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Machine Learning (AI) for Trading Stocks
#Programming #Python
Machine Learning (AI) Random Forest Regressor for Trading Stocks
Disclaimer: The material in this video is purely for educational purposes and should not be taken as professional investment advice. Invest at your own discretion.
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Trade Like a Pro with Keltner Channels & Python
zhlédnutí 4KPřed 7 měsíci
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Detect Significant Price Drops in Stocks Using Python
zhlédnutí 1,8KPřed 8 měsíci
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Komentáře

  • @abibee04
    @abibee04 Před 6 dny

    When i run the same, the python installation page is opening instead of run the file..can you help

  • @luiz_mubarak6804
    @luiz_mubarak6804 Před 7 dny

    Não funcionou.....não imprimiu o gráfico

  • @JeanetteScarlett-x2i
    @JeanetteScarlett-x2i Před 12 dny

    I can't believe how well this strategy works. It's like you have a crystal ball!🏛

  • @yashvanthika3851
    @yashvanthika3851 Před 12 dny

    Share the source code

  • @tinted8244
    @tinted8244 Před 15 dny

    thank you so much

  • @WillsJazzLoft
    @WillsJazzLoft Před 16 dny

    When you undertake this project in Python notebook as the presenter has done Gemini AI will complete the code for you by suggesting the lines of code. To accept what is suggested, just press the tab key on your keyboard. Through running the code can and getting an explanation from the Gemini AI regarding the errors, I determined that the API had changed.

  • @WillsJazzLoft
    @WillsJazzLoft Před 16 dny

    Okay here's the deal,.... The Yahoo finance API has likely changed since this video was first published. For all of those introductory lines of code importing all those different packages you only need a single line now as follows: import yfinance as yf

  • @shinenRise-kb6nb
    @shinenRise-kb6nb Před 17 dny

    but why is it same for 3.0 then? is it because it doesn't count anything after decimal?

  • @walt5507
    @walt5507 Před 19 dny

    I like the style you use and so I thought I'd follow along but I ran into issues almost on the first line. I can't install google-colab. I've tried everything that co pilot suggests but still get errors with the install and so unless I can get that loaded, I'm unable to follow along. Do you have any suggestions I can try? I've tried both Jupyter Notebook and VS. I've tried python -m pip install --use-pep517 google-colab, I've tried conda install -c conda-forge google-colab and many others - all give the same error deep within some code somewhere but not pip according to the error message.

  • @fabricecappe7651
    @fabricecappe7651 Před 22 dny

    Really great content, I learned a lot thank you.

  • @luiz_mubarak6804
    @luiz_mubarak6804 Před 25 dny

    Este funcionou....

  • @DManGrand
    @DManGrand Před 29 dny

    Not bad, it sucks at forecasting...

  • @tristeub997
    @tristeub997 Před měsícem

    It is totally useless wtf ??

  • @Ibrahim_webdeveloper
    @Ibrahim_webdeveloper Před měsícem

    ❤❤❤ from Nigeria

  • @gabrielantonioanibalmacphe6932

    I know this is really late but can anyone explain to me how I change the data on here for a more recent date and also what line of code is making it only show data for 2018?

  • @furinfo5158
    @furinfo5158 Před měsícem

    plz dont invest in crypto especialy waqar zaka group or u will be destroying ur life

  • @proflead
    @proflead Před měsícem

    Great tutorial!

  • @paulstone9755
    @paulstone9755 Před měsícem

    its not even close to the price.. Why didn't u normalize the data first?

    • @ChTapok
      @ChTapok Před měsícem

      It seems that normalization is not necessary for this algorithm.

  • @SuperLuckyLad
    @SuperLuckyLad Před měsícem

    Would a model need to be retrained for each individual share, or would it be able to make predictions about all shares in general after it had been trained on just one share?

  • @SohrabBaqtiari
    @SohrabBaqtiari Před měsícem

    Sorry dislike

  • @SohrabBaqtiari
    @SohrabBaqtiari Před měsícem

    It seems that you are poorly trained in correctly identifying buying and selling positions!!! Where in the market should you sell when the price rises?!!!!

  • @modisekemelo3760
    @modisekemelo3760 Před měsícem

    Very insightful...

  • @tychoBrahe1546
    @tychoBrahe1546 Před měsícem

    great stuff :)

  • @PandorasBox2
    @PandorasBox2 Před měsícem

    great topic thanks

  • @khaliltams6535
    @khaliltams6535 Před měsícem

    my code to train the model keeps loading but will not produce an output thus i cant finish the whole analysis. Does anyone know how i can fix this? The code: #Train the model model.fit(x_train, y_train, batch_size=64, epochs=1 )

  • @mreddy7356
    @mreddy7356 Před měsícem

    Thank you informative

  • @PodBlox-cl4ek
    @PodBlox-cl4ek Před 2 měsíci

    i dont understand cd C:\Python38-32 dose not work and the first one dose not work eaither

  • @minanabil1035
    @minanabil1035 Před 2 měsíci

    Thanks alot. great video.

  • @dariofabian2002
    @dariofabian2002 Před 2 měsíci

    So you make a 21 minutes video to show nothing ?

  • @isaacki12
    @isaacki12 Před 2 měsíci

    Thank you for your help! Great video :)

  • @robertpearce7795
    @robertpearce7795 Před 2 měsíci

    It is genuinely fascinating looking at this over three years later - Marriott has done pretty well, but all the others have been somewhere between meh and abysmal. Past performance is not a good indicator of future results!

  • @delmaregals
    @delmaregals Před 2 měsíci

    Hi i'm writing from asia, trying to learn using your video. however i don't get the tesla csv file. can you include in your links.

  • @rednibkb1
    @rednibkb1 Před 2 měsíci

    found on tests with ticker 'SAP.DE' and other stocks at 5 min, 1h , 1d interval to get max accuracy in those intervals: 5 min: 99.55 % accuracy 1 h : 80.12 % 1 d : 94.46 % ------------------------------------- using notebook: type into cell: !pip install xgboost helped me to import xgboost as xgb (py) and import yfinance as yf data = yf.download(ticker, period='60d', interval='5m')

  • @MrEdioss
    @MrEdioss Před 2 měsíci

    useless video, not even showing how this "python" is installed into cmd.

  • @amiravalos9021
    @amiravalos9021 Před 2 měsíci

    Hi, is there an update for this project coming soon by any chance? Seems like many people including myself are running into an issue with pandas_Datareader not functioning with yahoo api and yfinance is the new thing. Maybe you can help ?

  • @aashishkandel6112
    @aashishkandel6112 Před 2 měsíci

    There are so much remaining to learn, but this was some intresting stuff. I learned about LSTM(Long Short Term Memory), taking the data from web directly, preprocessing the data,training the data and also visualizing the data.

  • @fredyhazard6412
    @fredyhazard6412 Před 2 měsíci

    but how to use that on live?

  • @malikarslan9538
    @malikarslan9538 Před 2 měsíci

    why don't u imported pandas library ????

  • @RosaLei
    @RosaLei Před 2 měsíci

    Thank you for the code walk-through on this graph. 💡Love it!

  • @ayushmaheswari8827
    @ayushmaheswari8827 Před 2 měsíci

    How can we scale this to show next 30 day prediction from today?

  • @drm8164
    @drm8164 Před 2 měsíci

    9:17 please let me know if I m wrong I think that X should not include target value, so it should have 9 columns instead of 10 and exclude y value. So I think that X should be ---> X = dataset[ : , 0:9] Is it correct ? Thank you!

  • @iamnaudar
    @iamnaudar Před 2 měsíci

    That's just stupid shit, your model is just replicating past data with a lag, that's so stupid. How can this crap video have so many views?

  • @j.antoniopineda-b1770
    @j.antoniopineda-b1770 Před 2 měsíci

    I like your videos very good- size fonts is good because I use my mobile for watch vídeo everytime..

  • @vloggetts
    @vloggetts Před 2 měsíci

    No train test split. This is the equivalent of giving the model the answer sheet to the test so you don’t get an accurate picture of model performance

  • @fleshandbloody-hm3bc
    @fleshandbloody-hm3bc Před 3 měsíci

    Thank you!!