#MyStrategyEvolution #MyStrategyEvolution

What is My Strategy Evolution? It is a dynamic trading strategy that relies on the continuous development of rules and methods based on data analysis, machine learning, and adaptation to changing market conditions. It is commonly used in algorithmic trading to enhance performance and reduce risks.

🔍 Basic Concept:

The main idea is that static strategies become ineffective as the market changes, so they must continuously evolve based on:

- Their historical performance.

- Changes in market conditions (such as volatility, trends, liquidity).

- New real-time data.

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📌 Core Components of the Strategy:

1. Historical Analysis (Backtesting & Walk-Forward Analysis)

- Testing the strategy on historical data to assess its viability.

- Avoiding "overfitting" by testing it on different time periods.

- Using Walk-Forward Analysis (training the strategy on a period, then testing it on a new period).

2. Machine Learning (Machine Learning & AI)

- Using models such as:

- Random Forest or XGBoost to classify trading signals.

- Neural networks (LSTM) to predict price movements.

- Optimizing parameters such as:

- Entry/exit points.

- Position sizing.