Neural-ALMA Opening Range Extender
Family: trend_following · Regime: trending · Complexity: high · Asset classes: Gold (XAU/USD), Major FX Pairs · Timeframes: M15, H1
Thesis
The market's directional bias is often established after the first 30-60 minutes of trading (Opening Range). By using an LSTM to dynamically adjust to the current day's volatility (SuperTrend) and a Gaussian filter (ALMA) to remove intraday noise, we can identify high-momentum extensions. The edge exists because price momentum (MACD) tends to persist after breaking through adaptive AI-generated support/resistance levels during liquid sessions.
Components
- ALMA with Floating Levels (regime) — Defines the macro trend regime and filters out price noise using Gaussian smoothing to ensure trades are aligned with lower-frequency momentum.
- ML SuperTrend (Ultimate) - Auto-Optimized AI with LSTM (direction) — Provides the primary directional bias by dynamically adjusting to volatility clusters via LSTM-optimized ATR factors.
- Connect MACD (Azullian) (entry) — Triggers entries on momentum shifts that occur in the direction of the AI-optimized trend and ALMA regime.
- Restu Kaioh Scalping Indicator (exit) — Identifies local overbought/oversold exhaustion points to exit positions before mean reversion occurs.
- ATR Stop Loss Finder (risk) — Calculates trailing stops based on realized volatility to protect against outlier moves.
- Trepidity Opening Range with Extensions (volatility_filter) — Restricts trading to periods outside the initial balance to avoid 'noise' and ensure the session trend has established extensions.
Known failure conditions
- The LSTM model fails to adapt to sudden regime shifts (e.g., flash crashes), leading to 'stuck' directional bias.
- Market volatility remains consistently below the Opening Range extensions, resulting in zero trade frequency.
- Stochastic-based exits trigger prematurely in 'strong-trend' blow-off phases, severely capping R:R.
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