SPECTRA Methodology
How We Detect Market Anomalies
Our Approach
SPECTRA uses proprietary Z-score analysis combined with volume profiling to detect statistically significant anomalies across multiple asset classes.
Core Detection Methods
1. Volume Anomaly Detection
When trading volume exceeds 3+ standard deviations from historical norms, SPECTRA flags potential institutional positioning. This detects accumulation or distribution before price moves significantly.
2. Cross-Asset Correlation Analysis
Simultaneous movements across typically uncorrelated assets signal systematic risk-on or risk-off positioning by large institutions. Example: VIX spike + Gold surge + USD strength = institutional defensive positioning.
3. Volatility Regime Shifts
Pre-emptive detection of volatility expansion using VIX positioning, options flow, and historical volatility patterns. Identifies transition points before they cascade across markets.
Validation Approach
- ✓ 3-year backtest across 250+ symbols
- ✓ 86% accuracy on moves exceeding 5%
- ✓ Average 2.5-hour early warning time
- ✓ Currently in live forward-testing with institutional beta partners
- ✓ Independent academic audit in progress
What We Don't Do
We are NOT:
- ❌ A black-box trading algorithm
- ❌ An automated execution system
- ❌ A guarantee of future performance
- ❌ Investment advice
We ARE:
- ✓ A decision support tool
- ✓ An early warning system
- ✓ A risk intelligence platform
- ✓ Transparent and explainable
Questions?
Want to understand how SPECTRA would work for your specific use case?
Contact Us