MQL5 MACHINE LEARNING 01: Neural Networks For Algo-Trading

سرفصل های دوره

A firm and steadfast introduction to Machine Learning and Neural network application in Algorithmic trading with MQL5

1 - Overview of Machine learning

1 - Data science Artificial intelligence and Machine learning

2 - Types of Machine learning

3 - Introduction to Neural Networks

4 - Feed Forward Neural Network Architecture

2 - Introduction to Neural Networks

5 - ForwardPass on a spreadsheet

5 - Students package.txt

6 - Mean squared error on a spread sheet

7 - Backward pass on a spread sheet

8 - Gradient descent on a spread sheet

3 - Vector and Matrix Datatypes

9 - Linear Algebra Vectors and Matrices

10 - Declaring Matrices and Vectors

11 - Initializing Matrices and Vectors

12 - Copying Data into Matrices and Vectors

13 - Copying Timeseries Data into Matrices and Vectors

14 - Matrices and Vector Operations

15 - Manipulating Matrices

4 - Data Collection

16 - Neural Network Architecture

17 - General EA parameters

18 - Setting the Live calculation interval

19 - Creating Data Vessels

20 - Initializing Handles

21 - Collecting indicator Data

22 - Data Normalization

23 - Initializing Weights and Bias

5 - Forward Pass

24 - Converting Matrices to Vectors

25 - Converting Vectors to Matrices

26 - Neuron Calculations

27 - Forward Function

6 - Neural Network Training

28 - Searching for Patterns

29 - Removing an index from a Vector

30 - Removing Matrix Rows and Columns

31 - Confusion Matrix Declaration

32 - Populating the Confusion Matrix

33 - Model Accuracy and Precision

34 - Recall Sensitivity Calculation

35 - Specificity calculation

36 - F1 Score calculation

37 - Support calculation

38 - Predictive Metrics averages

39 - Creating Data classes

40 - One Hot Encoding

41 - Loss Function Options

42 - Batch Forward Pass

43 - Back Propagation training

44 - Prediction Presentation

45 - Model Training

7 - Model Testing

46 - Displaying Probability Signals

47 - Visually testing the model

48 - Assignment

8 - Conclusion

49 - Conclusion

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تولید کننده: Udemy