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Trading Tips-Tim Sykes Penny Stock

How to Use ChatGPT to Pick Stocks

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Written by Timothy Sykes
Updated 5/29/2025 14 min read

Using ChatGPT to pick stocks sounds like a shortcut to success—but it’s only effective if you understand how to use it the right way. In trading, tools don’t make money—traders do. So if you want to turn AI into an edge, you have to bring the right questions, discipline, and strategy to the table.

Want to know which stocks I’m picking? Check out my AI penny stocks watchlist!

You should read this article because it shows exactly how to turn ChatGPT into a stock research assistant that supports your trading strategy—without falling into the trap of relying on it for financial advice.

I’ll answer the following questions:

  • How can ChatGPT help with stock research without replacing your trading plan?
  • What’s the best way to set up ChatGPT for analyzing stocks?
  • How do I prompt ChatGPT to find stock ideas based on my criteria?
  • Can ChatGPT summarize a company’s financials in plain language?
  • What kind of technical analysis insights can ChatGPT provide?
  • Why is it critical to verify ChatGPT’s output with real market data?
  • How can I use ChatGPT to build and manage a trading watchlist?
  • What are some better tools to pair with ChatGPT for real-time stock analysis?

Let’s get to the content!

Can ChatGPT Help with Stock Trading?

ChatGPT can help with stock trading if you treat it as a research assistant, not an advisor.

AI tools like ChatGPT can be helpful in speeding up the stock research process. They work by processing huge amounts of content, like earnings reports, news articles, and analyst statements. With the right prompts, this chatbot can summarize financials, run a SWOT (Strength, Weakness, Opportunity, Threat) analysis, or list companies that meet specific criteria like strong revenue growth or low debt. It won’t replace your strategy—but it can support it by filtering noise and giving you focused information. I’ve taught thousands of students to never trade based on hype. That same mindset applies to using GPT: you need context, data, and confirmation before you ever click the buy or sell button.

ChatGPT can be especially useful for understanding company fundamentals and identifying trends across markets. If you feed it well-structured prompts, you can get performance evaluation summaries, risk factors, and business model breakdowns that might take you hours to gather manually. But don’t confuse this assistance with financial advice. It’s a tool—not a money-making machine.

You still need to understand risk, price action, and market behavior. If you’re just getting started or want to sharpen your process, this breakdown can help you use ChatGPT the right way. Here’s how traders are using ChatGPT right now.

Setting Up ChatGPT for Stock Research

Setting up ChatGPT for stock research starts with understanding how to extract meaningful responses from a tool powered by machine learning. This isn’t about throwing random questions into the internet and hoping for clarity—it’s about asking targeted questions that reflect your trading style, your risk tolerance, and your goals. ChatGPT responds to structure, and the better you define your prompts, the better your results. Whether you’re looking for low-float runners or solid ETFs with consistent volume and sector strength, the process begins with clearly stating your intent.

For many new investors, AI tools like ChatGPT can open up investment opportunities that would otherwise require hours of manual research. You can ask for updates on sectors showing momentum, or get a quick read on strategies used in recent market trends. But clarity matters. GPT models work by recognizing patterns in data—without clear direction, even the best algorithm returns vague output. After decades of trading and coaching traders from around the world, I’ve seen how structure brings consistency. That same principle applies here: structure your requests like you’d structure a trading setup—with purpose and precision.

Start by building prompts that connect your interests to specific sources. Want to screen for strong ETFs in emerging tech? Ask directly. Want a quick SWOT breakdown of a company with rising earnings? Say so. The idea isn’t just to “use AI,” it’s to turn it into an edge by focusing on decision-making, not just data. You’ll get better information when you ask for insights that match your trading criteria, not someone else’s investment choices. Don’t forget to keep your prompts current—strategies change, markets shift, and only you can manage the code of how AI fits into your trading plan.

Follow the below steps to set up ChatGPT to research stocks.

Step 1: Define Your Trading Goals

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Before using ChatGPT, define your trading goals clearly.

Every trader has different objectives. Some chase quick returns with momentum trades, others focus on swing setups based on earnings trends or industry rotation. Know what kind of setups you want to find. Are you looking for high-volatility small caps? Are you screening large caps with improving earnings? Your prompts should reflect that.

If your goal is to build a short-term watchlist of growth stocks under $10 with high relative volume, then structure your request accordingly. Language models like GPT rely on your clarity. Vague prompts give vague responses. Be specific about your risk tolerance, holding period, and the types of companies you want. The more structured your request, the more useful the answer.

Step 2: Ask ChatGPT for Stock Suggestions

Ask ChatGPT for stock ideas based on filters that match your strategy.

Let’s say you want stocks under $5 with a market cap under $500 million and recent news catalysts. You can prompt ChatGPT with exactly that. It’ll search its training data and external information (if browsing-enabled) to generate a list of examples. Use that as a starting point—not a final pick.

This step isn’t about automation—it’s about efficiency. You still need to apply human judgment. I tell my students, even the best stock screener can’t think for you. ChatGPT doesn’t know if the float is low or if the sector is hot. You have to do that work after getting the initial stock suggestions.

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Step 3: Request Fundamental Analysis Insights

Ask ChatGPT to break down the company’s fundamentals in simple terms.

You can ask about revenue growth, earnings consistency, debt levels, and margin trends. ChatGPT can scan public reports and summarize this data in easy-to-understand sentences. For example: “Has Apple’s EPS been growing year-over-year for the past three years?” or “Summarize Microsoft’s business model and revenue segments.”

As someone who’s taught trading for over two decades, I’ve seen too many beginners ignore the financials. But ignoring fundamentals, especially in swing trading or position trades, can hurt your edge. Use ChatGPT to get fast insights—but double-check with verified data.

Step 4: Use ChatGPT for Technical Analysis Guidance

ChatGPT can assist with technical setups—but you still have to chart it.

Ask about moving averages, RSI, MACD, and trendlines. Example prompt: “Is Tesla above its 50-day and 200-day moving average? What’s the current RSI?” If ChatGPT has access to real-time data through plugins or third-party tools, it can give current chart-based insights. Otherwise, it can explain how to analyze the setup yourself.

This is a good tool for beginners learning to read charts. But never assume it sees what a real trader sees. Price action is about context. AI doesn’t understand panic selling or emotional breakouts. That’s your job. Use its feedback as a guide, not a signal.

Step 5: Verify ChatGPT’s Suggestions with Market Data

Always double-check ChatGPT’s output with real market data.

If you get a list of “promising” stocks, run them through your own platform. Check float size, volume history, filings, and chart patterns. GPT may reference outdated or incomplete data, especially without a live data plugin. Don’t assume accuracy—verify it.

I’ve had students burn accounts by trusting online picks without verifying them. Even with AI, the market doesn’t forgive laziness. Use the tool to speed up your workflow, not to skip steps.

Step 6: Build and Monitor Your Watchlist

Use ChatGPT to help manage and update your trading watchlist.

Once you have a shortlist of tickers, you can ask ChatGPT to monitor news headlines, earnings reports, or analyst upgrades. With the right app integration, you can automate this into your daily prep. Use it to summarize news events, identify premarket movers, or list upcoming earnings dates.

But here’s the truth: ChatGPT won’t know what’s “in play” like an experienced trader does. It can’t feel the market’s mood or spot subtle shifts in sentiment. That’s why I teach my students to combine AI tools with real-time observation. Your edge still comes from thinking faster and adapting better than the crowd.

Importance of Human Judgment in Decision-Making

AI can give you data—but only human experience knows what to do with it.

ChatGPT might help with strategy building and information analysis. But no machine can make disciplined decisions in a fast-moving market. That takes years of reps. I’ve seen traders try to outsource thinking to algorithms. It always ends the same—frustration and losses.

You have to filter every answer through your own process. That’s why I hammer the importance of journaling, reviewing trades, and staying in tune with market psychology. AI can’t tell you how a breakout “feels.” It can’t coach your mindset. That’s your work.

Using ChatGPT to Analyze Stocks

You can use ChatGPT to generate full SWOT analyses on individual companies.

Try prompts like “What are the strengths and weaknesses of Netflix’s business model?” or “Summarize growth opportunities and threats for AMD.” The results can help you build conviction or find red flags faster. You can also compare two companies side by side to decide which might offer a better short-term setup.

For beginners especially, this kind of fast analysis helps bridge the knowledge gap. But again—it’s not enough by itself. Once ChatGPT gives you the basics, you still need to cross-check with actual earnings statements, news events, and volume behavior.

Once you know what you’re looking for, ChatGPT can help pull together earnings info, sector trends, and even compare tickers. It’s fast, but it’s not perfect. Use it to spot patterns or confirm ideas—not to replace your own judgment. The edge comes from how you use the data, not just reading what a bot spits out. Check out this straight guide to using ChatGPT for stock analysis.

Can You Use ChatGPT to Buy Stocks?

ChatGPT can’t actually execute trades, but it can help you think through setups and prep your orders.

It’s a tool for generating language-based answers. It doesn’t connect to brokerage platforms, and it’s not a trading app. Even tools that integrate with APIs are limited to sending data—you still have to hit “buy” or “sell.”

Some apps, like those from brokers or fintech startups, may eventually blend AI tools into their interface for alerts or summaries. But they won’t replace the need for oversight. You’re still responsible for your portfolio decisions and risk management.

Can you buy ChatGPT stock? Stay tuned.

Alternatives to ChatGPT for Stock Analysis

If you need live market data and integrations, consider using platforms like TradingView, Finviz, Benzinga Pro, or StocksToTrade.

These tools are built with market alerts, screeners, and real-time data. ChatGPT can explain concepts and assist with strategy, but tools like these give you price alerts, SEC filings, and social sentiment feeds. Think of ChatGPT as your assistant—not your main screen.

For your main screen it’s important to use a powerful trading platform.

When it comes to trading platforms, StocksToTrade is first on my list. It’s a powerful day and swing trading platform that integrates with most major brokers. I helped to design it, which means it has all the trading indicators, news sources, and stock screening capabilities that traders like me look for in a platform.

Grab your 14-day StocksToTrade trial today—it’s only $7!

As someone who’s taught over 30,000 traders, I always push for combining tools. The traders who win consistently are the ones who mix discipline, data, and smart tech. Don’t rely on one platform. Build a system that works for you.

Key Takeaways

  • ChatGPT is useful for stock research, but not a replacement for strategy or judgment.
  • It can speed up financial analysis, technical summaries, and stock screening—but the trader still has to verify.
  • Always cross-check AI responses with real market data before making decisions.
  • Use ChatGPT as a support tool in your daily routine—not as your signal generator.
  • Tools change. Disciplined thinking doesn’t.

Trading isn’t rocket science. It’s a skill you build and work on like any other. Trading has changed my life, and I think this way of life should be open to more people…

I’ve built my Trading Challenge to pass on the things I had to learn for myself. It’s the kind of community that I wish I had when I was starting out.

We don’t accept everyone. If you’re up for the challenge—I want to hear from you.

Apply to the Trading Challenge here.

Trading is a battlefield. The more knowledge you have, the better prepared you’ll be.

Do you get how to use ChatGPT to pick stocks? Write “I’ll keep it simple Tim!” in the comments if you picked up on my trading philosophy!

Frequently Asked Questions

Is ChatGPT a reliable tool for picking stocks?

ChatGPT is reliable for helping with research and strategy planning. But it’s not a stock picker. It doesn’t understand market psychology or short-term volatility the way real traders do.

Can ChatGPT predict stock market movements?

No. ChatGPT can analyze historical patterns and summarize data, but it does not predict the market. It doesn’t have live intuition or access to the full scope of real-time trading signals.

What is the most successful stock predictor?

There’s no single “most successful” predictor. Winning comes from combining tools—like technical analysis, earnings trends, market news, and trader discipline. ChatGPT is one tool, not the whole edge.

How can ChatGPT support better investment decisions and portfolio management?

ChatGPT can assist with investment decisions by organizing data around risk, reward, and timing, making it easier to evaluate strategies. It can also summarize key factors that influence portfolio management, like diversification, sector allocation, and rebalancing based on market updates. While it won’t manage your money, it can help investors make smarter, faster choices by connecting insights from global sources across the internet.


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Timothy Sykes

Tim Sykes is a penny stock trader and teacher who became a self-made millionaire by the age of 22 by trading $12,415 of bar mitzvah money. After becoming disenchanted with the hedge fund world, he established the Tim Sykes Trading Challenge to teach aspiring traders how to follow his trading strategies. He’s been featured in a variety of media outlets including CNN, Larry King, Steve Harvey, Forbes, Men’s Journal, and more. He’s also an active philanthropist and environmental activist, a co-founder of Karmagawa, and has donated millions of dollars to charity.
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* Results are not typical and will vary from person to person. Making money trading stocks takes time, dedication, and hard work. There are inherent risks involved with investing in the stock market, including the loss of your investment. Past performance in the market is not indicative of future results. Any investment is at your own risk. See Terms of Service here

The available research on day trading suggests that most active traders lose money. Fees and overtrading are major contributors to these losses.

A 2000 study called “Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors” evaluated 66,465 U.S. households that held stocks from 1991 to 1996. The households that traded most averaged an 11.4% annual return during a period where the overall market gained 17.9%. These lower returns were attributed to overconfidence.

A 2014 paper (revised 2019) titled “Learning Fast or Slow?” analyzed the complete transaction history of the Taiwan Stock Exchange between 1992 and 2006. It looked at the ongoing performance of day traders in this sample, and found that 97% of day traders can expect to lose money from trading, and more than 90% of all day trading volume can be traced to investors who predictably lose money. Additionally, it tied the behavior of gamblers and drivers who get more speeding tickets to overtrading, and cited studies showing that legalized gambling has an inverse effect on trading volume.

A 2019 research study (revised 2020) called “Day Trading for a Living?” observed 19,646 Brazilian futures contract traders who started day trading from 2013 to 2015, and recorded two years of their trading activity. The study authors found that 97% of traders with more than 300 days actively trading lost money, and only 1.1% earned more than the Brazilian minimum wage ($16 USD per day). They hypothesized that the greater returns shown in previous studies did not differentiate between frequent day traders and those who traded rarely, and that more frequent trading activity decreases the chance of profitability.

These studies show the wide variance of the available data on day trading profitability. One thing that seems clear from the research is that most day traders lose money .

Millionaire Media 66 W Flagler St. Ste. 900 Miami, FL 33130 United States (888) 878-3621 This is for information purposes only as Millionaire Media LLC nor Timothy Sykes is registered as a securities broker-dealer or an investment adviser. No information herein is intended as securities brokerage, investment, tax, accounting or legal advice, as an offer or solicitation of an offer to sell or buy, or as an endorsement, recommendation or sponsorship of any company, security or fund. Millionaire Media LLC and Timothy Sykes cannot and does not assess, verify or guarantee the adequacy, accuracy or completeness of any information, the suitability or profitability of any particular investment, or the potential value of any investment or informational source. The reader bears responsibility for his/her own investment research and decisions, should seek the advice of a qualified securities professional before making any investment, and investigate and fully understand any and all risks before investing. Millionaire Media LLC and Timothy Sykes in no way warrants the solvency, financial condition, or investment advisability of any of the securities mentioned in communications or websites. In addition, Millionaire Media LLC and Timothy Sykes accepts no liability whatsoever for any direct or consequential loss arising from any use of this information. This information is not intended to be used as the sole basis of any investment decision, nor should it be construed as advice designed to meet the investment needs of any particular investor. Past performance is not necessarily indicative of future returns.

Citations for Disclaimer

Barber, Brad M. and Odean, Terrance, Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. Available at SSRN: “Day Trading for a Living?”

Barber, Brad M. and Lee, Yi-Tsung and Liu, Yu-Jane and Odean, Terrance and Zhang, Ke, Learning Fast or Slow? (May 28, 2019). Forthcoming: Review of Asset Pricing Studies, Available at SSRN: “https://ssrn.com/abstract=2535636”

Chague, Fernando and De-Losso, Rodrigo and Giovannetti, Bruno, Day Trading for a Living? (June 11, 2020). Available at SSRN: “https://ssrn.com/abstract=3423101”

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