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 carefully crafted prompts for Claude enables deep fundamental analysis of companies and crypto projects at the level of leading consulting firms — all without hiring expensive specialists. These queries do not provide "buy" or "sell" recommendations, but structure the research so that the investor receives a full-fledged analytical product.
Each prompt assigns Claude a specific role and a set of parameters for analysis. Together, they cover the complete cycle: from a general business overview to a detailed assessment of risks and management quality.
The First Five: From Overview to Valuation
The first prompt turns Claude into a senior analyst who prepares a research report on a company or ticker that is understandable for a beginner. It covers the business model, revenue sources, industry trends, competitors, financial results, valuation, growth drivers, risks, and bull/base/bear scenarios. The key requirement is to rely on recent public sources, indicate dates, and clearly separate facts from assumptions.
The second prompt breaks down the company's latest earnings call: the top five takeaways, changes in revenue, margins, management guidance, management tone, analyst concerns, positive and negative surprises. It also creates a table of key metrics with the current and previous results and an explanation of why each is important.
The third prompt configures Claude as a skeptical analyst who looks 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 given at the end.
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 using 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 of 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: 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 at the end, 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 status regarding profitability, growth, debt, and valuation. At the end, a beginner's checklist is formed.
My expert opinion: This set of prompts is not just a tool, but a methodology. It disciplines the investor's thinking, forcing them to go through all stages of professional analysis. However, critical verification of data and the final decision always remain with the human. AI is a powerful assistant, but not a replacement for common sense and experience.