Mega-Cap Proxy & Liquidity Turnover Hybrid

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, Equity Index CFDs · Timeframes: H1, D1

Thesis

Price breakouts in the equity markets are most reliable when supported by the sector's 'mega-cap engines' (AAPL, MSFT, GOOGL) and when preceded by a period of volume-based consolidation (liquidity turnover). By filtering for sector-wide regime strength and waiting for a volume-exhaustion reset, we can enter momentum trades with a higher probability of sustaining the move through a volatility-adjusted trailing exit.

Components

• V6 All Features Fixture (regime) — Uses mega-cap tech proxies (AAPL, MSFT, GOOGL) as a broad market sentiment filter to establish the current risk-on/risk-off environment.
• Qualitative Quantitative Estimation (QQE) (direction) — Provides the primary directional bias by comparing smoothed RSI to its dynamic volatility-adjusted trailing bands.
• Float Trader Indicator (entry) — Acts as the timing trigger by identifying volume exhaustion and liquidity turnover points between swing levels.
• MA Channel (Framework Version) (exit) — Provides a structural trend-state counter to identify when the current price movement has overextended or lost momentum.
• Chandelier Exit (risk) — Determines the hard stop-loss and trailing stop based on ATR-adjusted volatility.
• Momentum Oscillator (confirmation) — Confirms that the velocity of the price move is increasing in the direction of the trade before entry.

Known failure conditions

• Regime proxies (AAPL/MSFT/GOOGL) decouple from the traded asset.
• Volume data is thin or inconsistent (common in crypto or certain CFDs), breaking the Float Trader logic.
• Market enters a low-volatility 'compression' phase where ATR-based stops (Chandelier) are too tight for the QQE smoothing lag.

Explore the full interactive blueprint with parameter ranges and evidence on WOBR StrategyVerse, or generate this strategy as an MT4/MT5 Expert Advisor with QuantMogul AI Engine (free download).