Our Methodology
LyraIQ AI is built on a deterministic-first architecture. Engines compute. AI interprets. We never ask AI to invent what it should have measured.
Engines compute. AI interprets.
Most AI financial tools ask the model to both calculate AND interpret. This leads to hallucinations — confident-sounding wrong answers. LyraIQ separates these concerns:
- 1.Engines compute deterministic metrics (volatility, trend, correlation, regime)
- 2.AI interprets what those metrics mean for your specific context
Deterministic Signal Evaluation
Every asset gets a DSE score based on multi-factor analysis across technical, fundamental, and macro dimensions.
Trend
6 signals
Directional momentum across multiple timeframes
Volatility
4 signals
Risk regime classification and regime shifts
Correlation
3 signals
Cross-asset relationships and diversification value
Context-aware scoring
We classify market conditions into distinct regimes (risk-on, risk-off, transition, etc.) using macro indicators, volatility surfaces, and cross-asset flows. The same asset can score differently in different regimes.