Elliott-KOLA Momentum Impulse Strategy

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, Forex spinning top indices (Synthetic), Major FX Pairs · Timeframes: H1, H4, M15 (Synthetics)

Thesis

This strategy assumes that significant market moves occur when impulsive Elliott Wave cycles align with volume-weighted pivot zones (KOLA), and that entry precision can be maximized by identifying the moment price breaks through short-term ATR-based volatility barriers (UT Bot). The inclusion of a Bar Count filter ensures the model only operates once these complex indicators have reached a steady state of historical data.

Components

• Indicator Sample (Bar Count Logger) (regime) — Serves as a data-integrity filter; ensures the platform has loaded sufficient history for the Elliott Wave and GOM modules to stabilize.
• GOM KOLA SIDO — Full Integration (direction) — Establishes the macro-trend direction via Supertrend and identifies institutional-grade support/resistance zones via KOLA pivots.
• UT Bot Alerts (MQL5) (entry) — Acts as the tactical execution trigger, capturing localized momentum shifts that align with the higher-level trend.
• TSI Convergence Divergence (TSI_CD) (exit) — Captures momentum exhaustion through histogram color flips, allowing for exit before price reverses against the ATR trailing stop.
• Elliott Wave [LuxAlgo] (risk) — Utilizes structural market cycles (pivots) to define the technical 'line in the sand' for stop losses and calculates position size based on the distance to the most recent wave origin.

Known failure conditions

• Price frequently hits the Elliott Wave stop-loss before the UT Bot signal produces a positive TSI color flip.
• KOLA levels fail to act as reaction zones in low-volatility environments (drift).
• Total bar count is below the minimum required for Elliott Wave ZigZag stability (e.g., < 300 bars).

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