KNN-Volumatic Liquidity Oscillator

Family: hybrid · Regime: trending · Complexity: high · Asset classes: FX, Equities, Crypto · Timeframes: 15m, 1h, 4h

Thesis

Institutional order flow creates significant price-volume clusters (Volumatic S/R) that act as liquidity magnets. By classifying the market regime using a K-Nearest Neighbors approach on volume-weighted prices, we can identify when these clusters are likely to act as springboards rather than break-points. The edge exists because price often 'retests' high-volume nodes before a trend continuation, and confirming this with ADL slope ensures we are trading with, not against, the accumulation cycle.

Components

Known failure conditions

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