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
Content Source:udemy
Genre / Category:Office Productivity
File Size :4.22 gb
Publisher :Alexander Hagmann
Updated and Published:05 May,2022

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File name: Importing-Finance-Data-with-Python-from-Free-Web-Sources.rar
File Size:4.22 gb
Course duration:8 hours
Instructor Name:Alexander Hagmann
Language:English
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