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 houses charge exorbitant fees for their reports, any retail investor can now access analysis of a top consulting firm's caliber. And the key to this is artificial intelligence.
A collection of ten specialized prompts for Claude has emerged within the community, transforming the language model into a full-fledged stock market analyst. This is not just a set of queries, but a structured system covering the complete cycle of company research — from a general business overview to a detailed assessment of risks and management quality.
Fundamental Breakdown: From Business Model to Fair Value
The first five prompts form the core of the analytical process. The first query places Claude in the role of a senior analyst preparing a research report understandable even to a beginner. It covers the business model, revenue sources, industry trends, competitors, financial results, and valuation. Critically, the prompt requires reliance on recent public sources, specifying dates, and clearly separating facts from assumptions.
The second prompt focuses on the company's latest earnings call. It extracts five key takeaways, tracks changes in revenue and margins, records management guidance, and the overall tone of management. The result includes a table of key metrics with an explanation of why each one is important.
The third prompt is perhaps the most valuable tool for a prudent investor. It turns Claude into a skeptical analyst searching for red flags: declining revenue quality, margin erosion, cash flow problems, rising debt, equity dilution, and suspicious insider activity. 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 are dedicated to competitive advantages and valuation multiples. One assesses the company's "moat" — brand, network effects, intellectual property — and compares it with competitors. The second compares the company with peers using multiples (P/E, EV/EBITDA) and concludes whether it is overvalued or undervalued.
Deep Analysis: DCF, Catalysts, and Management Team
The second set of five prompts delves into more complex matters. The sixth query helps build realistic assumptions for a Discounted Cash Flow (DCF) model. It generates bearish, base, and bullish scenarios for revenue growth, margins, tax rate, and discount rate, explaining the logic behind each.
The seventh prompt creates a calendar of catalysts for 3, 6, and 12 months: reports, product launches, investor days, regulatory decisions, lawsuits, macro events, share buybacks, and dividends. For each event, it specifies timelines, impact, upside and downside risks, confidence level, and source.
The eighth prompt evaluates the management team — the CEO's track record, the CFO's reliability, forecast accuracy, transparency, capital allocation, insider ownership size, and compensation system. The ninth prompt simulates an investment committee debate, where Claude creates a bull analyst and a bear analyst, with a neutral judge summarizing the outcome.
Finally, the tenth prompt turns Claude into a patient teacher, explaining 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. A checklist for beginners is formed at the end.
My view as an analyst: This collection is a powerful tool for structuring research, but it does not eliminate the need for data verification. Claude can hallucinate numbers, especially when dealing with lesser-known companies. Use the prompts as a framework for analysis, but always retain final fact-checking and, most importantly, the investment decision for yourself. The market does not forgive blind trust, even in the smartest AI.