Adaptive Cycle & Trend Strategy

28 בדצמ׳ 2025

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.

10 בינו׳

הערות שחרור

The Adaptive Cycle & Trend Strategy is a regime-based, multi-asset analytical framework designed for long-term market evaluation on the weekly timeframe (1W).

The strategy classifies market environments exclusively based on price behavior and volatility, without incorporating fundamental data or external research inputs. Its primary objective is to identify market cycles, structural transitions, and volatility regimes across different asset classes.

Core Concept:

Markets behave differently depending on volatility and structural conditions.
This strategy dynamically adapts its internal logic to changing regimes rather than applying static assumptions across all market phases.

Key Characteristics

Regime-based market classification

Volatility-driven risk assessment

Price-action–only methodology

Asset-agnostic framework

Designed for long-term cycle and trend analysis

Risk Framework:

The displayed risk level reflects market risk derived from volatility, not the quality, valuation, or fundamentals of the underlying asset.
It is intended to support contextual market assessment and risk awareness.

Market Coverage:

Cryptocurrencies

Stocks

Indices

Commodities

Timeframe:

Optimized for weekly charts (1W)

Disclaimer:

This script is provided for analytical and educational purposes only and does not constitute financial advice. Past market behavior does not guarantee future results.