Hands-On Machine Learning for Algorithmic Trading
With the help of this book, you'll build smart algorithmic models using machine learning algorithms covering tasks such as time series forecasting, backtesting, trade predictions, and more using easy-to-follow examples. By the end, you'll be able to adopt algorithmic trading in your own business and implement intelligent investigative strategies.
Offered by
Difficulty Level
Intermediate
Completion Time
22h48m
Language
English
About Book
Who Is This Book For?
Hands-On Machine Learning for Algorithmic Trading is for data analysts, data scientists, and Python developers, as well as investment analysts and portfolio managers working within the finance and investment industry. If you want to perform efficient algorithmic trading by developing smart investigating strategies using machine learning algorithms, this is the book for you. Some understanding of Python and machine learning techniques is mandatory.
Hands-On Machine Learning for Algorithmic Trading
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 22h48m total length
Machine Learning for Trading
Market and Fundamental Data
Alternative Data for Finance
Alpha Factor Research
Strategy Evaluation
The Machine Learning Process
Linear Models
Time Series Models
Bayesian Machine Learning
Decision Trees and Random Forests
Gradient Boosting Machines
Unsupervised Learning
Working with Text Data
Topic Modeling
Word Embeddings
Next Steps
Related Resources
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