Granular market insight, previously reserved for institutional investors — at your fingertips.
SuperQuant puts institutional-grade market data in the hands of independent traders, quants, and small firms. It brings together the signals that actually move prices — retail-versus-institutional flow, options positioning, short interest, futures positioning, and macro forecasts and signals — into a single dashboard that runs live in OpenBB.
SuperQuant provides a curated set of continuously refreshed, institutional-grade datasets spanning: retail-versus-institutional flow across U.S. equities, options positioning across major universes, short interest dynamics, futures positioning from the largest traders, and a macro layer of forecasts and signals across global growth, inflation, and rates. The specific datasets, coverage, and history available to you depend on your plan.
Because the consolidated tape does not tell you who is behind a trade — and different investor types move prices in opposite ways. Institutional flow is persistent, mandate-driven, and tightly linked to long-horizon price formation: SuperQuant runs on the same engine (XTech Equity Flow) whose net institutional flow predicts the direction of SEC Form 13F filings with 65.5% directional accuracy, rising to over 71% on high-confidence names. Retail flow, by contrast, tends to be mean-reverting and behaviorally biased. Treating them as one undifferentiated "flow" obscures both signals; separating them turns noise into a usable input for momentum, reversion, positioning, and sector-rotation analysis.
Materially different — in both methodology and accuracy. Consensus CPI forecasts are survey-based and extrapolative, and fewer than 20% of professional economists consistently beat them. SuperQuant inherits XTech's bottom-up, component-level macro forecasts, built from proprietary consumer survey data, high-frequency price and transaction series, and machine-learning models tied to official CPI weights. Over November 2017–September 2025, XTech headline CPI MoM forecasts achieved 81.9% directional accuracy versus 75.5% for consensus, with the gap widening on Core CPI (55.3% versus 20.2%). Forecasts are published roughly 20 days ahead of the BLS release and refreshed continuously — most recently calling Q1 2026's Strait-of-Hormuz energy shock within 6 basis points on headline March CPI.
Yes. SuperQuant runs on the same data infrastructure as Exponential Technology — the platform behind XTech, used by leading hedge funds and investment banks. Nothing is downsampled or simplified for individual users. Personal and Professional plans differ in coverage and history, not in fidelity: what you see is what an institutional client sees, priced for individuals and small teams.
No. SuperQuant is a software and data product. It does not provide brokerage, investment advisory, financial planning, accounting, legal, or tax services, and nothing on the platform should be treated as a recommendation to buy or sell any security. You are responsible for your own investment decisions.
SuperQuant is offered in two tiers — Personal and Professional — each available on a monthly or annual billing cycle, and across one or more product lines (for example, market analytics and macro analytics). The features, datasets, coverage, history, and any user, query, or export limits depend on the plan you select.
A Personal plan licenses the Service to one named individual for that person's own personal, non-commercial use — including individual research, education, building proprietary models, and trading your own account. A Professional plan adds internal commercial use within your organization, including trading your firm's proprietary capital and access for named users or seats associated with your account.
There is no free trial unless a specific promotion says otherwise. Your subscription and payment obligation begin when your initial purchase is completed. Fees are stated in U.S. dollars (exclusive of taxes) and processed through our payment provider, Stripe. Subscriptions renew automatically at the end of each billing period at the then-current rate, and we give at least 30 days' notice before any price change takes effect for your plan.
You can cancel anytime from your account settings or the customer portal; cancellation turns off automatic renewal, and you keep access through the end of your current paid period. Fees are non-refundable — including annual plans paid in advance — except where a refund is required by applicable law (such as certain statutory consumer rights).
Yes. Upgrades (for example, Personal to Professional, or monthly to annual) take effect immediately, with a pro-rated charge for the difference. Downgrades take effect at the end of your current paid billing period, and you keep your current plan's features until then.
SuperQuant is delivered through a single dashboard that runs live in OpenBB. Depending on your plan, access may include visual dashboards and charts, downloadable files such as CSV exports, and programmatic (API) access to the data. To get started, create an account, choose a plan, and complete checkout — access begins as soon as your purchase is confirmed.
Because the data is delivered through OpenBB, a paid OpenBB seat is what lets you download the data from the OpenBB visual dashboard as .csv files. Without a paid seat you can still view the dashboards, but exporting the underlying data to CSV requires the paid OpenBB seat.
Your license is for your own permitted use. You may not redistribute, resell, sublicense, or publicly post, publish, or quote the data or any charts, screenshots, or outputs derived from it, and you may not use it to reverse-engineer SuperQuant's methods or to train AI or machine-learning models. Exports such as CSVs are provided for your own analysis under the terms of your plan.
SuperQuant is the entry point to Exponential Technology's data platform. For teams that need bespoke datasets, custom universes, or dedicated coverage, XTech is available as a direct upgrade. If you'd like to explore it, reach out and our team can help you find the right fit.