AI Analyst for Pennies: How 10 Prompts for Claude Replace Expensive Market Experts
The market for analytical services is undergoing a tectonic shift. A set of ten specialized prompts for the Claude language model enables fundamental analysis of stocks and cryptocurrencies at the level of leading consulting firms. This is not just automation—it is the democratization of access to deep research that was once the prerogative of institutional investors with multi-million dollar budgets.
From General Overview to Valuation: The First Five Prompts
The first prompt turns Claude into a senior analyst capable of preparing a research report understandable even to a beginner. It covers the business model, revenue sources, industry trends, competitors, financial results, and valuation. At the same time, the model strictly separates facts from assumptions, relying only on fresh public data.
The second tool breaks down the company's latest earnings call: five key takeaways, revenue and margin dynamics, management forecasts, leadership tone, analyst concerns, and surprises. The result is a clear table of metrics with an explanation of their significance.
The third prompt is a "skeptical analyst" that scans for red flags: revenue quality, margins, cash flow, debt burden, equity dilution, insider actions, and management wording. Each issue is assigned a severity rating, and a final risk score is given on a scale from 1 to 10.
The fourth and fifth prompts focus on 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, EV/Revenue, EV/EBITDA) and concludes whether the company is overvalued, undervalued, or fairly valued.
From DCF to a Beginner's Checklist: The Second Five
The sixth prompt helps build realistic assumptions for a discounted cash flow (DCF) model. It creates bearish, base, and bullish scenarios for revenue growth, margins, tax rate, CAPEX, and discount rate, explaining the logic behind each parameter.
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. For each event, it specifies timing, impact, upside and downside risks, confidence level, and source.
The eighth prompt evaluates the management team: CEO track record, CFO reliability, forecast accuracy, transparency, capital allocation, M&A, insider ownership, and compensation. The ninth simulates an investment committee debate: Claude creates a bull analyst and a bear analyst, while 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. At the end, a beginner's checklist is formed.
My professional opinion: This set of prompts is a powerful tool for structuring research, but it is critically important to remember: it does not replace due diligence. Claude can generate brilliant hypotheses, but data verification and decision-making remain with the human. In a market where information is the main currency, such tools provide an undeniable advantage to those who know how to use them.