Roman Poshtar / 프로필
- 정보
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10+ 년도
경험
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2
제품
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4023
데몬 버전
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3
작업
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0
거래 신호
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0
구독자
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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
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
https://www.mql5.com/ru/market/product/118772

