Machine Learning In Algorithmic Trading

سرفصل های دوره

Blending Algorithmic Trading with Machine Learning For Forex and Stock Market Indicators

1. Introduction

1. Introduction

2. Course Content

2. Machine Learning Introduction

1. What Is Machine Learning

2. Understanding The Basics

3. Types Of Machine Learning Models

4. Building Blocks And The Machine Learning Process

5. About Applications Using Machine Learning

3. Supervised Learning

1. Supervised Learning

2. Supervised Learning Key Concepts

3. Supervised Learning Regression By Example

4. Supervised Learning Classification

5. Supervised Learning Training Process

4. Unsupervised Learning

1. Unsupervised Learning

2. Unsupervised Learning Key Concepts

3. Unsupervised Learning Process Pipeline

4. Unsupervised Learning Challenges And Best Practices Discussion

5. Unsupervised Learning Importance And Closing Notes

5. Data Splitting Methods Overfitting And Underfitting

1. Data Splitting For Machine Learning

2. Data Splitting Techniques

3. Overfitting Underfitting And Generalization

4.1 03 data splitting.zip

4. Splitting Python Examples

6. Classification Algorithms

1. Classifiers Introduction

2. K Nearest Neighbors

3. K Nearest Neighbors Python Example

4. K means

5. K means Python Example

6. Decision Trees

7. Decision Trees Python Example

8. Random Forests

9. Random Forests Python Example

10. Logistic Regression

11. Logistic Regression Explained Example

12. Logistic Regression Python Example

13. Naive Bayes Classifier

14. Naive Bayes Gaussian Classifier

15. Naive Bayes Python Example

16. Support Vector Machines

17. Support Vector Machines Kernels

18. Support Vector Machines Python Example

Files.zip

7. Evaluating Classifiers

1. Accuracy, Confusion Matrix And Classification Report

2. ROC-AUC And PR-AUC

3. Confusion Matrix Python Example

4. ROC-AUC Python Example

5. PR-AUC Python Example

Files.zip

8. Data Analysis And Labelling Financial Data

1. About Data Sources And Labeling

2. Downloading Historical Data

3. Visualizing And Inspecting Indicators

4. Visualization Examples

5. Data Labeling

6. Fixed Time Horizon Method

7. Fixed Time Horizon Python Example

8. Improved Time Horizon Method

9. Improved Time Horizon Python Example

10. Triple Barrier Method

11. Triple Barrier Python Example

12. Strategy Specific Dynamic Labeling

13. Strategy Specific Dynamic Labeling Python Example

14. Strategy Thresholds Optimization

15. Strategy Example For Optimization

16. Thresholds Optimization Python Example

Files.zip

9. Feature Engineering

1. Processing Technical Indicators

2. Processing Technical Indicators Python Examples

3. Features Enhancement And Dimensionality Reduction

4. Features Enhancement And Dimensionality Reduction Python Examples

5. Standardization Normalization And One Hot Encoding

6. Standardization Normalization And One Hot Encoding Python Examples

Files.zip

10. Training Machine Learning Models

1. Fitting Classifiers

2. Fitting Classifiers Without Data Leakage

3. XGBoost

4. Neural Networks Classifier

5. XGBoost And Neural Networks Python Example

Files.zip

11. Financial Backtesting Of Machine Learning Strategies In Python

1.1 02 XGBooost Backtesting.zip

1. Backtesting Machine Learning Indicators In Python

2. Quick Recap And Final Thoughts

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تولید کننده: Udemy