A trading signal can look promising on paper. The harder part is figuring out how much weight it deserves and whether it can anchor a strategy.
MANTIS (SN123) wants to see how far the latest AI models can take that research when they have room to test an idea, learn from the results, and try again.
LOOP, a new challenge from the decentralized market-making engine on Bittensor, goes live on November 14. It rewards builders for creating automated research workflows that use frontier language models to develop trading models.
In a workflow like this, an AI model could propose a change, evaluate how it performs, and use the result to decide what to test next.

The MANTIS (SN123) team believes that with relevant market context and an environment where ideas can be tested, today’s models can help shape trading strategies and judge which signals are stronger. LOOP gives builders a chance to find out how much those models can contribute to the research.
Enjoyed this article? Join our newsletter
Get the latest TAO & Bittensor news straight to your inbox.
We respect your privacy. Unsubscribe anytime.
Enjoyed this article?
Join our newsletter
Get the latest TAO & Bittensor news straight to your inbox — every morning before markets open.





No comments yet — be the first.