Frmr Finance is now available in beta and showcases its capabilities with a preliminary dataset scoped for just the Mag7 stocks, but the system is built to be scalable and is simple to extend to the entire S&P500 & Nasdaq Composite indices and beyond.
building Frmr Finance involved a few main processes:
-- a very long conversation with Claude Opus 4.8
-- a back-and-forth of relaying prompts from that conversation to Framer Agents while building out this system within the Framer environment
-- deployment of three (3) CloudFlare Workers
---- SEC EDGAR worker for quarterly reports data
---- news articles pipeline worker to integrate content process
---- market data api for quotes and high-level data
(the latter two are source-agnostic and configurable)
Anthropic API connection to kick the news articles from their source to our system and back out for a process of generating sentiment analysis + summarial content and then back into our site in order to offer unique value, which can be expanded on in much more sofisticated ways now that everything is wired up.