Investment Portfolio Management : Python for Finance 7
In this video I'll show you how to create stock portfolios that Maximize Return while Minimizing Risk! I'll do that using a combination of the Markowitz Portfolio Optimization technique with the Sharpe Ratio. This one video will take you Investment Portfolio Management knowledge to a High Level!
I will be using Python and Multiple Data Science libraries in this tutorial. We will be covering the following :
✳️ Markowitz Portfolio Optimization
✳️ Efficient Frontier
✳️ Volatility
✳️ Creating 10,000 Random Portfolios
✳️ Sharpe Ratio
✳️ Analyzing Numerous DataFrames
✳️ Covariance
✳️ Correlation
✳️ So much more
Files Are Here : https://github.com/derekbanas/Python4Finance
Stock Data is Here : https://1drv.ms/u/s!AjbW63mlCQM75ljTNHq_LsD1fpkY?e=flBn5u
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THIS IS NOT INVESTMENT ADVICE
I'm not implying that investing this way will guarantee anything. All investing is risky and you should always take advice from someone who can assess your specific situation. THIS IS FOR EDUCATIONAL PURPOSES ONLY!
MORE DATA SCIENCE VIDEOS
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Probability in One Video : https://youtu.be/sEte4hXEgJ8
Statistics in One Video : https://youtu.be/tcusIOfI_GM
Algebra : https://youtu.be/B_WCI_A944E
Linear Algebra : https://youtu.be/6GnzRGJsI3Q
#PythonForFinance #DataScience #Python
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