In 95% of all cases where Finance Professionals or Researchers require Financial Data, it can actually be obtained from Free or low-priced web sources . Some of them provide powerful APIs and Python wrapper packages, which makes it easy and comfortable to import the data with and into Python . Downloading Historical Prices and Fundamentals for thousands of Stocks, Indexes, Mutual Funds and ETFs . Saving / Storing the Data locally is the most critical and most expensive part when working with financial data . Creating advanced Algorithms to analyse and optimize portfolios? Building solutions for Algorithmic Trading and Robo Advising? Maybe! But very often it is … getting the Data!Authentication failed. Unique API key is not valid for this user.
Who this course is for:
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.
File Name :
Importing Finance Data with Python from Free Web Sources free download
