AI analyst for pennies: 10 prompts for Claude that will replace expensive stock experts
The market for analytical services is undergoing a tectonic shift. While traditional investment banks and consulting firms charge thousands of dollars for their reports, tools capable of democratizing in-depth analysis are emerging. This refers to a set of 10 specialized prompts for Claude that enable company research at the level of leading Wall Street analysts.
This toolkit covers the full cycle of fundamental analysis—from a general business overview to a detailed assessment of risks and management quality. Each prompt assigns Claude a specific role and set of parameters, transforming the neural network into a multi-functional analyst.
The First Five: From Overview to Valuation
The first prompt transforms Claude into a senior analyst capable of preparing a beginner-friendly research report on any public company. 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, clearly distinguishing between facts and assumptions.
The second prompt focuses on dissecting the company's latest earnings call: five main takeaways, revenue and margin trends, management guidance, management tone, analyst concerns, pleasant and unpleasant surprises. It also generates a table of key metrics with explanations of why each indicator matters.
The third prompt turns Claude into a skeptical analyst who looks for red flags in revenue quality, margins, cash flow, debt, share dilution, insider actions, and management language. Each issue is assigned a severity rating, and a final risk score from 1 to 10 is given.
The fourth and fifth prompts focus on competitive advantages and valuation. The first 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 peers using multiples (P/E, forward P/E, EV/Revenue, EV/EBITDA) and determines whether it looks 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. 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: 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, M&A, insider ownership size, and compensation.
The ninth prompt simulates an investment committee debate, where Claude creates a bull analyst and a bear analyst, and at the end, a neutral judge explains whose 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.
Cryptalist's Comment: This toolkit is not just hype but a real paradigm shift. It lowers the barrier to entry for retail investors, providing them with analytical power previously available only to institutions. However, critical data verification and final investment decisions remain with the human. AI is a powerful assistant, but not a substitute for common sense and due diligence.