From hypothesis to astrategy that holds up.
Describe an idea in plain language. The loop turns it into code, tests it twice, and brings the results back for the next revision.
01
Start with a hypothesis.
Write what you want to test in plain language: a market observation, a pattern, a question.
02
The model writes the code.
Your sentence becomes a Python strategy that runs on the platform’s own engine.
03
Test it on history.
The strategy runs in an isolated sandbox against our historical data.
04
Then on the live market.
It trades with simulated orders on real-time data, so it meets conditions history cannot show.
05
Send the results back.
The model reads the results and proposes revisions. You decide what to keep.
06
Connect only what holds up.
A strategy that survives both tests can be connected to live trading.
- 01Idea
- 02Code
- 03Backtest
- 04Paper trading
- 05Refine
- 06Live
↻ Iterate until it holds up
> hypothesis: do themes that lead on day one still lead on day three?
> writing strategy code · Python
> backtest · isolated sandbox · historical data
> paper trading · real-time data · simulated orders
> results sent to the model · revision proposed
> held up in both tests · ready to connect
Illustrative log, not a real run.
What stays with the trader.
You decide what to test.
The model drafts and revises. The hypothesis, and the call on what to keep, are yours.
Tested before trusted.
A strategy reaches live trading only after a backtest and a paper-trading run.
Evidence, not advice.
We publish no stock picks and no investment advice. The output is evidence for research.
Bring a hypothesis.
Research services are planned within 6–12 months. Tell us what you would want to test.