18 ChatGPT Prompts for Investing: Comprehensive Market & Portfolio Research

Act as a senior equity research analyst. I am evaluating [COMPANY_NAME] ([TICKER]) following their latest earnings report. Below is the transcript/data from the call: [FINANCIAL_DATA]. Analyze this information and highlight key financial metrics (revenue growth, margins, EPS), management's guidance for upcoming quarters, and explicit risks mentioned by executives. Provide your response as an executive summary with a key metrics table and a section detailing potential operational red flags.

Act as a financial analyst evaluating value and profitability metrics. Review the following financial parameters for [COMPANY_NAME]: [FINANCIAL_DATA]. Compute and interpret key valuation and health ratios, including P/E, P/B, EV/EBITDA, Debt-to-Equity, and Free Cash Flow Yield. Compare these metrics against standard industry benchmarks for [INDUSTRY]. Present the output in a clear comparative table followed by a 3-bullet conclusion on whether the asset appears undervalued, fairly valued, or overvalued.

Act as a Warren Buffett-style value investor focusing on long-term competitive advantages. Evaluate [COMPANY_NAME] within the [INDUSTRY] sector against main competitors: [COMPETITORS]. Identify the primary economic moat (e.g., network effects, switching costs, cost advantage, intangible assets). Analyze how sustainable this competitive edge is over a [TIME_HORIZON] horizon. Format your output with a Moat Rating (Strong, Narrow, None), detailed strategic justifications, and a list of key threats that could erode this moat.

Act as an unbiased investment committee leader. Conduct a balanced bull case and bear case analysis for investing in [COMPANY_NAME] over a [TIME_HORIZON] timeframe. Consider macroeconomic trends, company fundamentals, and industry dynamics using this background data: [FINANCIAL_DATA]. Structure the output into two distinct sections: 'Bull Case (Catalysts & Growth Drivers)' and 'Bear Case (Risks & Headwinds)', concluded by a 'Key Triggers to Watch' checklist for monitoring future performance.

Act as a certified financial planner. Design a personalized asset allocation strategy based on the following investor profile: Age: [AGE], Investment Goals: [INVESTMENT_GOALS], Risk Tolerance: [RISK_TOLERANCE], Time Horizon: [TIME_HORIZON], and Total Capital: [PORTFOLIO_SUMMARY]. Provide a recommended percentage breakdown across equities, fixed income, real estate, cash, and alternative assets. Output the rationale for each asset class weight and outline how this allocation should adjust over time.

Act as a portfolio manager. Review my current portfolio composition: [PORTFOLIO_SUMMARY]. My desired target allocation is: [TARGET_ALLOCATION]. Identify areas of overexposure and underexposure. Formulate a step-by-step rebalancing plan to restore target weights while considering tax efficiency and transaction cost reduction strategies. Format the output with a 'Current vs. Target' comparison table followed by bulleted execution steps.

Act as a dividend growth investor focused on passive income generation. Design a strategy to deploy [INVESTMENT_AMOUNT] aimed at yielding [TARGET_YIELD] annually over a [TIME_HORIZON] horizon. outline core criteria for selecting dividend-paying assets (e.g., payout ratio, dividend growth rate history, debt levels). Provide a structured framework for constructing a 15 to 20 stock dividend portfolio, including target sector weights and dividend reinvestment (DRIP) guidelines.

Act as a risk assessment strategist. Analyze my investment holdings to determine sector exposure and concentration risk: [PORTFOLIO_SUMMARY]. My goal is [INVESTMENT_GOALS] with a [RISK_TOLERANCE] profile. Identify concentrated bets, overlapping industry exposures, and gaps where diversification is lacking. Deliver the response with a sector distribution chart representation (text-based), a risk exposure score (1-10), and 3 actionable adjustment recommendations.

Act as a macroeconomic analyst. Evaluate potential market risks affecting [ASSET_CLASS] in [GEOGRAPHIC_REGION] over the next [TIME_HORIZON]. Consider current interest rate trends, inflation projections, geopolitical events, and regulatory changes. Provide a risk matrix categorized by Probability (High/Medium/Low) and Impact (High/Medium/Low), along with 3 concrete hedging strategies an investor can implement to protect portfolio value.

Act as a forensic accountant. Review the following excerpts or notes from the SEC Form 10-K filing of [COMPANY_NAME]: [SEC_FILING_TEXT]. Scan for operational and accounting red flags, such as aggressive revenue recognition, growing accounts receivable relative to sales, pension liabilities, or frequent related-party transactions. Output a bulleted list of potential warning signs grouped by risk severity with recommended follow-up questions for management.

Act as a credit analyst evaluating financial distress risks. Perform a liquidity and solvency stress test for [COMPANY_NAME] using these financial statements: [FINANCIAL_DATA]. Calculate Quick Ratio, Current Ratio, Altman Z-Score inputs, and Interest Coverage Ratio. Evaluate how the company would perform under a 20% revenue drop scenario. Output a summary table of debt maturity obligations and an overall Solvency Risk Rating.

Act as an investment banking analyst. Walk me through a Discounted Cash Flow (DCF) valuation model setup for [COMPANY_NAME] using these inputs: Estimated Growth Rate: [GROWTH_RATE], Discount Rate/WACC: [DISCOUNT_RATE], and Base Free Cash Flow: [FREE_CASH_FLOW]. Provide the step-by-step logic, formula application, terminal value assumptions, and output a sensitivity analysis table showing intrinsic share value across varying discount and growth rates.

Act as a capital preservation specialist. Evaluate my current portfolio holding: [PORTFOLIO_SUMMARY]. Given my maximum drawdown tolerance of [MAX_DRAWDOWN_TOLERANCE], suggest downside hedging mechanisms (e.g., stop-loss rules, protective puts, trailing stops, or inverse asset allocations). Present the recommendations in a structured protocol detailing exact execution rules, pros and cons of each method, and cost-benefit considerations.

Act as a real estate investment advisor. Evaluate a potential residential rental property purchase with the following details: Purchase Price: [PURCHASE_PRICE], Estimated Monthly Gross Rent: [RENTAL_INCOME], Operating Expenses: [OPERATING_EXPENSES], and Financing Terms: [FINANCING_TERMS]. Calculate Gross Yield, Net Operating Income (NOI), Cap Rate, Cash-on-Cash Return, and Monthly Net Cash Flow. Provide the output as a financial breakdown table accompanied by a deal viability decision.

Act as a commercial real estate analyst. Analyze [REIT_NAME], which operates in the [SECTOR] sector, using the following key operational parameters: [FFO_METRICS]. Assess Funds From Operations (FFO) payout ratio, occupancy rates, net lease terms, and debt profile. Present your analysis in an executive scorecard format with clear ratings for Dividend Safety, Growth Potential, and Portfolio Quality.

Act as a digital asset research specialist. Perform a due diligence analysis on [CRYPTO_PROJECT] using the following inputs: Tokenomics: [TOKENOMICS_DATA] and Core Use Case: [USE_CASE]. Evaluate token utility, distribution schedule, inflation rate, fully diluted valuation (FDV), network security model, and regulatory exposure. Output a risk-reward matrix and a bulleted list of fundamental long-term value drivers.

Act as an angel investor or venture capital associate. Evaluate the investment potential of a startup pitch summarized here: [STARTUP_PITCH_SUMMARY]. Target Market Size: [MARKET_SIZE], Funding Stage: [STAGE]. Assess the Total Addressable Market (TAM), business model scalability, competitive defensibility, and unit economics. Structure your output into Strengths, Key Risks, Missing Information, and Recommended Investment Decision (Pass, Defer, or Invest).

Act as a commodities strategist. Outline a framework for introducing commodities (precious metals, energy, agriculture) into an existing portfolio: [PORTFOLIO_SUMMARY]. Based on expected inflation levels: [INFLATION_EXPECTATIONS] over [TIME_HORIZON], recommend preferred implementation vehicles (ETFs, physical assets, futures). Provide a table showing historical correlation to equities, volatility expectations, and target allocation limits.