█ OVERVIEW This library is a tool for Pine programmers that provides functions for calculating risk-adjusted performance metrics on periodic price returns. The calculations used by this library's functions closely mirror those the Broker Emulator uses to calculate strategy performance metrics (e.g., Sharpe and Sortino ratios) without depending on...
This is a Pine Script library for the public indicator "Volatility ZigZag" by brettkind. For further description, please refer to the information available on the original indicator page. Library "Volatility_ZigZag_Library" getValues_andStyling_VolatilityZigZag_byBrettkind(hl_src, SOURCE, length, min_dev_input, stdev_fctr, ZigZag, zz_color, zz_width,...
Signal Generation Library = "signalLib_yashgode9" This library, named "signalLib_yashgode9", is designed to generate buy and sell signals based on the price action of a financial instrument. It utilizes various technical indicators and parameters to determine the market direction and provide actionable signals for traders. Key Features:- 1.Trend Direction...
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 "Crypto" This Library includes functions related to crytocurrencies and their blockchain btcBlockReward(t) Delivers the BTC block reward for a specific date/time Parameters: t (int) : Time of the current candle Returns: blockRewardBtc
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:...
🔵 Introduction The "Refinement" feature allows you to adjust the width of the order block according to your strategy. There are two modes, "Aggressive" and "Defensive," in the "Order Block Refine". The difference between "Aggressive" and "Defensive" lies in the width of the order block. For risk-averse traders, the "Defensive" mode is suitable as it provides a...
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 "Useful_lib_public" Useful functions CountBarsOfDay() count bars for one for the diffrent time frames Returns: number of bars for one day LastBarsOfDay() Index number for the las bar for one day Returns: TRUE is that the last bar from day isTuesday() TRUE is tuesday Returns: TRUE is tuesday else FALSE Rsi(src, len) RSI...
Library "Monty3192_Library" Libreria Monty3192 - MontyTrader calc_func(inversion1, inversion2, inversion3, inversion4, inversion5, inversion6, inversion7, inversion8, inversion9, inversion10, precio1, precio2, precio3, precio4, precio5, precio6, precio7, precio8, precio9, precio10, act_1, act_2, act_3, act_4, act_5, act_6, act_7, act_8, act_9, act_10)...
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 "FunctionDiscreteCosineTransform" Discrete Cosine Transform (DCT) The Discrete Cosine Transform (DCT) is a mathematical algorithm that converts a series of samples of a signal, typically in the time domain, into another domain called the frequency or spectral domain. It's commonly used for data compression and image/video coding applications such as...
©2024, GoemonYae; copied from @jdehorty's "KernelFunctions" on 2024-03-09 to ensure future dependency compatibility. Will also add more functions to this script. Library "KernelFunctions" This library provides non-repainting kernel functions for Nadaraya-Watson estimator implementations. This allows for easy substition/comparison of different kernel functions...
Library "NormalDistributionFunctions" The NormalDistributionFunctions library encompasses a comprehensive suite of statistical tools for financial market analysis. It provides functions to calculate essential statistical measures such as mean, standard deviation, skewness, and kurtosis, alongside advanced functionalities for computing the probability density...
Library "ApproximateGaussianSmoothing" This library provides a novel smoothing function for time-series data, serving as an alternative to SMA and EMA. Additionally, it provides some statistical processing, using moving averages as expected values in statistics. 'Approximate Gaussian Smoothing' (AGS) is designed to apply weights to time-series data that closely...
Library "FVG Detector Library" 🔵 Introduction To save time and improve accuracy in your scripts for identifying Fair Value Gaps (FVGs), you can utilize this library. Apart from detecting and plotting FVGs, one of the most significant advantages of this script is the ability to filter FVGs, which you'll learn more about below. Additionally, the plotting of...
Library "TimeSeriesRecurrencePlot" In descriptive statistics and chaos theory, a recurrence plot (RP) is a plot showing, for each moment i i in time, the times at which the state of a dynamical system returns to the previous state at `i`, i.e., when the phase space trajectory visits roughly the same area in the phase space as at time `j`. ``` A recurrence plot...
Library "TimeSeriesGrammianAngularField" provides Grammian angular field and associated utility functions. ___ Reference: *Time Series Classification: A review of Algorithms and Implementations*. www.researchgate.net method normalize(data, a, b) Normalize the series to a optional range, usualy within `(-1, 1)` or `(0, 1)`. Namespace types:...