QUARK · COMPANY
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Company & Strategy

Who Quark is, what we build, who we serve, and where we're going. This page is the public-facing strategic overview — intended for prospective partners, institutional licensees, and due-diligence reviewers. Full internal financial projections and unit economics are maintained separately and shared under NDA.

Version 1.0  ·  Last updated 2026-04-21

What Quark does

Quark is a quantitative research platform that delivers proprietary regime-classification, tail-risk, and structural-shift signals to retail traders, independent quant developers, and institutional allocators. We publish finished signals — not raw data, not advice — via email digests, a monitoring dashboard, and a REST/webhook API.

Our underlying framework draws on advanced mathematical techniques from applied mathematics, stochastic processes, information geometry, and topological data analysis. The specific methodology is proprietary; the outputs are intentionally straightforward to consume (a regime label, a crash probability, a defensive-blend number).

The gap we fill

Institutional terminals ($20K+ / seat / yr)

Bloomberg, Refinitiv, Kensho — deep analytics, but priced out of reach for individual traders, small RIAs, and early-stage quant funds. No regime-detection products at retail price points.

Retail signal services

TradingView alerts, newsletter stock picks, basic screeners — rely on elementary technical analysis (MAs, RSI, MACD). Everyone has access, so there's no edge. Regime shifts, tail-risk, and factor-structure breaks are typically invisible at this tier.

Quark

Institutional-grade mathematical rigor, retail-accessible price points ($5 to $299 / month plus Custom). Signal delivery, not fund management — no capital requirements, minimal regulatory exposure, and full audit trail on every signal we publish.

Academic research

Methods from mathematical physics, stochastic analysis, and topological data analysis are published in journals but rarely commercialized. We shorten the academic-to-product lag by running our own research pipeline in-house and shipping the results as paid signals.

Product tiers

TierPriceDeliveryIntended for
Regime Alert$5 / monthWeekly emailCasual investor wanting a sanity check
Market Pulse$20 / monthLive dashboard + alertsActive retail trader monitoring positions daily
Research Reports$49 / monthDaily email + dashboardSemi-professional trader, RIA, finance student
Signal Feed$299 / monthREST API + webhooksQuant developer, algorithmic trader, small fund
InstitutionalCustomDedicated integrationMulti-manager fund, family office, prop desk

The Signal Feed ($299) and Institutional tiers come with a published service-level agreement (99.5% monthly uptime, documented incident-response commitments, service-credit schedule). See API documentation for endpoint reference, webhook semantics, and response schema.

Competitive position

We do not compete with institutional terminals on breadth; we compete on specific-signal depth at accessible price points. Our differentiation isn't speed-of-execution or data firehose volume. It's this:

  1. Proprietary methodology. Regime classification, crash probability, and factor-structure monitoring built on a mathematical framework that cannot be replicated by swapping in a standard ML library.
  2. Integrated multi-model architecture. Many independent engines cross-feed signals into a single decision layer. The value is in the integration — any one component on its own is less interesting than the ensemble.
  3. Published research backing. Multiple publication-grade papers document the framework. They serve as both academic credibility and a distribution channel.
  4. Live, verifiable track record. The system has been running continuously on live market data since early 2026 with a full audit trail on every signal published.
  5. Statistical hygiene. New signals are not deployed until they clear standard multiple-testing thresholds (Harvey et al. 2016) on historical stress periods. We retract claims publicly when replication fails; see our research pipeline.

Who we serve

Customer typeWhy Quark fits
Individual retail trader using systematic methodsRegime signal at a price point that makes sense against a four-figure portfolio.
Independent RIA / small family officeOrthogonal risk signal you can layer onto existing allocation decisions without changing custodial relationships.
Small quant fund / prop shopAPI-delivered physics-adjacent signals that are genuinely uncorrelated with factor-model and ML-based alpha sources.
Institutional allocatorCustom integration, SLA-backed delivery, dedicated support. We don't manage money — you can use our signals without counterparty risk.
Researcher / studentResearch reports tier gives you daily regime calls plus monthly deep-dives; a useful primary source for academic work.

How we plan to grow

Near-term (next 6 months)

Medium-term (6–18 months)

Longer-term (18 months +)

How we think about risk

Regulatory posture

Quark delivers generalized quantitative signals to all subscribers identically. No personalized advice, no fiduciary relationship, no custody of client funds, no trade execution on behalf of subscribers. This matches the established structure of data-and-analytics providers (S&P Global Market Intelligence, Quandl, FactSet) rather than investment advisors.

Statistical hygiene

Published signal claims are gated by the Harvey et al. (2016) multiple-testing threshold (t-statistic > 3.0). Signals that fail replication are retracted publicly. We maintain a register of prospectively-tested hypotheses so future claims can be evaluated against pre-registered thresholds rather than post-hoc fits.

Operational risk

The platform runs on redundant infrastructure with automated monitoring, error detection, and self-healing for common failure modes. Production uptime target is 99.5% monthly, backed by a service-credit schedule in our published SLA.

Model risk

No single model is load-bearing. We run a large ensemble of independent strategies and publish aggregate behavior rather than any one model's output. If one strategy degrades, the ensemble degrades gracefully; we don't hide individual model performance in the monitoring dashboard.

Milestones we're tracking

HorizonMilestone
3 monthsFirst paying subscriber. First working-paper posted to a preprint server. Numerai tournament entry producing positive Alpha.
6 months50+ total subscribers. $500+ MRR. First Signal Feed ($299) subscriber. First conference submission. LLC formation.
12 months200+ subscribers. $2,000+ MRR. First institutional inquiry. Backtesting-as-a-service MVP. Live 6+ month signal track record.
18–24 monthsManaged-account partnership launched. Institutional data-licensing pipeline. Multi-asset coverage expanded.

Getting in touch

Subscribers sign up at quarkresearch.cc/#products. Press, due-diligence, and partnership inquiries: hello@quarkresearch.cc. Institutional licensees requesting pricing or an NDA copy of the full internal plan: same address with subject line prefix Institutional:.

Important. This page describes a publisher of quantitative research signals. Nothing on this page, on quarkresearch.cc, in our emails, on our dashboard, or in any API response constitutes investment advice, a recommendation to buy or sell any security, or a solicitation of any transaction. Quark delivers generalized signals to all subscribers on identical terms; we do not perform suitability analysis, hold customer funds, or execute trades. Past performance and backtested results do not guarantee future returns. All trading involves risk of loss.