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Python Algorithmic Trading Cookbook : All the recipes you need to implement your own algorithmic trading strategies in Python
by Pushpak Dagade
English | 2020 | ISBN: 1838989358 | 528 Pages | Mobi | 94 MB
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 Description 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.
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 Description 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
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.
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