Launching today

Runthesis
Let's find your trading thesis
13 followers
Let's find your trading thesis
13 followers
Runthesis is a multi-agent LLM trading framework that mimics how a real trading firm works. Different AI agents split the job fundamental, sentiment, news, and technical analysts gather market data, then bullish and bearish researchers debate it to keep things balanced. A trader agent makes the call, risk managers check it's safe, and a fund manager gives final approval before execution.






Hey everyone π Maker here!
I built Runthesis because I was tired of single-prompt "AI stock picker" tools that just spit out a buy/sell call with no visible reasoning. Real trading desks don't work that way they have analysts, researchers who argue both sides, a trader who makes the call, and risk managers who sanity-check it before anything gets executed.
So I built that as a multi-agent system: fundamental, sentiment, news, and technical analysts gather the data, bullish and bearish researchers debate it out, a trader agent synthesizes a thesis, and risk/fund manager agents review before anything goes live.
The goal isn't a black-box signal, it's a transparent thesis you can actually inspect and argue with.
Would love feedback on:
Which asset classes/markets you'd want covered first
Whether you'd trust an agent debate more than a single model's output
Any risk-management features you'd want front and center
Happy to answer anything about how the agents are set up! π