Thanks, appreciate it!

Thanks, great PoV. Agree 100%!

You too :)

You could track AI and your prediction accuracy over time. Could be interesting.

Yes, sure. One could use fine-tuning: blog.finxter.com/openai-fine-tuning/

Definitely! Simply use the OpenAI API for raw intelligence, and feed it the financial statements via an API (e.g., Yahoo Finance API). Great idea. I sense a million-dollar business idea!

@@finxter😂

Haha, just open it with Firefox, right-click to open the context menu, select "Take Screenshot". No need to install any external screenshot tool.

you can get snipping tool for free on PC

@@MyBrianBailey After snipping, how do we paste onto the chat gpt4 ? can someone help?

Yeah, they always update the model (even within a "macro" version such as 4o). Also it's non-deterministic output...

They're probably using ChatGPT internally so yes. :)

Not anymore since the recent copyright lawsuits. At least in Germany - feel free to confirm if it can read Yahoo stock information in your country.

They use finance web API (seemingly) so pretty current in most cases. But it's always good practice to cross-check, especially if you base some investment decisions on it.

It's outdated sh!t.

No. ChatGPT-4o is a 10x improvement because of its integration of deep RAG functionality in my opinion.

@@finxter does it have real time data access to investment resources to assist in calculating fundamental strong companies? how should I fully utilise?

does Chat GPT-4o has its own biases when doing our information research and to do our due diligence?

Don't trust. Verify. ;)

Haha, yeah. Hindsight is really useful for financial analysis. Even we have an advantage against AI if we have the benefit of hindsight. ;)

No, you shouldn't blindly trust any output. But you can take it more serious if you put in your own numbers and assumptions. This is just a tool, not a crystal ball.

"The discount rate is the interest rate used to calculate the present value of future cash flows from a project or investment." I asked ChatGPT to explain like I'm five: Imagine you have a lemonade stand, and you want to know how much it's worth today based on how much money it will make in the future. The "discount rate of 15%" is like saying future money is worth 15% less each year. We use this number to figure out how much all the money you'll make in the future is worth right now. It's like using a special rule to say, "I’d rather have money now than later, so future money isn't worth as much." Because I like money now more than money in the future (=future cash flows), I reduce the value of future cash flows by 15% each year. This is a very conservative approach.

@@finxter Ok,🤔 it sounds like you/it is describing inflation without using the word inflation. Is that correct?

@@bonanzatimehes not describing inflation. ”Disccount rate” is a term to discribe the value of future earnings. Think about it like this: if i told you i will give you 1 thousand dollars ten years from now, what is the value of that right now? Well it isnt the full one thousand, because its not as valuable to you if you dont have it right now. So its worth ”some percentage” of that one thousand. That percentage is the discount rate.

15% discount…. Is this realistic? I wonder which stock is not considered overpriced by this yardstick? 😅

​@@lky88lim38it's not. With current interest rates and historical equity risk premium a normal wacc's range is between 7 and 9%

Don't know this. Don't buy meme stocks.

Seems you were correct lol how did you know it would be? Please share your sources :)

Haha, do I sense sarcasm?

Why shouldn't this be possible? People 10y ago believed Apple or Microsoft's profits and marketcap is impossible. There's no physical law that prevents companies from earning $1,000 billion in a given year. In fact, I believe it's highly likely given the debasement of USD and the winner-takes all economics in today's world.

Jo, die beiden Stonks haben halt in den letzten 10 Jahren 28% bzw. 25% p.a. hingelegt

​@finxter I'll tell you why. Because to have profits that high, even with current high margins it would need to have revenues north of 2 trillion. And the chip business is highly cyclical. Jensen himself said there's a total global AI Capex budget of 1T, and that is spanning multiple years, of which nvda could maybe get 500bn. If you look at consensus estimates, you are getting 140-150bn estimates annually for the next 5 years, so nowhere near your assumed amount. Plugging a bunch of figures into chatgpt and having it spit out a number that you like doesn't mean one's analysis has any merit. Thorough fundamental research is what's key, and ai is just a tool.

Can you elaborate? NVidia revenue growth rate over 100%? I doubt it. I'd say roughly 50% if you forced me to guess...

Thoughtful comment. Just a quick note - there are many ways of running DCF. I agree that numbers should be chosen carefully but it's generally a good appraoch of running various types of analyses, even more heuristic "napkin math" types. If it was all about precise accounting, accountants and math PhDs would be the richest people on the planet. Everybody needs to find their individual strengths in investing, all input numbers are wrong (even yours in your DCF analysis), and it's not the best approach to use "unlevered after tax cash flows" for every company in every situation. I'd argue that using net income for high-growth companies is often more accurate than FCFs due to the investments in growth infrastructure (e.g., GPUs).

Thanks. Would you be able to clarify this please? Not sure I get what you're saying and before I reply I want to make sure I do. We need to differentiate the growth rate of the business itself and the return of investment when investing in the stock. That's why we first estimate the growth of the business to get its intrinsic value. By adjusting the discount rate we can get our personal ROI from investing in the stock when our business growth assumptions are correct.

Strong disagree. Warren Buffett has said in multiple shareholder meetings that DCF is the only way to value a business. He's using "owner's earnings" instead of "free cash flow" or "net income". He says that he's doing a mini DCF in his head and buys companies only if they're at a significant discount to "intrinsic value". He defines intrinsic value as all the cash a business makes from here to judgement day, discounted into the present, which is exactly the definition of DCF.

So? Not sure we should reason by analogy here using a single data point as analogous scenario. You can always overlay technical charts and conclude anything from it. There is little information gain approaching a qualitative analysis from a TA PoV.

You think? I'm not sure - it is a revolution. Scaling intelligent labor is not a toy and it won't go away. It's like the industrial revolution on steroids. I think most people are just too stuck in their ways that they underestimate the disruptive power that comes with AI.

@@finxter agreed!

I think both of them will be flat or lower in 10 years

Thanks for the perspective. I don't think so at all. No way flat or down in 10y. But that's what makes it interesting!

@@finxter That´s the point. Everybody think there´s no way that could happen. The market punishes consensus

Why.

You don't need gpt to do dcf for you. There are tools already that can do it easily within mins and investing isn't that simple else everyone who is Powerful with money and brains would have done it without you and I knowing about it

This is about the tooling for investment analysis. Go ahead and mention some tools that are better for DCA than an intelligent, data-aware, financial analyst that you can iterate with to include or revise your own expectation for a certain company. It is my view that this foundational model is the best tool out there to help you with financial analysis. Certainly better than asking your "trusted banker" who's less intelligent, less skilled, and less objective than ChatGPT-4o.

@@Sujit_Kulkarni If you don't like the content just leave. no need to hate on the author ->. please. Or create your own videos.

Looks like it wasn’t bullshit. Nvidia sky rocketed

Not really. Perplexity is great but it uses inferior models and RAG compared to ChatGPT-4o. Just check out any model comparison benchmark online. Not sure why you call ChatGPT-4o garbage?