Idea into code you can run
Describe the trade in plain language. The app writes Python and runs it on your computer, so you can read the code it executed.

A general coding assistant stops at a script. This app carries the idea through data, a local Python run, and a backtest that is allowed to fail.
Atabet is also a quant research desk. Technical analysis, factor studies, event-driven backtests, and market-regime detection are built in as modules on the same workflow. While you work, you can speak directly with a quantitative researcher, so the next step rests on methods that already exist.
Describe the trade in plain language. The app writes Python and runs it on your computer, so you can read the code it executed.
The run includes the checks quants argue about: costs, delay, and whether that fill could have happened. Tables and charts are saved in the open project.
The useful result is a test you can run again. If the idea does not survive the checks, that is the answer. This is research software, not investment advice.
Watch one pass: a trading idea in plain language, market data, a local Python backtest, and a report saved in the project.
Demo video coming soon
Add public/videos/product-demo.mp4 (H.264) to enable playback.
Three steps from a trading idea to code, a backtest, and a file you can open again.
Describe the hypothesis and how you would trade it. You do not start from a blank file.
The agent loads market data and runs Python on your computer, with quant modules that flag unrealistic execution.
The project folder holds the HTML report, table, or chart — the test itself, not only a chat reply.