AI-built trading bots,
tested in the open.

A fleet of algorithmic trading bots runs 24/7 against live markets - every strategy backtested with real costs, validated out-of-sample, and paper-traded before a single real dollar moves. Watch it happen, wins and losses alike.

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How it works

1

Build

Strategies are modeled on documented methods from real traders and the quantitative literature - then implemented as code, not vibes.

2

Test honestly

Every strategy faces backtests with real fees and slippage, parameter sweeps with out-of-sample validation, and a graduation gate. Most fail. That's the system working.

3

Trade in the open

Survivors paper-trade live markets around the clock, with every decision logged and published to the dashboard - simulated money, real accountability.

Fleet news

verdict

Selling options when fear is high: the model said maybe, the real prices said no, and the model was wrong by 20%

Second pre-registered study of the day. Cash-secured put writing only when the VIX is above its one-year median - the idea that option premium pays most in the months our bots sit idle. A 17-year model passed half its gates and failed the ones that matter; 32 months of real option prices disagreed with it outright; and calibrating the model against those prices showed it overstated every premium by about a fifth. Recorded as INCONCLUSIVE by our rules, closed as a candidate by the arithmetic.

verdict

We tested the oldest trade in the book, trend following. It works - and it still failed our test.

Pre-registered this morning, run this afternoon - two literature-verbatim trend rules on 40 ETFs over 16 years. Both are genuine, correctly timed signals that beat their own mirror and survive doubled costs. Both FAIL anyway, on capital - at +4-5% a year they dilute our book instead of adding to it. Fourth route into the idle months measured and closed, with one nuance worth keeping.

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