Look-Ahead Bias in Backtesting: Can AI Models Know Too Much?
Your backtest looks great. But did it know too much? Impressive results can come from the wrong place. One of the subtlest risks in quantitative research is look-ahead bias: trading on information that wasn’t available when the simulated decision was made. The data may be accurate and the model well built, yet if the simulation […]