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The Backtest Persistence skill provides a standardized framework for recording trading strategy performance metrics directly into a local SQLite database. It solves the problem of transient, in-memory results by establishing a schema that tracks symbols, timeframes, model configurations, and key financial metrics like Sharpe ratio, profit factor, and maximum drawdown. This allows developers to query historical data to find top-performing models, track version history, and maintain a permanent audit trail of strategy simulations for better data-driven decision making.