Discussing the article: "Neural Networks in Trading: Skill Hierarchy for Adaptive Agent Behavior (Final Part)"
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Check out the new article: Neural Networks in Trading: Skill Hierarchy for Adaptive Agent Behavior (Final Part).
We now arrive at one of the most critical stages: evaluating the effectiveness of the proposed approach on real historical data. As previously noted, training was performed using full-year 2024 market data.
To objectively assess the quality of the generated policies, the trained models were tested in the MetaTrader 5 Strategy Tester using out-of-sample data from January to March 2025. All other parameters, including market conditions, timeframes, and simulation settings, remained unchanged to ensure consistency and comparability.
The testing results are presented below.
Author: Dmitriy Gizlyk