Sergey Golubev / Профиль

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

Many traders asked about Average Day Range (ADR) and what is the different between this Average Day Range (ADR) and Average True Range (ATR), so please find the indicator with the desciption about -

Intra-Day Fundamentals - USD/JPY , AUD/USD and Dollar Index (DXY) : ISM United States Manufacturing Purchasing Managers Index (PMI) 2024-04-01 14:00 GMT | [USD - ISM Manufacturing PMI ] past data is

Gain An Edge Over Any Market Introduction: This article aims to demonstrate how to easily apply alternative data in trading strategies

Volume Average percent - indicator for MetaTrader 5 This version is a sort of normalized version - since it shows Volume as a percent compared to the Average Volume over a chosen period. With

Neural networks made easy (Part 65): Distance Weighted Supervised Learning (DWSL) Behavior cloning methods, largely based on the principles of supervised learning, show fairly good results. But their

Neural networks made easy (Part 63): Unsupervised Pretraining for Decision Transformer (PDT) PDT jointly learns an embedding space of future trajectory as well as a future prior conditioned only on

Neural networks made easy (Part 62): Using Decision Transformer in hierarchical models Previously, we considered hierarchical models for solving problems with, so to speak, the classical approach of

Дружеское сэлфи. Миджорни

MQL5 Wizard Techniques you should know (14): Multi Objective Timeseries Forecasting with STF This paper on Spatial Temporal Fusion (STF) piqued my interest on the subject thanks to its two-sided

Коты учатся пекарскому делу. Миджорни

Master MQL5 from beginner to pro (Part I): Getting started with programming I sometimes receive private messages from those who want to learn how to create their own Expert Advisors or indicators

Cross-validation and basics of causal inference in CatBoost models, export to ONNX format In the previous articles, I have described various ways to use machine learning algorithms to create trading

В пятницу 22 марта 2024 года будет выпущена обновленная версия платформы MetaTrader 5. В новой версии расширены возможности работы с событиями клавиатуры в MQL5-программах. Теперь разработчики могут получать события отжатия клавиш, а также события