Urgency-Flow Confluence System
Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, Forex, Crypto · Timeframes: 15m, 1h, 4h
Thesis
Market trends are most tradable when statistical 'Urgency' (price velocity) aligns with institutional volume accumulation. By using a diagnostic UDT layer to ensure data integrity and a 10-layer confluence score for exit timing, we can capture impulsive moves while filtering out low-conviction price action that lacks relative volume (RVOL) or money flow (CMF) support.
Components
- Local non-scalar UDT typed-na history diagnostic (regime) — Acts as a 'Data Integrity' gatekeeper; ensures that the user-defined type history is fully populated before allowing trade execution, preventing signals based on incomplete bar data.
- Ghost Channels [mph1nance] (direction) — Provides the directional bias and a proprietary 'Urgency' score to identify impulsive moves within a statistically defined trend corridor.
- Absolute Strength Histogram (ASH) (entry) — Identifies the precise moment bullish momentum outweighs bearish pressure via the differential of smoothed components.
- IAE — Technical Confluence Score (exit) — Aggregates 10 layers of technical data into a single exhaustion/strength score for multi-modal exit timing.
- RVOL (Relative Volume) (risk) — Identifies high-conviction participation; used to scale risk and validate the breakout intensity.
- Chaikin Money Flow (CMF) (confirmation) — Confirms that price movement is supported by actual accumulation/distribution rather than low-volume noise.
- Frankenstein Ultimate Pro - ATM Logic (volatility_filter) — Filters out low-volatility environments where Ghost Channels are prone to 'sawtooth' behavior; ensures momentum is above a TEMA/LSMA baseline.
Known failure conditions
- Price remains inside the Ghost Channel midline with Urgency Score < 20 for more than 50 bars (dead market).
- IAE Confluence score remains perpetually mid-range (40-60) despite price movement (decoupling of technical layers).
- High frequency of UDT 'na' plots, indicating data feed instability or platform-specific memory allocation errors.
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