NVI-LSTM Neural Flow Pro

Family: trend_following · Regime: trending · Complexity: high · Asset classes: Forex (Majors), Equities (High Volume), Crypto (Top 10) · Timeframes: H1, H4

Thesis

Market trends are most sustainable when driven by 'informed' accumulation, visible through price appreciation on declining volume (NVI). By using LSTM to dynamically adjust trend sensitivity to volatility (SuperTrend) and filtering against high-volume structural barriers (Volumatic), we can identify high-probability breakout entries that are confirmed by noise-reduced momentum (RSX).

Components

• Negative Volume Index (NVI) / Positive Volume Index (PVI) (regime) — Used to identify accumulation phases; when NVI is above its moving average, smart money is theoretically active during low-volume price moves.
• ML SuperTrend (Ultimate) - Auto-Optimized AI with LSTM (direction) — Acts as the primary trend filter, using LSTM/K-Means to adjust the multiplier factor to current volatility.
• Arrows Indicator Template (entry) — Modified to trigger when price crosses the ML SuperTrend while NVI confirms institutional participation.
• Bollinger Bands (exit) — Used as a dynamic volatility-based trailing exit to capture mean reversion if the 1.5 RR is not hit.
• Frankenstein Ultimate Pro - ATM Logic (risk) — Provides the execution engine using TEMA for final timing and ATR for the 1.5 RR stop/target.
• Corrected RSX (confirmation) — Filters for momentum; ensures the entry is not exhausted and is moving in the direction of the trade.
• Volumatic Support/Resistance Levels [BigBeluga] (volatility_filter) — Filters out entries that occur directly into high-volume supply/demand zones.

Known failure conditions

• ML SuperTrend 'Factor' oscillates rapidly in low-volatility environments due to LSTM overfitting.
• NVI fails to differentiate between institutional accumulation and simple retail exhaustion.
• Price 'walks' the Bollinger Bands against the position without triggering the 1.5 RR stop.

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.