AI Analyst for Pennies: 10 Prompts for Claude That Replace Expensive Consultants
The market for analytical services is undergoing a tectonic shift. A developer under the pseudonym Abhi AI has introduced a set of 10 prompts for Claude, which, according to him, can replicate the functionality of leading consulting firms in stock and cryptocurrency analysis. This is not just a collection of queries—it is a full-fledged toolkit that replaces analysts for stocks and digital assets. It is important to emphasize: the prompts do not provide trading recommendations but serve for in-depth research.
The First Five: From Business Overview to Valuation
The first prompt assigns Claude the role of a senior analyst, requiring it to prepare a research report on a company or ticker that is understandable even to a beginner. It covers the business model, revenue sources, industry trends, competitors, financial results, valuation, growth drivers, risks, and bull/base/bear scenarios. Critically, the prompt requires reliance on recent public sources, specifying dates, and clearly separating facts from assumptions.
The second prompt breaks down the latest earnings call of the company: five key takeaways, changes in revenue and margins, management guidance, management tone, analyst concerns, pleasant and unpleasant surprises. A table of key metrics is generated with current and previous results and an explanation of why it matters.
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 rating, and at the end, an overall risk score from 1 to 10.
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 on multiples (P/E, forward P/E, EV/revenue, EV/EBITDA) and determines whether it looks cheap, fairly valued, or expensive.
The Second Five: From DCF Model to 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 catalyst calendar for 3, 6, and 12 months: earnings reports, product launches, investor days, regulatory decisions, lawsuits, macro events, management changes, buybacks, and dividends. For each event, timelines, impact, upside and downside risks, confidence level, and source are specified.
The eighth prompt evaluates the management team: CEO track record, CFO 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 how things stand with profitability, growth, debt, and valuation. At the end, a beginner's checklist is generated.
My analysis: This set of prompts is not just hype but a real tool for democratizing access to quality analysis. However, critical verification of data and the final investment decision remain with the human. AI is a powerful assistant, but not a replacement for professional judgment, especially in the volatile cryptocurrency markets.