January 2020
Beginner to intermediate
432 pages
11h 24m
English
Content preview from Python for Finance Cookbook
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
What this book covers
Chapter 1, Financial Data and Preprocessing, explores how financial data is different from other types of data commonly used in machine learning tasks. You will be able to use the functions provided to download financial data from a number of sources (such as Yahoo Finance and Quandl) and preprocess it for further analysis. Finally, you will learn how to investigate whether the data follows the stylized facts of asset returns.
Chapter 2, Technical Analysis in Python, demonstrates some fundamental basics of technical analysis as well as how to quickly create elegant dashboards in Python. You will be able to draw some insights into patterns emerging from a selection of the most commonly used metrics (such as MACD and ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.