Wall‑Street prompts for stock research
Several users posted detailed, Wall‑Street‑style prompts to dissect tickers—asking for moats, financials, and 12–24 month scenarios—which people are using to run deeper, structured equity research. (x.com) (x.com)
A crop of Wall Street-style prompts is spreading across social platforms, turning one-line ticker questions into multi-part stock research briefs with moats, financials, and scenario tables. (openai.com) The prompts ask models to work like equity analysts: break down revenue growth, margins, debt, cash flow, competitive position, valuation, and 12- to 24-month bull, base, and bear cases. Similar templates now appear across investing guides and prompt libraries aimed at retail users. (tickernerd.com) (prospero.ai) The shift comes as consumer artificial intelligence products pitch “deep research” as a built-in workflow rather than a chatbot answer. OpenAI says ChatGPT’s deep research browses sources and produces citation-rich reports, while Perplexity says its Deep Research runs dozens of searches and reads hundreds of sources for a single report. (openai.com) (perplexity.ai) On Wall Street, that format mirrors the basic shape of an initiating-coverage note: what the company does, where its edge comes from, what the numbers say, and what could change over the next year or two. Anthropic’s Equity Research plugin markets the same workflow for earnings analysis, bull-and-bear framing, and idea generation. (claude.com) The appeal is speed. A structured prompt can force an artificial intelligence model to compare filings, summarize earnings calls, list catalysts, and present risks in a consistent order, which is closer to a checklist than a casual chat. (chatgpt.com) (prospero.ai) That does not make the output investment-grade on its own. OpenAI says users can curate approved sources, and investing guides that publish these templates warn that models still need verified filings, timestamps, and human review before anyone acts on an answer. (chatgpt.com) (tickernerd.com) The wider change is that retail investors now have access to research scaffolding that used to sit behind terminals, templates, or junior-analyst labor. Anthropic launched a financial-services package in July 2025, and OpenAI’s collaboration with Rogo targeted investment banks, private equity firms, and hedge funds in June 2025. (anthropic.com) (rogo.ai) What is spreading online is not a stock pick so much as a format: ask for the moat, force the model to show the numbers, and make it defend a 12- to 24-month case with sources. (openai.com) (claude.com)
