AI Revolution in Analytics: 10 Prompts for Claude That Replace an Entire Stock Analyst Department
The market for analytical services is undergoing a tectonic shift. A specialized set of ten prompts for Claude enables deep fundamental analysis of companies and crypto projects at the level of leading consulting firms — all without the need to hire expensive analysts. This is not about trading signals, but a full-fledged research cycle that previously cost investors thousands of dollars.
Each of the ten prompts assigns Claude a specific role and set of parameters for analysis. The first one turns the AI into a senior analyst capable of preparing a research report understandable to a beginner: from the business model and revenue sources to industry trends and bull/base/bear scenarios. The key requirement is reliance on fresh public sources 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 tone, pleasant and unpleasant surprises. A table of key metrics is formed with an explanation of why each one is important. The third prompt is the skeptical analyst mode, which seeks out "red flags": issues with revenue quality, margins, cash flow, debt, capital dilution, and insider actions. Each issue is assigned a severity rating, and at the end, an overall risk score from 1 to 10.
From Valuation to Investment Debates
The fourth and fifth prompts are dedicated to competitive advantages and valuation. The first assesses the company's "moat" — brand, network effects, switching costs, scale, intellectual property — and compares it with competitors. The second compares multiples (P/E, forward P/E, EV/Revenue, EV/EBITDA) and determines whether the company is overvalued, undervalued, or fairly valued.
The sixth prompt helps build realistic assumptions for a DCF (Discounted Cash Flow) model — bearish, base, and bullish scenarios for revenue growth, margins, tax rate, capital expenditures, and discount rate. The seventh 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.
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, and compensation. The ninth simulates an investment committee debate, where Claude creates a bull analyst and a bear analyst, and a neutral judge explains which position is more strongly supported. Finally, the tenth prompt turns Claude into a patient teacher who explains the company in simple language and forms a checklist for a beginner.
My expertise: This collection is not just a set of queries, but a full-fledged methodology that structures the research process. However, it is important to understand: AI is a powerful tool for initial analysis and hypothesis generation, but the final verification of data, especially regarding on-chain metrics and fundamental factor assessment for crypto projects, remains with the investor. The market is too dynamic to fully delegate analysis to a machine.