Fractal Elliott Wave Adaptive Momentum Strategy

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

Thesis

Market trends are fractal in nature; an edge exists by entering motive Elliott sequences only when the market's fractal dimension indicates a high-efficiency trend (FRAMA filtering) and momentum (MACD) confirms the push out of a corrective phase.

Components

• Ehlers Fractal Adaptive Moving Average (FRAMA) (regime) — Acts as the trend-noise filter; only allows entries when price action exhibits strong fractal efficiency (trending) relative to the adaptive smoothing line.
• Elliott Wave [LuxAlgo] (direction) — Identifies the structural 'Motive' phase (Waves 1, 3, or 5) to ensure we are trading with the primary cycle rather than a correction.
• MACD (entry) — Provides the tactical execution trigger by identifying momentum shifts that align with the Elliott Wave direction.
• RSI Area (Histogram) (exit) — Signals exhaustion points in the motive wave to capture profits before the inevitable corrective (ABC) phase begins.
• Custom 004 Liquidity Map with Drawings (risk) — Uses the 20-period peak/trough (liquidity levels) to set hard stops at structural points where the current wave count would be invalidated.

Known failure conditions

• Elliott Wave count labels a 'Wave 4' overlap with 'Wave 1' price territory, invalidating the motive sequence.
• Price oscillates across the FRAMA line without direction while MACD generates multiple signal crosses (low-volatility chop).
• Liquidity Map levels (20-period HH/LL) are too tight for the timeframe's ATR, leading to 'stop hunts' before the wave completes.

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).