Most n8n "AI agent" builds you see are the same thing in a finance skin. Scrape a lead, draft an email, book a call. A sales bot.
An analyst does not need another bot that talks. They need one that watches and reports. Same tool, different job.
The disciplined version runs three loops. n8n watches, you judge:
-> Monitor sources: 8-K alerts, new filings, earnings transcripts, the specific data series your thesis depends on. One trigger per source, deduped. -> Track thesis drift: every input maps to an assumption you wrote down. When an input moves past your threshold, the workflow flags the assumption it touches. -> Flag exceptions: it does not summarize everything. It surfaces only what crossed a line you set. Silence means nothing crossed it.
The common mistake is asking the agent to conclude. "Is the thesis still good?" Wrong job. That is the failure mode. The model invents a verdict, you trust the fluent sentence, and your judgment quietly leaves the room.
So the workflow ends at a routed exception, never a recommendation. Source, the assumption it hits, the date. You decide if the thesis still holds.
n8n builds the watch. You own the thesis.
Save this and map it to your own thesis before you wire a single node.
Educational content only. Not investment advice, and not a recommendation to buy, sell, or hold any security. Wall Street Prompt.