This course provides the foundation for developing advanced trading strategies using machine learning techniques. In this course, you’ll review the key components that are common to every trading strategy, no matter how complex. You’ll be introduced to multiple trading strategies including quantitative trading, pairs trading, and momentum trading. By the end of the course, you will be able to design basic quantitative trading strategies, build machine learning models using Keras and TensorFlow, build a pair trading strategy prediction model and back test it, and build a momentum-based trading model and back test it.
Using Machine Learning in Trading and Finance
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Using Machine Learning in Trading and Finance
This course is part of Machine Learning for Trading Specialization
Instructor: Jack Farmer
30,825 already enrolled
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Intermediate level
Recommended experience
8 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Design basic quantitative trading strategies
Use Keras and Tensorflow to build machine learning models
Build a pair trading strategy prediction model and back test it.
Build a momentum-based trading model and back test it.
Skills you'll gain
- Market Trend
- Model Evaluation
- Correlation Analysis
- Financial Trading
- Feature Engineering
- Machine Learning Methods
- Technical Analysis
- Applied Machine Learning
- Statistical Machine Learning
- Data Preprocessing
- Model Training
- Market Data
- Securities Trading
- Machine Learning
- Deep Learning
- Artificial Neural Networks
- Data Pipelines
Tools you'll learn
Details to know
Shareable certificate
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Assessments
2 assignments
Taught in English
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This course is part of the Machine Learning for Trading Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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