Python can be used to build and execute algorithmic trading strategies. This book could help you increase your chances of making profits in the stock market. It can help you automate trading to find the right strategy for making effective decisions that would otherwise be impossible for human traders.

After setting up the Python environment for trading, you'll learn the important aspects of financial markets. As you progress through the book, you'll understand how to fetch financial instruments, and query candle and historical data. The book also demonstrates how to compute and plot technical indicators, and create algorithmic trading strategies. Next, you'll uncover challenges faced while devising powerful algorithmic trading strategies, before focusing on how to optimize and make changes to your existing strategies based on changing customer needs. Later, you'll learn how to use various ARIMA models based on different challenging scenarios. The concluding chapters will take you through performing backtesting on your trading strategy, performing paper trade, and finally executing a real trade using the algorithmic strategies that you've created from scratch.

By the end of this book, you'll have learned how to implement various Python libraries to conduct key tasks in the algorithmic finance ecosystem using a recipe-based approach.

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