Library "Cinnamon_BearIndicatorsMALibrary"
This is a personal Library of the NON built-in PineScript Moving Average function used to code indicators
ma_dema(source, length)
Double Exponential Moving Average (DEMA)
Parameters:
source (simple float)
length (simple int)
Returns: A double level of smoothing helps to follow price movements more...
Library "FunctionTimeFrequency"
Functions to encode time in a normalized space (-0.5, 0.5) that corresponds to the position of the
current time in the referrence frequency of time.
The purpose of normalizing the time value in this manner is to provide a consistent and easily comparable
representation of normalized time that can be used for various calculations...
Library "Complex"
This library includes user-defined complex type, and functions to perform basic arithmetic operations on complex numbers.
real(radius, angle)
Calculates the real part of a complex number based on its polar coordinates.
Parameters:
radius (float)
angle (float)
imag(radius, angle)
Calculates the imaginary part of a...
Library "Binary"
This library includes functions to convert between decimal and binary numeral formats, and logical and arithmetic operations on binary numbers.
method toBin(value)
Converts the provided boolean value into binary integers (0 or 1).
Namespace types: series bool, simple bool, input bool, const bool
Parameters:
value (bool) :...
Library "TradingUtils"
Utility library for common trading functions
calcVariation(price, threshold)
Calculates variation of a price based on a threshold
Parameters:
price (float) : (float) The price to be varied
threshold (float) : (float) The threshold for the variation
Returns: (float) The varied price
sendAlert(action, symbol, orderType,...
Library "MathTransform"
Auxiliary functions for transforming data using mathematical and statistical methods
scaler_zscore(x, lookback_window)
Calculates Z-Score normalization of a series.
Parameters:
x (float) : : floating point series to normalize
lookback_window (int) : : lookback period for calculating mean and standard deviation
Returns:...
Library "stats"
stats
factorial(x)
factorial
Parameters:
x (int)
standardize(x, length, lengthSmooth)
standardize
@description Moving Standardization of a time series.
Parameters:
x (float)
length (int)
lengthSmooth (int)
dnorm(x, mean, sd)
dnorm
@description Approximation for Normal Density...
Library "MathOperator"
Methods to handle operators.
method add(value_a, value_b)
Add value a to b.
Namespace types: series float, simple float, input float, const float
Parameters:
value_a (float) : float, value a.
value_b (float) : float, value b.
Returns: float.
method subtract(value_a, value_b)
subtract value b from a.
Namespace...
This library is designed to aid traders and developers in calculating risk metrics efficiently across different asset types like equities, futures, and forex. It includes comprehensive functions that calculate the number of units or contracts to trade, the value at risk, and the total value of the position based on provided entry prices, stop levels, and risk...
Library "math"
It's a library of discrete aproximations of a price or Series float it uses Fourier Discrete transform, Laplace Discrete Original and Modified transform and Euler's Theoreum for Homogenus White noice operations. Calling functions without source value it automatically take close as the default source value.
Here is a picture of Laplace and...
Library "AminioLibrary"
: this is my personal library that is being used in different indicators and strategies
calculateMA(source, len, maType)
This fuction returns a moving average value based on the type
Parameters:
source (float) : Is the time series source to calculate average from
len (simple int) : The length of the moving average, this...
Library "utils"
Provides a set of utility functions for use in strategies or indicators.
colorGreen(opacity)
Parameters:
opacity (int)
colorRed(opacity)
Parameters:
opacity (int)
colorTeal(opacity)
Parameters:
opacity (int)
colorBlue(opacity)
Parameters:
opacity (int)
colorOrange(opacity)
Parameters:
opacity...
Library "XXPivotsBreakouts"
Utilizes k-NN machine learning to predict breakout zones from pivot points, aiding traders in identifying potential bullish and bearish market movements. Ideal for trend-following and breakout strategies.
breakouts(pivotBars, numNeighbors, maxData, predictionSmoothing)
Detects and predicts breakout points from pivot...
Library "regressions"
This library computes least square regression models for polynomials of any form for a given data set of x and y values.
fit(X, y, reg_type, degrees)
Takes a list of X and y values and the degrees of the polynomial and returns a least square regression for the given polynomial on the dataset.
Parameters:
X (array) : (float ) ...
Library "Adaptive Profit And Loss"
Provide Take profit and Stop loss values depending on source.
TakeProfitPriceTypes()
Provides supported Take profit sources
Returns: Supported Take profit sources
StopLossPriceTypes()
Provides supported Take profit sources
Returns: Supported Take profit sources
Price(type)
Get price value by selected price...
