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[ FreeCryptoLearn com ] Udemy - Deep Learning for algorithmic trading using Python

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[ FreeCryptoLearn com ] Udemy - Deep Learning for algorithmic trading using Python

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Name:[ FreeCryptoLearn com ] Udemy - Deep Learning for algorithmic trading using Python

Infohash: 1EC3C2EE9A199F8EDB6754A7D99B8083321C28AE

Total Size: 2.48 GB

Seeds: 12

Leechers: 15

Stream: Watch Full Movie @ Movie4u

Last Updated: 2022-02-24 21:49:57 (Update Now)

Torrent added: 2022-02-21 21:03:41






Torrent Files List


Get Bonus Crypto Downloads Here.url (Size: 2.48 GB) (Files: 79)

 Get Bonus Crypto Downloads Here.url

0.18 KB

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  1. Introduction

   1. READ ME.html

1.01 KB

   2. Install the environments.html

1.13 KB

  2. Python basics

   1. Introduction.mp4

10.38 MB

   10. Python structures FOR.mp4

29.93 MB

   11. Python structures WHILE.mp4

14.34 MB

   12. Functions Basics of function.mp4

32.71 MB

   13. Functions Local variable.mp4

14.27 MB

   14. Functions Global variable.mp4

12.75 MB

   15. Functions Lambda function.mp4

13.17 MB

   2. Type of object Number.mp4

23.97 MB

   3. Type of object String.mp4

83.58 MB

   4. Type of object Logical operations Boolean.mp4

25.68 MB

   5. Type of object Variable assignment.mp4

37.02 MB

   6. Type of object Tuple and list.mp4

49.84 MB

   7. Type of object Dictionary.mp4

46.75 MB

   8. Type of object Set.mp4

28.72 MB

   9. Python structures IF ELIF ELSE.mp4

40.93 MB

  3. Python for data science

   1. Introduction.mp4

5.24 MB

   10. Matplotlib Toolbox.mp4

17.58 MB

   2. Numpy Array.mp4

60.10 MB

   3. Numpy Random.mp4

54.14 MB

   4. Numpy Indexing Slicing transformation.mp4

85.41 MB

   5. Pandas Serie and DataFrame.mp4

31.24 MB

   6. Pandas Cleaning and selection data.mp4

81.57 MB

   6.1 assets.csv

3.09 MB

   7. Pandas Conditional selection.mp4

25.97 MB

   8. Matplotlib Graph.mp4

19.72 MB

   9. Matplotlib Scatter.mp4

14.35 MB

  4. Import and manage the data

   1. Introduction.mp4

9.72 MB

   2. Import & manage data from Metatrader 5.mp4

104.44 MB

   3. Import & manage data from Yahoo Finance.mp4

43.91 MB

  5. Features engineering

   1. Introduction.mp4

21.45 MB

   2. Get stock prices.mp4

16.65 MB

   3. Create a simple moving average (SMA).mp4

42.95 MB

   4. Create a moving standard deviation (MSD).mp4

20.64 MB

   5. Use the Technical analysis library to compute the RSI indicator.mp4

29.98 MB

   6. Automatization of the features engineering process.mp4

19.19 MB

  6. Deep Neural Networks apply to algorithmic trading

   1. Introduction.mp4

12.41 MB

   10. How to fix the stochastic initialization problem.mp4

40.34 MB

   11. Bagging method using the different ANNs.mp4

57.47 MB

   2. Quick recap of the DNN theory.mp4

85.79 MB

   3. Data import & Features engineering.mp4

30.81 MB

   4. Train Test set split (to fit the DNN model).mp4

42.45 MB

   5. Why and how to standardize the features.mp4

34.59 MB

   6. Create a DNN using Tensorflow 2.0.mp4

68.73 MB

   7. Use the DNN predictions to create a trading strategy.mp4

59.36 MB

   8. Automate the process.mp4

35.24 MB

   9. The stochastic initialization problem.mp4

24.97 MB

  7. Vectorized backtesting

   1. Introduction.mp4

7.37 MB

   2. Sortino ratio computation.mp4

57.53 MB

   3. Beta ratio computation (CAPM metric).mp4

72.70 MB

   4. Alpha ratio computation (CAPM metric).mp4

23.59 MB

   5. Drawdown function creation.mp4

28.69 MB

   6. Drawdown application.mp4

27.41 MB

   7. Backtesting function (1).mp4

21.28 MB

   8. Backtesting function (2).mp4

24.22 MB

   9. Backtest a trading strategy based on DNN.mp4

15.83 MB

  8. Recurrent Neural Networks for algorithmic trading

   1. Introduction.mp4

8.99 MB

   2. Theory behind RNNs.mp4

34.06 MB

   3. Recap from the DNN chapter.mp4

51.63 MB

   4. How to transform 2-dimensional data into 3-dimensional data.mp4

41.19 MB

   5. How to create a RNN using TensorFlow 2.0.mp4

67.14 MB

   6. Dropout Layer.mp4

16.65 MB

   7. RNN prediction to create a trading strategy.mp4

60.68 MB

   8. Automate the process.mp4

17.25 MB

   9. Find the best models throughout all the stochastic initialization.mp4

35.58 MB

  9. MetaTrader 5 live trading using Python

   1. Introduction.mp4

8.93 MB

   10. Live Trading strategy based on ANN.mp4

25.56 MB

   11. Live Trading strategy based on RNN.mp4

26.27 MB

   2. Install a library on Jupyter.mp4

2.78 MB

   3. Initialize the platform.mp4

14.71 MB

   4. Get data broker.mp4

23.10 MB

   5. Send orders on the market using Python.mp4

44.48 MB

   6. Get current positions.mp4

44.48 MB

   7. Run structure creation.mp4

32.71 MB

   8. Close all positions.mp4

10.85 MB

   9. Live Trading application random signals.mp4

32.80 MB

  Bonus Resources.txt

0.38 KB
 

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