AI vs. Analysts: 10 Prompts for Claude That Are Changing the Game in the Stock Market
The market is entering a new era: artificial intelligence is beginning to edge out traditional stock analysts. A developer under the pseudonym Abhi AI has introduced a set of 10 specialized prompts for Claude, which, according to him, enable in-depth company analysis at the level of leading consulting firms. This is not about trading signals, but about a full-fledged research toolkit that was previously only available to institutional investors.
Each of these prompts assigns Claude a specific role and a set of parameters for analyzing an issuer. Together, they cover the full analysis cycle—from a general business overview to a detailed assessment of risks and management quality. This is not just automation, but an attempt to replicate the methodology of a Wall Street analyst.
The First Five: From Business Model to Valuation
The first prompt turns Claude into a senior analyst who prepares a beginner-friendly research report on a company. It covers the business model, revenue sources, industry trends, competitors, financial results, and bull/base/bear scenarios. The key requirement is to rely on recent public sources, clearly separating facts from assumptions.
The second prompt focuses on breaking down the latest earnings call: five main takeaways, revenue and margin trends, management guidance, management tone, surprises, and a table of key metrics with explanations. The third sets Claude up as a skeptic who looks for red flags in revenue, margins, cash flow, debt, and insider actions, assigning each issue a severity rating from 1 to 10.
The fourth and fifth prompts are dedicated to competitive advantages and valuation. One measures the company's "moat"—brand, network effects, switching costs, scale, and intellectual property—and compares it with competitors. The other compares multiples (P/E, EV/Revenue, EV/EBITDA) and determines whether the company is overvalued or not.
The Second Five: From DCF to a Beginner's Checklist
The sixth prompt helps build realistic assumptions for a DCF model: bear, base, and bull scenarios for revenue growth, margins, and discount rate, with an explanation of the logic. The seventh creates a catalyst calendar for 3, 6, and 12 months: reports, product launches, regulatory decisions, lawsuits, macro events, buybacks, and dividends.
The eighth prompt evaluates the management team: the CEO's track record, the CFO's reliability, forecast accuracy, transparency, capital allocation, and compensation. The ninth simulates an investment committee debate, where Claude creates a bull analyst and a bear analyst, with a neutral judge summing up. The tenth prompt turns Claude into a patient teacher who explains the company in simple terms and forms a checklist for a beginner.
My expert opinion: This set of prompts is not just hype, but a real step toward democratizing fundamental analysis. However, it's important to understand: AI is excellent at structuring data and generating hypotheses, but final verification and decision-making remain with the human. The market is not just numbers, but also crowd psychology, which algorithms are not yet fully capable of capturing. Use these tools as an amplifier of your intelligence, not as a replacement for critical thinking.