Neural-Flow ATR Breakout
Family: breakout · Regime: trending · Complexity: medium · Asset classes: Equities, Forex, Crypto · Timeframes: M15, H1
Thesis
Market breakouts are most sustainable when accompanied by institutional accumulation (CMF > 0) and high-frequency momentum (NNind). By waiting for a volatility-based trigger (UT Bot) confirmed by a standard momentum floor (CCI) and smoothed trend alignment (MA-Candlesticks), we can capture the meat of a trend move until it reaches structural resistance (Pivots).
Components
- Chaikin Money Flow (CMF) (regime) — Used as a regime filter to ensure the strategy only trades in the direction of institutional accumulation/distribution.
- Neural Network Indicator (NNind) (direction) — Provides the primary directional bias by identifying non-linear patterns in Close Location Value.
- UT Bot Alerts (MQL5) (entry) — Acts as the execution trigger when ATR-based trailing stops are breached, signaling a momentum shift.
- Pivot Points (Classic) (exit) — Provides objective, non-repainting exit targets based on prior period market structure.
- ATR Heiken Ashi (risk) — Used for volatility-adjusted stop-loss placement, incorporating the smoothing of Heiken Ashi to avoid noise.
- Commodity Channel Index (CCI) (confirmation) — Confirms that the momentum is reaching a significant threshold before entry, reducing whipsaws.
- MA-Candlesticks (volatility_filter) — Filters out environments where the 'average' price is stagnant, ensuring sufficient trend strength.
Known failure conditions
- Strategy enters a 'zig-zag' phase where UT Bot signals alternate every 2-3 bars regardless of CMF direction.
- The NNind output stays pinned within the 54-74 range for extended periods, indicating a total loss of directional momentum.
- Pivot Points remain narrow (low daily range), causing take-profits to be hit before spread/commissions are covered.
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