Nang explains why traditional machine-learning pitfalls are amplified in finance: limited data, regime shifts, and the temptation to over-customise models for specific assets.
Nang explains why intuition is a subconscious synthesis of data, the limits of out-of-sample R-squared, and how over-confidence can be dangerous.