- Scope
- A trading agent that runs on US equities during real market hours, on simulated capital. It is an experiment, not a product: nothing here is for sale and there is nothing to sign up for.
- Autonomy
- Nobody approves its trades. It reads the market, forms a view, decides how much to risk and places the order on its own. A human sets the limits it is not allowed to cross, and then stays out of the way.
- Decision
- Several AI models work on the same question with different jobs — one analyses, one argues against, one summarises. None of them places an order: execution is ordinary deterministic code, which is what makes it auditable.
- Context
- News, company events and macro indicators enter the decision as classified context rather than as free text, so the same event is read the same way twice.
- Validation
- No rule reaches live capital without surviving out-of-sample backtests and overfitting checks. Most candidate rules die here.
- Risk
- Exposure limits, automatic circuit breakers and broker-side protections. The system is built to stop itself, which it has done.
- Audit
- Context, decision, plan, order, execution and outcome stay linked to one another. Any single trade can be reconstructed after the fact.
- Review
- Every day the agent grades what worked and what did not, and adjusts its own weights. Every change is logged.
- Disclosure
- The instruments are named here, open or closed. Position sizes and the selection method are not published — what is under test is how the system behaves, not a list of tips.