Udemy - Importing Finance Data with Python from Free Web Sources by Tyler Aaron

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Udemy - Importing Finance Data with Python from Free Web Sources by Tyler Aaron (Size: 843.5 MB)
  1. The critical role python programming plays into algo trading.mp4 231.2 MB
  1. The critical role python programming plays into algo trading.srt 13.8 KB
  1. Why Import Data Into Python.html 9.3 KB
  2. Benefits and strategies of algorithmic trading in python.mp4 214.5 MB
  2. Benefits and strategies of algorithmic trading in python.srt 13.7 KB
  2. How to Use Python in a Finance Environment.html 10.1 KB
  3. How Python is Used in Finance and Fintech.html 12.7 KB
  3. Ten commandments of crypto security.mp4 181.4 MB
  3. Ten commandments of crypto security.srt 13.1 KB
  4. How Can You Use Python for Finance Explained.html 10.5 KB
  4. video 5.mp4 35.5 MB
  4. video 5.srt 2 KB
  5. How to Plotting Financial Data Chart with Plotly Python.html 5.2 KB
  5. video 6.mp4 180.8 MB
  5. video 6.srt 13.5 KB
  Bonus Resources.txt 307.2 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 17 total files

Description


Importing Finance Data with Python from Free Web Sources by Tyler Aaron
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 10 lectures (1h 2m) | Size: 842.9 MB
Get Historical Prices, Fundamentals, Metrics/Ratios etc. for thousands of Stocks, Bonds, Indexes, (Crypto-) Currencies
What you'll learn:
Working with powerful APIs and Python wrapper packages
Importing free / low-priced Financial Data from the Web with Python
Downloading Historical Prices for Currencies (FOREX), Cryptocurrencies, Bonds & more
Installing the required Libraries and Packages
Downloading Historical Prices and Fundamentals for thousands of Stocks, Indexes, Mutual Funds and ETF´s

Requirements
An internet connection capable of streaming videos.
Some Python Basics
An internet connection capable of streaming videos and downloading data

Description
Pandas coding? Creating some advanced Algorithms to analyse and optimize portfolios? Building solutions for Algorithmic Trading and Robo Advising? Maybe! But very often it is … getting the Data!

Financial Data is scarce and Premium Data Providers typically charge $20,000 p.a. and more!

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