Hands On Machine Learning for Algorithmic Trading By Stefan Jansen

Publisher: COMPUTER SCIENCE

Availability: In Stock
SKU: 53371
Number of Pages: 684

Rs.1,340.00

Rs.1,895.00

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Description

"Hands-On Machine Learning for Algorithmic Trading" by Stefan Jansen offers a practical guide to applying machine learning techniques in the realm of algorithmic trading. With a focus on hands-on learning, this book provides insights into developing and deploying machine learning models for trading strategies, making it an essential resource for traders, quantitative analysts, and data scientists seeking to leverage machine learning in financial markets.

Key Points:

Practical Approach: The book takes a hands-on approach, guiding readers through the process of developing, testing, and deploying machine learning models for algorithmic trading strategies.

Machine Learning Techniques: Readers will learn a variety of machine learning techniques applicable to algorithmic trading, including regression, classification, time series analysis, and reinforcement learning.

Data Preparation: Emphasizing the importance of data quality and preprocessing, the book covers techniques for cleaning, transforming, and selecting relevant data for model training.

Model Evaluation: With a focus on performance evaluation and validation, the book discusses methodologies for assessing the effectiveness and robustness of trading strategies developed using machine learning.

Real-World Examples: Through real-world examples and case studies, the book illustrates how machine learning can be applied to various trading scenarios, providing practical insights and actionable strategies.

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Writer ✤ Stefan Jansen

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