@itsharmanjot: A TEAM OF AI RESEARCHERS JUST OPEN-SOURCED THE BLOOMBERG TERMINAL FOR QUANT FINANCE. A Bloomberg Terminal costs $25,000…

A TEAM OF AI RESEARCHERS JUST OPEN-SOURCED THE BLOOMBERG TERMINAL FOR QUANT FINANCE. A Bloomberg Terminal costs $25,000 per year per seat. Banks pay for thousands of them. This thing reads every quant paper, every financial blog, every SEC filing, every arXiv preprint, and turns it into a searchable knowledge base. For free. It's called QuantMind. It just got accepted to the NeurIPS 2025 GenAI in Finance Workshop. Here's what it actually does: → Ingests arXiv quant papers, financial news, blogs, and reports automatically → Parses PDFs, HTML, tables, and figures into structured knowledge → Tags every paper by research area and topic → Builds a semantic knowledge graph you can query in plain English → Plugs into DeepResearch, RAG, and MCP for multi-hop reasoning → Two-stage architecture: extract once, retrieve forever Here's the wildest part: The financial research industry publishes around 500 new papers and reports every single day. Hedge funds pay six-figure salaries to junior analysts whose entire job is reading them. QuantMind reads all of it. Tags it. Embeds it. Lets you ask it questions. 154 stars. 22 forks. 173 commits. MIT license. Python. One honest note: this is a framework, not a magic alpha machine. You still need to know what to ask. But the "I haven't read that paper yet" excuse is officially dead. The thing Wall Street charges $25,000 a year for is sitting on GitHub. Free. Link in the comments.