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Foundations of Financial Analysis - Python Tools for Investors
Introduction to Algorithmic Trading
01 Introduction to Algorithmic Trading
Compute returns from prices
01 Calculate Stock Returns with Python (4:34)
02 Use Pandas DataFrame for Multiple Stocks (3:58)
03 Read Data from a CSV File in Python (3:04)
04 Compound and Annualize Returns in Python (4:28)
Source Files
Analyze Volatility and Returns of Stock Portfolios
01b Clean and visualize data with Python (4:40)
02b Calculate volatility with Python (3:49)
03b Annualize volatility and returns in Python (5:04)
04b Calculate Sharpe Ratio for risk-adjusted return in Python (2:56)
Source files
Python for Investors - Optimizing Stock Portfolios with Efficient Frontier Analysis
01 Load Industry Portfolio Monthly Returns mock data in Python (2:57)
02 Calculate Annualized Returns and Covariance (3:32)
03 Define weights (2:55)
04 Calculate portfolio returns (3:26)
05 Calculate portfolio volatility (2:59)
06 Visualize Efficient Frontier (3:43)
07 Plot the Capital Market Line in Python (4:45)
08 Visualize tangency portfolio in Python (7:30)
Source Files
04b Calculate Sharpe Ratio for risk-adjusted return in Python
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