AI analyst for pennies: 10 prompts for Claude that will replace expensive stock gurus
The market for analytical services is undergoing a tectonic shift. A set of ten specialized prompts for Claude enables deep fundamental analysis of companies at the level of leading consulting firms — without the need to hire a team of expensive analysts. This is not just routine automation; it is the democratization of access to institutional-quality research.
The first prompt turns Claude into a senior analyst capable of preparing a research report on any company that is understandable even to a beginner. It covers the business model, revenue sources, industry trends, competitive landscape, financial metrics, valuation, growth drivers, and bull/base/bear scenarios. The key requirement is reliance solely on fresh public data with a clear separation of facts and assumptions.
The second prompt focuses on dissecting the company's latest earnings call: five main takeaways, revenue and margin dynamics, management guidance, management tone, analyst concerns, and unexpected surprises. The result includes a table of key metrics with an explanation of why each indicator matters to an investor.
The third prompt activates a "skeptical analyst" mode that purposefully seeks red flags: issues with revenue, margins, cash flow, debt burden, equity dilution, insider transactions, and management phrasing. Each issue is assigned a severity rating, and a total 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 other compares multiples (P/E, forward P/E, EV/Revenue, EV/EBITDA) and determines whether the company is overvalued, undervalued, or fairly valued.
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 parameter in detail.
The seventh prompt creates a catalyst calendar for 3, 6, and 12 months ahead: earnings reports, product launches, investor days, regulatory decisions, lawsuits, macro events, management changes, buybacks, and dividends. For each event, it specifies timing, potential impact, upside and downside risks, confidence level, and source of information.
The eighth prompt evaluates the management team: CEO track record, CFO credibility, forecast accuracy, transparency, capital allocation, M&A activity, insider ownership, and compensation structure. The ninth prompt simulates an investment committee debate, where Claude creates a bull analyst and a bear analyst, and a neutral judge summarizes which position is more strongly argued.
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. It concludes with a beginner's checklist that structures the process of independent research.
Cryptalist's Comment: This set of prompts is a powerful tool for the retail investor, but not a panacea. Claude, like any LLM, can hallucinate and rely on outdated data. Final verification of numbers and making investment decisions remain solely with the human. However, the very ability to conduct multi-level fundamental analysis in minutes instead of days is a game-changer for the industry.