Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity curves, and optimizes strategy parameters. Use when user wants to test a trading strategy, validate signals, or compare approaches. Trigger with phrases like "backtest strategy", "test trading strategy", "historical performance", "simulate trades", "optimize parameters", or "validate signals".
7.6
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Data & Analytics
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Excellent backtesting skill with comprehensive coverage. The description clearly explains when and how to invoke the skill with specific trigger phrases. Task knowledge is outstanding with complete step-by-step instructions, 8 built-in strategies, detailed parameter examples, and well-organized references to implementation files. Structure is professional with clear sections, tables for metrics and strategies, and logical separation of concerns (main guide in SKILL.md, details in referenced files). Novelty is strong - backtesting with optimization, multiple strategies, and comprehensive metrics would require significant tokens and API calls for a CLI agent to replicate. Minor improvement opportunity: could add a quick-start command for absolute beginners. Overall, this is a production-ready skill that meaningfully reduces complexity for trading strategy validation tasks.
jeremylongshore
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