Use data, statistics, and AI tools without letting a polished model hide weak assumptions.
AI can surface candidates, summarize research, and flag patterns. The decision — whether to act, with what size, and when to stop — is still yours. Learn the boundary.
A language model can invent a company's revenue figure or a 'widely known' market statistic that never existed, in fluent, confident prose. Learn what hallucinations are, why they happen, and how to check them.
AI is strong at summarizing, explaining, and coding help — tasks where text goes in and text comes out. It is not a price predictor. Learn the practical rules for using it without trusting it.
Look-ahead bias happens when a test uses information that was not available at the moment being tested, like a revised figure or a future price. It makes backtests look better than they would have been live.
Walk-forward testing validates a strategy by repeatedly fitting on one window and testing on the next. It exposes overfitting because the tested period was never part of the tuning.
A backtest can look far better than live results. Overfitting, look-ahead bias, transaction costs, and execution differences all widen the gap. Learn where it comes from.
