AI Analyst for Pennies: 10 Prompts for Claude That Replace Expensive Stock Experts
The market for analytical services is undergoing a tectonic shift. A set of ten specialized prompts for Claude, recently published online, allows any investor to conduct deep fundamental analysis of companies and crypto projects at the level of leading consulting firms. These queries do not provide ready-made trading recommendations—they structure the research process the way professional analysts with six-figure salaries do.
The First Five: From General Overview to Valuation
The first prompt turns Claude into a senior analyst capable of preparing a research report on any ticker that is understandable even to a beginner. It covers the business model, revenue sources, industry trends, competitive landscape, financial results, and bull/base/bear scenarios. A key requirement is reliance on fresh public sources with a clear separation of facts and assumptions.
The second prompt deconstructs the latest earnings call: five main takeaways, revenue and margin dynamics, management forecasts, leadership tone, and surprises for analysts. The output is a table of key metrics with an explanation of why each is important for valuation.
The third prompt sets Claude to skeptic mode. It seeks out red flags in revenue quality, margins, cash flow, debt load, dilution, insider transactions, and management phrasing. Each issue is assigned a severity rating, and a final risk score is given on a scale from 1 to 10.
The fourth and fifth prompts focus on competitive advantages and fair value. The first assesses the company's "moat"—brand, network effects, switching costs, scale, intellectual property—and compares it to competitors. The second compares multiples (P/E, forward P/E, EV/Revenue, EV/EBITDA) and determines whether the company is overvalued, undervalued, or fairly priced.
The Second Five: From DCF to a Beginner's Checklist
The sixth prompt helps build realistic assumptions for a discounted cash flow (DCF) model. It generates bear, base, and bull scenarios for revenue growth, margins, tax rate, capex, 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 level, upside and downside risks, confidence level, and source.
The eighth prompt evaluates the management team: CEO track record, CFO reliability, forecast accuracy, transparency, capital allocation, M&A activity, insider ownership, and compensation structure. The ninth simulates an investment committee debate, where Claude creates a bull analyst and a bear analyst, with a neutral judge summarizing the outcome.
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 how things stand with profitability, growth, debt, and valuation. At the end, a beginner's checklist is formed.
My professional opinion: This collection is not just a set of queries but a methodological revolution. It democratizes access to high-quality fundamental analysis, which was previously the prerogative of institutional investors. However, critical verification of data and the final investment decision remain with the human. AI is a powerful tool, but not a substitute for common sense and due diligence.