The End of Human trading
Systems fully autonomous and capable of finding alpha and executing on this opportunities.
We are launching our SDK that can be used by builders or user of tools like Claude Code and OpenClaw.
None of these AI slop startups seem to be run by finance people, they are run by LLM people who don't understand that hedge funds don't just run pattern recognition on candlesticks, and don't appreciate the instability of distributions in financial data.
This xkcd is still true
The sharpe ratio is a clear overfit
The issue is using the agents for trading.
Even if you retrain, they have look ahead bias inside the weights, you cannot leave it.
Plus their nature of sampling make them unusable for trading
We built a hedge fund where every single trade is made by AI.
No human portfolio managers.
No manual research.
No one writing trading code.
Just a reasoning model that reads the world, thinks for itself, and trades before humans can.
Early results in testing: 2.55 Sharpe ratio. 2.79 Sortino ratio. Market neutral. $50M+ capacity.
Here's how we got here 🧵
LLMs cannot be used for trading.
While they can simplify a lot of the work in hypothesis formulation or assist with coding, LLMs introduce risks like lookahead bias and overfitting in backtests.
Some of this issues cannot be avoided, and the newer models are worse at this.
I read the code. And it's garbage.
Spoiler, they even use gpt-4o as the model.
Let me show you what "high-frequency trading" means to them.
Another repo down
I read the code. And it's garbage.
Spoiler, they even use gpt-4o as the model.
Let me show you what "high-frequency trading" means to them.
Another repo down
🚨BREAKING: Researchers from Stony Brook, CMU, Yale, UBC, and Fudan just open-sourced a multi-agent LLM system built specifically for high-frequency trading analysis.
It's called QuantAgent and it runs four specialized AI agents simultaneously each analyzing a different dimension of the market then synthesizes everything into a single actionable trade decision with entry points, exit points, and stop-loss thresholds.
Link in the comments + details about this 👇
This is a Flask app that fetches Yahoo Finance data, renders matplotlib charts, and asks GPT-4o to write trading opinions.
12 files. Four LLM prompts in a line. A web UI.
That's QuantAgent.