Who this is for — Anyone who uses historical statistics and wants to avoid applying rules that worked yesterday to a market that behaves differently today.
A regime shift is a substantial change in market behaviour: volatility, correlations, directionality, or event response evolve and make past results less reliable. Recognising it early protects capital and confidence in the process.
In plain terms — The method is not necessarily "broken": context may have changed. Before forcing trading, you need to realign the rules.
Operational signals to monitor
Regime change is not identified by a single candle, but by a coherent set of signals. Activate operational filter and strategy suspension if needed.
- Persistent drop in setup quality versus the normal sample.
- Increase in anomalous stops due to different microstructure.
- Divergence between expected and realised performance.
Typical mistake — Denying regime change and raising exposure to "recover" — declining edge masked by apparent discipline.
Example — A breakout strategy that worked in a trending phase starts collecting false signals for three weeks in a noisy range. Instead of increasing frequency, you run a personal audit, reduce size, and suspend the worst variants until context is coherent again.
Summary card
- What it is: structural transition in market behaviour.
- What changes: reliability of recent statistics unless adapted.
- Quick check: current metrics vs plan baseline.
Gold path — Regimes module. Index: Gold path.