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![rohanpaul_ai Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::2588345408.png) Rohan Paul [@rohanpaul_ai](/creator/twitter/rohanpaul_ai) on x 74K followers
Created: 2025-07-13 17:28:43 UTC

Another research showing how LLM+price time-series data is helping trading strategies 👇

LLMoE adaptive routing for trading strategies

The LLM-Based Routing in Mixture-of-Experts (LLMoE) framework replaces a conventional softmax router with a language model that chooses between “optimistic” and “pessimistic” sub-experts after reading both price time-series and headline text. On MSFT data from 2006-2016 the approach lifts total return to XXXXX % versus XXXXX % for a classic MoE and raises the Sharpe ratio accordingly, while maintaining full interpretability through the router’s text rationale.

![](https://pbs.twimg.com/media/GvwR-u8WMAAtF62.jpg)

XXXXXX engagements

![Engagements Line Chart](https://lunarcrush.com/gi/w:600/p:tweet::1944448919347642817/c:line.svg)

**Related Topics**
[msft](/topic/msft)

[Post Link](https://x.com/rohanpaul_ai/status/1944448919347642817)