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A mutation is a significant change in the EA’s market fingerprint, flagged when the cosine or normalized L2 distance between the previous and current DNAMetrics exceeds the set thresholds—and usually means a regime shift (e.g., ATR, spikes, session dominance, or retracement behavior changed). Treat it as an early warning: inspect which metrics moved, tighten or pause execution (smaller size, wider ATR stops, higher signal threshold), and validate the new profile with a few recalculations

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In the previous article "Developing a Replay System (Part 77): New Chart Trade (IV), I explained the subject as thoroughly as possible, while trying not to overcomplicate matters, even though this is often a rather complex topic. The question at hand is: how do you develop a communication protocol? This is essential if you want to transfer information between different applications or programs, whether they are running in the same environment or not. In our specific case, we want the Chart

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Market Profile is not a traditional technical indicator and it does not provide direct trading signals. But it complements a trading system, allowing traders to arrange the data and determine who controls the market, what fair value is, and what factors influence price movements.

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Price forecasting and market trend prediction are central tasks for successful trading and risk management. High-quality price movement forecasts enable traders to make timely decisions and avoid financial losses. However, in highly volatile markets, traditional machine learning models may be limited in their capabilities.

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The idea was to study a lot of historical data using an algorithm that would find repeating patterns and evaluate their performance. Sounds interesting? In reality, the implementation turned out to be not so simple.

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