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About the Book
Have you ever wondered how to build a cryptocurrency trading bot? Have you wondered how you can apply machine learning to the financial markets? Have you wondered how you can get out of Excel and into the world of big data? You have come to the right place! Welcome to Real-Time Crypto. In this book, we will build on your basic Python and data skills and turn you into a bona fide big data engineer. Along the way, you will learn how to trade cryptocurrency in real-time, using cutting edge big data technology and machine learning.
Who This Book Is For
If you’re interested in the intersection of cryptocurrency and automation this book is for you. If you want to learn about cutting edge big data architectures this book is for you. If you’d like to learn about machine learning and time series forecasting, well, guess what? This book is for you! Ideally, you have a basic understanding of the Python programming language so that you can follow along and build your own trading bot using the book’s code examples. If you don’t know how to write code this book offers a great overview of cryptocurrency, blockchain, big data technologies, and how they all fit together.
What You’ll Learn
- Learn to build a real-time cryptocurrency trading bot
- Use machine learning algorithms on Bitcoin data to predict future prices
- A practical understanding of Apache Spark, Kafka, and Elasticsearch
- Comprehensive code examples showing you how to build a cryptocurrency machine learning pipeline from soup to nuts
- Everything you need to quickly and easily visualize your bot’s performance using Elasticsearch and Kibana
About the Author
Brandon Rose is passionate about sharing his knowledge of big data, machine learning and cryptocurrency. Brandon is a technologist with experience deploying big data applications in both the public and private sectors.
He has used Python to wrangle massive datasets and to build data pipelines with tools like Spark, Kafka, and Elasticsearch. Brandon is passionate about using Python for natural language processing and finding meaning in huge quantities of unstructured data. He is also interested in cryptocurrencies and has used Python to analyze the entire Bitcoin blockchain, revealing inefficient practices among the major players in the space.
He currently spends his time on a big data startup which is using geospatial data to build a product in the cybersecurity and physical security space.