Hi everyone, Over the past year I’ve been going deep into AI — models, automation, embeddings, filtering pipelines, workflow orchestration — and I kept asking myself one question: What happens if you apply AI properly to global market analysis? Not as a chatbot. Not as a content generator. But as a structuring engine. So I built an AI-driven markets newsletter where: • AI aggregates and filters cross-asset signals • Models help detect pattern shifts • Automation structures macro narratives • I layer human judgment on top The idea isn’t to predict markets. It’s to reduce noise and integrate signals across fixed income, equities, credit, FX, commodities and alternatives. I’m sharing it here because many of you are building AI tools yourselves, and I’d genuinely value technical feedback on the approach. You can check it out here: https://cubelabs.co/markets/ Happy to answer questions about the stack, the workflow, or the design philosophy. submitted by /u/novenoarte
Originally posted by u/novenoarte on r/ArtificialInteligence
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