Importing Finance Data with Python from Free Web Sources

Get Historical Prices, Fundamentals, Metrics/Ratios etc. for thousands of Stocks, Bonds, Indexes, (Crypto-) Currencies

Created by: Alexander Hagmann
Data Scientist | Finance Professional | Entrepreneur

What Will I Learn?

• Importing free / low-priced Financial Data from the Web with Python
• Installing the required Libraries and Packages
• Working with powerful APIs and Python wrapper packages
• Downloading Historical Prices and Fundamentals for thousands of Stocks, Indexes, Mutual Funds and ETF´s
• Downloading Historical Prices for Currencies (FOREX), Cryptocurrencies, Bonds & more
• Saving / Storing the Data locally
• Pandas Coding Crash Course

Requirements

• Some Python Basics
• A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
• An internet connection capable of streaming videos and downloading data
• Ideally first experience with Pandas Library (not necessary, a Pandas crash course is included in the course)

Target audience

• Investment & Finance Professionals (and their Companies) spending thousands of USD p.a. on Financial Data.
• (Finance) Students and Researchers who need to work with large financial datasets with only small budgets.
• Everybody working occasionally with Financial Data.