Structural Volume-Momentum Oscillator Alpha

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

Thesis

Market trends are most reliable when structural shifts (ZigZag pivots) are accompanied by positive volume inflow (CMF) and trade within historical error bounds (Mean Error). By entering on short-term momentum pulses (MACD) and exiting on exhaustive momentum (Stochastic), we capture the most efficient portion of a trend leg while using structural pivots to define objective invalidation points.

Components

• ZigZag (regime) — Used to identify the long-term trend direction (higher highs/lows) to filter for high-probability setups. It establishes the macro regime.
• Chaikin Money Flow (CMF) (direction) — Confirms that volume is supporting the price trend, ensuring that momentum is backed by institutional accumulation or distribution.
• MACD (entry) — Acts as the primary execution trigger by capturing short-term momentum shifts within the confirmed larger trend.
• Stochastic Oscillator (exit) — Identifies overextended momentum states for exit, capturing the meat of the move before the inevitable mean reversion.
• ZigZag+ v5 (risk) — Used to define structural support and resistance levels for dynamic stop loss placement and trade invalidation.
• Mean Error (ME) (confirmation) — Filters out periods of abnormal price deviation or noise where the current price has drifted too far from its historical bias.

Known failure conditions

• Consecutive signals where ZigZag legs are truncated by rapid V-reversals.
• Periods where Mean Error remains near zero despite high volatility (volatility expansion without directional bias).
• Choppy price action leading to frequent MACD whipsaws and CMF neutrality.

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