About OmniQuant.

Markets are not predictable — anyone who tells you otherwise is selling something. Markets are probabilistic, and that distinction is the entire reason OmniQuant exists.

Bloomberg costs $24k/yr and is built for institutions. Robinhood treats markets like a slot machine. OmniQuant sits in the middle: institutional-grade probabilistic infrastructure, priced for individuals. The product is a disciplined engine that scores itself honestly — not one that promises certainty.

Publishing hit rates, abstentions, and misses is not marketing — it’s the product. We’re building for the trader who wants to know why a call was made, at what confidence, with what historical analog, and what would flip it.

• Per-horizon predictions across 8 horizons (1d → 90d), each scored independently and gated by abstention discipline.
• Causal driver graph mapping cause→effect across stocks, sectors, FX, commodities, and macro.
• Multi-market workspace covering US / India / EU / APAC / crypto / FX / commodities — seven markets, independently priced.
• Public accuracy surface with calibration plots and trust-funnel stages. We publish the misses, not just the hits.

Every prediction lifecycle is one of three outcomes: abstained, predicted-and-validated, or predicted-and-missed. Nothing is hidden. The funnel below is computed from the same data that drives our internal dashboards.

Net accuracy is measured on the validated cohort over the trailing window, after abstentions are excluded. No confidence floor is applied — every scored prediction is in that cohort, including the ones we were least sure of. We publish the underlying breakdown — direction split, per horizon — on the accuracy page.

Published cohort definition: Strict directional accuracy — a prediction is scored correct only when the symbol moved beyond its noise band and the model called that direction. Band-indeterminate outcomes (see indeterminate.band_description for the exact rule in force) are excluded from both the numerator and the denominator — not counted for or against. Cohort also excludes archived, abstained, out-of-universe, and shadow-challenger predictions. No confidence floor is applied: every scored prediction is in the cohort, including the ones the model was least sure of. Short (DOWN) calls are excluded: the platform publishes long calls only, so the track record describes the product actually sold. Short predictions made before 2026-08-23 remain in the database but are not scored here.

OmniQuant is currently a solo-founder build. Reach the founder directly at founder@omniquant.trade.

We’re currently self-funded. Seed conversations welcome — founder@omniquant.trade.

Press inquiries: founder@omniquant.trade. A media kit will land here once the company-news surface is wired.