What if one AI could run a trade from first idea to final fill?

Backtest. Forward test. Execute. Report.
One model stack, no hand-offs.

RFUND.AI

AI that trades US markets
end to end

Frontier models research, backtest, forward-test, execute and report across 50+ asset classes. We're paid only from the profit they make you.

50+asset classes
2.1 msmedian order latency
strategies live
--:--:--US session
SCROLL

The lifecycle

Four stages. One model stack. No hand-offs between desks.

Most funds split research, testing, execution and reporting across teams and tools. Ours run as one continuous loop, and every stage feeds the next one's training data.

1

Backtesting

Models propose strategies and test them against 20 years of tick, options and fundamentals data — with survivorship bias, slippage and borrow costs modelled, not assumed away.

Strategies evaluated per day~40,000
2

Forward testing

Survivors trade paper capital against the live book for weeks. Anything whose live behaviour drifts from its backtest gets retired automatically.

Minimum paper period30 sessions
3

Live execution

Graduated strategies get real capital, sized by a risk model that watches correlation across the whole book. Orders route via smart order routing to venues with the best fill.

Hard risk limitsPer strat · per book
4

Reporting

Every fill, every decision and the reasoning behind it is written up in plain English and delivered to you daily. Auditable, exportable, no jargon required.

Report cadenceDaily · T+0

The model stack

Frontier models, each doing the job it's actually good at.

We don't ask one model to do everything. Research, risk and execution are different problems with different failure modes, so each gets a model tuned for it and a second model checking its work.

research · reasoning models

Hypothesis generation

Reads filings, transcripts, macro prints and order-flow anomalies, then writes testable strategy specs — in code, with stated assumptions.

  • long-context
  • tool use
  • code gen
risk · time-series transformers

Regime and risk detection

Classifies the current market regime and sizes exposure accordingly. Trained on volatility clusters, not just returns, so it cuts risk before the drawdown, not after.

  • regime classifier
  • correlation model
  • tail-risk
execution · RL agents

Order placement

Reinforcement-learned agents decide how to work an order — venue, size, timing — to minimise market impact against a live limit-order-book simulator.

  • SOR
  • impact model
  • sub-ms inference

Markets

50+ asset classes, one book, US sessions.

Breadth is a risk tool, not a marketing number. When equities and rates move together, a strategy in agricultural futures or volatility products keeps the book uncorrelated.

Every class below is traded live today; the number is how many instruments we cover within it.

1,900US equitiesLarge, mid and small cap, plus ADRs
640Equity optionsSingle-name and index, weeklies to LEAPS
380ETFsSector, factor, leveraged and inverse
42Index futuresES, NQ, RTY, YM and micros
28RatesTreasury futures, SOFR, eurodollar legacy
31EnergyCrude, products, natural gas, power
19MetalsPrecious and base
24AgricultureGrains, softs, livestock
14FX futuresMajors and crosses
11VolatilityVIX futures and options
16Crypto futuresCME-listed BTC and ETH products
90+Fixed incomeTreasuries, IG and HY credit ETFs

How we get paid

We survive on the same thing you do: realised profit.

There's no management fee and no platform fee. If the book doesn't make money in a quarter, we don't invoice. It keeps our incentives exactly where yours are.

What you pay when we don't perform

0management fee, platform fee, data fee

Your capital sits in your own brokerage account under your name. We have trading authority, never withdrawal authority.

What you pay when we do

Charged quarterly, only on gains beyond your account's previous peak. Losses are recovered before we earn again.

Infrastructure

Built like a trading firm, run like a software company.

Co-located inference, deterministic replay of every trading day, and a change-control process where models — like engineers — ship behind feature flags.

2.1 msMedian tick-to-order latency from our NJ colo
1.8 PBHistorical tick and order-book data in the research lake
100%Trading days replayable bit-for-bit for audit
< 60 sTo flatten the entire book on a human kill command
SOC 2Type II controls across research and execution
3Independent risk checks before any order leaves the building
DailyModel evals against held-out market regimes
24/5Human oversight desk during and around US sessions

Access

We onboard a limited number of accounts each quarter.

Tell us about your capital and constraints. We'll come back within two business days with a paper-trading window so you can watch the book before committing anything.

Accredited investors and institutions. Minimum account $250,000.