GitHub / sciustea / Find-2-Most-Correlated-Stocks_Numpy_Python
Using Numpy in Python, find the 2 most correlated stocks out of 6 different ones ['IBM', 'MSFT', 'GOOG', 'AAPL', 'AMZN', 'FB'] .
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PURL: pkg:github/sciustea/Find-2-Most-Correlated-Stocks_Numpy_Python
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 208 KB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: almost 2 years ago
Topics: correlation, correlation-coefficient, data-science, excel, jupyter-notebook, numpy, python, sample-correlation, stocks