AI Analyst for Pennies: 10 Prompts for Claude That Replace Expensive Stock Experts
The market for analytical services is undergoing a tectonic shift. A developer under the pseudonym Abhi AI has introduced a set of 10 specialized prompts for Claude, which, according to him, enable fundamental analysis of companies at the level of leading consulting firms. This is not about trading signals — it is a full-fledged toolkit for in-depth research of the stock market and cryptocurrency assets.
The collection covers the complete analysis cycle: from a general business overview to detailed risk assessment and management quality evaluation. Each prompt assigns Claude a specific role and set of parameters, turning the neural network into a multifunctional analyst. Below is a breakdown of what each one does.
The First Five: From General Overview to Valuation
The first prompt places Claude in the role of a senior analyst preparing a research report on a company or ticker that is understandable for a beginner. It covers the business model, revenue sources, industry trends, competitors, financial results, valuation, growth drivers and risks, as well as bull/base/bear scenarios. A key requirement is to rely on recent public sources, indicate dates, and clearly separate facts from assumptions.
The second prompt analyzes 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 current and previous results and an explanation of why this matters.
The third prompt turns Claude into a skeptical analyst looking for red flags in revenue quality, margins, cash flow, debt, dilution, insider actions, and management language. Each issue is assigned a severity rating, and a total 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 looks 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 for valuing a company based on future earnings. It generates bearish, base, and bullish 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: 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: 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 checklist for beginners is provided at the end.
Expert opinion: This set of prompts is not just hype but a real tool for democratizing access to quality analysis. However, it is important to understand: Claude is a powerful assistant, not a replacement for human judgment. Final data verification, source validation, and, most importantly, making investment decisions remain with the investor. Treat AI conclusions as hypotheses requiring confirmation, not as the ultimate truth.