ChatGPT won't tell you which stock to buy. But used right, it can compress 3 hours of research into 15 minutes — and give you a sharper analytical edge than most retail traders have.
The problem is most traders use it wrong. They ask vague questions, get vague answers, and conclude "AI is useless for trading." The reality is that prompt quality is everything. A bad prompt gets you a Wikipedia summary. A good prompt gives you a structured, actionable research brief.
This guide gives you 25 tested prompts — for stock analysis, crypto research, strategy building, and risk management — so you can start using ChatGPT like a professional research tool today.
Quick note: ChatGPT is a research accelerator, not a trading signal. Always verify data through primary sources. For real-time charts, alerts, and execution, you'll want a dedicated platform like TradingView.
How to Get Better Results from ChatGPT for Trading
Before the prompts: four rules that make every result sharper.
- Give it a role. Start with "Act as an experienced equity analyst..." — it frames the output style and depth.
- Specify the format. "Give me a structured report with bullet points and a risk section" beats "tell me about this stock."
- Add constraints. "In 300 words" or "limit to 5 key risks" forces clarity.
- Iterate. Your first prompt is a draft. Follow up with "go deeper on point 3" or "now take the bear case."
Use your prompts with real chart data
ChatGPT gives you the analytical framework. TradingView gives you the real-time data to act on it. Start free — no credit card required.
Stock Analysis Prompts
Prompt 1 — Quick Fundamental Overview
Act as a senior equity analyst. Give me a structured fundamental overview of [COMPANY NAME / TICKER] including: business model, revenue streams, key competitors, recent earnings trend, and 3 key risks to the bull thesis. Keep it under 400 words.Prompt 2 — Bear vs Bull Case
Give me a balanced bear case and bull case for [TICKER] stock. For each side, provide 3 specific arguments with supporting data where possible. Conclude with what factors would cause you to move from bear to bull.Prompt 3 — Earnings Reaction Analysis
[COMPANY] just reported earnings: Revenue was [X], EPS was [Y], and guidance was [Z]. Analyze what this means for the stock short-term and long-term. What would be a rational price reaction and what would be an overreaction?Prompt 4 — Competitor Moat Comparison
Compare [COMPANY A] and [COMPANY B] across these dimensions: pricing power, switching costs, network effects, cost advantages, and market share trajectory. Which has the stronger economic moat and why?Prompt 5 — DCF Sanity Check
A DCF model for [COMPANY] assumes [X]% revenue growth for 5 years, [Y]% terminal growth, and a [Z]% discount rate. Does this seem reasonable given the company's historical growth, industry dynamics, and current interest rate environment? What would break this model?Crypto Research Prompts
Prompt 6 — Protocol Deep Dive
Act as a crypto analyst. Give me a technical and fundamental breakdown of [PROTOCOL/TOKEN]. Cover: what problem it solves, tokenomics summary, main competitors, key risks (regulatory, technical, market), and what metrics I should monitor to track adoption.Prompt 7 — On-Chain Metric Interpretation
Explain what it means for [BITCOIN/ETH/etc] if: exchange outflows are rising, long-term holder supply is increasing, and funding rates on perpetual futures are negative. What's the most likely market scenario this combination implies?Prompt 8 — Macro-Crypto Correlation
How has [BTC/ETH] historically behaved during periods of: (1) rising interest rates, (2) dollar strength, (3) risk-off market conditions? What macro factors should I monitor to anticipate crypto market direction in the next 3-6 months?Prompt 9 — DeFi Protocol Risk Assessment
I'm considering providing liquidity to [PROTOCOL] on [CHAIN]. Identify the key risks: smart contract risk, impermanent loss scenarios, protocol-specific risks, and any red flags in their tokenomics or governance. Rate each risk low/medium/high.Prompt 10 — Narrative Timing Analysis
In crypto, narratives often drive price action before fundamentals catch up. What narrative is currently forming around [SECTOR: e.g., AI tokens / RWA / Layer 2s]? Which projects are best positioned if this narrative gains traction, and what would signal the narrative is played out?Trading Strategy Prompts
Prompt 11 — Strategy Stress Test
I use a [DESCRIBE YOUR STRATEGY: e.g., "breakout momentum strategy on 4H charts, long only, entering on volume breakouts above 20-day range"]. Play devil's advocate. What market conditions would destroy this strategy? What would I need to see to know it's no longer working?Prompt 12 — Position Sizing Framework
I have a $[X] trading account and want to risk no more than [Y]% per trade. My average stop loss is [Z]%. Build me a simple position sizing table showing: number of shares/contracts, notional value, max loss per trade, for 5 different position sizes. Assume I trade [stocks/crypto/futures].Prompt 13 — Backtesting Logic Review
I want to backtest this rule-based strategy: [describe your entry, exit, and filter rules]. Before I run the backtest, identify: potential data snooping biases, overfitting risks, look-ahead bias issues, and transaction cost assumptions I need to validate.Prompt 14 — Trading Plan Template
Create a one-page trading plan template for a [swing trader / day trader / crypto bot user]. Include sections for: market thesis, entry criteria, position sizing rule, exit criteria (profit target and stop loss), and a pre-trade checklist. Format it as a fillable template.Prompt 15 — Sector Rotation Analysis
Walk me through the historical pattern of sector rotation during a late-cycle economic environment. Which sectors historically outperform and underperform? How does this apply to the current macro backdrop as of [YEAR]?Need professional financial data to pair with these prompts?
Koyfin gives you earnings estimates, revenue trends, and valuation comps across 50,000+ securities. The free plan covers a lot of ground.
Risk Management Prompts
Prompt 16 — Portfolio Correlation Check
I hold these positions: [list your holdings with % of portfolio]. Analyze the correlation risk — which positions are likely to move together in a risk-off environment? Where am I overexposed without realizing it?Prompt 17 — Black Swan Preparation
For my portfolio [list holdings], describe 3 plausible tail-risk scenarios (black swans) that could cause a 30%+ drawdown. For each, explain the transmission mechanism and what hedges or position changes would reduce exposure.Prompt 18 — Trade Journal Analysis
Here are my last 20 trades: [paste your trade log]. Analyze for: win rate, average winner vs average loser, most common mistake, and whether my losses cluster around specific market conditions. What's the single most impactful change I could make?Market Research & Macro Prompts
Prompt 19 — Earnings Season Preview
[SECTOR] earnings season starts next week. What are the key themes analysts are watching? What guidance language or metrics would be interpreted as bullish vs bearish by the market? Which companies in this sector are most likely to move significantly?Prompt 20 — Fed/Macro Summary
Summarize the key takeaways from the most recent [Fed meeting / CPI print / jobs report] and how markets typically react to this type of data. What's the most likely path for [interest rates / dollar / equities / crypto] over the next 30-60 days?Prompt 21 — News Sentiment Filter
Here are 5 headlines about [COMPANY/ASSET]: [paste headlines]. For each headline, tell me: (1) Is this actually material news or noise? (2) What's the likely market reaction and why? (3) What's the counter-narrative a skeptic would make?Automation & AI Tool Prompts
Prompt 22 — Pine Script Logic Help
I want to create a TradingView Pine Script indicator that [describe what you want: e.g., "plots a 20-period EMA and changes color when RSI is overbought/oversold"]. Write the Pine Script v5 code and explain each section.Use this prompt directly in ChatGPT, then paste the code into TradingView's Pine Editor.
Prompt 23 — Bot Strategy Design
Design a rule-based crypto trading bot strategy for a [conservative / moderate / aggressive] risk profile. Include: entry conditions, exit conditions, position sizing logic, and which market conditions this strategy performs best and worst in. Format as pseudocode I can implement in 3Commas or Cryptohopper.Prompt 24 — Watchlist Screener Logic
I want to build a stock screener to find [describe your edge: e.g., "quality growth stocks at reasonable valuations"]. Define the exact quantitative criteria I should use — include specific thresholds for revenue growth, margins, valuation ratios, and balance sheet health. Prioritize metrics by predictive power.Prompt 25 — Weekly Research Routine
Design a 30-minute weekly market research routine for a [crypto trader / stock swing trader / long-term investor]. Include: which data sources to check, what questions to answer each week, how to document findings, and what triggers would cause me to deviate from my plan.Taking It Further: From Prompts to Execution
ChatGPT is a thinking partner, not a trading terminal. Once you've done the research, you need the right tools to act on it:
For charting and alerts: TradingView — the platform most serious traders use for real-time analysis. If you're writing Pine Script (Prompt 22), TradingView is where you run it. Free plan available; Premium unlocks unlimited indicators and alerts.
For stock research depth: Koyfin — professional-grade financial data with AI-assisted search. Where ChatGPT gives you framework, Koyfin gives you the actual numbers: earnings estimates, revenue trends, valuation comps across 50,000+ securities.
For crypto bot automation: If your strategy research (Prompts 23–24) points toward automated execution, see our guide to the best AI crypto trading bots — the tools that can run your strategy 24/7 without you.
TradingView: Where your ChatGPT research becomes real trades
The free plan is genuinely good. Set up your first chart, paste in some Pine Script from Prompt 22, and see what the AI indicators actually do.
FAQ
No — and be skeptical of any AI claiming otherwise. ChatGPT is a language model, not a prediction engine. It doesn't have access to real-time data (unless you use the web search plugin), and past market patterns don't reliably predict future prices. Use it for research, not signals.
Avoid sharing specific account numbers, broker credentials, or personally identifying information. Sharing your holdings for analysis is generally fine — just don't paste in anything you wouldn't share publicly.
GPT-4o (or the most current model) gives significantly better analytical depth than GPT-3.5. The web search feature in ChatGPT Plus is useful for pulling current news context, though you should still verify time-sensitive data directly.
Use ChatGPT for the "why" (thesis, analysis, Pine Script logic) and TradingView for the "how" (chart visualization, alerts, execution signals). They complement each other well. Start your research in ChatGPT, build your indicator or alert in TradingView, and execute through your broker.
Disclosure: This article contains affiliate links. We may earn a commission if you sign up through our links, at no extra cost to you. We only recommend tools we've personally tested.
Nothing in this article constitutes financial or investment advice. Trading involves risk. Past performance is not indicative of future results.