Prediction markets are won or lost on information latency.
The edge is not just finding information. It is identifying the right information early, interpreting it correctly, and moving before the broader market fully reacts.
EventAlpha tracks public-figure messaging, notable market participants, and narrative shifts, then turns that stream into structured AI-ranked signals for prediction market traders, research teams, and signal-driven communities.
The edge is not just finding information. It is identifying the right information early, interpreting it correctly, and moving before the broader market fully reacts.
Social feeds alone are noisy. Wallet tracking alone is incomplete. Raw market data alone misses intent. EventAlpha fuses these sources into one tighter decision loop.
Watch public figures, notable traders, and event streams that historically create fast market reactions.
AI models reduce noise, score relevance, and structure raw inputs into cleaner trade intelligence.
Signals are delivered through a simple trader-grade interface designed for speed and human-confirmed action.
EventAlpha starts with a narrow wedge: high-signal public figures, notable market participants, and prediction-market-native event context.
EventAlpha is being built by Vasyl Yaremenko, a Salesforce and AI engineer with around five years of experience across healthcare, pharma, finance, and enterprise systems. That matters: this product is being shaped by a technical founder used to shipping production workflows, integrations, and applied AI features, not just pitching market hype.
If you trade prediction markets, run event-driven research, or invest in AI-native market infrastructure, we should talk.