{"skill":{"slug":"quant-trading-backtrader","displayName":"quant-trading-backtrader","summary":"Build, backtest, and optimize quantitative trading strategies in Python using Backtrader with support for indicators, risk management, and reporting.","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":993,"installsAllTime":7,"installsCurrent":7,"stars":1,"versions":1},"createdAt":1772380201044,"updatedAt":1777525502759},"latestVersion":{"version":"1.0.0","createdAt":1772380201044,"changelog":"Initial release of quant-trading-backtrader.\n\n- Build and backtest quantitative trading strategies using the Backtrader framework in Python.\n- Includes structured examples for indicator-based strategies, risk management (stop-loss, take-profit, position sizing), and reporting (trade logs, PNL).\n- Supports flexible data input (CSV, pandas DataFrame).\n- Provides template code and best practices for robust, research-driven strategy development.\n- Example strategies included, such as a basic SMA crossover with stop-loss.","license":null},"metadata":null,"owner":{"handle":"gmsx000-cloud","userId":"publishers:gmsx000-cloud","displayName":"gmsx000-cloud","image":"https://avatars.githubusercontent.com/u/260407988?v=4"},"moderation":{"isSuspicious":true,"isMalwareBlocked":false,"verdict":"suspicious","reasonCodes":["suspicious.llm_suspicious"],"summary":"Detected: suspicious.llm_suspicious","engineVersion":"v2.4.5","updatedAt":1777525502759}}