About EventHorizonIQ
Quantitative intelligence for crypto and macro markets. Sentiment is downstream. Structure leads.
Built on 20 years of published research proving that structural factors — management capital, board composition, governance architecture — predict performance before sentiment shifts.
What We Do
EventHorizonIQ monitors 312+ sensors across crypto, macro, credit, and geopolitical domains. Our composite signals are statistically validated from 450,000+ tested combinations — only 39 survived our 4-stage validation pipeline.
55 sensors are active in the SRI composite — the ones that cleared our information coefficient threshold after walk-forward validation. The remainder are monitored, in calibration, or retired as redundant. Composite precision is the point.
The Numbers
What Makes Us Different
Track Record Highlights
7-for-7 bank failures detected -- WaMu (2008) through Republic First (2024). Zero false positives.
7 sensors tracked the full 2007-2009 escalation from New Century to S&P 666.
Dead Cat Bounce sensor detects structural tops, not just bottoms.
The Team
Eric Jackson, PhD
Founder & CEO
PhD in Strategy & Management from Columbia University, where his published research on corporate governance, prestige signaling, and leadership failure informed the architecture behind EHIQ. His peer-reviewed work — published in the California Management Review, Journal of Business Venturing, and Ivey Business Journal — demonstrated that structural factors like director equity commitment and management team capital predict corporate performance before sentiment shifts. 15+ years in capital markets spanning equity research, portfolio construction, and quantitative strategy. Built EHIQ from the ground up as a governance-first intelligence system — where sensors constrain and models inform, never the reverse.
EventHorizonIQ is an independent quantitative intelligence platform specializing in structural market analysis. Our sensor architecture processes 82,000+ readings across 45 instruments spanning 21 years of market data — from the GFC through COVID to today. All composite signals are validated with permutation tests, walk-forward OOS, and bootstrap confidence intervals.
Explore how we build, validate, and deploy signals.
Past performance is not indicative of future results. Statistical validation does not guarantee future signal accuracy. EHIQ is an intelligence layer providing diagnostic observations, not investment advice. Permutation tests, bootstrap confidence intervals, and walk-forward validation are standard statistical techniques; they reduce but do not eliminate the risk of false discovery.