Sergey Golubev / 프로필

Aleksey Vyazmikin # : I didn't understand how the markup of the target is done in the proposed method, how the link to predictors is established. Why I want something meaningful - because my task is

How to build and optimize a volatility-based trading system (Chaikin Volatility - CHV) We'll cover all of this in the following topics: Chaikin volatility: to understand the most important

Population optimization algorithms: Bacterial Foraging Optimization - Genetic Algorithm (BFO-GA) The BFO-GA hybrid optimization algorithm combines two different optimization algorithms: the foraging

Overcoming ONNX Integration Challenges ONNX (Open Neural Network Exchange) revolutionizes the way we make sophisticated AI-based mql5 programs. This new technology to MetaTrader 5 is the way forward

Population optimization algorithms: Evolution Strategies, (μ,λ)-ES and (μ+λ)-ES The name "Evolutionary Strategies" may be misleading, as researchers might think it is a general name for a class of

Systematic Trading: A unique new method for designing trading and investing systems This is not just another book with yet another trading system. This is a complete guide to developing your own

Color buffers in multi-symbol multi-period indicators We continue the development of multi-symbol, multi-period indicators which we started in the previous article . A single-color indicator buffer is

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MQL5 Wizard Techniques you should know (Part 16): Principal Component Analysis with Eigen Vectors Principal Component Analysis (PCA) is the focusing on only the ‘principal components’ among the many

News Trading Made Easy (Part 1): Creating a Database In this article, we will learn to create a database in which we will store data from the MQL5 Economic Calendar. This data can be used later, in

Population optimization algorithms: Changing shape, shifting probability distributions and testing on Smart Cephalopod (SC) In this article, we will look at various types of probability distributions

Neural networks made easy (Part 66): Exploration problems in offline learning As we move along the series of articles devoted to reinforcement learning methods, we are facing the question related to

AUD/USD Intra-Day Fundamentals : Australia Employment Change and range price movement 2024-04-18 01:30 GMT | [AUD - Employment Change ] past data is 11 7.6K , forecast data is 20.3K , actual data is

Intra-Day Fundamentals - Dollar Index , USD/CNH and Brent Crude Oil : United States Retail Sales 2024-04-15 12:30 GMT | [USD - Retail Sales ] past data is 0.9%, forecast data is 0.4%, actual data is

MQL5 Wizard Techniques You Should Know (Part 15): Support Vector Machines with Newton's Polynomial Support Vector Machines (SVM) is a machine learning classification algorithm. Classification is

Intra-Day Fundamentals - EUR/USD , USD/CAD and Dax Index : United States Consumer Price Index (CPI) 2024-04-10 12:30 GMT | [USD - CPI ] past data is 0.4% , forecast data is 0.2%, actual data is 0.4%

Nikolai Semko # : Значит, я остался непонятым. Чтобы было понятно, Вот пример периодонезависимого индикатора, который сам определяет (распознает) периоды: как видно на всех ТФ показывает одно и то

Candle ZigZag - indicator for MetaTrader 5 Candle ZigZag is an indicator which changes its leg if a candlestick color changes It supports Period of 1 while default ZigZag in Example folder does not

Build Self Optmising Expert Advisors in MQL5 Opting for MQL5's matrix and vector capabilities over alternatives like ONNX and Python has considerable benefits. Using an ONNX model would require

Intra-Day Fundamentals - GBP/USD , NZD/USD and GOLD (XAU/USD) : United States Nonfarm Payrolls 2024-04-05 12:30 GMT | [USD - Non-Farm Employment Change ] past data is 270K , forecast data is 212K