Out-of-sample testing

1. Mean Variance Optimization Gotchas (Hidden Dangers)
2. Survivorship Bias in Cognitive Modeling (Interpreted)
3. Information Ratio Gotchas (Hidden Dangers)
4. In-Sample Performance Vs. Out-of-Sample Performance (Explained)
5. In-Sample Vs. Out-of-Sample Data (Clarified)
6. Sortino Ratio Gotchas (Hidden Dangers)
7. Forecast Accuracy Overestimation: A Pitfall (Unraveled)
8. Win Rate Gotchas (Hidden Dangers)