Olympia scans a broad U.S.-listed market universe across weekly and daily lanes today, surfacing qualified signals that have historically presented a +10% or greater return opportunity within their model window - with transparent validation and a public proof ledger.
See PricingDifferent opportunities unfold on different clocks. Olympia uses separate weekly, daily, and hourly model lanes to scan the market, identify historically validated return-opportunity patterns, and rank the names most worth investigating. Longer-cycle and faster intraday lanes remain in validation until they meet Olympia's proof standard.
Longer-cycle opportunity research. In validation and not yet part of the public candidate flow.
Weekly signals that have historically presented +10% or greater return opportunities within a quarterly model window.
Daily signals that have historically presented +10% or greater return opportunities within a multi-week model window.
Upcoming intraday layer. Release is gated until real-time data contract validation is complete.
Fast intraday opportunity research. In development and not yet part of the public candidate flow.
Olympia separates historical return-opportunity reliability from setup quality, so users can understand both what qualified and how strong the setup looks.
Historical reliability. ELITE, HIGH, and MEDIUM show how consistently similar signals have produced the target return opportunity.
Setup quality. A composite quality score that helps interpret candidate strength within its model lane.
Supporting context. Signal components and regime-aware context help explain why a setup stands out.
Past performance does not predict future results. This is historical data, not investment advice. Users are responsible for their own investment and research decisions.
Join the list to explore the scanner, review the validation proof, and follow the public ledger when we open.
Join the Opening List© 2026 Solvanta, LLC. Olympia by Solvanta, LLC is a data and education platform. Nothing on this site constitutes investment advice. Past performance does not predict future results. Users are responsible for their own investment and research decisions.
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