Neural-ICT Volatility Expansion Strategy
Family: hybrid · Regime: trending · Complexity: high · Asset classes: Forex, US Equities (Indices), Commodities (Gold) · Timeframes: 15m, 1h
Thesis
Market inefficiencies (FVGs) represent institutional liquidity gaps that act as magnets during momentum expansions. By combining these gaps with a non-linear confirmation tool (Neural Network) and a regime filter (SuperTrend), we can isolate high-probability trend continuation plays that occur only when volatility is sufficient to carry the trade to its target. The NNind's use of CLV (Close Location Value) provides a distinct edge over standard RSI by identifying the strength of the 'close' within the candle range, filtering out weak breakouts.
Components
- Extrem SuperTrend (regime) — Defines the macro-regime; ensuring trades only occur in the direction of the medium-term ATR-based trend.
- Qualitative Quantitative Estimation (QQE) (direction) — Provides a smoothed momentum direction by comparing the RSI-MA to its dynamic volatility bands (TrLevel).
- ICT + FVG + RSI V1.2.12 (entry) — Triggers entries based on price 'imbalances' (FVGs) which suggest aggressive institutional interest after momentum is established.
- ATR Heiken Ashi (exit) — Uses smoothed HA volatility to identify when the current trend pulse is exhausting, signaling an early exit.
- ATR SL Finder (risk) — Provides the technical stop-loss level based on current bar volatility to define the trade risk unit.
- Neural Network Indicator (NNind) (confirmation) — Acts as a non-linear filter to confirm if the internal candle structure (CLV) supports the directionality before committing capital.
- Average True Range (NNFX Version) (volatility_filter) — Filters out 'dead' markets by requiring a minimum threshold of volatility before signals are considered valid.
Known failure conditions
- Consistently flat NNind readings (e.g. perpetually near 50) indicating the MLP weights are no longer relevant to current volatility.
- SuperTrend flipping more than 3 times within 10 candles, indicating a total breakdown of trend structure.
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