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Runthesis
Let's find your trading thesis
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.
About Runthesis on Product Hunt
“Let's find your trading thesis”
Runthesis was submitted on Product Hunt and earned 2 upvotes and 2 comments, placing #108 on the daily leaderboard. 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.
On the analytics side, Runthesis competes within Investing, Crypto and Artificial Intelligence — topics that collectively have 542.6k followers on Product Hunt. The dashboard above tracks how Runthesis performed against the three products that launched closest to it on the same day.
Who hunted Runthesis?
Runthesis was hunted by Murtiono Widi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Runthesis including community comment highlights and product details, visit the product overview.
Hey everyone 👋 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! 🙏