Evidence-based trading education
We translate strategy research into practical checks: bias detection, robustness, and the methods that keep a trading idea honest under out-of-sample pressure.
Look-ahead bias in backtests
Why a backtest that peeks into the future is a surprisingly common failure mode and how to test for it properly.
Overfitting a trading strategy
What overfitting looks like in practice and how walk-forward validation protects you from fragile parameter tuning.
Walk-forward analysis guide
A practical framework for validating strategy quality without turning your research into a curve-fit artifact.
Survivorship bias in trading backtests
Why testing only today's assets hides the strategies that failed and inflates your results.
Monte Carlo vs walk-forward testing
Two robustness tests that answer different questions about your strategy.
Common Pine Script backtest pitfalls
The frequent mistakes in Pine Script backtests that inflate results.