Cryptocurrency and stock analysis through simple performance metrics, volatility, correlations etc.

35 Comments

1. If possible could you please make a guide on this???

2. Sir, is there a way to program a speech recognition deep learning model???

3. Can you show us how to feed the prediction data into the model so we actually predict ahead? I mean not just one day. How can we predict the next month? Thanks 🙏

4. can you post the codes on github or somewhere else ?

5. Интересно, сколько зритиелей из россии?)

6. Great video, as always!🙌

7. Please can you show us how to predict a month ahead and plot the graph? That would be nice to see!

8. the tensorflow command is giving me errors in anaconda. any help is greatly appreciated

9. Please, how to make it to predict more than one value at a time and instead make it to predict 30 or 60 values at once after it analyses past X values sequence? Thank you!

10. Сan I get the full code somewhere? Thanks for the videos 👍

11. Same error, if i figure it out i'il let you know

12. Why is line 17 giving me a syntaxerror: invalid syntax. Help

13. I solved it. You probably have writed the last x_test var wrong (like me). Just use this

14. the code didn't work

15. so where to find these data sets ?pip install numpy like that ????, where can i find these?

16. Heyy bro first of all great video. I have a request, can you put your code on your github ?

17. any help would be appreciated

18. hey im getting the error 'float' object is not subscriptable on line 22 of my code. Here is the code: scaled_data = scaler.fit_transform(data['Close'].values.reshape(-1,1)) I have tried but idk how to fix. Please somebody help.

19. Thanks. Very interesting lessons, but I think you should follow and add more explanatory comments. This will allow you to analyze the code better over time.

20. Smart YouTube, exposing your video on right time.

21. real_data = [model_inputs[len(model_inputs) – prediction_days:len(model_inputs) + 1, 0]]

22. No ,there is no way ,u cannot get the next predicted price unless actual price is already given .So the prediction is a False Proposition to some extent.

23. I have the same error, still looking for a fix 🙁

24. I think he does this near the end.

25. yes, it is.

26. So that you understand what is happening instead of copying it. This video is for you to learn programming not for you to download a trading bot

27. yes, this is called transfer learning or incremental learning.

28. I am guessing the way to do it is to log the same data on realtime but with prediction for example open, high, low, close, close_pred, and just retrain the model by loading the model using tensorflow and feeding it the features of realtime with making a backup of previous model for falling back in case of overfitting

29. i have the same issue but solved when i changed the venv

30. I am having the same problem

31. Same problem

32. You should include some indicators, eg EMA and its prediction for confirmation.

33. Best regards and keep up the good work.

34. '''real_data = [model_inputs[len(model_inputs) + 1 – future_day: len(model_inputs) + 1]]''

35. You intended not to post the source code on your video so we can type them manually? Just asking.

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