Book

Hands-On Financial Trading with Python

This book focuses on key Python analytics and algorithmic trading libraries used for backtesting. With the help of practical examples, you will learn the principle aspects of trading strategy development. The 14 profitable strategies included in the book will also help you build intuitions that will enable you to create your own strategy.

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Difficulty Level

Intermediate

Completion Time

12h

Language

English

About Book

Who Is This Book For?

If you’re a financial trader or a data analyst who wants a hands-on introduction to designing algorithmic trading strategies, then this book is for you. You don’t have to be a fully-fledged programmer to dive into this book, but knowing how to use Python’s core libraries and a solid grasp on statistics will help you get the most out of this book.

Book content

chapters 12h total length

Introduction to algorithmic trading

Exploratory Data Analysis in Python

High-speed Scientific Computing using NumPy

Data Manipulation and Analysis with Pandas

Data Visualization using Matplotlib

Statistical Estimation, Inference, and Prediction

Financial Market Data Access in Python

Introduction to Zipline and PyFolio

Fundamental algorithmic trading strategies

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