Statistical Drift & Adaptive Volume Convergence (SDAVC)

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, High-Volume FX Pairs (e.g., EURUSD, GBPUSD), Liquid Futures (Gold, Oil) · Timeframes: 30M, 1H

Thesis

Market trends are non-random events that can be statistically isolated by measuring drift significance. By aligning this statistical drift with adaptive cyclic momentum (SAM) and validating breakouts with volume-weighted pattern matching (KNN), we can identify institutional-led moves. Using Darvas Boxes ensures we only enter from structural consolidation, and VWAP serves as the natural equilibrium point for intraday profit-taking.

Components

Known failure conditions

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