.
Implementation details:
- `low` and `high` define the search interval for the t-statistic.
- The midpoint (`mid`) is iteratively refined until the difference between the cumulative probability
and the target p-value is smaller than the tolerance.
jarqueBera(n, s, k)
Parameters:
n (float) : (series float): Number of observations in the dataset.
s (float) : (series float): Skewness of the dataset.
k (float) : (series float): Kurtosis of the dataset.
Returns: (float): The Jarque-Bera test statistic.
Formula:
JB = n *
Notes:
- A higher JB value suggests that the data deviates more from a normal distribution.
- The test is asymptotically distributed as a chi-squared distribution with 2 degrees of freedom.
- Use this value to calculate a p-value to determine the significance of the result.
skewness(data)
Parameters:
data (float) : (series float): Input data series.
Returns: (float): The skewness value.
Notes:
- Handles missing values (`na`) by ignoring invalid points.
- Includes error handling for zero variance to avoid division-by-zero scenarios.
- Skewness is calculated as the normalized third central moment of the data.
kurtosis(data)
Parameters:
data (float) : (series float): Input data series.
Returns: (float): The kurtosis value.
Notes:
- Handles missing values (`na`) by ignoring invalid points.
- Includes error handling for zero variance to avoid division-by-zero scenarios.
- Kurtosis is calculated as the normalized fourth central moment of the data.
regression(y, x, lag)
Parameters:
y (float) : (series float): Dependent series (observed values).
x (float) : (series float): Independent series (explanatory variable).
lag (int) : (int): Number of lags applied to the independent series (x).
Returns: (tuple): Returns a tuple containing the following values:
- n: Number of valid observations.
- alpha: Intercept of the regression line.
- beta: Slope of the regression line.
- t_stat: T-statistic for the beta coefficient.
- p_value: Two-tailed p-value for the beta coefficient.
- r_squared: Coefficient of determination (R²) indicating goodness of fit.
- skew: Skewness of the residuals.
- kurt: Kurtosis of the residuals.
Notes:
- Handles missing data (`na`) by ignoring invalid points.
- Includes basic error handling for zero variance and division-by-zero scenarios.
- Computes residual-based statistics (skewness and kurtosis) for model diagnostics.
OrderBlocksLibrary "OrderBlocks"
This is a library I created that creates order blocks. It's originated from my indicator "Order blocks" (). It will return a Zone object that can be used to draw an order block. If you want to see how that is done you can check out my indicar that uses the same logic.
Create(settings)
Creates an order block if one is found according to the settings parameter.
Parameters:
settings (Settings) : set all values in this parameter to define the settings for the order block creation.
Returns: a Zone object if an order block is found, na otherwise
Zone
Fields:
Time (series int)
TimeClose (series int)
High (series float)
Low (series float)
ReactionLimit (series float)
TouchedZone (Zone type from mickes/Touched/14)
Type (series int)
Zones
Fields:
Index (series int)
Maximum (series int)
Zones (array)
Remove (Zone)
Settings
Fields:
TakeOut (series bool)
ReactionFactor (series float)
Type (series string)
ConsecutiveRisingOrFalling (series bool)
FairValueGap (series bool)
OutofOptionsHelperLibraryLibrary "OutofOptionsHelperLibrary"
Helper library for my indicators/strategies
isUp(i)
is Up candle
Parameters:
i (int)
Returns: bool
isDown(i)
is Down candle
Parameters:
i (int)
Returns: bool
TF(t)
format time into date/time string
Parameters:
t (int)
Returns: string
S(s)
format data to string
Parameters:
s (float)
Returns: string
S(s)
format data to string
Parameters:
s (int)
Returns: string
S(s)
format data to string
Parameters:
s (bool)
Returns: string
barClose(price, up, strict)
Determine if candle closed above/below price
Parameters:
price (float)
up (bool)
strict (bool) : bool if close over is required or if close at the price is good enough
Returns: bool
processSweep(L, price, up, leftB)
Determine how many liquidity sweeps were made
Parameters:
L (array)
price (float)
up (bool)
leftB (int)
Returns: int
liquidity
Fields:
price (series float)
time (series int)
oprice (series float)
otime (series int)
sweeps (series int)
bars_swept (series int)
MonthlyReturnsTableLibrary "MonthlyReturnsTable"
showMonthlyReturns(show)
显示月度和年度收益率表格
Parameters:
show (bool) : (bool) 是否显示表格
Returns: 返回一个数组，包含是否显示表格的状态和当前月度收益率
GaussianDistributionLibrary "GaussianDistribution"
This library defines a custom type `distr` representing a Gaussian (or other statistical) distribution.
It provides methods to calculate key statistical moments and scores, including mean, median, mode, standard deviation, variance, skewness, kurtosis, and Z-scores.
This library is useful for analyzing probability distributions in financial data.
Disclaimer:
I am not a mathematician, but I have implemented this library to the best of my understanding and capacity. Please be indulgent as I tried to translate statistical concepts into code as accurately as possible. Feedback, suggestions, and corrections are welcome to improve the reliability and robustness of this library.
mean(source, length)
Calculate the mean (average) of the distribution
Parameters:
source (float) : Distribution source (typically a price or indicator series)
length (int) : Window length for the distribution (must be >= 30 for meaningful statistics)
Returns: Mean (μ)
stdev(source, length)
Calculate the standard deviation (σ) of the distribution
Parameters:
source (float) : Distribution source (typically a price or indicator series)
length (int) : Window length for the distribution (must be >= 30 for meaningful statistics)
Returns: Standard deviation (σ)
skewness(source, length, mean, stdev)
Calculate the skewness (γ₁) of the distribution
Parameters:
source (float) : Distribution source (typically a price or indicator series)
length (int) : Window length for the distribution (must be >= 30 for meaningful statistics)
mean (float) : the mean (average) of the distribution
stdev (float) : the standard deviation (σ) of the distribution
@return Skewness (γ₁)
skewness(source, length)
Overloaded skewness to calculate from source and length
Parameters:
source (float) : Distribution source (typically a price or indicator series)
length (int) : Window length for the distribution (must be >= 30 for meaningful statistics)
@return Skewness (γ₁)
mode(mean, stdev, skewness)
Estimate mode - Most frequent value in the distribution (approximation based on skewness)
Parameters:
mean (float) : the mean (average) of the distribution
stdev (float) : the standard deviation (σ) of the distribution
skewness (float) : the skewness (γ₁) of the distribution
@return Mode
mode(source, length)
Overloaded mode to calculate from source and length
Parameters:
source (float) : Distribution source (typically a price or indicator series)
length (int) : Window length for the distribution (must be >= 30 for meaningful statistics)
@return Mode
median(mean, stdev, skewness)
Estimate median - Middle value of the distribution (approximation)
Parameters:
mean (float) : the mean (average) of the distribution
stdev (float) : the standard deviation (σ) of the distribution
skewness (float) : the skewness (γ₁) of the distribution
@return Median
median(source, length)
Overloaded median to calculate from source and length
Parameters:
source (float) : Distribution source (typically a price or indicator series)
length (int) : Window length for the distribution (must be >= 30 for meaningful statistics)
@return Median
variance(stdev)
Calculate variance (σ²) - Square of the standard deviation
Parameters:
stdev (float) : the standard deviation (σ) of the distribution
@return Variance (σ²)
variance(source, length)
Overloaded variance to calculate from source and length
Parameters:
source (float) : Distribution source (typically a price or indicator series)
length (int) : Window length for the distribution (must be >= 30 for meaningful statistics)
@return Variance (σ²)
kurtosis(source, length, mean, stdev)
Calculate kurtosis (γ₂) - Degree of "tailedness" in the distribution
Parameters:
source (float) : Distribution source (typically a price or indicator series)
length (int) : Window length for the distribution (must be >= 30 for meaningful statistics)
mean (float) : the mean (average) of the distribution
stdev (float) : the standard deviation (σ) of the distribution
@return Kurtosis (γ₂)
kurtosis(source, length)
Overloaded kurtosis to calculate from source and length
Parameters:
source (float) : Distribution source (typically a price or indicator series)
length (int) : Window length for the distribution (must be >= 30 for meaningful statistics)
@return Kurtosis (γ₂)
normal_score(source, mean, stdev)
Calculate Z-score (standard score) assuming a normal distribution
Parameters:
source (float) : Distribution source (typically a price or indicator series)
mean (float) : the mean (average) of the distribution
stdev (float) : the standard deviation (σ) of the distribution
@return Z-Score
normal_score(source, length)
Overloaded normal_score to calculate from source and length
Parameters:
source (float) : Distribution source (typically a price or indicator series)
length (int) : Window length for the distribution (must be >= 30 for meaningful statistics)
@return Z-Score
non_normal_score(source, mean, stdev, skewness, kurtosis)
Calculate adjusted Z-score considering skewness and kurtosis
Parameters:
source (float) : Distribution source (typically a price or indicator series)
mean (float) : the mean (average) of the distribution
stdev (float) : the standard deviation (σ) of the distribution
skewness (float) : the skewness (γ₁) of the distribution
kurtosis (float) : the "tailedness" in the distribution
@return Z-Score
non_normal_score(source, length)
Overloaded non_normal_score to calculate from source and length
Parameters:
source (float) : Distribution source (typically a price or indicator series)
length (int) : Window length for the distribution (must be >= 30 for meaningful statistics)
@return Z-Score
method init(this)
Initialize all statistical fields of the `distr` type
Namespace types: distr
Parameters:
this (distr)
method init(this, source, length)
Overloaded initializer to set source and length
Namespace types: distr
Parameters:
this (distr)
source (float)
length (int)
distr
Custom type to represent a Gaussian distribution
Fields:
source (series float) : Distribution source (typically a price or indicator series)
length (series int) : Window length for the distribution (must be >= 30 for meaningful statistics)
mode (series float) : Most frequent value in the distribution
median (series float) : Middle value separating the greater and lesser halves of the distribution
mean (series float) : μ (1st central moment) - Average of the distribution
stdev (series float) : σ or standard deviation (square root of the variance) - Measure of dispersion
variance (series float) : σ² (2nd central moment) - Squared standard deviation
skewness (series float) : γ₁ (3rd central moment) - Asymmetry of the distribution
kurtosis (series float) : γ₂ (4th central moment) - Degree of "tailedness" relative to a normal distribution
normal_score (series float) : Z-score assuming normal distribution
non_normal_score (series float) : Adjusted Z-score considering skewness and kurtosis
MathHelpersLibrary "MathHelpers"
Overview
A collection of helper functions for designing indicators and strategies.
calculateATR(length, log)
Calculates the Average True Range (ATR) or Log ATR based on the 'log' parameter. Sans Wilder's Smoothing
Parameters:
length (simple int)
log (simple bool)
Returns: float The calculated ATR value. Returns Log ATR if `log` is true, otherwise returns standard ATR.
CDF(z)
Computes the Cumulative Distribution Function (CDF) for a given value 'z', mimicking the CDF function in "Statistically Sound Indicators" by Timothy Masters.
Parameters:
z (simple float)
Returns: float The CDF value corresponding to the input `z`, ranging between 0 and 1.
logReturns(lookback)
Calculates the logarithmic returns over a specified lookback period.
Parameters:
lookback (simple int)
Returns: float The calculated logarithmic return. Returns `na` if insufficient data is available.
ToolsMapLibrary "ToolsMap"
Helper functions for map type operations
map_def(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (string) : Key to be checked
default (bool) : Default return value when key not found. Default: false
Returns: bool
map_def(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (string) : Key to be checked
default (int) : Default return value when key not found. Default: -1
Returns: int
map_def(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (string) : Key to be checked
default (float) : Default return value when key not found. Default: -1
Returns: float
map_def(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (string) : Key to be checked
default (string) : Default return value when key not found. Default: ''
Returns: string
map_def(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (string) : Key to be checked
default (color) : Default return value when key not found. Default: color.white
Returns: color
map_def(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (int) : Key to be checked
default (bool) : Default return value when key not found. Default: false
Returns: bool
map_def(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (int) : Key to be checked
default (int) : Default return value when key not found. Default: -1
Returns: int
map_def(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (int) : Key to be checked
default (float) : Default return value when key not found. Default: -1
Returns: float
map_def(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (int) : Key to be checked
default (string) : Default return value when key not found. Default: ''
Returns: string
map_def(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (int) : Key to be checked
default (color) : Default return value when key not found. Default: color.white
Returns: color
RHR_CANDLELibrary "RHR_CANDLE"
Library for Expansion Contraction Indicator, a zero-lag dual perspective indicator based on Jake Bernstein’s principles of Moving Average Channel system.
calc(shortLookback, longLookback)
Calculates Expansion Contraction values.
Parameters:
shortLookback (int) : Integer for the short lookback calculation, defaults to 8
longLookback (int) : Integer for the long lookback calculation, defaults to 32
@return Returns array of Expansion Contraction values
stdevCalc(positiveShort, negativeShort, positiveLong, negativeLong, stdevLookback)
Calculates standard deviation lines based on Expansion Contraction Long and Short values.
Parameters:
positiveShort (float) : Float for the positive short XC value from calculation
negativeShort (float) : Float for the negative short XC value from calculation
positiveLong (float) : Float for the positive long XC value from calculation
negativeLong (float) : Float for the negative long XC value from calculation
stdevLookback (int) : Integer for the standard deviation lookback, defaults to 500
@return Returns array of standard deviation values
trend(positiveShort, negativeShort, positiveLong, negativeLong)
Determines if trend is strong or weak based on Expansion Contraction values.
Parameters:
positiveShort (float) : Float for the positive short XC value from calculation
negativeShort (float) : Float for the negative short XC value from calculation
positiveLong (float) : Float for the positive long XC value from calculation
negativeLong (float) : Float for the negative long XC value from calculation
@return Returns array of boolean values indicating strength or weakness of trend
lib_momentumLibrary "lib_momentum"
This library calculates the momentum, derived from a sample range of prior candles. Depending on set MomentumType it either deduces the momentum from the price, volume, or a product of both. If price/product are selected, you can choose from SampleType if only candle body, full range from high to low or a combination of both (body counts full, wicks half for each direction) should be used. Optional: You can choose to normalize the results, dividing each value by its average (normalization_ma_length, normalization_ma). This will allow comparison between different instruments. For the normalization Moving Average you can choose any currently supported in my lib_no_delay.
get_momentum(momentum_type, sample_type, sample_length, normalization_ma_length, normalization_ma)
Parameters:
momentum_type (series MomentumType) : select one of MomentumType. to sample the price, volume or a product of both
sample_type (series SampleType) : select one of SampleType. to sample the body, total range from high to low or a combination of both (body count full, wicks half for each direction)
sample_length (simple int) : how many candles should be sampled (including the current)
normalization_ma_length (simple int) : if you want to normalize results (momentum / momentum average) this sets the period for the average. (default = 0 => no normalization)
normalization_ma (simple MovingAverage enum from robbatt/lib_no_delay/9) : is the type of moving average to normalize / compare with
Returns: returns the current momentum where the total line is not just (up - down) but also sampled over the sample_length and can therefore be used as trend indicator. If up/down fail to reach total's level it's a sign of decreasing momentum, if up/down exceed total the trend it's a sign of increasing momentum.
ToolsLibrary "Tools"
Common tools
movingAverage(maType, maSource, maLength)
dynamically returns MA
Parameters:
maType (string) : ma type
maSource (float) : ma source
maLength (simple int) : ma length
Returns: ta.{sma,rma,ema,wma,vwma,hma}
yptestrsilibLibrary "RSIBackgroundLib"
RSI 배경색 라이브러리
rsi_background(_symbol, _timeframe)
RSI 계산 및 배경색 반환
Parameters:
_symbol (simple string) : string 심볼
_timeframe (simple string) : string 타임프레임
Returns: RSI, RSI MA, RSI MA10, 배경색
RawCuts_01Library "RawCuts_01"
A collection of functions by:
mutantdog
The majority of these are used within published projects, some useful variants have been included here aswell.
This is volume one consisting mainly of smaller functions, predominantly the filters and standard deviations from Weight Gain 4000.
Also included at the bottom are various snippets of related code for demonstration. These can be copied and adjusted according to your needs.
A full up-to-date table of contents is located at the top of the main script.
WEIGHT GAIN FILTERS
A collection of moving average type filters with adjustable volume weighting.
Based upon the two most common methods of volume weighting.
'Simple' uses the standard method in which a basic VWMA is analogous to SMA.
'Elastic' uses exponential method found in EVWMA which is analogous to RMA.
Volume weighting is applied according to an exponent multiplier of input volume.
0 >> volume^0 (unweighted), 1 >> volume^1 (fully weighted), use float values for intermediate weighting.
Additional volume filter switch for smoothing of outlier events.
DIVA MODULAR DEVIATIONS
A small collection of standard and absolute deviations.
Includes the weightgain functionality as above.
Basic modular functionality for more creative uses.
Optional input (ct) for external central tendency (aka: estimator).
Can be assigned to alternative filter or any float value. Will default to internal filter when no ct input is received.
Some other useful or related functions included at the bottom along with basic demonstration use.
weightgain_sma(src, len, xVol, fVol)
Simple Moving Average (SMA): Weight Gain (Simple Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
Returns: Standard Simple Moving Average with Simple Weight Gain applied.
weightgain_hsma(src, len, xVol, fVol)
Harmonic Simple Moving Average (hSMA): Weight Gain (Simple Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
Returns: Harmonic Simple Moving Average with Simple Weight Gain applied.
weightgain_gsma(src, len, xVol, fVol)
Geometric Simple Moving Average (gSMA): Weight Gain (Simple Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
Returns: Geometric Simple Moving Average with Simple Weight Gain applied.
weightgain_wma(src, len, xVol, fVol)
Linear Weighted Moving Average (WMA): Weight Gain (Simple Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
Returns: Basic Linear Weighted Moving Average with Simple Weight Gain applied.
weightgain_hma(src, len, xVol, fVol)
Hull Moving Average (HMA): Weight Gain (Simple Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
Returns: Basic Hull Moving Average with Simple Weight Gain applied.
diva_sd_sma(src, len, xVol, fVol, ct)
Standard Deviation (SD SMA): Diva / Weight Gain (Simple Volume)
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
ct (float) : Central tendency (optional, na = bypass). Internal: weightgain_sma().
Returns:
diva_sd_wma(src, len, xVol, fVol, ct)
Standard Deviation (SD WMA): Diva / Weight Gain (Simple Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
ct (float) : Central tendency (optional, na = bypass). Internal: weightgain_wma().
Returns:
diva_aad_sma(src, len, xVol, fVol, ct)
Average Absolute Deviation (AAD SMA): Diva / Weight Gain (Simple Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
ct (float) : Central tendency (optional, na = bypass). Internal: weightgain_sma().
Returns:
diva_aad_wma(src, len, xVol, fVol, ct)
Average Absolute Deviation (AAD WMA): Diva / Weight Gain (Simple Volume) .
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
ct (float) : Central tendency (optional, na = bypass). Internal: weightgain_wma().
Returns:
weightgain_ema(src, len, xVol, fVol)
Exponential Moving Average (EMA): Weight Gain (Elastic Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
Returns: Exponential Moving Average with Elastic Weight Gain applied.
weightgain_dema(src, len, xVol, fVol)
Double Exponential Moving Average (DEMA): Weight Gain (Elastic Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
Returns: Double Exponential Moving Average with Elastic Weight Gain applied.
weightgain_tema(src, len, xVol, fVol)
Triple Exponential Moving Average (TEMA): Weight Gain (Elastic Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
Returns: Triple Exponential Moving Average with Elastic Weight Gain applied.
weightgain_rma(src, len, xVol, fVol)
Rolling Moving Average (RMA): Weight Gain (Elastic Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
Returns: Rolling Moving Average with Elastic Weight Gain applied.
weightgain_drma(src, len, xVol, fVol)
Double Rolling Moving Average (DRMA): Weight Gain (Elastic Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
Returns: Double Rolling Moving Average with Elastic Weight Gain applied.
weightgain_trma(src, len, xVol, fVol)
Triple Rolling Moving Average (TRMA): Weight Gain (Elastic Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
Returns: Triple Rolling Moving Average with Elastic Weight Gain applied.
diva_sd_ema(src, len, xVol, fVol, ct)
Standard Deviation (SD EMA): Diva / Weight Gain: (Elastic Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
ct (float) : Central tendency (optional, na = bypass). Internal: weightgain_ema().
Returns:
diva_sd_rma(src, len, xVol, fVol, ct)
Standard Deviation (SD RMA): Diva / Weight Gain: (Elastic Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
ct (float) : Central tendency (optional, na = bypass). Internal: weightgain_rma().
Returns:
weightgain_vidya_rma(src, len, xVol, fVol)
VIDYA v1 RMA base (VIDYA-RMA): Weight Gain (Elastic Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
Returns: VIDYA v1, RMA base with Elastic Weight Gain applied.
weightgain_vidya_ema(src, len, xVol, fVol)
VIDYA v1 EMA base (VIDYA-EMA): Weight Gain (Elastic Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
Returns: VIDYA v1, EMA base with Elastic Weight Gain applied.
diva_sd_vidya_rma(src, len, xVol, fVol, ct)
Standard Deviation (SD VIDYA-RMA): Diva / Weight Gain: (Elastic Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
ct (float) : Central tendency (optional, na = bypass). Internal: weightgain_vidya_rma().
Returns:
diva_sd_vidya_ema(src, len, xVol, fVol, ct)
Standard Deviation (SD VIDYA-EMA): Diva / Weight Gain: (Elastic Volume).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
xVol (float) : Volume exponent multiplier (0 = unweighted, 1 = fully weighted).
fVol (bool) : Volume smoothing filter.
ct (float) : Central tendency (optional, na = bypass). Internal: weightgain_vidya_ema().
Returns:
weightgain_sema(src, len, xVol, fVol)
Parameters:
src (float)
len (simple int)
xVol (float)
fVol (bool)
diva_sd_sema(src, len, xVol, fVol)
Parameters:
src (float)
len (simple int)
xVol (float)
fVol (bool)
diva_mad_mm(src, len, ct)
Median Absolute Deviation (MAD MM): Diva (no volume weighting).
Parameters:
src (float) : Source input.
len (int) : Length (number of bars).
ct (float) : Central tendency (optional, na = bypass). Internal: ta.median()
Returns:
source_switch(slct, aux1, aux2, aux3, aux4)
Custom Source Selector/Switch function. Features standard & custom 'weighted' sources with additional aux inputs.
Parameters:
slct (string) : Choose from custom set of string values.
aux1 (float) : Additional input for user-defined source, eg: standard input.source(). Optional, use na to bypass.
aux2 (float) : Additional input for user-defined source, eg: standard input.source(). Optional, use na to bypass.
aux3 (float) : Additional input for user-defined source, eg: standard input.source(). Optional, use na to bypass.
aux4 (float) : Additional input for user-defined source, eg: standard input.source(). Optional, use na to bypass.
Returns: Float value, to be used as src input for other functions.
colour_gradient_ma_div(ma1, ma2, div, bull, bear, mid, mult)
Colour Gradient for plot fill between two moving averages etc, with seperate bull/bear and divergence strength.
Parameters:
ma1 (float) : Input for fast moving average (eg: bullish when above ma2).
ma2 (float) : Input for slow moving average (eg: bullish when below ma1).
div (float) : Input deviation/divergence value used to calculate strength of colour.
bull (color) : Colour when ma1 above ma2.
bear (color) : Colour when ma1 below ma2.
mid (color) : Neutral colour when ma1 = ma2.
mult (int) : Opacity multiplier. 100 = maximum, 0 = transparent.
Returns: Colour with transparency (according to specified inputs)
CandlestickPatternsLibrary "CandlestickPatterns"
zigzag(_low, _high, depth, deviation, backstep)
Parameters:
_low (float)
_high (float)
depth (int)
deviation (int)
backstep (int)
getTrend(trendType, currentClose, zz_downtrend, zz_uptrend, ema14, ema28)
Parameters:
trendType (string)
currentClose (float)
zz_downtrend (bool)
zz_uptrend (bool)
ema14 (float)
ema28 (float)
isInside(currentHigh, currentLow, currentClose, currentOpen, prevHigh, prevLow)
Parameters:
currentHigh (float)
currentLow (float)
currentClose (float)
currentOpen (float)
prevHigh (float)
prevLow (float)
checkMorningStar(open0, high0, low0, close0, open1, high1, low1, close1, open2, high2, low2, close2, innerCandleThreshold, closingMinThreshold, closingMaxThreshold, useDojiFilter, dojiSize, downTrend)
Parameters:
open0 (float)
high0 (float)
low0 (float)
close0 (float)
open1 (float)
high1 (float)
low1 (float)
close1 (float)
open2 (float)
high2 (float)
low2 (float)
close2 (float)
innerCandleThreshold (float)
closingMinThreshold (float)
closingMaxThreshold (float)
useDojiFilter (bool)
dojiSize (float)
downTrend (bool)
checkEveningStar(open0, high0, low0, close0, open1, high1, low1, close1, open2, high2, low2, close2, innerCandleThreshold, closingMinThreshold, closingMaxThreshold, useDojiFilter, dojiSize, upTrend)
Parameters:
open0 (float)
high0 (float)
low0 (float)
close0 (float)
open1 (float)
high1 (float)
low1 (float)
close1 (float)
open2 (float)
high2 (float)
low2 (float)
close2 (float)
innerCandleThreshold (float)
closingMinThreshold (float)
closingMaxThreshold (float)
useDojiFilter (bool)
dojiSize (float)
upTrend (bool)
checkHammerPattern(open, high, low, close, bodyAvg, shadowFactor, downTrend)
Parameters:
open (float)
high (float)
low (float)
close (float)
bodyAvg (float)
shadowFactor (float)
downTrend (bool)
checkInvertedHammerPattern(open, high, low, close, bodyAvg, shadowFactor, downTrend)
Parameters:
open (float)
high (float)
low (float)
close (float)
bodyAvg (float)
shadowFactor (float)
downTrend (bool)
checkHangingManPattern(open, high, low, close, bodyAvg, shadowFactor, upTrend)
Parameters:
open (float)
high (float)
low (float)
close (float)
bodyAvg (float)
shadowFactor (float)
upTrend (bool)
checkShootingStarPattern(open, high, low, close, bodyAvg, shadowFactor, upTrend)
Parameters:
open (float)
high (float)
low (float)
close (float)
bodyAvg (float)
shadowFactor (float)
upTrend (bool)
checkLevels(high0, high1, high2, low0, low1, low2, lookbackPeriod)
Parameters:
high0 (float)
high1 (float)
high2 (float)
low0 (float)
low1 (float)
low2 (float)
lookbackPeriod (int)
CustomAlertLibLibrary "CustomAlertLib"
Custom alert formatting library
customAlert(format, message, freq)
Formats and triggers custom alerts with placeholders
Parameters:
format (string) : String containing the alert format template
message (string) : String containing the alert message
freq (simple string) : (optional) Alert frequency as string, defaults to "once_per_bar_close"
Returns: void
DRKMetricsLibrary "DRKMetrics"
TODO: add library description here
curve(disp_ind)
Call function to get a certain curve of your strategy.
Parameters:
disp_ind (string)
Returns: Returns type of curve plot.
cleaner(disp_ind, plot)
Call function to filter out your Strategy plots
Parameters:
disp_ind (string)
plot (float)
cobraTable(option, position)
Assign this function to a random variable to get the "Performance Table"
Parameters:
option (simple string)
position (simple string)
PineConnectorLibrary "PineConnector"
This library is a comprehensive alert webhook text generator for PineConnector. It contains every possible alert syntax variation from the documentation, along with some debugging functions.
To use it, just import the library (eg. "import ZenAndTheArtOfTrading/PineConnector/1 as pc") and use pc.buy(licenseID) to send an alert off to PineConnector - assuming all your webhooks etc are set up correctly.
View the PineConnector documentation for more information on how to send the commands you're looking to send (all of this library's function names match the documentation).
all()
Usage: pc.buy(pc_id, freq=pc.all())
Returns: "all"
once_per_bar()
Usage: pc.buy(pc_id, freq=pc.once_per_bar())
Returns: "once_per_bar"
once_per_bar_close()
Usage: pc.buy(pc_id, freq=pc.once_per_bar_close())
Returns: "once_per_bar_close"
na0(value)
Checks if given value is either 'na' or 0. Useful for streamlining scripts with float user setting inputs which default values to 0 since na is unavailable as a user input default.
Parameters:
value (float) : The value to check
Returns: True if the given value is 0 or na
getDecimals()
Calculates how many decimals are on the quote price of the current market.
Returns: The current decimal places on the market quote price
truncate(number, decimals)
Truncates the given number. Required params: mumber.
Parameters:
number (float) : Number to truncate
decimals (int) : Decimal places to cut down to
Returns: The input number, but as a string truncated to X decimals
getPipSize(multiplier)
Calculates the pip size of the current market.
Parameters:
multiplier (int) : The mintick point multiplier (1 by default, 10 for FX/Crypto/CFD but can be used to override when certain markets require)
Returns: The pip size for the current market
toWhole(number)
Converts pips into whole numbers. Required params: number.
Parameters:
number (float) : The pip number to convert into a whole number
Returns: The converted number
toPips(number)
Converts whole numbers back into pips. Required params: number.
Parameters:
number (float) : The whole number to convert into pips
Returns: The converted number
debug(txt, tooltip, displayLabel)
Prints to console and generates a debug label with the given text. Required params: txt.
Parameters:
txt (string) : Text to display
tooltip (string) : Tooltip to display (optional)
displayLabel (bool) : Turns on/off chart label (default: off)
Returns: Nothing
order(licenseID, command, symbol, parameters, accfilter, comment, secret, freq, debug)
Generates an alert string. Required params: licenseID, command.
Parameters:
licenseID (string) : Your PC license ID
command (string) : Command to send
symbol (string) : The symbol to trigger this order on
parameters (string) : Other optional parameters to include
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: An alert string with valid PC syntax based on supplied parameters
market_order(licenseID, buy, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a market entry alert with relevant syntax commands. Required params: licenseID, buy, risk.
Parameters:
licenseID (string) : Your PC license ID
buy (bool) : true=buy/long, false=sell/short
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A market order alert string with valid PC syntax based on supplied parameters
buy(licenseID, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a market buy alert with relevant syntax commands. Required params: licenseID, risk.
Parameters:
licenseID (string) : Your PC license ID
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A market order alert string with valid PC syntax based on supplied parameters
sell(licenseID, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a market sell alert with relevant syntax commands. Required params: licenseID, risk.
Parameters:
licenseID (string) : Your PC license ID
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A market order alert string with valid PC syntax based on supplied parameters
closeall(licenseID, comment, secret, freq, debug)
Closes all open trades at market regardless of symbol. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closealleaoff(licenseID, comment, secret, freq, debug)
Closes all open trades at market regardless of symbol, and turns the EA off. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closelong(licenseID, symbol, comment, secret, freq, debug)
Closes all long trades at market for the given symbol. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closeshort(licenseID, symbol, comment, secret, freq, debug)
Closes all open short trades at market for the given symbol. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closelongshort(licenseID, symbol, comment, secret, freq, debug)
Closes all open trades at market for the given symbol. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closelongbuy(licenseID, risk, symbol, comment, secret, freq, debug)
Close all long positions and open a new long at market for the given symbol with given risk/contracts. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
risk (float) : Risk or contracts (according to EA settings)
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closeshortsell(licenseID, risk, symbol, comment, secret, freq, debug)
Close all short positions and open a new short at market for the given symbol with given risk/contracts. Required params: licenseID, risk.
Parameters:
licenseID (string) : Your PC license ID
risk (float) : Risk or contracts (according to EA settings)
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
newsltplong(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)
Updates the stop loss and/or take profit of any open long trades on the given symbol with the given values. Required params: licenseID, sl and/or tp.
Parameters:
licenseID (string) : Your PC license ID
sl (float) : Stop loss pips or price (according to EA settings)
tp (float) : Take profit pips or price (according to EA settings)
symbol (string) : Symbol to act on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
newsltpshort(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)
Updates the stop loss and/or take profit of any open short trades on the given symbol with the given values. Required params: licenseID, sl and/or tp.
Parameters:
licenseID (string) : Your PC license ID
sl (float) : Stop loss pips or price (according to EA settings)
tp (float) : Take profit pips or price (according to EA settings)
symbol (string) : Symbol to act on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closelongpct(licenseID, symbol, comment, secret, freq, debug)
Close a percentage of open long positions (according to EA settings). Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closeshortpct(licenseID, symbol, comment, secret, freq, debug)
Close a percentage of open short positions (according to EA settings). Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closelongvol(licenseID, risk, symbol, comment, secret, freq, debug)
Close all open long contracts on the current symbol until the given risk value is remaining. Required params: licenseID, risk.
Parameters:
licenseID (string) : Your PC license ID
risk (float) : The quantity to leave remaining
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closeshortvol(licenseID, risk, symbol, comment, secret, freq, debug)
Close all open short contracts on the current symbol until the given risk value is remaining. Required params: licenseID, risk.
Parameters:
licenseID (string) : Your PC license ID
risk (float) : The quantity to leave remaining
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
limit_order(licenseID, buy, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a limit order alert with relevant syntax commands. Required params: licenseID, buy, price, risk.
Parameters:
licenseID (string) : Your PC license ID
buy (bool) : true=buy/long, false=sell/short
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A limit order alert string with valid PC syntax based on supplied parameters
buylimit(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a buylimit order alert with relevant syntax commands. Required params: licenseID, price, risk.
Parameters:
licenseID (string) : Your PC license ID
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A limit order alert string with valid PC syntax based on supplied parameters
selllimit(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a selllimit order alert with relevant syntax commands. Required params: licenseID, price, risk.
Parameters:
licenseID (string) : Your PC license ID
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A limit order alert string with valid PC syntax based on supplied parameters
stop_order(licenseID, buy, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a stop order alert with relevant syntax commands. Required params: licenseID, buy, price, risk.
Parameters:
licenseID (string) : Your PC license ID
buy (bool) : true=buy/long, false=sell/short
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A stop order alert string with valid PC syntax based on supplied parameters
buystop(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a buystop order alert with relevant syntax commands. Required params: licenseID, price, risk.
Parameters:
licenseID (string) : Your PC license ID
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A stop order alert string with valid PC syntax based on supplied parameters
sellstop(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a sellstop order alert with relevant syntax commands. Required params: licenseID, price, risk.
Parameters:
licenseID (string) : Your PC license ID
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A stop order alert string with valid PC syntax based on supplied parameters
cancel_neworder(licenseID, order, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Cancel + place new order template function.
Parameters:
licenseID (string) : Your PC license ID
order (string) : Cancel order type
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A stop order alert string with valid PC syntax based on supplied parameters
cancellongbuystop(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Cancels all long orders with the specified symbol and places a new buystop order. Required params: licenseID, price, risk.
Parameters:
licenseID (string) : Your PC license ID
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A stop order alert string with valid PC syntax based on supplied parameters
cancellongbuylimit(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Cancels all long orders with the specified symbol and places a new buylimit order. Required params: licenseID, price, risk.
Parameters:
licenseID (string) : Your PC license ID
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A stop order alert string with valid PC syntax based on supplied parameters
cancelshortsellstop(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Cancels all short orders with the specified symbol and places a sellstop order. Required params: licenseID, price, risk.
Parameters:
licenseID (string) : Your PC license ID
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A stop order alert string with valid PC syntax based on supplied parameters
cancelshortselllimit(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Cancels all short orders with the specified symbol and places a selllimit order. Required params: licenseID, price, risk.
Parameters:
licenseID (string) : Your PC license ID
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A stop order alert string with valid PC syntax based on supplied parameters
cancellong(licenseID, symbol, accfilter, comment, secret, freq, debug)
Cancels all pending long orders with the specified symbol. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
symbol (string) : Symbol to act on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A cancel long alert command
cancelshort(licenseID, symbol, accfilter, comment, secret, freq, debug)
Cancels all pending short orders with the specified symbol. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
symbol (string) : Symbol to act on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A cancel short alert command
newsltpbuystop(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)
Updates the stop loss and/or take profit of any pending buy stop orders on the given symbol. Required params: licenseID, sl and/or tp.
Parameters:
licenseID (string) : Your PC license ID
sl (float) : Stop loss pips or price (according to EA settings)
tp (float) : Take profit pips or price (according to EA settings)
symbol (string) : Symbol to act on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
newsltpbuylimit(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)
Updates the stop loss and/or take profit of any pending buy limit orders on the given symbol. Required params: licenseID, sl and/or tp.
Parameters:
licenseID (string) : Your PC license ID
sl (float) : Stop loss pips or price (according to EA settings)
tp (float) : Take profit pips or price (according to EA settings)
symbol (string) : Symbol to act on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
newsltpsellstop(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)
Updates the stop loss and/or take profit of any pending sell stop orders on the given symbol. Required params: licenseID, sl and/or tp.
Parameters:
licenseID (string) : Your PC license ID
sl (float) : Stop loss pips or price (according to EA settings)
tp (float) : Take profit pips or price (according to EA settings)
symbol (string) : Symbol to act on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
newsltpselllimit(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)
Updates the stop loss and/or take profit of any pending sell limit orders on the given symbol. Required params: licenseID, sl and/or tp.
Parameters:
licenseID (string) : Your PC license ID
sl (float) : Stop loss pips or price (according to EA settings)
tp (float) : Take profit pips or price (according to EA settings)
symbol (string) : Symbol to act on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
eaoff(licenseID, secret, freq, debug)
Turns the EA off. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
eaon(licenseID, secret, freq, debug)
Turns the EA on. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
UtilityLibrary "Utility"
A utility library for various trading tools such as signal generation, custom indicators, and multi-condition crossovers.
multiCrossover(source1, source2, threshold1, threshold2)
multiCrossover
@description Detects multi-condition crossovers between two sources with threshold filters.
Parameters:
source1 (float) : The first data series to compare.
source2 (float) : The second data series to compare.
threshold1 (float) : A value that source1 must exceed to trigger the crossover.
threshold2 (float) : A value that source2 must exceed to trigger the crossunder.
Returns: A tuple: (crossUp, crossDown) where crossUp is a boolean for upward crossover, and crossDown is for downward crossover.
macdCustom(source, fastLength, slowLength, signalLength, macdThresh)
macdCustom
@description Calculates custom MACD signals based on thresholds.
Parameters:
source (float) : The price data or input series.
fastLength (simple int) : The length of the fast EMA.
slowLength (simple int) : The length of the slow EMA.
signalLength (simple int) : The signal line length.
macdThresh (float) : A threshold for the MACD line to confirm buy/sell signals.
Returns: A tuple: (macdBuySignal, macdSellSignal) where macdBuySignal is true when MACD crosses above, and macdSellSignal is true when MACD crosses below the signal line.
combinedMacdRsi(source, fastLength, slowLength, signalLength, rsiLength, macdThresh, rsiThresh)
combinedMacdRsi
@description Generates combined signals from MACD and RSI indicators.
Parameters:
source (float) : The price data or input series.
fastLength (simple int) : The length of the fast EMA for MACD.
slowLength (simple int) : The length of the slow EMA for MACD.
signalLength (simple int) : The signal line length for MACD.
rsiLength (simple int) : The length of the RSI calculation.
macdThresh (float) : The threshold for MACD signals.
rsiThresh (float) : The threshold for RSI signals.
Returns: A tuple: (buySignal, sellSignal) where buySignal is generated when MACD is positive and RSI is below the threshold, and sellSignal when MACD is negative and RSI is above the threshold.
movingAverageCrossover(source, shortLength, longLength)
movingAverageCrossover
@description Detects crossovers between short-term and long-term moving averages.
Parameters:
source (float) : The price data or input series.
shortLength (int) : The length of the short-term moving average.
longLength (int) : The length of the long-term moving average.
Returns: A tuple: (crossUp, crossDown) where crossUp is true when the short-term MA crosses above the long-term MA, and crossDown when the reverse occurs.
Trading IQ - ICT LibraryLibrary "ICTlibrary"
Used to calculate various ICT related price levels and strategies. An ongoing project.
Hello Coders!
This library is meant for sourcing ICT related concepts. While some functions might generate more output than you require, you can specify "Lite Mode" as "true" in applicable functions to slim down necessary inputs.
isLastBar(userTF)
Identifies the last bar on the chart before a timeframe change
Parameters:
userTF (simple int) : the timeframe you wish to calculate the last bar for, must be converted to integer using 'timeframe.in_seconds()'
Returns: bool true if bar on chart is last bar of higher TF, dalse if bar on chart is not last bar of higher TF
necessaryData(atrTF)
returns necessaryData UDT for historical data access
Parameters:
atrTF (float) : user-selected timeframe ATR value.
Returns: logZ. log return Z score, used for calculating order blocks.
method gradBoxes(gradientBoxes, idColor, timeStart, bottom, top, rightCoordinate)
creates neon like effect for box drawings
Namespace types: array
Parameters:
gradientBoxes (array) : an array.new() to store the gradient boxes
idColor (color)
timeStart (int) : left point of box
bottom (float) : bottom of box price point
top (float) : top of box price point
rightCoordinate (int) : right point of box
Returns: void
checkIfTraded(tradeName)
checks if recent trade is of specific name
Parameters:
tradeName (string)
Returns: bool true if recent trade id matches target name, false otherwise
checkIfClosed(tradeName)
checks if recent closed trade is of specific name
Parameters:
tradeName (string)
Returns: bool true if recent closed trade id matches target name, false otherwise
IQZZ(atrMult, finalTF)
custom ZZ to quickly determine market direction.
Parameters:
atrMult (float) : an atr multiplier used to determine the required price move for a ZZ direction change
finalTF (string) : the timeframe used for the atr calcuation
Returns: dir market direction. Up => 1, down => -1
method drawBos(id, startPoint, getKeyPointTime, getKeyPointPrice, col, showBOS, isUp)
calculates and draws Break Of Structure
Namespace types: array
Parameters:
id (array)
startPoint (chart.point)
getKeyPointTime (int) : the actual time of startPoint, simplystartPoint.time
getKeyPointPrice (float) : the actual time of startPoint, simplystartPoint.price
col (color) : color of the BoS line / label
showBOS (bool) : whether to show label/line. This function still calculates internally for other ICT related concepts even if not drawn.
isUp (bool) : whether BoS happened during price increase or price decrease.
Returns: void
method drawMSS(id, startPoint, getKeyPointTime, getKeyPointPrice, col, showMSS, isUp, upRejections, dnRejections, highArr, lowArr, timeArr, closeArr, openArr, atrTFarr, upRejectionsPrices, dnRejectionsPrices)
calculates and draws Market Structure Shift. This data is also used to calculate Rejection Blocks.
Namespace types: array
Parameters:
id (array)
startPoint (chart.point)
getKeyPointTime (int) : the actual time of startPoint, simplystartPoint.time
getKeyPointPrice (float) : the actual time of startPoint, simplystartPoint.price
col (color) : color of the MSS line / label
showMSS (bool) : whether to show label/line. This function still calculates internally for other ICT related concepts even if not drawn.
isUp (bool) : whether MSS happened during price increase or price decrease.
upRejections (array)
dnRejections (array)
highArr (array) : array containing historical highs, should be taken from the UDT "necessaryData" defined above
lowArr (array) : array containing historical lows, should be taken from the UDT "necessaryData" defined above
timeArr (array) : array containing historical times, should be taken from the UDT "necessaryData" defined above
closeArr (array) : array containing historical closes, should be taken from the UDT "necessaryData" defined above
openArr (array) : array containing historical opens, should be taken from the UDT "necessaryData" defined above
atrTFarr (array) : array containing historical atr values (of user-selected TF), should be taken from the UDT "necessaryData" defined above
upRejectionsPrices (array) : array containing up rejections prices. Is sorted and used to determine selective looping for invalidations.
dnRejectionsPrices (array) : array containing down rejections prices. Is sorted and used to determine selective looping for invalidations.
Returns: void
method getTime(id, compare, timeArr)
gets time of inputted price (compare) in an array of data
this is useful when the user-selected timeframe for ICT concepts is greater than the chart's timeframe
Namespace types: array
Parameters:
id (array) : the array of data to search through, to find which index has the same value as "compare"
compare (float) : the target data point to find in the array
timeArr (array) : array of historical times
Returns: the time that the data point in the array was recorded
method OB(id, highArr, signArr, lowArr, timeArr, sign)
store bullish orderblock data
Namespace types: array
Parameters:
id (array)
highArr (array) : array of historical highs
signArr (array) : array of historical price direction "math.sign(close - open)"
lowArr (array) : array of historical lows
timeArr (array) : array of historical times
sign (int) : orderblock direction, -1 => bullish, 1 => bearish
Returns: void
OTEstrat(OTEstart, future, closeArr, highArr, lowArr, timeArr, longOTEPT, longOTESL, longOTElevel, shortOTEPT, shortOTESL, shortOTElevel, structureDirection, oteLongs, atrTF, oteShorts)
executes the OTE strategy
Parameters:
OTEstart (chart.point)
future (int) : future time point for drawings
closeArr (array) : array of historical closes
highArr (array) : array of historical highs
lowArr (array) : array of historical lows
timeArr (array) : array of historical times
longOTEPT (string) : user-selected long OTE profit target, please create an input.string() for this using the example below
longOTESL (int) : user-selected long OTE stop loss, please create an input.string() for this using the example below
longOTElevel (float) : long entry price of selected retracement ratio for OTE
shortOTEPT (string) : user-selected short OTE profit target, please create an input.string() for this using the example below
shortOTESL (int) : user-selected short OTE stop loss, please create an input.string() for this using the example below
shortOTElevel (float) : short entry price of selected retracement ratio for OTE
structureDirection (string) : current market structure direction, this should be "Up" or "Down". This is used to cancel pending orders if market structure changes
oteLongs (bool) : input.bool() for whether OTE longs can be executed
atrTF (float) : atr of the user-seleceted TF
oteShorts (bool) : input.bool() for whether OTE shorts can be executed
@exampleInputs
oteLongs = input.bool(defval = false, title = "OTE Longs", group = "Optimal Trade Entry")
longOTElevel = input.float(defval = 0.79, title = "Long Entry Retracement Level", options = , group = "Optimal Trade Entry")
longOTEPT = input.string(defval = "-0.5", title = "Long TP", options = , group = "Optimal Trade Entry")
longOTESL = input.int(defval = 0, title = "How Many Ticks Below Swing Low For Stop Loss", group = "Optimal Trade Entry")
oteShorts = input.bool(defval = false, title = "OTE Shorts", group = "Optimal Trade Entry")
shortOTElevel = input.float(defval = 0.79, title = "Short Entry Retracement Level", options = , group = "Optimal Trade Entry")
shortOTEPT = input.string(defval = "-0.5", title = "Short TP", options = , group = "Optimal Trade Entry")
shortOTESL = input.int(defval = 0, title = "How Many Ticks Above Swing Low For Stop Loss", group = "Optimal Trade Entry")
Returns: void (0)
displacement(logZ, atrTFreg, highArr, timeArr, lowArr, upDispShow, dnDispShow, masterCoords, labelLevels, dispUpcol, rightCoordinate, dispDncol, noBorders)
calculates and draws dispacements
Parameters:
logZ (float) : log return of current price, used to determine a "significant price move" for a displacement
atrTFreg (float) : atr of user-seleceted timeframe
highArr (array) : array of historical highs
timeArr (array) : array of historical times
lowArr (array) : array of historical lows
upDispShow (int) : amount of historical upside displacements to show
dnDispShow (int) : amount of historical downside displacements to show
masterCoords (map) : a map to push the most recent displacement prices into, useful for having key levels in one data structure
labelLevels (string) : used to determine label placement for the displacement, can be inside box, outside box, or none, example below
dispUpcol (color) : upside displacement color
rightCoordinate (int) : future time for displacement drawing, best is "last_bar_time"
dispDncol (color) : downside displacement color
noBorders (bool) : input.bool() to remove box borders, example below
@exampleInputs
labelLevels = input.string(defval = "Inside" , title = "Box Label Placement", options = )
noBorders = input.bool(defval = false, title = "No Borders On Levels")
Returns: void
method getStrongLow(id, startIndex, timeArr, lowArr, strongLowPoints)
unshift strong low data to array id
Namespace types: array
Parameters:
id (array)
startIndex (int) : the starting index for the timeArr array of the UDT "necessaryData".
this point should start from at least 1 pivot prior to find the low before an upside BoS
timeArr (array) : array of historical times
lowArr (array) : array of historical lows
strongLowPoints (array) : array of strong low prices. Used to retrieve highest strong low price and see if need for
removal of invalidated strong lows
Returns: void
method getStrongHigh(id, startIndex, timeArr, highArr, strongHighPoints)
unshift strong high data to array id
Namespace types: array
Parameters:
id (array)
startIndex (int) : the starting index for the timeArr array of the UDT "necessaryData".
this point should start from at least 1 pivot prior to find the high before a downside BoS
timeArr (array) : array of historical times
highArr (array) : array of historical highs
strongHighPoints (array)
Returns: void
equalLevels(highArr, lowArr, timeArr, rightCoordinate, equalHighsCol, equalLowsCol, liteMode)
used to calculate recent equal highs or equal lows
Parameters:
highArr (array) : array of historical highs
lowArr (array) : array of historical lows
timeArr (array) : array of historical times
rightCoordinate (int) : a future time (right for boxes, x2 for lines)
equalHighsCol (color) : user-selected color for equal highs drawings
equalLowsCol (color) : user-selected color for equal lows drawings
liteMode (bool) : optional for a lite mode version of an ICT strategy. For more control over drawings leave as "True", "False" will apply neon effects
Returns: void
quickTime(timeString)
used to quickly determine if a user-inputted time range is currently active in NYT time
Parameters:
timeString (string) : a time range
Returns: true if session is active, false if session is inactive
macros(showMacros, noBorders)
used to calculate and draw session macros
Parameters:
showMacros (bool) : an input.bool() or simple bool to determine whether to activate the function
noBorders (bool) : an input.bool() to determine whether the box anchored to the session should have borders
Returns: void
po3(tf, left, right, show)
use to calculate HTF po3 candle
@tip only call this function on "barstate.islast"
Parameters:
tf (simple string)
left (int) : the left point of the candle, calculated as bar_index + left,
right (int) : :the right point of the candle, calculated as bar_index + right,
show (bool) : input.bool() whether to show the po3 candle or not
Returns: void
silverBullet(silverBulletStratLong, silverBulletStratShort, future, userTF, H, L, H2, L2, noBorders, silverBulletLongTP, historicalPoints, historicalData, silverBulletLongSL, silverBulletShortTP, silverBulletShortSL)
used to execute the Silver Bullet Strategy
Parameters:
silverBulletStratLong (simple bool)
silverBulletStratShort (simple bool)
future (int) : a future time, used for drawings, example "last_bar_time"
userTF (simple int)
H (float) : the high price of the user-selected TF
L (float) : the low price of the user-selected TF
H2 (float) : the high price of the user-selected TF
L2 (float) : the low price of the user-selected TF
noBorders (bool) : an input.bool() used to remove the borders from box drawings
silverBulletLongTP (series silverBulletLevels)
historicalPoints (array)
historicalData (necessaryData)
silverBulletLongSL (series silverBulletLevels)
silverBulletShortTP (series silverBulletLevels)
silverBulletShortSL (series silverBulletLevels)
Returns: void
method invalidFVGcheck(FVGarr, upFVGpricesSorted, dnFVGpricesSorted)
check if existing FVGs are still valid
Namespace types: array
Parameters:
FVGarr (array)
upFVGpricesSorted (array) : an array of bullish FVG prices, used to selective search through FVG array to remove invalidated levels
dnFVGpricesSorted (array) : an array of bearish FVG prices, used to selective search through FVG array to remove invalidated levels
Returns: void (0)
method drawFVG(counter, FVGshow, FVGname, FVGcol, data, masterCoords, labelLevels, borderTransp, liteMode, rightCoordinate)
draws FVGs on last bar
Namespace types: map
Parameters:
counter (map) : a counter, as map, keeping count of the number of FVGs drawn, makes sure that there aren't more FVGs drawn
than int FVGshow
FVGshow (int) : the number of FVGs to show. There should be a bullish FVG show and bearish FVG show. This function "drawFVG" is used separately
for bearish FVG and bullish FVG.
FVGname (string) : the name of the FVG, "FVG Up" or "FVG Down"
FVGcol (color) : desired FVG color
data (FVG)
masterCoords (map) : a map containing the names and price points of key levels. Used to define price ranges.
labelLevels (string) : an input.string with options "Inside", "Outside", "Remove". Determines whether FVG labels should be inside box, outside,
or na.
borderTransp (int)
liteMode (bool)
rightCoordinate (int) : the right coordinate of any drawings. Must be a time point.
Returns: void
invalidBlockCheck(bullishOBbox, bearishOBbox, userTF)
check if existing order blocks are still valid
Parameters:
bullishOBbox (array) : an array declared using the UDT orderBlock that contains bullish order block related data
bearishOBbox (array) : an array declared using the UDT orderBlock that contains bearish order block related data
userTF (simple int)
Returns: void (0)
method lastBarRejections(id, rejectionColor, idShow, rejectionString, labelLevels, borderTransp, liteMode, rightCoordinate, masterCoords)
draws rejectionBlocks on last bar
Namespace types: array
Parameters:
id (array) : the array, an array of rejection block data declared using the UDT rejection block
rejectionColor (color) : the desired color of the rejection box
idShow (int)
rejectionString (string) : the desired name of the rejection blocks
labelLevels (string) : an input.string() to determine if labels for the block should be inside the box, outside, or none.
borderTransp (int)
liteMode (bool) : an input.bool(). True = neon effect, false = no neon.
rightCoordinate (int) : atime for the right coordinate of the box
masterCoords (map) : a map that stores the price of key levels and assigns them a name, used to determine price ranges
Returns: void
method OBdraw(id, OBshow, BBshow, OBcol, BBcol, bullishString, bearishString, isBullish, labelLevels, borderTransp, liteMode, rightCoordinate, masterCoords)
draws orderblocks and breaker blocks for data stored in UDT array()
Namespace types: array
Parameters:
id (array) : the array, an array of order block data declared using the UDT orderblock
OBshow (int) : the number of order blocks to show
BBshow (int) : the number of breaker blocks to show
OBcol (color) : color of order blocks
BBcol (color) : color of breaker blocks
bullishString (string) : the title of bullish blocks, which is a regular bullish orderblock or a bearish orderblock that's converted to breakerblock
bearishString (string) : the title of bearish blocks, which is a regular bearish orderblock or a bullish orderblock that's converted to breakerblock
isBullish (bool) : whether the array contains bullish orderblocks or bearish orderblocks. If bullish orderblocks,
the array will naturally contain bearish BB, and if bearish OB, the array will naturally contain bullish BB
labelLevels (string) : an input.string() to determine if labels for the block should be inside the box, outside, or none.
borderTransp (int)
liteMode (bool) : an input.bool(). True = neon effect, false = no neon.
rightCoordinate (int) : atime for the right coordinate of the box
masterCoords (map) : a map that stores the price of key levels and assigns them a name, used to determine price ranges
Returns: void
FVG
UDT for FVG calcualtions
Fields:
H (series float) : high price of user-selected timeframe
L (series float) : low price of user-selected timeframe
direction (series string) : FVG direction => "Up" or "Down"
T (series int) : => time of bar on user-selected timeframe where FVG was created
fvgLabel (series label) : optional label for FVG
fvgLineTop (series line) : optional line for top of FVG
fvgLineBot (series line) : optional line for bottom of FVG
fvgBox (series box) : optional box for FVG
labelLine
quickly pair a line and label together as UDT
Fields:
lin (series line) : Line you wish to pair with label
lab (series label) : Label you wish to pair with line
orderBlock
UDT for order block calculations
Fields:
orderBlockData (array) : array containing order block x and y points
orderBlockBox (series box) : optional order block box
vioCount (series int) : = 0 violation count of the order block. 0 = Order Block, 1 = Breaker Block
traded (series bool)
status (series string) : = "OB" status == "OB" => Level is order block. status == "BB" => Level is breaker block.
orderBlockLab (series label) : options label for the order block / breaker block.
strongPoints
UDT for strong highs and strong lows
Fields:
price (series float) : price of the strong high or strong low
timeAtprice (series int) : time of the strong high or strong low
strongPointLabel (series label) : optional label for strong point
strongPointLine (series line) : optional line for strong point
overlayLine (series line) : optional lines for strong point to enhance visibility
overlayLine2 (series line) : optional lines for strong point to enhance visibility
displacement
UDT for dispacements
Fields:
highPrice (series float) : high price of displacement
lowPrice (series float) : low price of displacement
timeAtPrice (series int) : time of bar where displacement occurred
displacementBox (series box) : optional box to draw displacement
displacementLab (series label) : optional label for displacement
po3data
UDT for po3 calculations
Fields:
dHigh (series float) : higher timeframe high price
dLow (series float) : higher timeframe low price
dOpen (series float) : higher timeframe open price
dClose (series float) : higher timeframe close price
po3box (series box) : box to draw po3 candle body
po3line (array) : line array to draw po3 wicks
po3Labels (array) : label array to label price points of po3 candle
macros
UDT for session macros
Fields:
sessions (array) : Array of sessions, you can populate this array using the "quickTime" function located above "export macros".
prices (matrix) : Matrix of session data -> open, high, low, close, time
sessionTimes (array) : Array of session names. Pairs with array sessions.
sessionLines (matrix) : Optional array for sesion drawings.
OTEtimes
UDT for data storage and drawings associated with OTE strategy
Fields:
upTimes (array) : time of highest point before trade is taken
dnTimes (array) : time of lowest point before trade is taken
tpLineLong (series line) : line to mark tp level long
tpLabelLong (series label) : label to mark tp level long
slLineLong (series line) : line to mark sl level long
slLabelLong (series label) : label to mark sl level long
tpLineShort (series line) : line to mark tp level short
tpLabelShort (series label) : label to mark tp level short
slLineShort (series line) : line to mark sl level short
slLabelShort (series label) : label to mark sl level short
sweeps
UDT for data storage and drawings associated with liquidity sweeps
Fields:
upSweeps (matrix) : matrix containing liquidity sweep price points and time points for up sweeps
dnSweeps (matrix) : matrix containing liquidity sweep price points and time points for down sweeps
upSweepDrawings (array) : optional up sweep box array. Pair the size of this array with the rows or columns,
dnSweepDrawings (array) : optional up sweep box array. Pair the size of this array with the rows or columns,
raidExitDrawings
UDT for drawings associated with the Liquidity Raid Strategy
Fields:
tpLine (series line) : tp line for the liquidity raid entry
tpLabel (series label) : tp label for the liquidity raid entry
slLine (series line) : sl line for the liquidity raid entry
slLabel (series label) : sl label for the liquidity raid entry
m2022
UDT for data storage and drawings associated with the Model 2022 Strategy
Fields:
mTime (series int) : time of the FVG where entry limit order is placed
mIndex (series int) : array index of FVG where entry limit order is placed. This requires an array of FVG data, which is defined above.
mEntryDistance (series float) : the distance of the FVG to the 50% range. M2022 looks for the fvg closest to 50% mark of range.
mEntry (series float) : the entry price for the most eligible fvg
fvgHigh (series float) : the high point of the eligible fvg
fvgLow (series float) : the low point of the eligible fvg
longFVGentryBox (series box) : long FVG box, used to draw the eligible FVG
shortFVGentryBox (series box) : short FVG box, used to draw the eligible FVG
line50P (series line) : line used to mark 50% of the range
line100P (series line) : line used to mark 100% (top) of the range
line0P (series line) : line used to mark 0% (bottom) of the range
label50P (series label) : label used to mark 50% of the range
label100P (series label) : label used to mark 100% (top) of the range
label0P (series label) : label used to mark 0% (bottom) of the range
sweepData (array)
silverBullet
UDT for data storage and drawings associated with the Silver Bullet Strategy
Fields:
session (series bool)
sessionStr (series string) : name of the session for silver bullet
sessionBias (series string)
sessionHigh (series float) : = high high of session // use math.max(silverBullet.sessionHigh, high)
sessionLow (series float) : = low low of session // use math.min(silverBullet.sessionLow, low)
sessionFVG (series float) : if applicable, the FVG created during the session
sessionFVGdraw (series box) : if applicable, draw the FVG created during the session
traded (series bool)
tp (series float) : tp of trade entered at the session FVG
sl (series float) : sl of trade entered at the session FVG
sessionDraw (series box) : optional draw session with box
sessionDrawLabel (series label) : optional label session with label
silverBulletDrawings
UDT for trade exit drawings associated with the Silver Bullet Strategy
Fields:
tpLine (series line) : tp line drawing for strategy
tpLabel (series label) : tp label drawing for strategy
slLine (series line) : sl line drawing for strategy
slLabel (series label) : sl label drawing for strategy
unicornModel
UDT for data storage and drawings associated with the Unicorn Model Strategy
Fields:
hPoint (chart.point)
hPoint2 (chart.point)
hPoint3 (chart.point)
breakerBlock (series box) : used to draw the breaker block required for the Unicorn Model
FVG (series box) : used to draw the FVG required for the Unicorn model
topBlock (series float) : price of top of breaker block, can be used to detail trade entry
botBlock (series float) : price of bottom of breaker block, can be used to detail trade entry
startBlock (series int) : start time of the breaker block, used to set the "left = " param for the box
includes (array) : used to store the time of the breaker block, or FVG, or the chart point sequence that setup the Unicorn Model.
entry (series float) : // eligible entry price, for longs"math.max(topBlock, FVG.get_top())",
tpLine (series line) : optional line to mark PT
tpLabel (series label) : optional label to mark PT
slLine (series line) : optional line to mark SL
slLabel (series label) : optional label to mark SL
rejectionBlocks
UDT for data storage and drawings associated with rejection blocks
Fields:
rejectionPoint (chart.point)
bodyPrice (series float) : candle body price closest to the rejection point, for "Up" rejections => math.max(open, close),
rejectionBox (series box) : optional box drawing of the rejection block
rejectionLabel (series label) : optional label for the rejection block
equalLevelsDraw
UDT for data storage and drawings associated with equal highs / equal lows
Fields:
connector (series line) : single line placed at the first high or low, y = avgerage of distinguished equal highs/lows
connectorLab (series label) : optional label to be placed at the highs or lows
levels (array) : array containing the equal highs or lows prices
times (array) : array containing the equal highs or lows individual times
startTime (series int) : the time of the first high or low that forms a sequence of equal highs or lows
radiate (array) : options label to "radiate" the label in connector lab. Can be used for anything
necessaryData
UDT for data storage of historical price points.
Fields:
highArr (array) : array containing historical high points
lowArr (array) : array containing historical low points
timeArr (array) : array containing historical time points
logArr (array) : array containing historical log returns
signArr (array) : array containing historical price directions
closeArr (array) : array containing historical close points
binaryTimeArr (array) : array containing historical time points, uses "push" instead of "unshift" to allow for binary search
binaryCloseArr (array) : array containing historical close points, uses "push" instead of "unshift" to allow the correct
binaryOpenArr (array) : array containing historical optn points, uses "push" instead of "unshift" to allow the correct
atrTFarr (array) : array containing historical user-selected TF atr points
openArr (array) : array containing historical open points
