Roman Poshtar
Roman Poshtar
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Roman Poshtar 출시돈 제품

Majors CatBoost Clusters Real   EA operates on the CatBoost algorithm using clustering methods.   CatBoost   is fed   a set of features based on price and moving averages (MA)   . What exactly: Distances Price - MA (for different periods) MA − MA → show the deviation and strength of the trend Normalization Division by price or MA → makes features scale-independent Window statistics (WINDOWS) Average, std, max, min → reflects volatility and behavior over a period Lags

Roman Poshtar 출시돈 제품

Majors Perceptron Distance   works on a perceptron recruitment algorithm. The selection and construction of features for training are described in detail in my articles, which you can read below: Experiments with neural networks (Part 1): Revisiting geometry   https://www.mql5.com/en/articles/11077 Experiments with neural networks (Part 2): Smart neural network optimization   https://www.mql5.com/en/articles/11186 Experiments with neural networks (Part 3): Practical application

Roman Poshtar
Roman Poshtar
Советник CatBoost Angle MA 3 ST V1 обновлен до версии в 1.2
https://www.mql5.com/ru/market/product/118772