Newdigital
Sergey Golubev
Designing a Unified Order Execution Gateway Class in MQL5 - https://www.mql5.com/en/articles/23532
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Sergey Golubev
From Novice to Expert: Systematic Profit Conservation Using Candle Range Theory - https://www.mql5.com/en/articles/23298
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Sergey Golubev
Automating Trading Strategies in MQL5 (Part 52): The tCISD Model with SSMT and Quarterly Theory - https://www.mql5.com/en/articles/23549
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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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Sergey Golubev
Quick Integration of a Large Language Model into MetaTrader 5 (Part I): Building the Model - https://www.mql5.com/en/articles/20185
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Sergey Golubev
The Avellaneda-Stoikov Model: Inventory-Aware Quoting for Two-Sided Strategies - https://www.mql5.com/en/articles/23571
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Sergey Golubev
Price Action Analysis Toolkit Development (Part 77): Building a Searchable Indicator Panel for MetaTrader 5 - https://www.mql5.com/en/articles/23544
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Sergey Golubev
New MetaTrader 5 Platform Build 6180: More AI Features - https://www.mql5.com/en/forum/515552
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Sergey Golubev
A Team of AI Agents with Profit-Based Rotation: The Evolution of a Living Trading System in MQL5 - https://www.mql5.com/en/articles/20071
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Sergey Golubev
Feature Engineering for ML (Part 11): Fractal Features in Python -
https://www.mql5.com/en/articles/23565
https://www.mql5.com/en/articles/23565
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Sergey Golubev
Integrating MQL5 with Data Processing Packages (Part 10): Deploying Python AutoML Pipelines for Strategy Testing - https://www.mql5.com/en/articles/23177
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Sergey Golubev
Implementing Anchored VWAP Indicator in MQL5: A Step-by-Step Guide -
https://www.mql5.com/en/articles/22963
https://www.mql5.com/en/articles/22963
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Sergey Golubev
Neural Networks in Trading: A Cross-Domain Time Series Forecasting Framework (Conclusion) - https://www.mql5.com/en/articles/18447
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Sergey Golubev
Measuring broker execution quality in MQL5: Why your live account doesn't match the backtest - https://www.mql5.com/en/articles/22998
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Sergey Golubev
MCMC Sampling Methods: The Slice Sampling Algorithm -
https://www.mql5.com/en/articles/20163
https://www.mql5.com/en/articles/20163
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Sergey Golubev
A Reinforcement Learning System for Algorithmic Trading in MQL5 -
https://www.mql5.com/en/articles/20122
https://www.mql5.com/en/articles/20122
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Sergey Golubev
How We Built the Most Powerful Machine Learning-Powered Trading Platform: The Evolution of MQL and MetaTrader Through Archives, Forums, and Releases - https://www.mql5.com/en/articles/22768
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Sergey Golubev
Neural Networks in Trading: A Cross-Domain Time Series Forecasting Framework (TimeFound) -
https://www.mql5.com/en/articles/18414
https://www.mql5.com/en/articles/18414
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Sergey Golubev
Exporting Custom Indicator Buffers to CSV for Python Backtesting Pipelines -
https://www.mql5.com/en/articles/23499
https://www.mql5.com/en/articles/23499
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Sergey Golubev
Building a Volume-Based Liquidity Heatmap Indicator in MQL5 -
https://www.mql5.com/en/articles/23550
https://www.mql5.com/en/articles/23550
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