Claude AI Analyst: 10 prompts that replace an entire stock research department
The market for analytical services is undergoing a tectonic shift. A specialist under the pseudonym Abhi AI has introduced a set of 10 prompts that transform the Claude language model into a full-fledged stock market analyst on par with leading consulting firms. This is not about trading signals, but about deep fundamental analysis that previously cost thousands of dollars.
The presented collection covers the full cycle of company research—from a general business overview to a detailed assessment of risks and management quality. Each prompt assigns Claude a specific role and a set of parameters for analysis. These are not just queries, but entire analytical frameworks.
The First Five: From General Overview to Valuation
The first prompt assigns Claude the role of a senior analyst preparing a beginner-friendly research report on a company or ticker. It covers the business model, revenue sources, industry trends, competitors, financial results, valuation, growth drivers, risks, and bull/base/bear scenarios. A key requirement is to rely on recent public sources, include dates, and clearly separate facts from assumptions.
The second prompt breaks down the company's latest earnings call: five main takeaways, changes in revenue, margins, management guidance, management tone, analyst concerns, pleasant and unpleasant surprises. It also generates a table of key metrics with current and previous results, along with an explanation of why each matters.
The third prompt turns Claude into a skeptical analyst searching for red flags in revenue quality, margins, cash flow, debt, dilution, insider actions, and management language. Each issue is assigned a severity rating, and a final risk score from 1 to 10 is provided.
The fourth and fifth prompts focus on competitive advantages and valuation. One assesses the company's "moat"—brand, network effects, switching costs, scale, intellectual property—on a scale and compares it with competitors. The second compares the company with competitors on multiples (P/E, forward P/E, EV/revenue, EV/EBITDA) and explains whether it appears cheap, fairly valued, or expensive.
The Second Five: From DCF Model to a Beginner's Checklist
The sixth prompt helps build realistic assumptions for a discounted cash flow (DCF) model—a method for valuing a company based on future earnings. It generates bear, base, and bull scenarios for revenue growth, margins, tax rate, capital expenditures, and discount rate, explaining the logic behind each assumption.
The seventh prompt creates a catalyst calendar for 3, 6, and 12 months: earnings reports, product launches, investor days, regulatory decisions, lawsuits, macro events, management changes, buybacks, and dividends. For each event, it specifies timing, impact, upside and downside risks, confidence level, and source.
The eighth prompt evaluates the management team: the CEO's track record, the CFO's credibility, forecast accuracy, transparency, capital allocation, acquisitions, insider ownership size, and compensation. The ninth prompt simulates an investment committee debate, where Claude creates a bull analyst and a bear analyst, and a neutral judge explains which position is better supported.
The tenth prompt turns Claude into a patient teacher who explains the company in simple terms: what it does, how it makes money, what could go right and wrong, and its profitability, growth, debt, and valuation. A beginner's checklist is provided at the end.
My comment as an analyst: This collection is not just a set of queries, but a well-thought-out methodology that structures the research process. However, it is important to understand: Claude is a powerful tool for initial analysis and idea generation, but it does not replace human data verification and contextual market understanding. The final decision always rests with the investor, and AI is merely an accelerator, not a substitute for critical thinking.