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How to Analyze Stocks with Perplexity, ChatGPT, and Claude
✍️ By Kanngongkanngoen
📅 Published January 13, 2026
⏱️ About 2 min read
💡Key takeaways
See how Perplexity, ChatGPT, and Claude can support stock research, with a Tesla case study and safeguards against unsupported AI recommendations.
When financial information is abundant, organizing and analyzing it efficiently matters. This article describes how Perplexity, ChatGPT, and Claude can support stock research, using Tesla as a historical case study. These tools can help with research and presentation, but their output still needs to be checked against reliable sources.
Tesla stock analysis: a case study
The example examines the sharp market decline on 5 August 2024 to consider its possible effect on Tesla shareholders and to illustrate how AI tools can be used to study a market event. It is a historical example, not a current assessment of Tesla.
Tesla’s market on 5 August 2024
On 5 August 2024, US markets were highly volatile and many stocks fell sharply. The source discusses a hypothetical Tesla shareholder who bought at US
00 per share. That purchase price is part of the example; it does not establish what any particular investor actually paid or what they should do now.
Purpose: assess the effect on shareholders
The aim is to examine how the 5 August 2024 event affected Tesla’s share price and shareholders, and what factors an investor might consider when reviewing the event. A historical analysis cannot by itself determine an appropriate strategy for an individual investor.
Why use AI tools?
Researching a complex market event can require financial knowledge, a large amount of information, and several kinds of analysis. AI tools may help organize that work and reduce the time needed to find or summarize information, but speed does not guarantee accuracy. Check important facts and calculations independently.
Perplexity: a tool for real-time research
The source presents Perplexity as an AI search tool that can find and summarize information in a way similar to a search engine. Availability and features can change, so verify current results and dates at the time of use.
What is Perplexity?
Perplexity is an AI-powered information search service that draws on different sources and summarizes material related to a question. Use the summary as a starting point, then open the cited sources to check the underlying information.
Frame the question and write the prompt
Useful results depend on a clearly framed question. State the company, event date, question, and information you need. A prompt should also set limits—for example, ask the tool to separate reported facts from commentary and to provide sources for claims.
Retrieve and summarize information
The tool can search for material, summarize relevant points, and present them in an easier-to-scan format. Before relying on a summary, compare it with the cited source, check publication dates, and make sure that the source actually supports the statement.
Ask follow-up questions
After an initial answer, follow-up questions can help clarify a point or explore a specific part of the event. Ask questions that narrow the scope and request evidence, rather than treating a confident answer as proof.
ChatGPT: analyze information and generate recommendations
The source describes using ChatGPT to analyze material gathered with Perplexity and other sources. It may help organize information, but an AI-generated investment recommendation is not a personalized assessment and should not be treated as financial advice.
Use information gathered with Perplexity
Research gathered from Perplexity can be supplied as background for a ChatGPT analysis. Include the source links and dates so the material can be checked. If the supplied information is incomplete or inaccurate, the resulting analysis may be too.
Prepare stock data from Yahoo Finance
The article also describes using historical share-price data from Yahoo Finance as an additional input. Confirm the ticker, date range, currency, and whether prices are adjusted before analyzing a data series. Historical prices alone do not explain why a price moved.
Prompting ChatGPT: role and steps
A clear prompt should explain the task, provide relevant context, and say what form the answer should take. Ask for assumptions and limitations to be stated. Review the output for unsupported claims instead of accepting it simply because it is detailed.
Analyze data with Python
ChatGPT can assist with Python-based data analysis and may help create code or calculations. Check the input data, code, assumptions, and output independently. A programming error or a poorly chosen dataset can produce a plausible-looking but incorrect result.
Fundamental, technical, and macroeconomic analysis
The source groups analysis into fundamental factors, technical indicators, and macroeconomic conditions. Considering several perspectives can provide context, but each one has limitations. Verify the data and distinguish an observed relationship from a proven cause.
Recommendation: buy, sell, or hold
The article describes asking ChatGPT to produce a buy, sell, or hold view from the supplied information. Such an answer is a model-generated output, not a personal recommendation. It cannot account for an individual’s objectives, finances, risk tolerance, or full circumstances.
Claude: create interactive visualizations
The source describes Claude as a tool that can help turn analyzed information into charts or visual presentations. A polished visualization does not make the underlying data more reliable; check the data and the way it is presented.
What is Claude?
Claude is an AI assistant that can help create and explain visual material from supplied information. Its capabilities may change over time, so check what the service supports when you use it.
Create charts and visualizations
A chart can make patterns in the data easier to see. Use data that has been checked, identify the source, and label the axes, units, and dates so readers can understand what the chart shows.
Customize a chart
Adjust a chart to fit its purpose and the data being shown. Choose a suitable scale and format, and avoid visual choices that exaggerate a change or imply a cause that the data cannot establish.
Publish and share a visualization
A visualization can be published or shared so others can review it. Provide enough context for readers to understand the data, its date range, and its limitations; do not present an AI-generated graphic as independently verified evidence.
Summary and other use cases
Perplexity, ChatGPT, and Claude can be combined to search for information, organize analysis, and present results. The workflow is useful only when its inputs and outputs are checked.
Summary of the three tools
Perplexity: search for information and produce summaries that can guide further research.
ChatGPT: organize supplied information and assist with analysis or calculations.
Claude: help create visualizations and present information.
Use cases: sales analysis and marketing spend
The same general approach can be applied to other data questions, such as reviewing sales or marketing expenditure. Define the question, use suitable data, check the results, and avoid drawing conclusions that the data does not support.
Applications in other domains
These tools can also be applied to business analysis, marketing data, and other domains. The appropriate sources, methods, and checks depend on the subject being analyzed.
Learn more through a course
The original article points readers to an online course for further learning about using AI tools in data analysis. Course material can help explain a workflow, but it does not remove the need to verify data or make independent decisions.
