#forward-testing
2 articles with this tag.
Rolling Window Evaluation — Why a Trading Model Has to Re-Earn Its Rank Every Few Hours
A single backtest tells you how a model did once. A rolling window tells you how it is doing now.
Rolling window evaluation scores a trading model on recent data only and keeps updating. See why it beats a single backtest and how darwintIQ applies it.
10/14/2026
Out-of-Sample Testing: The Validation Step Most Backtests Skip
If a model has seen the data it's being tested on, the result is not a test.
Out-of-sample testing separates a real trading edge from one that only memorised the past. Here's how it works and why it's the minimum bar for validation.
5/13/2026