AI vs. Traditional Analysts: 10 Prompts for Claude That Are Changing the Game in the Stock Market
The market for analytical services is undergoing a tectonic shift. An author under the pseudonym Abhi AI has introduced a set of 10 specialized prompts for Claude that, in my assessment, can elevate the fundamental analysis process to the level of leading consulting firms. These queries do not provide buy or sell recommendations, but they systematize company research in the same way highly paid Wall Street analysts do.
The first prompt assigns Claude the role of a senior analyst, requiring it to prepare a research report on a ticker that is understandable to a beginner. It covers the business model, competitive landscape, financial results, and bull/base/bear scenarios. The second breaks down the company's latest earnings call, extracting key metrics, management tone, and unexpected surprises. The third turns the AI into a skeptic that looks for "red flags" in revenue, margins, cash flow, and debt, assigning each issue a severity rating from 1 to 10.
Valuation and Competitive Advantage Assessment
The fourth and fifth prompts focus on competitive moats and multiples. The first evaluates brand, network effects, switching costs, and intellectual property, comparing them with competitors. The second compares the company with peers based on P/E, EV/EBITDA, and other ratios, delivering a verdict: cheap, fair, or expensive.
From DCF to a Beginner's Checklist
The sixth prompt helps build realistic assumptions for a discounted cash flow (DCF) model, forming bearish, base, and bullish scenarios. The seventh creates a catalyst calendar for 3, 6, and 12 months: reports, launches, regulatory decisions. The eighth evaluates the management team, and the ninth simulates an investment committee debate, where Claude creates a bull analyst and a bear analyst, and a neutral judge summarizes.
The tenth prompt is the gem of the collection. It turns Claude into a patient teacher, explaining the company in simple terms: what it does, how it makes money, and what could go right or wrong. At the end, a checklist for beginners is formed.
My professional opinion: This collection is not just a set of queries, but a full-fledged methodology. It structures the chaos of data into systematic analysis that previously required a team of junior analysts. However, it is critically important to remember: AI is a tool, not a replacement for common sense. Final data verification and responsibility for the decision always remain with the investor.