MQL5 ADVANCED:Code Machine learning EAs with Neural Networks

سرفصل های دوره

Learn to code a neural network into Expert advisors for a better machine learning based trading performance with MQL5

1. Developing the RSI OBOS EA

1. The RSI OBOS trading strategy

2. Getting indicator values

3. Setting up a custom chart appearance

4. Creating objects from the CTrade class

5. Counting the number of trades

6. Coding entry signals

7. Testing trade entry signals

8. Trade entry

9. Closing trades

2. Introduction to machine learning

1. Introduction to machine learning

2. Machine learning categories

3. Steps involved in developing a machine learning EA

4. Introduction to Neural Networks

3. Coding a Neural Network into the RSI OBOS strategy

1. Setting up Neural network nodes and weights

2. Data cleaning and preprocessing

3. Hidden layer calculations

4. Output layer calculations

5. Testing the Neural network enhanced EA

6. Neural network training assignment.html

4. Cost Averaging trade management

1. Preparing the global scope

2. Adding cost averaging signals

3. Entering cost averaging trades

4. Testing the effect of cost averaging

5. Continuous neural network training

1. Coding a back propagation function

2. Testing the back propagation enhanced EA

3. Back propagation optimization.html

6. Conclusion

1. Conclusion

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تولید کننده: Udemy-Training