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, parameter ranges and evidence on WOBR StrategyVerse, or generate this strategy as an MT4/MT5 Expert Advisor with QuantMogul AI Engine.