April 2021
Intermediate to advanced
360 pages
6h 24m
English
Overview
Dive into the world of algorithmic trading with "Hands-On Financial Trading with Python." This book is your practical guide to leveraging the power of Python and its ecosystem of libraries for building, implementing, backtesting, and refining financial trading strategies. With step-by-step explanations and real-world examples, you'll be able to automate and optimize your trading processes effectively.
What this Book will help me do
- Learn to use Python's analytical libraries like pandas and NumPy for processing financial datasets.
- Understand the process of creating and backtesting trading strategies using Zipline and PyFolio.
- Develop predictive trading signals using statistical methods and machine learning models.
- Master data visualization with Matplotlib to glean insights from financial data effectively.
- Apply portfolio optimization techniques to achieve improved trading performance.
Author(s)
None Pik and Sourav Ghosh are seasoned experts in financial technology and algorithmic trading. With years of practical experience in applying Python to financial analysis and strategy development, they bring a wealth of knowledge to this book. Their approachable teaching style, combined with a passion for empowering readers, ensures a comprehensive and engaging learning experience.
Who is it for?
Ideal for financial traders, data analysts, and quantitative researchers looking to adopt Python for algorithmic trading. This book serves professionals seeking to automate trading strategies as well as individuals passionate about financial analytics. Beginners with some Python knowledge and a foundation in statistics will also greatly benefit. It's tailored for those aiming to gain an edge in the competitive trading sector.
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