13 independently sourced data points normalized to a -1.0 (bearish) to +1.0 (bullish) scale
High-confidence recurring multi-indicator patterns detected across 2+ years of data
| Pattern | Direction | Occurrences | 30d Win Rate | 30d Avg Return | Confidence |
|---|
Full pattern library with real-time alerts when high-confidence combinations reappear. Includes win rates, returns, and historical occurrence tracking.
Unlock Full LibraryProprietary macro models scored in real-time with self-adjusting weights
A self-improving system that gets smarter with every data point
13 independent data sources are collected every 2–6 hours, normalized to a common scale, and scored for directional conviction.
Proprietary models evaluate which indicators are aligning. When enough independent evidence converges, the engine logs a directional prediction.
Every prediction is tracked against actual outcomes. Indicators that were right get more influence. Indicators that were wrong get less. The engine adapts on its own.
Real-time thesis alerts, weight evolution tracking, and pattern-based timing for entries.
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