MP4 | Video: h264, 1280×720 | 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
Working with powerful APIs and Python wrapper packages
Importing free / low-priced Financial Data from the Web with Python
ing Historical Prices for Currencies (FOREX), Cryptocurrencies, Bonds & more
Installing the required Libraries and Packages
ing Historical Prices and Fundamentals for thousands of Stocks, Indexes, Mutual Funds and ETF´s
An internet connection capable of streaming videos.
Some Python Basics
An internet connection capable of streaming videos and ing data
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!
However, 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.
+++ This course shows you how to get massive amounts of Financial Data from the web and provides able Python coding templates (Jupyter Notebooks) for your convenience! +++
This course covers four different data sources and explains in detail how to install required Libraries and how to and import the data with few lines of Python Code. You will have access to
60+ Exchanges all around the world
120,000+ Symbols/Instruments
Historical Price and Volume Data for thousands of Stocks, Indexes, Mutual Funds and ETFs
For Exchange (FOREX): 150+ Physical Currencies / Currency Pairs
500+ Digital- / Cryptocurrencies
Fundamentals, Ratings, Historical Prices and Yields for Corporate Bonds
Commodities (Crude Oil, Gold, Silver, etc.)
Stock Options for 4,500 US Stocks
Fundamentals, Metrics and Ratios for thousands of Stocks, Indexes, Mutual Funds and ETFs
Balance Sheets
Profit and Loss Statements (P&L)
(Finance) Students and Researchers who need to work with large financial datasets with only small budgets.
Everybody working occasionally with Financial Data.
Investment & Finance Professionals (and their Companies) spending thousands of USD p.a. on Financial Data.
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