Adaptive Cycle & Trend Strategy

The Adaptive Cycle & Trend Strategy is a fully rules-based trading strategy designed to adapt dynamically to changing market conditions.

Instead of relying on a single static exit model, the strategy continuously evaluates market volatility and trend structure to determine the most appropriate exit behavior for the current regime. This allows it to respond differently in trending environments than in high-volatility or corrective phases.

The strategy is optimized for the 1W timeframe and focuses on capturing meaningful market cycles rather than short-term noise. Entries and exits are generated algorithmically and remain consistent across assets, making the system applicable to both low-volatility markets (such as Bitcoin) and higher-volatility instruments.

Key characteristics:

Adaptive exit logic based on volatility regimes

Cycle- and trend-aware trade management

Fully rule-based, no discretionary inputs

Designed for higher timeframes (1W, 1M) and long-term market structure

No indicators required for interpretation

This strategy is intended for systematic analysis and backtesting purposes only. It does not constitute financial or investment advice.