Hands-On Financial Trading with Python [ebook]
Hands-On Financial Trading with Python
Language - English
Updated on Mar, 2025
About the Book
Book description
Build and backtest your algorithmic trading strategies to gain a true advantage in the market
Key Features
- Get quality insights from market data, stock analysis, and create your own data visualisations
- Learn how to navigate the different features in Python’s data analysis libraries
- Start systematically approaching quantitative research and strategy generation/backtesting in algorithmic trading
Book Description
Creating an effective system to automate your trading can help you achieve two of every trader’s key goals; saving time and making money. But to devise a system that will work for you, you need guidance to show you the ropes around building a system and monitoring its performance. This is where Hands-on Financial Trading with Python can give you the advantage.
This practical Python book will introduce you to Python and tell you exactly why it’s 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 market data sources.
Using Zipline as the backtesting library allows access to complimentary US historical daily market data until 2018. As you advance, you will gain an in-depth understanding of Python libraries such as NumPy and pandas for analyzing financial datasets, and explore Matplotlib, statsmodels, and scikit-learn libraries for advanced analytics.
As you progress, you’ll pick up lots of skills like time series forecasting, covering pmdarima and Facebook Prophet.
By the end of this trading book, you will be able to build predictive trading signals, adopt basic and advanced algorithmic trading strategies, and perform portfolio optimization to help you get —and stay—ahead of the markets.
What you will learn
- Discover how quantitative analysis works by covering financial statistics and ARIMA
- Use core Python libraries to perform quantitative research and strategy development using real datasets
- Understand how to access financial and economic data in Python
- Implement effective data visualization with Matplotlib
- Apply scientific computing and data visualization with popular Python libraries
- Build and deploy backtesting algorithmic trading strategies
Who this book is for
If you’re a financial trader or a data analyst who wants a hands-on introduction to designing algorithmic trading strategies, then this book is for you. You don’t have to be a fully-fledged programmer to dive into this book, but knowing how to use Python’s core libraries and a solid grasp on statistics will help you get the most out of this book.
![Hands-On Financial Trading with Python [ebook] Hands-On Financial Trading with Python [ebook]](https://d3mxt5v3yxgcsr.cloudfront.net/courses/12985/course_12985_image.jpg)
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Author Details

<a href="https://market.tutorialspoint.com/author/sourav_ghosh">Sourav Ghosh</a>
Packt are an established, trusted, and innovative global technical learning publisher, founded in Birmingham, UK with over eighteen years experience delivering rich premium content from ground-breaking authors and lecturers on a wide range of emerging and established technologies for professional development.
Packt’s purpose is to help technology professionals advance their knowledge and support the growth of new technologies by publishing vital user focused knowledge-based content faster than any other tech publisher, with a growing library of over 9,000 titles, in book, e-book, audio and video learning formats, our multimedia content is valued as a vital learning tool and offers exceptional support for the development of technology knowledge.
We publish on topics that are at the very cutting edge of technology, helping IT professionals learn about the newest tools and frameworks in a way that suits them.
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