Quant Study 00 — pandas Basics · Trend Following vs Mean Reversion · The 4 Backtest Biases · Fake Alpha
Starting a quant learning series. pandas Series/DataFrame, loc/iloc, the warm-up period (NaN), silent data corruption from adjusted close prices, trend following (MA, golden/dead cross) vs mean reversion, the 4 backtest biases (look-ahead, overfitting, unrealistic trading costs, survivorship bias), and why you need to look at a distribution instead of a single point to filter out fake alpha (B&H beat rate / median alpha / market exposure / walk-forward).
