LIVE
Real-Time Engine
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Causal Nodes
24/7
Risk Monitoring
Markets aren'tpredictable.
But they are probabilistic.
OmniQuant delivers AI-powered likelihoods, risks, and scenarios — not price targets.
“The goal is not to predict the future — but to understand the range of possible futures and their likelihoods.”
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Predictions Made
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Overall Accuracy
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Validated & Scored
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The Market Inflection
Even tiny improvements in decision quality are worth billions at this scale.
Third-party industry research — not OmniQuant measurements. Source and period are cited on each tile.
Global Assets Under Management
A record high, up 12% year over year; small gains in decision quality compound to billions.
Hedge Fund AUM
Passed $5T for the first time, a 9th consecutive quarter of capital growth.
Annual Market Data Spend
Up 6.4% on the year. The industry already pays for data; the open question is interpretation.
Alternative Data Growth (2025 → 2030)
Forecast to reach $135.7B by 2030. Independent forecasts for this market vary widely.
Markets Are Stacked Against Retail Investors
We're building tools to level the playing field
The Problems
Information Overload
Retail investors drown in noise from social media, news, and conflicting signals.
Institutional Advantage
Hedge funds have AI tools that cost millions. Retail investors don’t.
No Accountability
Pundits and ‘experts’ make predictions with no track record or accountability.
Our Solution
Proprietary ML Models
Multiple proprietary models provide uncertainty-aware probabilistic forecasts designed for clarity.
Transparent Methodology
Predictions include confidence tiers and explanations. No black boxes or hidden logic.
Contextual Understanding
Go beyond what—understand why, with our factor attribution and contextual analysis.
Who Benefits Most
Institutions
Who: Hedge funds, asset managers, family offices
Benefit: Real-time market intelligence across events, macro, and assets. Compress research from days to hours.
Trading Firms
Who: Proprietary desks, quant shops, algo traders
Benefit: Event-driven signals that traditional indicators miss. Explainable reasoning for risk and compliance.
Active Investors
Who: Serious retail investors, RIAs, DIY traders
Benefit: Advanced analytical reasoning at accessible pricing. Understand not just what moved, but why.
Research Teams
Who: Analysts, researchers, portfolio managers
Benefit: Automated intelligence gathering across global events. Explainable signals cut manual research time.
Three Steps to Clarity
Connect
Access real-time market data, news feeds, and sentiment streams from global sources.
Analyze
Our proprietary ML models process causal relationships, scenarios, and probabilistic forecasts.
Decide
Get calibrated probabilities, risk assessments, and explainable insights for confident decisions.
How OmniQuant Thinks
A transparent, probability-first approach. We don't pretend the future is knowable — we quantify uncertainty and act accordingly.
Probability, Not Certainty
OmniQuant does not predict outcomes with certainty. Markets are inherently uncertain — we evaluate likelihoods and acknowledge what we don’t know.
Confidence Tiers
Insights are classified HIGH / MEDIUM / LOW / ABSTAIN. You always know the system’s conviction before you act on it.
Why Abstaining Matters
Sometimes the most responsible answer is: “There is no clear signal.” Abstaining is intentional risk control, not failure.
What OmniQuant Does Not Do
We believe in being explicit about what this platform isn't — so you can use it for what it actually is.
No Trading
OmniQuant does not execute trades or connect to brokerage accounts.
No Buy/Sell Instructions
We never tell you what to buy, sell, or when to do it.
No Guaranteed Outcomes
Markets are uncertain; we never promise specific results.
No Financial Advice
OmniQuant is for informational purposes only, not investment advice.
Platform Showcase
See the platform working — live.
Real-time predictions, calibrated accuracy, causal graphs, high-confidence picks, and today's opportunities — powered by live data on your account.
Create a free accountAlready have an account? Sign inWhat OmniQuant Does
Terminals and charting platforms deliver data. We add an interpretation layer — and publish how well it actually performs. Here is the honest boundary of what that includes.
What we do
- Probabilistic forecasts across multiple horizons, published with confidence and sample size
- Event-driven and macro/geopolitical signals folded into the feature set
- Causal graph modelling of cross-asset and supply-chain linkages
- Per-prediction explanations — the factors behind a call, not just the call
- Scenario modelling over a range of outcomes rather than a single price target
- Continuous settlement of past predictions, with the scorecard published openly
What we do not do
- • We are not a broker and we do not execute trades on your behalf
- • We do not publish analyst research reports or price targets
- • We are not a full market-data terminal — we interpret data, we do not resell feeds
- • We do not offer investment advice or personalised recommendations
- • We do not claim our confidence scores are calibrated probabilities — measured, they are overconfident
- • We do not hide losing periods; horizons and markets that underperform are published too
Our published accuracy, including the horizons and markets where it is weakest, is on the method and track-record page.
Not an AI wrapper. Not a broker.
Not a “90% accuracy” fairy tale.
Most “AI investing” is a chatbot over headlines, a brokerage that profits when you trade, or a marketer selling a hit-rate they will never let you verify. OmniQuant is a different category of thing — and it proves it in public.
| OmniQuantPrediction engine | AI “wrappers”General-purpose news summaries | BrokeragesExecution + charts | “90%+ accuracy” sellersSignal groups | |
|---|---|---|---|---|
| The model | Trained ensembles (gradient-boosted + neural) with a causal driver graph, per-horizon | A generic LLM prompted on articles — no market model underneath | None — they route your orders and draw charts | Undisclosed, usually none — a Telegram feed |
| Output | Calibrated probabilities, risks, scenarios & the cause | Fluent summaries; confident-sounding, unquantified | Price, quotes, order tickets | “BUY now” alerts, no probability |
| Proof of accuracy | Published — validated on every settled call, misses shown | None | Not applicable | Unverifiable screenshots |
| Shows its misses | Yes — the whole cohort | No | — | Never |
| Explains “why” | Causal graph + factor attribution | Narrative only | No | No |
| Incentive | You pay for intelligence — aligned with your outcomes | Engagement / subscription | Paid on order flow — profits when you trade | Sells the dream, not the result |
| Coverage | 7 markets · 7 horizons (1d→90d) | Whatever you paste in | Your broker's instruments | A handful of tickers |
| Price | From retail pricing — institutional model, individual cost | Cheap, generic | “Free” (you're the product) | High, recurring, opaque |
Institutions build this kind of measurement in-house, spend heavily on it, and never let you see it. That's the fifth column, below.
Comparison rows characterise product categories, not any named company.
We publish the score, including the misses.
Markets are close to efficient. Even the most famous funds win only a little over half their trades, and most professionals never beat their market at all. That is the literature, and the bar to judge any forecaster against, us included, is the market's own baseline:
The greatest fund in history ran on a hair over half.
Renaissance's Medallion fund reportedly won only about 50.75% of its trades — and returned roughly 66% a year before fees for three decades, the best track record on Wall Street. A tiny edge, at scale, compounds into everything.
Nine in ten professionals can't beat the index.
Over 15 years, roughly 90% of active US equity funds underperformed the S&P 500. Managers with billions in resources mostly fail to hold an edge, which is why any claimed edge should be checked against the market's own baseline.
Every call is scored — including the misses.
Directional accuracy is not profit. On the same public ledger the ungated book is negative after costs. What we sell is the measurement and the reasoning — every prediction settled against the tape and published, right or wrong.
Knowing when not to call.
The engine declined — opportunities. It abstains more often than it calls. Most services publish only what they got right; we publish what we refused to touch, and why.
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Anyone advertising “90%+ accuracy” is quoting a number no serious quant would claim. Over the last 90 days our settled calls were right our measured hit-rate against a market baseline of the share of the same moves that went up anyway, misses included. Compare the two yourself on the track record.
Neutral-band and pending counts are shown on the track record.
They react in minutes. We forecast in weeks.
A broker app hands you a live chart and, at best, a 15-minute-to-two-hour signal — reactive, intraday, execution-first. OmniQuant forecasts the probability of a move across seven horizons, one day to ninety days out, so you position ahead of the move instead of chasing it.
The model hedge funds build in-house —
pointed at you.
Top hedge funds spend tens of millions building probabilistic, causal, self-scoring engines — then guard them like a vault, because an edge you disclose is an edge you lose.
That secrecy is why retail never sees this class of tool. OmniQuant built an institutional-grade market research platform — ensembles, a causal graph, per-horizon calibration, abstention discipline — and pointed it at individual investors. You don't get a black-box signal to follow blindly; you get the machine: the probabilities, the drivers, and a public track record you can audit before you trust it.
Pricing
One plan. Free trial.
Every market, everything we ship, one price. Start with a free trial — no card required.
Disclaimer
OmniQuant provides informational probability forecasts and analytical insights. It does not provide investment advice, trading recommendations, or financial guarantees. All outputs are for educational and research purposes only. Past performance of probability calibration does not guarantee future accuracy. Users should conduct their own research and consult qualified financial advisors before making investment decisions.
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