Machine Learning Myths
Intro
ML is powerful but often misapplied in trading due to small data, regime changes, and overfitting.
Practical checklist
- Start with simple models and robust features.
- Reserve large out-of-sample periods and test across regimes.
GOLD example
Predicting XAU/USD moves with ML needs careful feature engineering and conservative evaluation to avoid false confidence.