// Use case
Build and backtest a Python strategy.
Go from a blank editor to a first backtest without setting up an engine or environment. Write Python, declare your parameters, run the backtest, and inspect exactly what happened.
// The workflow
From idea to first backtest.
Write it in Python
Author a strategy class against a typed SDK in the browser, with parameters declared up front and AI assistance available.
Run a backtest
Event-driven backtest over a historical window, with modeled spread and slippage and real market calendars.
Version it
Publishing creates an immutable, checksummed version. Every run ties back to the exact code that produced it.
Inspect the result
Orders, fills, positions, ledger, classified issues, and logs, the evidence behind the number.
// Go deeper
Learn the details.
// Access
Run your first backtest.
We onboard in focused cohorts. Tell us what you trade and how you work. Live access is rolled out to select users on request.