Regime Detection in Crypto Markets

Market regimes—trending, mean-reverting, high or low volatility—affect the performance of any strategy. At NeuroTrade, we train models to detect regime shifts and adjust our signal engine accordingly.

Why regime matters

A strategy that works in a trending market may fail in a choppy, range-bound environment. By embedding regime awareness into our pipeline, we aim to deliver signals that are appropriate for the current market state.

Technical approach

We use a combination of feature engineering (volatility, momentum, order book imbalance) and neural modules to produce regime embeddings. These feed into our direction and confidence models, so outputs are conditioned on the detected regime.

This post is a high-level overview; we will share more technical details in future articles.