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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0
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Data & Analytics
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Excellent backtesting skill with comprehensive coverage. The description clearly explains capabilities and trigger phrases for CLI agent invocation. Task knowledge is outstanding with complete step-by-step instructions, 8 pre-built strategies, detailed parameter examples, and well-documented outputs including metrics tables. Structure is clean with logical flow from setup through execution to optimization, and appropriately references external files for errors and examples. The skill provides strong novelty value by packaging complex quantitative finance functionality (Sharpe ratios, parameter optimization, multiple strategies) that would require significant tokens for a CLI agent to implement from scratch. Minor improvement areas: could slightly expand the description to mention the 8 specific strategies available, and the optimization step could include expected runtime guidance. Overall, this is a production-ready, well-documented skill that meaningfully reduces cognitive and token overhead for trading strategy validation tasks.
jeremylongshore
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