Words + Returns: Teaching Embeddings to Invest in Themes
TL;DR for operators The paper behind THEME is not really about asking an LLM to “find AI stocks” and hoping it returns a genius portfolio, because that would be the usual theatre with a Bloomberg terminal costume.1 It is about building a retrieval layer that understands investment themes as a special kind of search problem: cross-sector, text-heavy, time-sensitive, and annoyingly allergic to static classification. ...