Excellent. I've been looking for something like this for 4 or 5 months. I found you by chance. I GOT ALL THE WAY TO THE END OF THE TUTORIAL WITHOUT ANY ERROR MESSAGES! Thanks. I'm subscribing to your channel!
Thanks a lot for your comment and greetings to South Africa. It is btw one of my top destinations to visit once in my life :-) For a living I am working in the field of Data Science.
Hey there Did you ever build that data base? I am trying to build one for African stocks can you offer me any suggestions on how to do this. Great Video man thank you so much.
Thanks for watching and your comment :-) Well it depends on how much time I am able to distribute for RUclips. I am planning on two more parts for the stock recommender, some ML stuff, trading with both cryptos and stocks and continuing my short series on Data Science topics to give you an idea of upcoming content. But it might change as e.g. streamlit was a spontaneous video as I was playing around a bit with it.
great video but when I try to recreate the code I cant get the graph to appear on the website Edit: it seems defining df = pd.DataFrame() fixed the issue
Thanks for watching and your comment :-) Can you post your code? Maybe I find the mistake on first sight. It should work without defining an empty frame.
Do you have more videos like this? I want to create a dashboard with candles on it and show signals like buy and sell on candle according to my custom strategy. Or any other videos links where i can get help from.
Only this one here: ruclips.net/video/YsnPlQyCYfo/видео.html and also videos in my cryptobot / Python for finance playlist to get signals. But your idea is a pretty nice one! Noted it.
Was it not possible with Streamlit, when you created this tutorial, to just save your changes and have the dashboard update automatically without exiting and rerunning Streamlit each time, or is that a new thing? You could save a lot of time with your development with that
Congrats :-D Thanks for your comment :-) To share this application you can deploy it! It is a super cool feature of streamlit. You just need a GitHub repo for it. I might cover deployment in future videos.
plus, struggling coding trailing stop loss, need your expert knowledge and guidance on this one.ive got 'PLUG' stock df, with 'Price', 'entry_signal', 'exit_signal', coloumns, but dont know how to utilise these coloumns to come up with a 1% trailing stop loss cloumn, can you guide me further what to do.... appriacate inputs.
Plug Power to the 🌙 :D (Just a joke , not an investment advice). The TSL is a very nice question and I will do a video on coding a trailing stop loss as I think it is quite helpful and important. Until then an ad hoc solution: I am not quite sure what is your entry signal. But your exit signal will highly probable be a boolean which is telling you that your SL is triggered or not. You need a series/column which is containing the highest achieved price as this is your benchmark for the Stop loss. Calculate the SL as 99% of this benchmark and then check if the current price is below this. But as said I am incorporating that into either a crypto strategy or a stock trading strategy soon.
Hi Algo, can you do a vid on coding " on how to find out which sectors and industries are booming right now", I feel like we missing out on alot of investing opportunities because we just don't know which sectors and industries are doing good at the moment... If you done this vid already, apologise for my ignorance,... If you hadn't please add to your to do list. Much appreciated.
Hi and thanks for your request :-) See the following sentences as sharing my thoughts and by no means as investment advice please: I would answer this question rather with kind of common sense than programming: What is a post crisis world looking like? What are new business opportunities? Which suffering companies have turnaround potential? And so on... From an analytical and Data Science perspective I think a Principle component analysis of a certain index would be interesting. Check this one out: towardsdatascience.com/stock-market-analytics-with-pca-d1c2318e3f0e You see that you are getting the top and worst performers where the worst performers are e.g. businesses connected to traveling. But in the future I might rather trade (no investment advice!) the exact opposite due to turnaround effects. But generally speaking I wouldn't know what kind of programming topic would cover your request. Can you maybe elaborate what would be helpful for you?
Excellent. I've been looking for something like this for 4 or 5 months. I found you by chance. I GOT ALL THE WAY TO THE END OF THE TUTORIAL WITHOUT ANY ERROR MESSAGES!
Thanks. I'm subscribing to your channel!
Thanks a lot man. Appreciate your support!
I've seen a bunch of streamlit tutorials...This is one of the best. Thanks
Thanks a lot for your kind words :-) Appreciate it!
Great video mate! Clear and concise. Was working on something similar. Will deploy the learnings in my project. Thanks and Greetings from India.
Awesome, thanks a lot for your feedback and I am happy you could extract value out of it :-)
So simple and elegant solution. Thanks 👏👏
Thanks mate. Really appreciate your support since quite a long time now :-)
Wowwwww... never heard of streamlit before. Totally cool (especially to a Python noob like me)! Great topic material.
Yep, its awesome! :-)
This is a great topic and well explained.
Thank you also for adjusting the fonts. Not many people bother to do so.
Thanks a bunch for your feedback mate. Really appreciate it :-)
Great Vids as always.
What sort of work do you do?
s/o from South Africa
Thanks a lot for your comment and greetings to South Africa. It is btw one of my top destinations to visit once in my life :-)
For a living I am working in the field of Data Science.
Thanks alot bro for this one ,feels good to be back to something this useful after a break.👍
Always a good choice to take a break! Thanks for watching and your comment mate :-)
Great video on streamlit, please make more video on that
Thank you buddy. Happy to announce that there are more videos on streamlit in the pipeline 🙂
Hey there Did you ever build that data base? I am trying to build one for African stocks can you offer me any suggestions on how to do this. Great Video man thank you so much.
I did! Just check out the other videos on streamlit on my channel. Let me know if you don't find something!
Great vide on streamlit , what sort of things can we expect to see in coming videos in terms of topics ?
Thanks for watching and your comment :-)
Well it depends on how much time I am able to distribute for RUclips. I am planning on two more parts for the stock recommender, some ML stuff, trading with both cryptos and stocks and continuing my short series on Data Science topics to give you an idea of upcoming content. But it might change as e.g. streamlit was a spontaneous video as I was playing around a bit with it.
The goat video
You are :-) Thanks for watching my friend!
great video but when I try to recreate the code I cant get the graph to appear on the website Edit: it seems defining df = pd.DataFrame() fixed the issue
Thanks for watching and your comment :-)
Can you post your code? Maybe I find the mistake on first sight. It should work without defining an empty frame.
Truly amazing Mr.Vibezz! Please if you can do more data engineering, streamlit, sql content.
Thank you man :-)
Another good vid...👍
Thank you so much! :-)
Great, Its possible to change name assets? for example BTC-USD to BITCOIN ? I couldn't find a code for that
Thanks buddy. yeah sure, that's possible.
Do you have more videos like this?
I want to create a dashboard with candles on it and show signals like buy and sell on candle according to my custom strategy. Or any other videos links where i can get help from.
Only this one here:
ruclips.net/video/YsnPlQyCYfo/видео.html
and also videos in my cryptobot / Python for finance playlist to get signals. But your idea is a pretty nice one! Noted it.
Hi!
thank for the video!
one quick question:
is it possibile to display the price of a stock and the relative return on the same chart?
Welcome buddy,
it is but I would suggest two axis then. But I wouldn't see a reason to do that btw.
hi @Algovibes , is it possible to make auto reload the stock data ? maybe once per day. Thanks
Hey mate,
yes! That's possible. I have covered it in my Stock recommender playlist in Part III or so:
ruclips.net/p/PL9ATnizYJ7f9sW_mdY3071dS8mMwBGu2S
hi@@Algovibes , but no idea how to do in the dashboard
Fantastic tutorial. Please make one where you connect sql_database with streamlit and deploing it on your server.
Thank you very much for your feedback! Spasibo :-) I have noted that!
Great Video :)
Thanks buddy :-)
Nice to do that with relative strength RS of a stock against an index. Also, plotting the moving averages such as 50, 100 and 200.
Pretty nice suggestion. Thanks a lot!
Why do you use spyder instead of pycharm, just a personal preference or is there a factual reason behind that?
Personal preference :-) PyCharm is awesome as well and you cannot go wrong with it.
Was it not possible with Streamlit, when you created this tutorial, to just save your changes and have the dashboard update automatically without exiting and rerunning Streamlit each time, or is that a new thing? You could save a lot of time with your development with that
hi Algo, thanks for linnk, looking into it.
welcome :)
First comment..thanks for the video..btw is it possible to convert this application into exe file and share
Congrats :-D Thanks for your comment :-)
To share this application you can deploy it! It is a super cool feature of streamlit. You just need a GitHub repo for it.
I might cover deployment in future videos.
plus, struggling coding trailing stop loss, need your expert knowledge and guidance on this one.ive got 'PLUG' stock df, with 'Price', 'entry_signal', 'exit_signal', coloumns, but dont know how to utilise these coloumns to come up with a 1% trailing stop loss cloumn, can you guide me further what to do.... appriacate inputs.
Plug Power to the 🌙 :D (Just a joke , not an investment advice). The TSL is a very nice question and I will do a video on coding a trailing stop loss as I think it is quite helpful and important.
Until then an ad hoc solution:
I am not quite sure what is your entry signal. But your exit signal will highly probable be a boolean which is telling you that your SL is triggered or not.
You need a series/column which is containing the highest achieved price as this is your benchmark for the Stop loss.
Calculate the SL as 99% of this benchmark and then check if the current price is below this.
But as said I am incorporating that into either a crypto strategy or a stock trading strategy soon.
@@Algovibes thanks algo, your the best!
@@Algovibes look forward to this video how to do it so it show on the Streamlit dashboard with Trailing Stop point
I followed the code but it prompt error "AttributeError: 'Series' object has no attribute 'comprod'". Any idea what could be the issue?
Seems like a typo. cumprod instead of comprod.
Add model selection along with it
We need more from streamlit and how to connect database to it!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Thank you very much for your feedback. Helps me a lot and I really appreciate it!
Which algorithm is used
Can you elaborate?
Which ml algorithm is used lstm or svm or rnn
Hi Algo, can you do a vid on coding " on how to find out which sectors and industries are booming right now", I feel like we missing out on alot of investing opportunities because we just don't know which sectors and industries are doing good at the moment... If you done this vid already, apologise for my ignorance,... If you hadn't please add to your to do list. Much appreciated.
Hi and thanks for your request :-)
See the following sentences as sharing my thoughts and by no means as investment advice please:
I would answer this question rather with kind of common sense than programming: What is a post crisis world looking like? What are new business opportunities? Which suffering companies have turnaround potential? And so on...
From an analytical and Data Science perspective I think a Principle component analysis of a certain index would be interesting. Check this one out: towardsdatascience.com/stock-market-analytics-with-pca-d1c2318e3f0e
You see that you are getting the top and worst performers where the worst performers are e.g. businesses connected to traveling. But in the future I might rather trade (no investment advice!) the exact opposite due to turnaround effects.
But generally speaking I wouldn't know what kind of programming topic would cover your request. Can you maybe elaborate what would be helpful for you?