Real-Time Market Regime Detection
Markets shift between expansion, contraction and consolidation. A signal that ignores regime is a signal that ignores context. TRADEMEM uses dedicated tag models to classify the current state — bull, bear, or stagnant — so every prediction carries environmental awareness.
Why Regime Detection Changes Everything
A buy signal in a confirmed bull market means something different from a buy signal in a bear regime. Without regime awareness, signals are one-dimensional. TRADEMEM's regime tags add a second dimension that fundamentally changes how signals should be interpreted.
How Regime Classification Works
Dedicated tag models are trained alongside the main prediction model. They classify market conditions into bull, bear or stagnant using the same 79-feature pipeline. The regime tag is computed independently from the buy/hold/sell decision.
Stagnant Override Logic
When the dominant regime tag is stagnant and the model suggests buying, TRADEMEM overrides to hold — signaling that the model sees opportunity but the environment doesn't support aggressive positioning. The original prediction remains visible for transparency.
Regime-Aware Risk Management
If all tracked timeframes show bear regime tags combined with sell decisions, the consolidated signal reflects maximum caution. Regime detection isn't just context — it's an active risk management layer.
FAQ
What regimes does TRADEMEM detect?
Three primary regimes: bull (expansion), bear (contraction), and stagnant (consolidation/range-bound).
Does regime detection work across asset classes?
Yes. Regime classification applies to stocks, crypto, ETFs and currencies independently.
How does regime affect the final decision?
Regime tags can override or modify predictions. For example, a stagnant regime overrides buy predictions to hold. Bear regimes combined with sell signals strengthen the overall sell conviction.