Gaussian-XARD Perfect Foresight Hybrid

Family: hybrid · Regime: trending · Complexity: high · Asset classes: FX, Equities, Indices · Timeframes: H1, H4

Thesis

The strategy assumes that market momentum is most tradable when Gaussian-smoothed trend cycles (ALMA) align with multi-timeframe structural envelopes (XARD). By testing this against a 'future-peeking' directional anchor, we hypothesize that volume-confirmed structural levels (Volumatic) can mitigate the lag inherent in standard trend-following systems.

Components

• ALMA with Floating Levels (regime) — Filters out noise through Gaussian smoothing while identifying exhaustion levels to prevent entering at the end of a trend.
• Unsupported named const comparison ternary negative history (direction) — Acts as an 'idealized' directional filter; while it introduces look-ahead bias, it serves to define the theoretical market structure required for high-probability moves.
• Arrows Indicator Template (entry) — The execution trigger that fires when the confluence between ALMA regime and XARD confirmation is achieved.
• Average True Range (NNFX) (exit) — Used to define the volatility-adjusted exit threshold.
• Volumatic Support/Resistance Levels [BigBeluga] (risk) — Determines stop-loss placement and position sizing by identifying high-volume structural nodes.
• XARD Channel (confirmation) — Provides multi-layered trend confirmation via EMA envelopes to ensure price is moving in the direction of institutional flow.

Known failure conditions

• XARD colors flip frequently (choppy market) despite ALMA showing a trend.
• Price breaches Volumatic levels with low volume, suggesting structural breakdown.
• The 'Direction' look-ahead bias produces 100% win rates in backtesting but fails in live execution (falsification of the future-index premise).

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.