Claude AI Analyst Challenges Traditional Stock Analysts: 10 Prompts for Deep Market Research
The market for analytical services is undergoing a tectonic shift. A set of 10 specialized prompts for Claude enables fundamental analysis of companies at the level of leading consulting firms, potentially replacing expensive equity and cryptocurrency analysts. These queries do not provide trading recommendations, but structure the research process with daunting depth.
The presented set covers the full analysis cycle—from a general business overview to detailed risk assessment and management quality evaluation. Each prompt assigns the AI a strictly defined role and a set of parameters for analysis, allowing for structured and reproducible results.
The First Five: From General Overview to Valuation
The first prompt turns Claude into a senior analyst capable of preparing a research report on a company or ticker that is understandable to a beginner. It covers the business model, revenue sources, industry trends, competitors, financial results, valuation, growth drivers, risks, and bull/base/bear scenarios. The query requires reliance on recent public sources, specifying dates, and clearly separating facts from assumptions.
The second prompt dissects 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 the current and previous results and an explanation of why they matter.
The third prompt turns Claude into 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 score, and a final risk score from 1 to 10 is provided 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 calendar of catalysts 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 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 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 profitability, growth, debt, and valuation. A beginner's checklist is generated at the end.
My expert opinion: This set of prompts is not just a tool, but a methodology. It systematizes the due diligence process, making it accessible to retail investors. However, the key risk remains: Claude can hallucinate data or become outdated in rapidly changing market conditions. Final verification of numbers and decision-making always remain with the human.