About Mindforge
We read environmental inputs that sit outside markets and operational systems, synthesizing fundamental data into clear regime classifications.
// EXO-ECONOMIC DATA: UPSTREAM OF PRICE. ORTHOGONAL TO FLOWS. CONSISTENTLY EARLY ON STRESS.
>Patent-pending methodology. 35+ years research foundation. Multi-decade walk-forward validation. AI-augmented processes that let us research and deploy faster while maintaining precision. We don't need to guess; we backtest across cycles.
Exo-Economic Data Synthesis
Solar and geomagnetic data, environmental inputs that traditional monitoring doesn't track. One pattern recognition engine. Multiple critical research applications.
Why Exo-Economic Signals
Old World
Risk signals from price, volatility, credit spreads, all downstream effects.
New Layer
Environmental inputs → Pattern recognition → Context states → Fundamental synthesis. Orthogonal sources. Upstream of effects.
Angel Edwards
Founder
Who Built This
Founder & Chief Research Officer at Mindforge (Exo-economic Risk Intelligence). 10+ years architecting AI/ML systems for healthcare and finance (2012-2024).
Researching exo-economic data correlations since 2012. The systems run on a market-tested architecture that classifies risk regimes before traditional volatility indicators react. Alumnus of The University of Texas at Austin.
Want to Test It?
We work with institutions that need upstream data synthesis. Talk directly with our team about research deployment.
Get in Touch