AAPL Temporal Sweep Expansion System
Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities (AAPL) · Timeframes: M5, M15
Thesis
AAPL stock exhibits predictable mean-reversion and expansion cycles linked to weekly/monthly institutional fund flows. By identifying temporal proximity to these cycle milestones and waiting for a liquidity 'sweep' during the high-volatility New York session, we can enter high-momentum moves as they break out of consolidated ranges (Boxline). The hypothesis is that institutional rebalancing creates detectable footprint patterns that a multi-modal confluence engine (IAE) can track more effectively than single-indicator systems.
Components
- Virtual month chart oracle 20 (regime) — Identifies proximity to monthly/weekly institutional rebalancing windows to ensure the strategy operates when institutional liquidity is likely to be active.
- The Daily Sweep (direction) — Provides the core directional bias based on liquidity hunts (sweeps) and price displacement (FVG) during the high-volume New York open.
- OTLIB Stochastic Oscillator (entry) — Timing the entry using smoothed momentum to ensure the reversal has started following the liquidity sweep.
- IAE — Technical Confluence Score (exit) — Aggregates 10 layers of data to provide a holistic exit signal when the weight of evidence (trend, volume, breadth) no longer supports the trade.
- Average True Range (NNFX Version) (risk) — Calculates dynamic stop-loss and position sizing based on recent volatility.
- Boxline (Dynamic Range Breakout) (volatility_filter) — Acts as a volatility filter by requiring a 'Box Breakout' (close outside the previous range) to confirm that the sweep has led to a genuine trend expansion.
Known failure conditions
- The strategy fails if AAPL enters a prolonged low-volatility period where Boxline remains static for multiple sessions.
- Failure if the temporal 'lookahead' in the Oracle indicator causes drastic historical backtest distortions that do not manifest in live trading.
- Failure in high-correlation regimes where idiosyncratic AAPL liquidity sweeps are overwhelmed by macro (SPY/QQQ) beta shocks.
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).