All Posts (Page 20)

Volatility clustering is one of the most consistent statistical features of financial markets. This article explains what it is, why it matters for trading models, and how darwintIQ's regime detection takes it into account.

Bollinger Bands are one of the entry logic types available inside darwintIQ trading models. This article explains how the bands work, the two distinct ways they're used, and the regimes where each approach earns its keep.

SP500 currently reads bullish, with regime and model leadership broadly aligned.

DAX currently reads fragile bullish, with regime and model leadership broadly aligned. Main risk: Market structure looks unstable.

Out-of-sample testing is the part of validation that separates a model with a real edge from one that has only memorised the past. This article covers how it works, why it's the minimum bar for serious model evaluation, and how darwintIQ's rolling window approach extends the idea further.