Newdigital
Sergey Golubev
Self-Optimizing Expert Advisors in MQL5 (Part 19): Parameter Optimization For Time-Lagged Independent Components Analysis (2) -
https://www.mql5.com/en/articles/24032
https://www.mql5.com/en/articles/24032
Sergey Golubev
Zero-Copy Tick Streaming (Part 1): Bridging MetaTrader 5 to Shared Memory with the Arrow C Data Interface - https://www.mql5.com/en/articles/24183
Sergey Golubev
First Fractal Breakout — Intraday Strategy, Expert Advisor and Backtesting -
https://www.mql5.com/en/articles/23575
https://www.mql5.com/en/articles/23575
Sergey Golubev
From Basic to Intermediate: Queues, Lists, and Trees (III) -
https://www.mql5.com/en/articles/16628
https://www.mql5.com/en/articles/16628
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1
Sergey Golubev
Machine Learning Under Constraint (Part 1): A Configurable Rule Set for Prop-Firm Position Sizing - https://www.mql5.com/en/articles/24237
Sergey Golubev
From Basic to Intermediate: Queues, Lists, and Trees (II) - https://www.mql5.com/en/articles/16558
Sergey Golubev
Price Action Analysis Toolkit Development (Part 81): Adding Persistent Historical Bookmarks to an MQL5 Navigator - https://www.mql5.com/en/articles/24023
Sergey Golubev
From Basic to Intermediate: Queues, Lists, and Trees (I) - https://www.mql5.com/en/articles/16491
Sergey Golubev
Markov Chain Monte Carlo Sampling Methods: The HMC Algorithm -
https://www.mql5.com/en/articles/20590
https://www.mql5.com/en/articles/20590
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1
Sergey Golubev
Neural Networks in Trading: Unraveling Structural Components (SCNN) -
https://www.mql5.com/en/articles/18950
https://www.mql5.com/en/articles/18950
Sergey Golubev
Survival Analysis for Trade Exits: A Discrete-Time Competing-Risks Model in MQL5 - https://www.mql5.com/en/articles/24106
Sergey Golubev
United States Nonfarm Payrolls - https://www.mql5.com/en/economic-calendar/united-states/nonfarm-payrolls
(for more indicators by source code - look at this channel: https://www.mql5.com/en/channels/forecast )
(for more indicators by source code - look at this channel: https://www.mql5.com/en/channels/forecast )
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2
Sergey Golubev
Reinforcement Learning Meets MetaTrader 5: A Complete Pipeline for Training, Validating and Honestly Evaluating a Gold Trading Bot - https://www.mql5.com/en/articles/21314
Sergey Golubev
Combining LLM, CatBoost, and Quantum Computing into a Unified Trading System - https://www.mql5.com/en/articles/20535