{"skill":{"slug":"security-quant-backtest","displayName":"Security Quant Backtest","summary":"AI-powered quantitative backtesting tool for China A-share strategies, supporting design, historical tests, performance attribution, walk-forward analysis, a...","tags":{"latest":"2.0.0"},"stats":{"comments":0,"downloads":70,"installsAllTime":0,"installsCurrent":0,"stars":1,"versions":1},"createdAt":1778509877114,"updatedAt":1778509909431},"latestVersion":{"version":"2.0.0","createdAt":1778509877114,"changelog":"Version 2.0.0 — Major update: introduces a fully redesigned, AI-powered quantitative backtesting laboratory for China A-share strategies.\n\n- Adds new, modular backtesting engine supporting historical simulation, trade execution, and comprehensive performance reporting.\n- Integrates solutions for key industry challenges: future leakage, overfitting, slippage, survivorship bias, and execution gaps.\n- Provides built-in support for strategy design, performance attribution, walk-forward analysis, and Monte Carlo simulation.\n- Now includes English and Chinese documentation with detailed usage instructions and strategy examples.\n- Designed for quantitative analysts, algorithmic traders, and Python-based backtesting workflows.","license":"MIT-0"},"metadata":null,"owner":{"handle":"gechengling","userId":"s17ewqc4f2s6gpcbm88hy7fgvn85kg1g","displayName":"lingfeng-19","image":"https://avatars.githubusercontent.com/u/8140166?v=4"},"moderation":null}