©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...
🔵 Introduction You may intend to utilize the "Liquidity" detection capability in your indicators. Instead of writing it, you can import the "Liquidity Finder" library into your code. One of the advantages of this approach is time-saving and reduction in scripting errors. 🔵 Key Features Identification of "Statics Liquidity" Identification of "Dynamics...
The AzLibConnector provides a comprehensive suite of functions for facilitating seamless communication and chaining of signal value streams between connectable indicators, signal filters, monitors, and strategies on TradingView. By adeptly integrating both positive and negative weights from Entry Long (EL), Exit Long (XL), Entry Short (ES), and Exit Short (XS)...
Linear Time-Invariant (LTI) filters are fundamental tools in signal processing that operate with consistent behavior over time and linearly respond to input signals. They are crucial for analyzing and manipulating signals in various applications, ensuring the output signal's integrity is maintained regardless of when an input is applied or its magnitude. The...
Library "support_array_methods" Contains methods for support work with arrays: 1. unic description: delete duplicate element from array param _array: array for delete duplicate. Support types: int,float,string,bool return: duplicate-free array
This is yet another ZigZag library. 🔵 Key Features 1. Lightning-Fast Performance : Optimized code ensures minimal lag and swift chart updates. 2. Real-Time Swing Detection : No more waiting for swings to finalize! This library continuously identifies the latest swing formation. 3. Amplitude-Aware : Discover significant swings earlier, even if they haven't...
This library supplies a randomized list of 1-Move Chess Puzzles, this is 5/5 in my collection of puzzles on Tradingview. This library contains 730 chess puzzles, this is enough for 1 unique chess puzzle for 2 years (730/365 = 2) The Puzzles are sourced from Lichess's open-source database found here -> | database.lichess.org This data has been reduced to only...
This library supplies a randomized list of 1-Move Chess Puzzles, this is 4/5 in my collection of puzzles on Tradingview. This library contains 730 chess puzzles, this is enough for 1 unique chess puzzle for 2 years (730/365 = 2) The Puzzles are sourced from Lichess's open-source database found here -> | database.lichess.org This data has been reduced to only...
This library supplies a randomized list of 1-Move Chess Puzzles, this is 3/5 in my collection of puzzles on Tradingview. This library contains 730 chess puzzles, this is enough for 1 unique chess puzzle for 2 years (730/365 = 2) The Puzzles are sourced from Lichess's open-source database found here -> | database.lichess.org This data has been reduced to only...
This library supplies a randomized list of 1-Move Chess Puzzles, this is 2/5 in my collection of puzzles on Tradingview. This library contains 730 chess puzzles, this is enough for 1 unique chess puzzle for 2 years (730/365 = 2) The Puzzles are sourced from Lichess's open-source database found here -> | database.lichess.org This data has been reduced to only...
This library supplies a randomized list of 1-Move Chess Puzzles, this is 1/5 in my collection of puzzles on Tradingview. This library contains 730 chess puzzles, this is enough for 1 unique chess puzzle for 2 years (730/365 = 2) The Puzzles are sourced from Lichess's open-source database found here -> | database.lichess.org This data has been reduced to only...
Library "Functions" is_date_equal(date1, date2, time_zone) Parameters: date1 (int) date2 (int) time_zone (string) is_date_equal(date1, date2_str, time_zone) Parameters: date1 (int) date2_str (string) time_zone (string) is_date_between(date_, start_year, start_month, end_year, end_month, time_zone_)...
Library "Levels" method initialize(id) Namespace types: levels_collection Parameters: id (levels_collection) method create_level(id, name, value, level_start_bar, level_color, show) Namespace types: levels_collection Parameters: id (levels_collection) name (string) value (float) level_start_bar (int) level_color...
Library "Word_Puzzle_Data_R2Z" This Library consists of functions for returning arrays of words starting with R through Z. By splitting the data through multiple libraries, I can import more tokens into my final compiled script, so having this data separately is extremely helpful. This library is the the container 1/3 for my database of 5 Letter words uses in...
Library "Word_Puzzle_Data_I2Q" This Library consists of functions for returning arrays of words starting with I through Q. By splitting the data through multiple libraries, I can import more tokens into my final compiled script, so having this data separately is extremely helpful. This library is the the container 1/3 for my database of 5 Letter words uses in...
Library "Word_Puzzle_Data_A2H" This Library consists of functions for returning arrays of words starting with A through H. By splitting the data through multiple libraries, I can import more tokens into my final compiled script, so having this data separately is extremely helpful. This library is the the container 1/3 for my database of 5 Letter words uses in...
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...