All Posts (Page 31)

The Robustness Score is a stability estimate that describes how much structural confidence can be placed in a trading model's results. It accounts for sample quality, expectancy strength, and trade frequency discipline — helping to distinguish genuinely edged models from temporarily lucky ones.

Robust trading models are not defined by one impressive backtest. They are defined by how consistently they behave when market conditions change.

Drawdown is one of the most important risk measures in quantitative trading. This article explains what drawdown means, why it matters beyond raw profit, and how it helps assess the robustness of trading models.

Many traders focus heavily on entry signals, but in systematic trading, position management often has a far greater impact on long-term model behavior. This article explains why exits, sizing, and trade handling shape performance more than entry alone.

Backtesting and walk-forward testing both use historical market data, but they answer very different questions. This article explains why static backtests can create false confidence and why rolling evaluation is more realistic in changing markets.