Qelly Live Lab

Watch Qelly's live event portfolio

AI estimates probability. Markets set price. Qelly decides what belongs in the portfolio.

Free: live performance curve + aggregate activity. Live Lab: final decisions, probability movement, exposure, risk policy, weekly attribution.

Agent Alpha Active
PM SX AZ
Will BTC hit $150k by July? 0.42 +3.1% Idle
Fed rate cut before Sept? 0.67 +8.4% Sizing
US election winner margin > 5%? 0.31 +1.2% Idle
Fractional Kelly size Fractional Kelly size: 6.8% of risk budget
Example paper portfolio - not historical performance Not user funds. Not a guarantee. +$1,247.83

Or talk to the team →

Hybrid quantum-classical optimizer* Research →

* Convex solver in production. Experimental D-Wave hybrid runs published on /research.

100
Markets in coverage
2
Venue integrations
Decisions logged
Hit rate (building sample)

How we measure skill

ROI is noisy. These four metrics aren't.

Once the research portfolio reaches n ≥ 30 settled forecasts — target: post-World Cup group stage — Qelly publishes the four metrics that separate skill from variance. Until then, structural metrics only.

  • Closing-line value % beat of our entry vs. the market's close. Gold-standard skill metric — predictive even when realized P&L is too noisy to be diagnostic.
  • Brier score Mean squared error of predicted probability vs. realized outcome. Reports calibration after the sample supports the test.
  • vs. implied bettor Shadow strategy that sizes with market-implied probabilities. The gap to our curve is alpha over a zero-edge baseline.
  • vs. Kelly-only Shadow strategy that executes every Kelly-passing candidate without the LLM filter. If the gap is zero, the LLM goes.

Qelly is not a pick feed. Every recommendation is logged as a portfolio decision: market price, Qelly probability, sizing rule, exposure limits, thesis, and later attribution. The decision log is the audit object.

Optimizer backends

Every position-sizing call is tagged with the optimizer that produced it. classical 21 · quantum (CPU) 1

Convex solver in production. Experimental D-Wave hybrid runs in /research.

See the math →

Mathematical definitions, sample-size thresholds, optimizer-backend tagging, open caveats.

Event markets are sparse, slow to clear, and full of constraints. The engine reads them.

Event markets reward consistent sizing, probability estimates tracked for calibration, and disciplined exit rules. Qelly automates the math. You and your venue accounts handle the rest.

Without Qelly

You can't watch hundreds of thin markets across venues at once — by the time you see the mispricing, it's gone.

Sizing by gut feel produces correlated overexposure on losers and timid sizing on winners.

Manually rebalancing across venues is slow, error-prone, and ignores correlation between events.

Without a decision log you can't separate skill from variance, or fix the rules that lost you money.

With Qelly

Discover

The engine ingests event markets across venues and surfaces probability-vs-price gaps with explicit confidence bands.

Size

Fractional Kelly and a hybrid quantum-classical optimizer propose position sizes within the research risk policy:

Kelly ×0.25 · 3% max per position · 10% per event · 5% daily-loss circuit breaker

Gate

The beta logs paper decisions and blocks live execution. Future venue actions require user confirmation, eligibility checks, and approved integrations.

Audit

Every probability estimate, sizing call, and final decision is logged with the inputs that produced it. Exportable for attribution or post-mortem.

Three ways to use the engine.

Start with public proof, then move into paper portfolios and user-confirmed research workflows.

Paper Autopilot

Paper-first - engine sizes and logs

Default

The engine continuously discovers candidate positions in the topics you follow, sizes them with fractional Kelly under your risk caps, and records paper decisions while live execution remains disabled during beta. You set the policy; the engine works within it.

Your input

Topics & risk policy

Engine does

Analysis, sizing, decision logs

Included on

All plans, paper only

Pricing

Public proof is free. Live Lab unlocks the real-time portfolio intelligence layer. Personal paper portfolios and private research plans come after the first beta cohort.

Qelly Public Portfolio

$0 /mo
  • Public equity curve
  • Current return and max drawdown
  • Number of decisions and open positions
  • Weekly recap and delayed decisions
View public portfolio

Qelly Pro

Later
$29 /mo
  • Personal paper portfolio
  • User risk profile and watchlist
  • Hypothetical sizing and alerts
  • Exported decision logs
Get Early Access

Qelly Private

Invite
$99 /mo
  • Dedicated portfolio agent
  • Custom research universe
  • Advanced attribution reports
  • Partner beta gates where approved
Contact Us

Subscription pricing is monthly analytics access only. Qelly does not custody funds, does not accept user bankroll deposits, and does not charge performance fees during beta.