Hands-On Financial Trading with Python
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Hands-On Financial Trading with Python
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Overview of this book
Creating an effective system to automate your trading can help you achieve two of every trader’s key goals; saving time and making money. But to devise a system that will work for you, you need guidance to show you the ropes around building a system and monitoring its performance. This is where Hands-on Financial Trading with Python can give you the advantage.
This practical Python book will introduce you to Python and tell you exactly why it’s the best platform for developing trading strategies. You’ll then cover quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using various market data sources.
Using Zipline as the backtesting library allows access to complimentary US historical daily market data until 2018. As you advance, you will gain an in-depth understanding of Python libraries such as NumPy and pandas for analyzing financial datasets, and explore Matplotlib, statsmodels, and scikit-learn libraries for advanced analytics.
As you progress, you’ll pick up lots of skills like time series forecasting, covering pmdarima and Facebook Prophet.
By the end of this trading book, you will be able to build predictive trading signals, adopt basic and advanced algorithmic trading strategies, and perform portfolio optimization to help you get —and stay—ahead of the markets.
Table of Contents (15 chapters)
Preface
Section 1: Introduction to Algorithmic Trading
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Chapter 1: Introduction to Algorithmic Trading
Section 2: In-Depth Look at Python Libraries for the Analysis of Financial Datasets
Chapter 2: Exploratory Data Analysis in Python
Chapter 3: High-Speed Scientific Computing Using NumPy
Chapter 4: Data Manipulation and Analysis with pandas
Chapter 5: Data Visualization Using Matplotlib
Chapter 6: Statistical Estimation, Inference, and Prediction
Section 3: Algorithmic Trading in Python
Chapter 7: Financial Market Data Access in Python
Chapter 8: Introduction to Zipline and PyFolio
Chapter 9: Fundamental Algorithmic Trading Strategies
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Appendix A: How to Setup a Python Environment
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