Adaptive Cycle-Volume Trend Hybrid

Family: hybrid · Regime: trending · Complexity: medium · Asset classes: Equities, FX, Crypto · Timeframes: H1, H4, D1

Thesis

Sustainable market trends occur when price momentum (SuperTrend) is validated by institutional accumulation (WAD). By entering these trends at the start of a new adaptive cycle (SAM), we capture the highest-velocity portion of the move while using structural magnets (Q-Levels) and natural retracements (Fibonacci) to define logical risk/reward boundaries. This assumes that volume-backed trends respect cyclical momentum more than price-only trends.

Components

SuperTrend (regime) — Acts as the primary trend filter to ensure entries are only taken in the direction of established volatility-adjusted momentum.
Williams Accumulation/Distribution (WAD) (direction) — Confirms that price movement is backed by volume-weighted pressure (accumulation vs. distribution) to filter out low-liquidity spikes.
Smoothed Adaptive Momentum (entry) — Uses a Homodyne Discriminator to time entries based on the current dominant market cycle, providing a more responsive trigger than static-period oscillators.
Q-Levels V2.2 (exit) — Provides high-conviction structural targets (Gamma walls or institutional SR) for profit taking based on external market data.
Auto Fibonacci (risk) — Determines logical stop-loss placement based on recent swing retracement levels (0.618) and scales position size according to this risk distance.

Known failure conditions

The Homodyne Discriminator fails to find a dominant cycle (e.g., in hyper-volatile news events), leading to 'cycle smearing'.
The input text for Q-Levels is not updated, causing the strategy to target stale price levels.
WAD and Price show persistent divergence, indicating the trend is exhausted despite the SuperTrend signal.

Explore the full interactive blueprint with parameter ranges and evidence on WOBR StrategyVerse, or generate this strategy as an MT4/MT5 Expert Advisor with QuantMogul AI Engine (free download).