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Hands-On Financial Trading with Python
Hands-On Financial Trading with Python

Hands-On Financial Trading with Python: A practical guide to using Zipline and other Python libraries for backtesting trading strategies

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Key benefits

  • 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

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.

Who is this book 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.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 29, 2021
Length: 360 pages
Edition : 1st
Language : English
ISBN-13 : 9781838988807
Category :
Languages :
Concepts :
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What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
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Product Details

Publication date : Apr 29, 2021
Length: 360 pages
Edition : 1st
Language : English
ISBN-13 : 9781838988807
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Total $ 164.97
Hands-On Financial Trading with Python
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Total $ 164.97 Stars icon
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Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4
(14 Ratings)
5 star 64.3%
4 star 14.3%
3 star 14.3%
2 star 7.1%
1 star 0%
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Kevin J. Davey May 08, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book does a fine job at giving detailed, practical advice for how to use Python and available libraries to test and algo trade. Consider it a welcome timesaver, that allows the user to concentrate on actually building strategies. I believe many will find it useful.
Amazon Verified review Amazon
Dan Ormsby Aug 18, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
If you need to understand python and trading. This is the book for you! Clearly written with good example code.
Amazon Verified review Amazon
Tal Jun 16, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The coverage of this book is great, from algorithmic trading, to presentation of data (charting) including discussion on digesting and manipulating the data for trading.The book uses a hands on approach and the latest Python packages. Highly recommended to anyone in the financial trading field.
Amazon Verified review Amazon
Mor Haziza May 21, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Practical guide to algorithmic trading strategies, backtesting and analysis. The book takes you from python basics into advanced statistics and modeling, without going into underlying theory complexities; the focus is on how to practically use these tools in the context of analyzing trading strategies.Chapters build on top of one another in a logical way allowing the reader to gradually acquire knowledge, step by step. The accompanying code files are useful - user friendly, well written and consistent with book content.Interesting read for anyone interested in finance, programming and how they interact. Useful especially for those curious about algorithmic trading or even professional traders interested in expending/upgrading their toolkit.
Amazon Verified review Amazon
Sam C Jun 22, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is highly practical, gets you started without bogging down too much into theory. Includes a GitHub repo in case of any updates.I especially enjoyed the section about high speed operations using Numpy.
Amazon Verified review Amazon
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