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Research Design and Backtesting Workshop
Learn how to construct a backtest that avoids common sources of bias.
Prerequisites: Basic experience with Python and pandas
- Research questions, hypotheses, and benchmarks
- Look-ahead bias, signal alignment, and data leakage
- Transaction costs and out-of-sample testing
- A corrected, reproducible backtest