A big deal hits the news. The market reacts. Everyone suddenly has an opinion.
And you are sitting there thinking the same thing you have thought a hundred times before.
“How did I miss that?”
The modern information stream is endless, and manual stock tracking is a trap that quietly steals your time, your focus, and your confidence.
That is why Nick Krem, CEO of the Krem Institute of Artificial Intelligence, built a simple system that uses AI as a stock tracker and research assistant, without pretending it replaces human judgment.
Here’s the workflow, exactly as shown:
Disclaimer: This is not financial advice.
This is a practical way to use AI tools for investors, and a blueprint for how smart professionals use automation to stay ahead.
Most investors do not miss opportunities because they are careless. They miss opportunities because the process is broken.
Here’s what it looks like in real life:
You tell yourself you will “stay on top of it” this week.
Then the week happens.
You get busy, you get distracted, you skim headlines, you save links, and you never return.
By the time you hear about the move, the move has already happened.
That is why an AI stock tracker matters.
Not because it predicts anything, but because it eliminates the worst part of investing which is information overload and inconsistency.
Instead of forcing yourself to become a full-time research desk, you build a system that brings the highest-signal updates to you, on schedule, every week.
If you want to know how to track stocks with ChatGPT, this is the foundation.
ChatGPT has a feature called Tasks.
Tasks let you schedule ChatGPT to perform recurring research and send it to you automatically.
Think of it as a weekly intelligence briefing that shows up even when you are busy.
These are the three prompt documents referenced in the video. Use the one that matches the industry you want to track.
2. Weekly Robotics Search Prompt
Inside ChatGPT:
This is the moment you stop “trying harder” and start using automation the right way.
This is subtle but important.
When you create a Task, ChatGPT may summarize what you pasted.
That summary can water down the instructions.
So after the task is created, edit it and make sure:
This is how you keep your automated stock analysis using AI clean and repeatable.
Once saved, ChatGPT sends the report to the email associated with your ChatGPT account.
So instead of waking up and guessing what you missed, you start every week with a shortlist of what mattered most.
That is how you begin to automate stock tracking without turning your life into a news feed.
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The report is designed to be fast.
Each week, it delivers:
If you used the Weekly Energy Prompt, the report is a weekly energy contracts and deals tracker.
If you used the Weekly Robotics Search Prompt, it becomes a robotics stock deals AI tracker.
If you used the Weekly Chip Search Prompt, it becomes a chip and semiconductor deal tracker.
This is the core idea behind a stock deal tracker AI workflow:
Let AI find the signal. Let humans make the decision.
In the YouTube video example, one of the deals that surfaced was Vistra Corp (VST) - 20-year nuclear power purchase agreement with Meta Platforms
This is exactly what you want your AI stock tracker to catch.
Because it is not just a headline, it signals long-term intent, strategic alignment, and real capital commitment.
It immediately raises better questions:
The weekly report is not the finish line but the filter that gets you to the right questions faster.
This is where most people either get it right or misuse the tool entirely.
The weekly report is not a “buy list.”
It is a discovery engine.
Once you receive the top five, the smart move is this:
Choose the deal that feels most meaningful, then use Deep Research with ChatGPT to do due diligence.
Inside ChatGPT:
You can use prompts like:
Then Deep Research produces a structured breakdown of:
This is the real value of AI for investment analysis. It lets you gather and organize information at scale, then you apply judgment.
According to a research the CFA Institute, AI’s primary value in investment management is augmenting human capability, not replacing it.
So yes, you can use ChatGPT for investing research. Just remember what it is.
Decision support, not decision replacement.
Real estate is not separate from the economy. It is the economy, in physical form.
The best agents do not just sell homes.
They understand what shapes markets.
They pay attention to:
That is why this workflow matters for agents who want real leverage.
Because once you understand how to automate stock tracking, you start seeing the bigger point:
You can automate market awareness.
And market awareness becomes authority.
If you want learn more about the best AI tools in real estate, we break down the 6 BEST AI Tools for Real Estate Agents agents are using right now.
That is how you go from just posting content to building presence that feels inevitable.
Here is the workflow, clean and repeatable.
This is why people love automation. It buys back attention.
And in finance and real estate, attention is a competitive edge.
It is also why studies and industry analysis keep highlighting productivity gains when AI reduces manual work. According to an article written by ScienceSoft Investments, AI can eliminate up to 50% of manual investor prospecting and onboarding tasks and improve productivity by more than 14%.
That same productivity logic is exactly what agents want: fewer manual tasks, more time on deals.
If this AI stock tracker workflow clicked for you, here is the deeper analysis.
This is not really about stocks.
This is about building an unfair advantage with artificial intelligence.
The agents and investors who win in the next decade will not be the ones who grind harder.
They will be the ones who build systems that keep them informed, visible, and decisive, even on their busiest weeks.
That is why Nick Krem and the Krem Institute of Artificial Intelligence run a free live AI workshop for real estate agents who want to learn the best AI tools and strategies in real estate.
Inside the workshop, you will learn:
If you want to see these systems applied directly to listings and real estate marketing,
👉 Join the Free Live AI Workshop
Q: Can AI summarize stock market news and company updates?
A: Yes. AI can take long stock market news, earnings notes, and company updates and turn them into a clear summary fast, so you can see what changed and what matters without reading everything. Think of it like a fast research assistant that helps you keep up, but you still decide what it means and what to do next.
Q: How accurate is AI for stock market research?
A: AI is usually accurate at summarizing and organizing the info you give it, especially when you provide the source text. It gets less reliable when it has to guess, fill gaps, or work without fresh info, so key details should always be checked in the original source. AI can speed up your research, but the final call is still yours.
Q: What are the risks of using AI for stock market research?
A: AI can miss context, mix up details, or sound confident even when it’s wrong, especially if you don’t give it current sources. The safest way is to use AI for summaries and research help, then double-check the important facts before you act. Treat it as support for your thinking, not a replacement for it.
Q: Can AI help me research a company before I invest?
Yes. AI can help you gather the main facts fast, like what the company does, recent updates, big deals, key risks, and how it makes money. It can also help you build a simple research checklist so you do not miss the basics. It is a fast research assistant, but you still confirm the facts in the original sources.
Q: Can AI help me find stock market trends early?
A: Yes. AI can help you spot patterns by tracking the same types of updates each week, like big partnerships, contracts, funding, mergers, or major product moves. Over time, those repeated signals can help you see where attention and money are going before it becomes obvious to everyone else.
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