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Algorithmic Trading with Python: Quantitative Meth

$26.76
This book, "Algorithmic Trading with Python: Quantitative Methods and Strategy Development," provides a comprehensive introduction to algorithmic trading and quantitative methods for developing trading strategies. Through the use of Python, the book explains the fundamentals of algorithmic trading and introduces key concepts such as data mining, machine learning, and backtesting. It also covers the development of various strategies, such as trend following, mean reversion, and arbitrage. The book is written in a clear and engaging style and is intended for both experienced traders and those just starting out in quantitative trading. It provides detailed theoretical explanations of the concepts, as well as practical examples of how to use them in Python. It also contains numerous illustrations and diagrams to help readers understand the topics better. In addition to introducing algorithmic trading and quantitative strategies, the book also provides an in-depth look at risk management, portfolio optimization, and backtesting. It is an essential guide for anyone looking to gain an in-depth understanding of algorithmic trading and quantitative methods and use them to develop successful trading strategies.
Sale
Algorithmic Trading with Python: Quantitative Methods and Strategy Development
Quick View
Add to Wishlist

Algorithmic Trading with Python: Quantitative Meth

$26.76
This book, "Algorithmic Trading with Python: Quantitative Methods and Strategy Development," provides a comprehensive introduction to algorithmic trading and quantitative methods for developing trading strategies. Through the use of Python, the book explains the fundamentals of algorithmic trading and introduces key concepts such as data mining, machine learning, and backtesting. It also covers the development of various strategies, such as trend following, mean reversion, and arbitrage. The book is written in a clear and engaging style and is intended for both experienced traders and those just starting out in quantitative trading. It provides detailed theoretical explanations of the concepts, as well as practical examples of how to use them in Python. It also contains numerous illustrations and diagrams to help readers understand the topics better. In addition to introducing algorithmic trading and quantitative strategies, the book also provides an in-depth look at risk management, portfolio optimization, and backtesting. It is an essential guide for anyone looking to gain an in-depth understanding of algorithmic trading and quantitative methods and use them to develop successful trading strategies.
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