Hello Ritvik, thanks for sharing this content. But I am interested on the Top Gainers/Top Losers Screener video and I am not able to find it. Could you please share the link? I am actually interested on building a screener that suits my criteria in Polygon, but I guess that the am video would help me understand how to proceed with my desired screener.
Hi Ritvik Hope you are keeping well, trying to create Universe of top 500 stocks as per market cap. On the same, would request if you may please advise if there is a way to run this for all tickers rather than AAPL. Loop with a list can be feeded to obtain market cap for the list of tickers. Is there a way to retrieve for all tickers available in polygon? If yes how?
There is always a limit to extraction in the free version. But still we want to get data for multiple stocks, we just need to write a for loop for that. You can try using Alpha Vantage and 12 Data as well to get data. Smart would be to use all of them and exausting everyone's free limit to save as much data as possible in your local drive 😉
Hi Ritvik Would request if it might be possible if you can please make a video on back testing. Your videos are honestly great and the way you go through stuff if very involving
It does not. Extracting Indian stocks data for free is very difficult and I know I am getting a lot of comments to cover this topic. I have kept it on priority and will try to cover it very soon, after I finish the Polygon series. :)
@@FinancialProgrammingwithRitvik I've worked upon yahoo finance, its good but it sometimes does not load data properly and especially if we run it in a loop, then it produces timeout error. It would be great if you would touch this aspect as well. Keep amazing us!
There's a limit on the download. I guess it's 5 years in one refresh. So, what we can do here is make a small for loop which will download data for first 5 years and then in second iteration, next 5 years. Then we can concat the data to make the final dataframe.
Needed somebody to teach how to get the financial data from api's for my projects.
Loved your content
Glad it was helpful!
Where do we get historical options per minute data of any strike price of indian market indices ?
Hello Ritvik, thanks for sharing this content. But I am interested on the Top Gainers/Top Losers Screener video and I am not able to find it. Could you please share the link? I am actually interested on building a screener that suits my criteria in Polygon, but I guess that the am video would help me understand how to proceed with my desired screener.
I think I took it down. I'll upload a new video in the future
Great video. Is it possible for Polygon to automate retrieving the "exact time" of the top tick and the low tick for a particular stock?
Yes, absolutely. They have it in their paid API.
This has definitely sparked my interest in financial programming!
That's Great to hear!
How would you pull multiple tickers and output each ticker information into their own csv file?
We need to use a foor loop and save it in a pandas dataframe and then save it in a csv file for that.
Sir,how to append aroon values in bitcoin trading bot?
Please refer your comment on this video ruclips.net/video/KYQisveoOMQ/видео.html
Hi! Amazing videos! do you know how to get historical float?? (I've been looking how to get it but i cant find)
Couldn't understand your question. Could you please elaborate?
Hi Ritvik
Hope you are keeping well, trying to create Universe of top 500 stocks as per market cap. On the same, would request if you may please advise if there is a way to run this for all tickers rather than AAPL. Loop with a list can be feeded to obtain market cap for the list of tickers. Is there a way to retrieve for all tickers available in polygon? If yes how?
There is always a limit to extraction in the free version. But still we want to get data for multiple stocks, we just need to write a for loop for that. You can try using Alpha Vantage and 12 Data as well to get data. Smart would be to use all of them and exausting everyone's free limit to save as much data as possible in your local drive 😉
Really Helpful. Informative video!
Glad it was helpful!
Great content. I hope to have time to learn from the things you are teaching. Liked and subscribed!
Awesome, thank you!
Hi Ritvik
Would request if it might be possible if you can please make a video on back testing.
Your videos are honestly great and the way you go through stuff if very involving
Sure, I will cover a video on back testing soon. As you are one of my favorites sub, your request will have more priority ;)
@@FinancialProgrammingwithRitvik ha ha thanks for kind words
Very informative video! Thank You!
Glad it was helpful! Do you know any other useful API that's your favorite?
Keep up the same vidoes! Very educational.
Thanks :)
Really interesting video!
Thanks :)
can you please do some videos with qfs api, ,much appreciated
Noted.
Hi Rithvik, good work..! pls provide access to the Gdrive
I provide the access daily after checking everything. I see your name in the list. Have you got the access by now?
Thanks for the video, is NSE data also available in Polygon.io ?
It does not. Extracting Indian stocks data for free is very difficult and I know I am getting a lot of comments to cover this topic. I have kept it on priority and will try to cover it very soon, after I finish the Polygon series. :)
@@FinancialProgrammingwithRitvik I've worked upon yahoo finance, its good but it sometimes does not load data properly and especially if we run it in a loop, then it produces timeout error. It would be great if you would touch this aspect as well. Keep amazing us!
very good explanation.
Glad it was helpful!
like for the mic test. let's go!
Thank you :)
I gave you a like as soon as you started beatboxing lol
hahaha... Thank you very much for your appreciation! :)
Hi mate,
Can I obtain 10 years of data?
There's a limit on the download. I guess it's 5 years in one refresh. So, what we can do here is make a small for loop which will download data for first 5 years and then in second iteration, next 5 years. Then we can concat the data to make the final dataframe.
Thank you brother
My pleasure :)