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For the term "Python for Algorithmic Trading Cookbook".
Python for Algorithmic Trading Cookbook 0

Algorithms & Cryptography / Economics, Finance & Marketing / Programming

Python for Algorithmic Trading Cookbook

eBook Details: Paperback: 412 pages Publisher: WOW! eBook (August 16, 2024) Language: English ISBN-10: 1835084702 ISBN-13: 978-1835084700 eBook Description: Python for Algorithmic Trading Cookbook: Recipes for designing, building, and deploying algorithmic trading strategies with Python. Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environment. Discover how Python has made algorithmic trading accessible to non-professionals with unparalleled expertise and practical insights from Jason Strimpel, founder of PyQuant News and a seasoned professional with global experience in trading and risk management. This Python for Algorithmic Trading Cookbook guides...

Python Algorithmic Trading Cookbook 2

Algorithms & Cryptography / Computer Science & Computer Engineering / Databases & Big Data / Programming

Python Algorithmic Trading Cookbook

eBook Details: Paperback: 542 pages Publisher: WOW! eBook (August 28, 2020) Language: English ISBN-10: 1838989358 ISBN-13: 978-1838989354 eBook Description: Python Algorithmic Trading Cookbook: Build a solid foundation in algorithmic trading by developing, testing and executing powerful trading strategies with real market data using Python Python is a very popular language used to build and execute algorithmic trading strategies. If you want to find out how you can build a solid foundation in algorithmic trading using the language, this cookbook is here to help. Starting by setting up the Python environment for trading and connectivity with brokers, you’ll then learn the important...

Hands-On Financial Trading with Python 2

Algorithms & Cryptography / Computer Science & Computer Engineering / Programming

Hands-On Financial Trading with Python

eBook Details: Paperback: 360 pages Publisher: WOW! eBook (April 29, 2021) Language: English ISBN-10: 1838982884 ISBN-13: 978-1838982881 eBook Description: Hands-On Financial Trading with Python: Discover how to build and backtest algorithmic trading strategies with Zipline Algorithmic trading helps you stay ahead of the markets by devising strategies in quantitative analysis to gain profits and cut losses. The Hands-On Financial Trading with Python book starts by introducing you to algorithmic trading and explaining why Python is the best platform for developing trading strategies. You’ll then cover quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using various...

Python for Algorithmic Trading: From Idea to Cloud Deployment 3

Algorithms & Cryptography / Computer Science & Computer Engineering / Programming

Python for Algorithmic Trading

eBook Details: Paperback: 380 pages Publisher: WOW! eBook (December 8, 2020) Language: English ISBN-10: 149205335X ISBN-13: 978-1492053354 eBook Description: Python for Algorithmic Trading: From Idea to Cloud Deployment Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this Python for Algorithmic Trading practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. Set up a proper Python environment for algorithmic trading...

Automated Machine Learning 3

Cloud Computing / Computer Science & Computer Engineering / Databases & Big Data

Automated Machine Learning

eBook Details: Paperback: 312 pages Publisher: WOW! eBook (March 9, 2021) Language: English ISBN-10: 1800567685 ISBN-13: 978-1800567689 eBook Description: Automated Machine Learning: Follow a hands-on approach to AutoML implementation and associated methodologies and get to grips with automated machine learning Every machine learning engineer deals with systems that have hyperparameters, and the most basic task in automated machine learning (AutoML) is to automatically set these hyperparameters to optimize performance. The latest deep neural networks have a wide range of hyperparameters for their architecture, regularization, and optimization, which can be customized effectively to save time and effort. This book reviews the underlying...