November 2019
Beginner
394 pages
10h 31m
English
Overview
"Learn Algorithmic Trading" provides a comprehensive walkthrough of how to build and deploy algorithmic trading systems using Python. You'll master crafting strategies, analyzing data, and automating trades in live markets. Whether you're starting from scratch or advancing your existing skills, this book will help you launch efficient, automated trading systems.
What this Book will help me do
- Understand the components and functions of algorithmic trading systems and how they integrate with markets.
- Develop machine learning-based trading strategies and implement them in Python effectively.
- Create trading strategies such as statistical arbitrage or trend-following and evaluate their performance.
- Build robust risk management systems to mitigate potential trading risks in volatile markets.
- Implement and deploy automated trading bots for real-world usage and continuous improvements.
Author(s)
Sebastien Donadio and Sourav Ghosh bring expertise from their respective fields of finance and technology. Sebastien is an experienced quantitative trader and educator, deeply versed in algorithmic finance systems. Sourav, a software engineer, applies advanced techniques to trading systems. Together, they combine practical experience and insightful teaching in this engaging guide to algorithmic trading.
Who is it for?
This book is perfect for aspiring algorithmic traders, financial analysts seeking to automate trading strategies, and software engineers eager to enter the finance domain. It caters to those with basic Python knowledge and an interest in finance, offering practical insights into building and deploying trading systems. Whether you're starting or leveling up, this book provides valuable guidance.
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