The man, the myth, the legend. You are a genius and a promoter of humanity. Whatever i say falls short for the dedication and love you put through this videos. Thank you!
It is absolutely possible to do that. You can derive the cash-flows, you can make assumptions about the future growth as well as the discount rate. It is actually on my list to do that in the near future :)
Hey there. Intrinsic value is a bit more difficult to calculate only based on the financial statements as there's a lot of information as part of the notes in the annual report such as stock options, but also it depends on the future of the business which is not captured in the historical performance.
@@Pythonenthusiast Understood. We are just speculating the discounted value assuming the Free cash flow growth for the next 10 years is the close to the ones from the last 5 years. I appreciate your prompt reply. Cheers
@@binhpham-by6ch Hey there, well, you can extract the free cash flow from the cash-flow statement and average the growth of the last period. You need to get choose a discount rate and you have all the ingredients to create the model.
Thanks Alot. Bro, could you make tutorial series to calculate 10 years of PER and PBV averages? also much helping if you make serial about growth valuation. Really you do great job...
Great video! Upon trying the code, I got the message .append method is going to be deprecated and removed from pandas. It suggested me to use pandas.concat instead. I tried the pd.concat route but it produces a blank table. Any suggestion how to convert the .append to .concat?
In my opinion, it is not the calculation that takes time, but fetching the data from external source. The numpy improvement wouldn't really change the time it takes significantly.
Great tutorial video! Is there a way for the script only to output companies with Piotroski Score above 7 from all in the SP500 list of stocks? That would really help to narrow down the search for potential stocks. Again, many thanks for this great tutorial!
![แฉกลโกงงานวัด 2024 [ โกงมั้ยครับ ep.106 ] | DOM](http://i.ytimg.com/vi/taC5dpP3HXA/mqdefault.jpg)
The man, the myth, the legend. You are a genius and a promoter of humanity. Whatever i say falls short for the dedication and love you put through this videos. Thank you!
I appreciate the support!
You're doing some great work out there!! I can see you reaching 10k really quick!
Thanks a lot!
Hello, long time no see.... This is what I've been looking for.
Glad you like it :)
Really great video series! Im python newbie and that is very informative to learn how to work with data. Thanks!
Thanks for your comment and keep up the good job!
Thank you for sharing your knowledge. It is very helpful for building a stock screener. Well done.
Thanks Victor!
Really a great video....looking forward to more videos
such a great tool to use ,thanks for sharing the knowledge
Excellent tutorial!
Hi, very intuitive videos. Can you go over any scheduled task in python instead of using sleep?
is it possible to build a DCF model WITH this python package?
It is absolutely possible to do that. You can derive the cash-flows, you can make assumptions about the future growth as well as the discount rate. It is actually on my list to do that in the near future :)
Great video series on Fundamental Analysis! I am wondering if you can help us creating a function to calculate the intrinsic value.
Thanks a million !
Hey there. Intrinsic value is a bit more difficult to calculate only based on the financial statements as there's a lot of information as part of the notes in the annual report such as stock options, but also it depends on the future of the business which is not captured in the historical performance.
@@Pythonenthusiast Understood. We are just speculating the discounted value assuming the Free cash flow growth for the next 10 years is the close to the ones from the last 5 years. I appreciate your prompt reply. Cheers
@@binhpham-by6ch Hey there, well, you can extract the free cash flow from the cash-flow statement and average the growth of the last period. You need to get choose a discount rate and you have all the ingredients to create the model.
Thanks Alot. Bro, could you make tutorial series to calculate 10 years of PER and PBV averages? also much helping if you make serial about growth valuation. Really you do great job...
Great video!
Upon trying the code, I got the message .append method is going to be deprecated and removed from pandas. It suggested me to use pandas.concat instead.
I tried the pd.concat route but it produces a blank table.
Any suggestion how to convert the .append to .concat?
I am facing the same issue too..any help is appreciated
The problem is all calculation is soooo long. Very slow. How to solve it? it might be you could guide integrate with numpy?
In my opinion, it is not the calculation that takes time, but fetching the data from external source. The numpy improvement wouldn't really change the time it takes significantly.
Great tutorial video!
Is there a way for the script only to output companies with Piotroski Score above 7 from all in the SP500 list of stocks? That would really help to narrow down the search for potential stocks.
Again, many thanks for this great tutorial!
Absolutely, you can have the script do all the computations in the background and then only display the ones where the Piotroski Score is above 7.