AI vs. Analysts: 10 Prompts for Claude That Will Transform Your View of the Stock Market
The market is changing, and so are the tools for analyzing it. While traditional analysts demand exorbitant fees, AI solutions capable of performing their work at a qualitatively new level are entering the stage. I have analyzed a selection of ten specialized prompts that turn Claude into a true "whale" of investment analysis, capable of replacing an entire staff of expensive consultants.
These prompts are not just a set of commands. They are carefully calibrated scenarios, each assigning Claude a strictly defined role and parameters for analysis. They cover the full cycle of company analysis: from initial introduction to in-depth risk assessment and management quality evaluation. And importantly, none of them gives direct "buy" or "sell" recommendations, but merely structures information for independent conclusions.
The First Five: From General Overview to Valuation
Prompt #1 places Claude in the role of a senior analyst. It generates a report understandable even to a beginner: business model, revenue, industry trends, competitors, finances, valuation, growth drivers, and risks. The key requirement is to rely on fresh public data, clearly separating facts from assumptions.
Prompt #2 is an analysis of the company's latest earnings call. Five main takeaways, margin dynamics, management guidance, management tone, surprises, and a table of key metrics with explanations. This is what analysts usually do in several hours, but Claude handles it in minutes.
Prompt #3 turns the AI into a skeptic. It looks for "red flags" in revenue, margins, cash flow, debt, insider actions, and management language. Each issue is assigned a severity rating, and at the end, an overall risk score from 1 to 10 is given. An indispensable tool for due diligence.
Prompts #4 and #5 focus on competitive advantages and valuation. The first assesses the company's "moat" — brand, network effects, intellectual property. The second compares multiples (P/E, EV/EBITDA) with peers, determining whether the company is overvalued or not.
The Second Five: From DCF to a Beginner's Checklist
Prompt #6 involves building assumptions for a DCF (Discounted Cash Flow) model. Three scenarios: bearish, base, and bullish. For each — logic on revenue, margins, taxes, and discount rate. A foundation for independent fair value assessment.
Prompt #7 creates a catalyst calendar for 3, 6, and 12 months: earnings reports, product launches, regulatory decisions, lawsuits, buybacks, dividends. For each event, timelines, impact, risks, and sources are indicated. This allows seeing the whole picture, not just individual pieces.
Prompt #8 evaluates the management team: CEO track record, CFO reliability, forecast accuracy, transparency, capital allocation, insider ownership, and compensation. Management quality is often more important than numbers, and this prompt accounts for that.
Prompt #9 simulates an investment committee meeting: Claude creates two opponents — a "bull" and a "bear," and then a neutral "judge" summarizes which position is stronger. This is a deep hypothesis test without emotions.
Prompt #10 is a "patient teacher" that explains the company in simple language: what it does, how it makes money, what could go well and badly. At the end — a beginner's checklist so they can independently verify their conclusions.
My conclusion as an analyst: The value of this collection lies not in replacing human intelligence, but in structuring chaos. AI takes on the routine of data collection and initial processing, freeing the investor for the main task — decision-making. But remember: final data verification and responsibility for the choice always remain with the human. Technology is a tool, not a replacement for critical thinking.