AI prompts enable investors to swiftly gain a comprehensive view of a stock by automating the evaluation of company fundamentals, financial well-being, growth potential, and market sentiment in a cohesive response.
Models like GPT, Claude, and others are revolutionising stock research by rapidly analysing vast amounts of financial data, identifying patterns, and providing accurate predictions. This enhances decision-making, risk management, and market efficiency, giving investors a significant edge over traditional methods.
At this moment, I want to emphasise that this exercise is primarily for educational purposes, focusing on exploring various models in financial analysis. It should not be regarded as investment advice. You should conduct your own analysis and consult a professional before investing your hard-earned money.
The Prompt
After numerous iterations, trials, errors, and seemingly personal preference, the prompt I created is as follows (I share it as code for easier copy and paste😎):
# Prompt for Stock 360 Analysis
You are an expert financial analyst. I will be giving you the name of a stock and I would like to do the following:
You will do your research as below, but at the beginning of your response, provide:
- A 100-word executive summary
- Bullet points with the key highlights I should not miss
- Include a bull vs. bear case in 1–2 sentences
- Mention what investor profile this stock suits (e.g., risk tolerance, time horizon)
After the executive summary, provide a table with:
- Current price and the date the information was retrieved
- Market cap
- 52-week high (when it occurred, % difference from current price)
- 52-week low (when it occurred, % difference from current price)
- Analyst target price: low – average – high
### Company Overview
What does the company do? What are its main products/services and markets?
What is its market capitalisation and stock exchange listing?
### Financial Health & Performance
Note the last quarterly earnings date and summarize results in 1–2 bullet points.
What are the trends in revenue, net income, and profit margins over the past several years?
What are the key financial ratios (P/E, P/S, P/B, PEG, debt levels, dividend yield)?
How does the company’s earnings performance compare to its history and to peers?
### Technical Analysis
What is the stock’s price history (volatility, trends, recent performance)?
Highlight any major chart patterns (e.g., head & shoulders, breakout levels).
Name the current major support and resistance levels.
Identify volume trends.
### Growth Prospects
What are the company’s growth strategies and potential for future expansion?
Are there new products, services, or markets in the pipeline?
### Valuation
Is the stock fairly valued compared to its historical averages and industry peers?
What do valuation metrics (P/E, P/S, PEG, etc.) suggest about its current price?
### Industry & Competitive Position
What are the current trends and outlook in the company’s industry?
Who are the main competitors, and how does this company compare in terms of market share, financials, and strategic positioning?
Are there any regulatory or technological factors impacting the industry?
### Management & Governance
Who are the key executives? What is their track record?
Are there any notable governance or ethical issues?
### Sentiment & News
What is the current market sentiment (analyst ratings, news, social media buzz)?
Summarize analyst ratings (% Buy/Hold/Sell) and recent upgrades/downgrades.
Are there any recent or upcoming events that could impact the stock?
Smart Money Flow: Are institutional investors accumulating or distributing? (Check 13F filings or volume-on-up-days vs. down-days.)
### Risks
What are the main risks (financial, operational, industry, macroeconomic)?
Are there any red flags in recent filings or news?
Are there any ESG factors or controversies investors should know about?
### Return Expectations
What is the consensus outlook for returns (price targets, dividend yield, expected growth)?
### Portfolio Fit
How might this stock fit within a diversified portfolio? What role could it play (growth, value, defensive, etc.)?
### Strategy
For each investment horizon, propose:
- Suggested entry price range
- Stop loss level
- Take profit level or range
- Rationale behind the levels (technical, fundamental, or hybrid)
Assume technical levels are based on daily candles unless otherwise stated
Investment horizons:
- Short term: 1–3 months
- Medium term: 3–12 months
- Long term: More than 12 months
### Other Instructions
Use only up-to-date data (max 2 days old) from reliable sources (e.g., Yahoo Finance, Seeking Alpha, company filings, TradingView, etc.).Various Models
Evaluating various AI models is vital, as each model presents unique perspectives, strengths, and insights, contributing to a more balanced, accurate, and comprehensive stock analysis. In contrast to others, reasoning models adhere to logical steps and articulate their conclusions.
My test was with UnitedHealth (UNH). I chose this one because the stock has recently experienced turbulence due to the CEO stepping down and investors having various concerns about the company’s future. However, some analysts consider the stock a bargain.
I used Perplexity, which allows you to select from various models, not only their custom ones but also from all the major providers in the market, such as OpenAI, Anthropic, Google, and xAI. I have created a Space (something like OpenAI’s ChatGPTs) that includes my prompt as an instruction. You can download the responses from each model using the links below.
Similarities and differences
Analysts are optimistic. Models Agreed! While models recognise that Wall Street analyst ratings and consensus targets hold significant weight, they gently remind us that these should not be the only factors guiding our investment decisions. Many models highlight the common trend of analyst optimism and emphasise the value of backing up consensus with our own independent judgment.
The discount has its merits and is not undervalued. Models Agreed! Many believe that UnitedHealth appears to be undervalued when conventional metrics are used to assess it. However, most models suggest that this perceived discount is justifiable due to heightened uncertainty. They generally agree that simply having “cheap” valuations does not automatically indicate it is a great time to buy, particularly with unresolved risks.
Return Expectations. Models are Neutral! Reasoning models offered more specific details in aspects like Return Expectations, presenting precise figures, while the alternative models remained more general in nature.
Strategies. Models Disagreed! (or maybe a different approach…)
Short-Term Strategies (1-3 Months)
| Model | Entry Range | Stop Loss | Take Profit | Rationale |
|---|---|---|---|---|
| Gemini 2.5 Pro | $300-$320 | $280 | $340-$360 | Potential rebound after insider buying, technical resistance |
| GPT4-1 | $250-$320 | $240 | $350-$370 | High volatility; trade the range with tight stops |
| o4 mini | $270-$320 | $245 | $350-$400 | Technical bounce from oversold conditions, high risk |
| R1 1776 | $300-$320 | $249 | $365 | Technical resistance and recovery potential |
| Grog 3 Beta | $310-$320 | $297 | $350 | Momentum post-surge, insider confidence |
| Claude 3.7 Sonet | $290-$320 | $240 | $380-$400 | Technical bounce from oversold conditions, investigation limits upside |
| Sonar | Avoid or >$300 | $280 | $350-$400 | High volatility; wait for clearer guidance |
| Claude 3.7 Thinking | $300-$320 | $248 | $350-$360 | Mean reversion after oversold conditions |
Even though the logic is quite similar, and it couldn’t be different, as we are discussing short-term, the interesting points are:
– Even though it provides some numbers, Sonar suggests avoiding and waiting for clear guidance.
– GPT4.1 suggests an extensive entry range with a very tight stop loss and take profit.
– Gemini and Grog are the models that believe insiders will continue to buy with confidence.
Medium-Term Strategies (3-12 Months)
| Model | Entry Range | Stop Loss | Take Profit | Rationale |
|---|---|---|---|---|
| Gemini 2.5 Pro | $280-$300 | $250 | $360-$400 | Recovery based on resolving DOJ investigation |
| GPT4-1 | $250-$315 | $225 | $400-$450 | Wait for legal clarity; possible recovery |
| o4 mini | $250-$315 | $225 | $400-$470 | Mean reversion if regulatory news stabilizes |
| R1 1776 | $280-$330 | $225 | $400-$450 | Hybrid approach balancing legal risks |
| Grog 3 Beta | $300-$315 | $248 | $400-$450 | Partial recovery toward 200-day moving average |
| Claude 3.7 Sonet | $280-$330 | $220 | $450-$500 | Resolution of uncertainty and partial recovery |
| Sonar | $280-$330 | $250 | $400-$450 | Potential recovery if DOJ issues ease |
| Claude 3.7 Thinking | $290-$320 | $240 | $400-$425 | Accumulation during volatility, partial recovery |
While most of the models follow the same patterns, the interesting points are:
– For both of OpenAI’s models, the entry range begins relatively low, starting at 250, whereas the others commence at 280 and higher.
– While all of them present their rationale based on solving regulatory issues, Grog is the one whose rationale is technical (Partial recovery toward the 200-day moving average)
Long-Term Strategies (>12 Months)
| Model | Entry Range | Stop Loss | Take Profit | Rationale |
|---|---|---|---|---|
| Gemini 2.5 Pro | $250-$280 | $220 | $400-$500+ | Long-term growth driven by industry trends |
| GPT4-1 | $250-$315 | $200 | $500+ | Full rebound if legal/operational challenges resolve |
| o4 mini | $250-$350 | $200 | $500+ | Recovery to historical multiples |
| R1 1776 | <$300 | $200 | $450-$500 | Fundamental recovery if headwinds clear |
| Grog 3 Beta | $290-$310 | $240 | $500-$550 | Fundamental recovery under Hemsley’s leadership |
| Claude 3.7 Sonet | $250-$350 | $200 | $550-$600 | Full recovery potential if issues resolved |
| Sonar | $250-$300 | $220 | $450-$600 | Turnaround and growth |
| Claude 3.7 Thinking | $290-$335 | $225 | $450-$500 | Analyst consensus and historical valuation metrics |
Interestingly, nearly all models suggest a similar outcome in the long term. Assuming full recovery, the target profit should be approximately 500 USD. Here are some notable points:
– Grog is the only one with a long-term strategy with the stop loss set at 240 USD, more than the rest, which usually sit around 200. This suggests that if the price drops below 240 there might be no turning point shortly.
– R1 1776 is the only one that suggests an entry point no lower than 200 USD
Conclusions
- AI prompts automate comprehensive stock analysis, covering fundamentals, financials, growth, and sentiment in one response.
- All models agree: analyst optimism should be balanced with independent research and critical thinking.
- Reasoning models provide specific return expectations; others remain general or neutral on figures.
- Short-term strategies vary: some models recommend waiting, others suggest trading the range with tight stops.
- OpenAI models suggest lower entry points than most other models for medium-term trades.
- Grog 3 Beta emphasises technical recovery to the 200-day moving average for medium-term gains.
- Sonar is most conservative, often recommending caution or waiting for more clarity.
- Evaluating multiple AI models provides a more balanced and comprehensive stock analysis perspective.
Thank you for reading!