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Key benefits

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 without human intervention

Description

If you want to find out how you can build a solid foundation in algorithmic trading using Python, 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, 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 learn how to place various types of orders, such as regular, bracket, and cover orders, and understand their state transitions. Later chapters will cover backtesting, paper trading, and finally real trading for the algorithmic strategies that you've created. 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 libraries to conduct key tasks in the algorithmic trading ecosystem. Note: For demonstration, we're using Zerodha, an Indian Stock Market broker. If you're not an Indian resident, you won't be able to use Zerodha and therefore will not be able to test the examples directly. However, you can take inspiration from the book and apply the concepts across your preferred stock market broker of choice.

Who is this book 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.

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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

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Machine Learning for Algorithmic Trading

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Total Can$ 197.97

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Anil Kumar Das Dec 10, 2022

Book delivered on time .Highly recommend this book to anyone start in the python language for trading .

Amazon Verified review

Ajit Nair Oct 05, 2022

Nothing to dislike !! Highly recommend d for domain specific programming and conceptual exposition to the topic !!!

jml Sep 09, 2020

Overview:Python Algorithmic Trading Cookbook starts with a gentle introduction to the power of Pandas and moves logically through the process of handling online trades. The book then demonstrates the procedural flow of automated trading, very useful if you’re new to the process. “Recipes” provide deep detail about the steps and terms involved, and subsequent chapters expand on familiarizing the reader with both the Python and investing terms and concepts. A light but readable treatment of the math behind indicators like trend, volatility, and volume analysis is also included with the sections demonstrating each of these tools. Order placement and handling are covered along with recipes for technical trades such as bracketing and stop-loss and lessons on pre-testing and performing actual trades. Appendices describe account setup for the services mentioned in the text as well as some useful strategy hints and reminders.Hits:You don’t need to have a lot of prior knowledge about financial markets to get the concepts and framework presented here. The math’s presented in easily-handled chunks and the author provides references for those who want to dive in deeper. If you’re not familiar with concepts like backtesting and paper trading, they’re made clear using short, comprehensible explanations.Misses:It looks like some chapters rely on specific GUI or at least graphics packages being installed, and it would be nice if more details were available regarding those requirements. I’d also like to see some information regarding trade and account security as those topics are integral to today's trading environments.Conclusion:A solid buy if you want to get into online stock markets and need to understand algorithmic trading. It’s not a trading textbook but if you have even a minimal understanding of how trading works, you’ll get up and running fast by following the recipes and explanations in this book.

Karl Bateman Nov 24, 2020

Great book! I'm fairly new to python, and I am able to follow the book with ease.

Raj Dec 13, 2020

I have experience with Python and Data Analysis, but no experience with algorithmic trading. I would say anyone with little programming knowledge of Python can enjoy this book as it provides coding examples for all the concepts it explores.The author has dedicated a section to explain trading strategies which I cant wait to try out in real world with my brokerage account.With over 500 pages of content and detailed codebase on GitHub, this would be a fantastic read if you are an analyst or algorithmic trading enthusiast with an understanding of financial markets and an interest in trading strategies. You should also find value as an investment professional who aims to leverage Python to make better decisions.

Python Algorithmic Trading Cookbook: All the recipes you need to implement your own algorithmic trading strategies in Python

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