Hands-on machine learning for algorithmic trading : design and implement investment strategies based on smart algorithms that learn from data using Python [E-Book] / Stefan Jansen.
The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment s...
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Full text |
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Personal Name(s): | Jansen, Stefan, author |
Edition: |
1st edition |
Imprint: |
[Birmingham] :
Packt Publishing,
2018
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Physical Description: |
668 pages (online resource) |
Note: |
englisch |
ISBN: |
9781789346411 9781789342710 178934641X |
Subject (LOC): |
- Hands-on machine learning for algorithmic trading : design and implement investment strategies based on smart algorithms that learn from data using Python
- Contributors
- Table of Contents
- Preface
- Chatper 1: Machine Learning for Trading
- Chatper 2: Market and Fundamental Data
- Chatper 3: Alternative Data for Finance
- Chatper 4: Alpha Factor Research
- Chatper 5: Strategy Evaluation
- Chatper 6: The Machine Learning Process
- Chatper 7: Linear Models
- Chatper 8: Time Series Models
- Chatper 9: Bayesian Machine Learning
- Chatper 10: Decision Trees and Random Forests
- Chatper 11: Gradient Boosting Machines
- Chatper 12: Unsupervised Learning
- Chatper 13: Working with Text Data
- Chatper 14: Topic Modeling
- Chatper 15: Word Embeddings
- Chatper 16: Deep Learning
- Chatper 17: Convolutional Neural Networks
- Chatper 18: Recurrent Neural Networks
- Chatper 19: Autoencoders and Generative Adversarial Nets
- Chatper 20: Reinforcement Learning
- Chatper 21: Next Steps
- Other Books You May Enjoy
- Index.