What does this tool do?
It generates a detailed, personalized execution plan for any U.S. stock — including entry points, stop loss, profit targets, position sizing, and even options strategies.
It can also discover customized trading opportunities and update them as needed (though most of the time, it simply says: no opportunities right now… which is useful too).
Both types of reports come with full explanations. You should not treat this as financial advice or blindly follow it — but as a rational second opinion, it’s solid.
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How is this different from just using GPT?
We go beyond traditional financial data. Our system scrapes and reasons over real-time unstructured data — Twitter, TikTok, Reddit, Snowball, news sources, and Congressional trading disclosures.
We’ve built a TB-scale database and a large knowledge graph to model stock relationships.
On top of that, we’ve developed 500+ historically validated alpha-generating factors (and counting), and built custom analysis agents to interpret them — all wrapped in a personalized interface.
In live trading, this significantly outperforms GPT, as expected.
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Why us?
I used to work as a quant at Merrill Lynch and State Street, then built models at Ant Group. After ChatGPT launched, I had the opportunity to train LLMs and built two B2C AI products. Now I’m fully focused on trading and building this startup. (If you’re in the Bay Area — happy to grab coffee!)
My co-founder is a college classmate who runs a profitable crypto HFT fund (we plan to support crypto strategies later too). Our data lead has deep experience managing PB-scale systems.
Two of our advisors are working at Two Sigma and Jane Street.

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