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I've been experimenting with using ChatGPT for stock research, and I've found it's much more useful when you give it a specific job instead of simply asking whether a stock is "good."
The real advantage is handling the messy parts of research: organizing financial information, comparing companies, finding what could invalidate an investment thesis, and turning a pile of data into something you can actually reason about.
That doesn't mean handing ChatGPT the decision and blindly following its conclusion.
It's much more useful as a research partner that helps you ask better questions and spot things you might have missed.
So today, I've put together seven prompts designed around exactly that.
You can use them to research companies, stress-test an investment thesis, compare opportunities, and build a more structured process before making any decisions.
Quick note: These prompts are for educational and research purposes only and aren't financial or investment advice.
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1. Build an Investment Thesis From Scratch
Prompt:
"Act as a skeptical equity research analyst. Help me build a structured investment thesis for [COMPANY / TICKER] without assuming the stock is either a good or bad investment.
My initial thesis: [THESIS]
Investment horizon: [TIME HORIZON]
Risk tolerance: [LOW / MEDIUM / HIGH]
Analyze the company across its business model, revenue drivers, competitive advantages, industry position, growth prospects, margins, capital allocation, balance sheet, and key risks. Separate facts from assumptions and clearly identify which parts of my thesis require further evidence. Then present the strongest bull case and strongest bear case, followed by the 3–5 assumptions that would have the biggest impact on the outcome. Finish by telling me what evidence would prove my thesis wrong."
Why it works:
It forces ChatGPT to investigate the thesis from both sides instead of simply confirming your existing opinion.
2. Find What the Market Might Be Missing
Prompt:
"Act as a contrarian equity research analyst. Analyze [COMPANY / TICKER] and look for information or assumptions that could be underappreciated by the market.
Current stock price: [PRICE]
My view of the company: [VIEW]
Time horizon: [TIME HORIZON]
Identify the major expectations already reflected in the company's valuation and determine what would need to happen for those expectations to be too optimistic or too pessimistic. Examine revenue growth, margins, competition, industry trends, management execution, valuation, and potential catalysts. Then identify 3 scenarios where the market could be wrong, explain the evidence supporting each scenario, and list the specific developments I should monitor to determine whether each scenario is actually unfolding."
Why it works:
Instead of asking whether a company is “good,” it focuses on the gap between what the market expects and what could actually happen.
3. Compare Two Stocks Like an Analyst
Prompt:
"Act as an independent equity analyst comparing [COMPANY A] and [COMPANY B]. Do not choose a winner based on popularity or headline growth. Determine which company offers the stronger risk-adjusted opportunity based on the evidence.
Investment horizon: [TIME HORIZON]
Primary objective: [GROWTH / VALUE / INCOME / BALANCED]
Compare their business models, revenue quality, growth rates, margins, free cash flow, balance sheets, competitive advantages, management, valuation, industry exposure, catalysts, and major risks. Highlight where one company has a structural advantage and where the other may be temporarily mispriced. Create a side-by-side assessment, then explain which assumptions would need to change for your conclusion to reverse. Clearly distinguish between measurable facts and subjective judgment."
Why it works:
It prevents you from comparing companies based on one metric and instead evaluates the entire investment case.
4. Stress-Test My Investment Thesis
Prompt:
"Act as a professional investment thesis stress tester. I will give you an investment thesis, and your job is to try to break it rather than validate it.
Company: [COMPANY / TICKER]
My thesis: [THESIS]
Expected holding period: [TIME HORIZON]
Reasons I believe it: [REASONS]
Identify every major assumption my thesis depends on. Rank those assumptions by how important they are and how uncertain they are. Then construct the strongest reasonable bear case against my thesis, including operational, financial, competitive, valuation, and macroeconomic risks. Identify potential confirmation bias in my reasoning and tell me what evidence I may be ignoring. Finally, create a monitoring checklist of specific metrics, events, or developments that would tell me whether the thesis is becoming stronger or weaker."
Why it works:
The goal isn't to produce another opinion. It's to expose the weakest links in your reasoning before they become expensive mistakes.
5. Build a Stock Research Dashboard
Prompt:
"Act as my equity research assistant. Build a repeatable monitoring framework for [COMPANY / TICKER] that I can use every quarter instead of starting my research from scratch.
Investment thesis: [THESIS]
Investment horizon: [TIME HORIZON]
Key reasons I own or am considering the stock: [REASONS]
Create a concise dashboard covering the most important operating metrics, financial metrics, competitive indicators, valuation metrics, upcoming catalysts, and potential thesis-breakers. For every metric, explain why it matters, what direction would be positive or negative, and what change would be significant enough to investigate. Separate leading indicators from lagging indicators. Finish with a quarterly review template that tells me exactly what questions to ask after each earnings report."
Why it works:
It turns stock research into an ongoing process rather than a one-time analysis, making it much easier to notice when the original thesis is changing.
6. Analyze a Stock's Valuation Without Anchoring
Prompt:
"Act as a valuation-focused equity analyst. Analyze whether [COMPANY / TICKER] appears reasonably valued based on its fundamentals rather than simply comparing today's price with its historical price.
Current price: [PRICE]
Investment horizon: [TIME HORIZON]
Expected growth: [GROWTH ASSUMPTION]
Analyze the company's valuation using multiple approaches that are appropriate for its business model, such as earnings multiples, free-cash-flow multiples, revenue multiples, or other relevant methods. Compare the current valuation with its own historical ranges and with relevant competitors, but explain why each comparison is or isn't meaningful. Then create a bull, base, and bear valuation scenario using clearly stated assumptions. Identify which assumptions have the greatest effect on the valuation and explain what would need to happen for the current price to look expensive, reasonable, or attractive."
Why it works:
It moves the conversation away from “the stock looks cheap” and toward the assumptions actually required to justify the current valuation.
7. Create a Pre-Investment Research Checklist
Prompt:
"Act as a rigorous pre-investment research analyst. Before I make any decision about [COMPANY / TICKER], help me identify what I should know and what I still need to verify.
My current thesis: [THESIS]
Investment horizon: [TIME HORIZON]
What I already know: [INFORMATION]
Build a research checklist covering the company's business model, industry dynamics, competitive position, financial health, management, valuation, growth assumptions, major risks, catalysts, and potential thesis-breakers. Prioritize each research question by importance and explain what a strong, neutral, or concerning answer would look like. Separate information that is essential from information that is merely interesting. At the end, create a 'decision gate' with the 5–7 questions I should be able to answer confidently before considering the thesis sufficiently researched."
Why it works:
It gives you a structured way to find what you don't know yet, which is often more valuable than generating another long summary of what you already know.
Anyway, that's today's batch.
Good research isn't about having a perfect answer right away. Sometimes it's just about knowing which questions to ask next.
Catch you next issue,
Founder, GPTCheats
