Backtesting Frameworks
wshobson/agentsTrading strategies need careful testing before real money is used. This skill helps you build backtesting systems that give reliable results. You learn to avoid common mistakes like look-ahead bias and survivorship bias.
Proper backtesting includes realistic transaction costs and uses separate data for training, validation, and testing. You also discover how to use walk-forward analysis to check strategy performance over time.
Anyone developing trading algorithms or validating strategies will benefit. The goal is to get honest performance estimates without hidden pitfalls.
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