Python Algorithmic Trading Cookbook

Python Algorithmic Trading Cookbook

All the recipes you need to implement your own algorithmic trading strategies in Python

person icon Pushpak Dagade

ebook icon Packt Publishing

language icon Language - English

updated on icon Updated on Oct, 2020

architecture icon Development,Programming Languages,Python


This eBook includes

Formats : PDF, EPUB, MOBI (Downlodable)

Pages : 542

ISBN : 9781838982515

Language : English

About the Book

Book description

Build a solid foundation in algorithmic trading by developing, testing and executing powerful trading strategies with real market data using Python

Key Features

  • Build a strong foundation in algorithmic trading by becoming well-versed with the basics of financial markets
  • Demystify jargon related to understanding and placing multiple types of trading orders
  • Devise trading strategies and increase your odds of making a profit in stock markets without human intervention

Book Description

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 aspects of financial markets. As you progress through this algorithmic trading book, you’ll learn to fetch financial instruments, query and calculate various types of candles and historical data, and finally, compute and plot technical indicators. Next, you’ll discover how to place various types of orders, such as regular, bracket, and cover orders, and understand their state transitions. You’ll also uncover challenges faced while devising and executing powerful algorithmic trading strategies from scratch. Later chapters will take you through backtesting, paper trading, and finally real trading for the algorithmic strategies that you've created from the ground up. You’ll even understand how to automate trading and find the right strategy for making effective decisions that would otherwise be impossible for human traders.

By the end of this book, you’ll be able to use Python for algorithmic trading by implementing Python libraries to conduct key tasks in the algorithmic trading ecosystem.

What you will learn

  • Use Python to set up connectivity with brokers
  • Handle and manipulate time series data using Python
  • Fetch a list of exchanges, segments, financial instruments, and historical data to interact with the real market
  • Understand, fetch, and calculate various types of candles and use them to compute and plot diverse types of technical indicators
  • Develop and improve the performance of algorithmic trading strategies
  • Perform backtesting and paper trading on algorithmic trading strategies
  • Implement real trading in the live hours of stock markets

Who this book is for

If you are a financial analyst, financial trader, data analyst, algorithmic trader, trading enthusiast or anyone who wants to learn algorithmic trading with Python and important techniques to address challenges faced in the finance domain, this book is for you. Basic working knowledge of the Python programming language is expected. Although fundamental knowledge of trade-related terminologies will be helpful, it is not mandatory.

Python Algorithmic Trading Cookbook

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Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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