{"skill":{"slug":"strategy-backtest","displayName":"Strategy Backtest","summary":"Quantitative strategy backtesting—implement, run, and tune trading rules on historical data; performance metrics (CAGR, max drawdown, Sharpe, win rate) and s...","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":436,"installsAllTime":2,"installsCurrent":1,"stars":0,"versions":1},"createdAt":1774426448338,"updatedAt":1774427215511},"latestVersion":{"version":"1.0.0","createdAt":1774426448338,"changelog":"- Initial release: backtest and optimize systematic trading strategies using historical data.\n- Supports metrics like CAGR, max drawdown, Sharpe ratio, and win rate (based on actual output).\n- Command-line interface for backtesting, parameter optimization, and reporting.\n- Integrates with Backtrader for core backtest logic.\n- Includes guidance on reproducibility, transparency, and risk caveats.","license":"MIT-0"},"metadata":null,"owner":{"handle":"mikeclaw007","userId":"s173n2mnssqbs3ebpdz3b52ssh83gshx","displayName":"mikeclaw007","image":"https://avatars.githubusercontent.com/u/265502950?v=4"},"moderation":{"isSuspicious":true,"isMalwareBlocked":false,"verdict":"suspicious","reasonCodes":["suspicious.llm_suspicious"],"summary":"Detected: suspicious.llm_suspicious","engineVersion":"v2.2.0","updatedAt":1774427215511}}