High-Fidelity Backtesting: The Imperative for Robust Algorithmic Validation with Titan Edge L1
Executive Strategy Summary In the intricate landscape of quantitative finance, the efficacy of any trading algorithm hinges critically upon the fidelity of its backtesting methodology. Low-fidelity backtests, often relying on interpolated or aggregated data, introduce significant look-ahead bias and fail to replicate true market microstructure, leading to substantial disparities between simulated and live performance. The […]