10 prompts for Claude that replace expensive stock market analysts
The analytics market is undergoing a tectonic shift. A set of ten prompts transforms the AI model Claude into a full-fledged stock and cryptocurrency market researcher, capable of replacing an entire team of consultants. These queries do not provide direct "buy" or "sell" recommendations, but they structure the analysis process at the level of a leading consulting firm.
The first prompt configures Claude to act as a senior analyst. It generates a comprehensive report on a company: from the business model and revenue sources to industry trends and valuation. The key requirement is reliance on fresh public data, a clear separation of facts and assumptions, and the development of bull/base/bear scenarios.
The second prompt focuses on analyzing the latest financial report. The AI highlights five main conclusions, analyzes revenue and margin dynamics, management tone, and unexpected surprises. The result is a table of key metrics with explanations of why each indicator is important for an investor.
The third prompt turns Claude into a skeptic who looks for "red flags": issues with revenue, margins, debt, capital dilution, insider actions, and management wording. Each issue is assigned a severity rating, and a final risk score is given on a scale from 1 to 10.
The fourth and fifth prompts are dedicated to competitive advantages and valuation. The first assesses the company's "moat"—brand, network effects, intellectual property—and compares it with competitors. The second compares multiples (P/E, EV/EBITDA) and determines whether the company is overvalued or undervalued.
From DCF to a Beginner's Checklist
The sixth prompt helps build realistic assumptions for a DCF (Discounted Cash Flow) model. It creates bear, base, and bull scenarios for revenue, margins, taxes, and capital expenditures, explaining the logic behind each.
The seventh prompt creates a catalyst calendar for 3, 6, and 12 months: reports, product launches, regulatory decisions, court cases, macro events, management changes, and dividends. For each event, timelines, impact, upside and downside risks are indicated.
The eighth prompt evaluates the management team: the CEO's track record, the CFO's reliability, forecast accuracy, transparency, and compensation. The ninth simulates an investment committee debate—the AI creates a bull analyst and a bear analyst, and a neutral judge determines whose position is stronger.
The tenth and final prompt turns Claude into a patient teacher. It explains the company in simple terms: what it does, how it makes money, what could go well and wrong, and its position regarding profitability, debt, and valuation. At the end, a checklist for a beginner investor is formed.
The value of this collection lies in structuring research. However, the final data verification and decision-making remain with the investor. AI is a powerful tool, but not a substitute for critical thinking.
Expert commentary: This is not just a set of prompts, but a ready-made methodology for fundamental analysis, adapted to the capabilities of modern LLMs. In the cryptocurrency sector, where volatility and information asymmetry are particularly high, this approach can provide retail investors with tools previously available only to institutions. However, it is important to remember: the quality of input data and the ability to interpret AI results are skills that come with experience.