Your AI trading strategy factory.

Yes. When you enable Autopilot, the AI research agent can propose new hypotheses and start them through the development pipeline. It uses the context and prior outcomes available to your workspace. Credits, daily launch limits and available capacity still apply. You can also submit your own ideas, and every strategy remains subject to testing and review.

They are AI-powered software agents, each assigned a role in strategy development: research, coding, QA, analysis, risk review or portfolio review. Backtesting and verification engines run the simulations and automated checks that inform those reviews. Strategies must pass the applicable admission and release checks before paper trading; an AI recommendation alone does not enable live trading.

You can start in plain language. An AI research agent develops your hypothesis, an AI developer writes the code, and AI QA and analyst agents review the implementation and results. Trading knowledge helps you judge their work, assumptions and risks.

Research and paper trading use simulated funds. Live execution is a separate, restricted workflow requiring explicit authorization and a configured trading account. It is not enabled by starting a research run or buying a plan, and real capital can be lost if live trading is enabled.

We use sensitivity analysis, walk-forward and holdout tests, plus checks such as deflated Sharpe and backtest-overfitting probability. Validity gates and risk review govern promotion; some quality thresholds allow reviewed exceptions. These checks cannot guarantee future performance.

Backtests use configured venue fees and models for fills and applicable financing and margin costs. Review the data coverage and assumptions with the report: historical simulations cannot reproduce every live execution condition.

The research pipeline supports crypto futures, spot, options, equities and prediction markets. Instruments, history and paper-trading support vary by venue. Check the Data and market pages for coverage before choosing a strategy.

A prepaid unit of platform usage that meters the AI compute your research consumes. Free plans include a monthly allowance; paid plans include more and never-expiring packs are available.

Yes. You can create a free account without a payment card. The free plan includes a monthly credit allowance, concurrent research capacity and a paper-trading slot. The pricing page lists the current allowances and the options for upgrading.

You can browse public market pages, published strategies and marketplace listings. Read the available reports and evidence before starting your own research. Workspace actions and access to strategy code depend on sign-in, ownership and the applicable access rules.

No. A run may need several revisions or be abandoned after checks or review. Credits meter the AI work performed, so a run can consume credits even if it never reaches paper trading. The useful output may be evidence that an idea should not be pursued.

The monthly allowance resets each cycle rather than accumulating. Purchased credit packs do not expire and are spent after the monthly allowance. Credits are separate from concurrent-run limits and paper slots; adding a pack does not change those plan limits.

Source-code access depends on ownership and the strategy’s sharing or marketplace rules. An available public report does not necessarily include unrestricted code access. Review the access offered for the particular strategy before subscribing to or using it.

There is no fixed completion time. Data requirements, simulation work, agent availability, revisions and reviews all affect the duration. Follow the run’s stage and history in your workspace; starting a run does not guarantee a strategy will be approved.