Key Components : 📍 Natural Logarithm Function : The script starts by employing a custom Taylor Series approximation for natural logarithms. This function serves to calculate entropy with higher accuracy than conventional methods, laying the foundation for further calculations. 📍 Entropy Calculation : The core of this indicator is its entropy function. It employs...
Adaptive Two-Pole Super Smoother Entropy (Math) MACD is an Ehlers Two-Pole Super Smoother that is transformed into an MACD oscillator using entropy mathematics. Signals are generated using Discontinued Signal Lines. What is Ehlers; Two-Pole Super Smoother? From "Cycle Analytics for Traders Advanced Technical Trading Concepts" by John F. Ehlers A...
This script performs the basic Shannon entropy on the closing value of the stock. Additionally, it performs the trailing first and second derivatives of the Shannon Entropy, giving you more information about its movement. You can change the "Source" to be whatever value you like.
Absolute Mean Entropy with Alpha Squared Entropy Price Percentile Entropy The history of the word ―entropy can be traced back to 1865 when the German physicist Rudolf Clausius tried to give a new name to irreversible heat loss, what he previously called ―equivalent-value. The word ―entropy was chosen because in Greek, “en+tropein” means “content...
function to retrieve Gini Impurity / Gini Index. reference: - victorzhou.com - en.wikipedia.org
functions for shannon's entropy reference: - en.wiktionary.org - machinelearningmastery.com
An indicator that represent in 3 line my Volume Entropy Divergence Heatmap indicator. I've use a very basic sum with some weights like this : Long therm > Mid therm > short Therm, But short and mid therm can still have influence. Some people did request this indicator to be able to use the heatmap in there indicators with the new tradingview link function. There...
A divergence between volume and price indicator, based on custom filter function. Each lines represent a length on wich the divergence is calculated. It goes to 60 len a the base to 2000 at the high. ( You have to decrease the timeframe if your looking on a new chart). Colors represent a level of the oscillator who is calculated for each lengths. What can you...
This indicator is the Bernoulli Process or Wikipedia - Binary Entropy Function . Within Information Theory, Entropy is the measure of available information, here we use a binary variable 0 or 1 (P) and (1-P) (Bernoulli Function/Distribution), and combined with the Shannon Entropy measurement. As you can see below, it produces some wonderful charts and signals,...
Version 2, Shannon Entropy This update includes both a deadband (Plotting Optional) and PercentRank Indicating. Here is a unique way of looking at your price & volume information. Utilize the calculated value of "Shannon Entropy". This is a measure of "surprise" in the data, the larger the move or deviation from the most probable value, the higher the new...
Here is a unique way of looking at your price & volume information. Utilize the calculated value of "Shannon Entropy". This is a measure of "surprise" in the data, the larger the move or deviation from the most probable value, the higher the new information gain. What I think is so interesting about this value, is the smoothness that it displays the information...
Description. ------------- P-Signal v.2.0 is a modified and improved version of an earlier published P-Signal. This version allows to observe the signal image for a multi frame - a specific set of periods. In this version it is {T, 2T, 4T, 8T, 16T}, where T equals the “working” time i.e. period for which a chart is observed. For example, if T=5m, one can...