Python for Financial Analysis and Algorithmic Trading

Description

In this course, you will :

• Use NumPy to quickly work with Numerical Data.
• Use Pandas for Analyze and Visualize Data.
• Use Matplotlib to create custom plots.
• Learn how to use statsmodels for Time Series Analysis.
• Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc...
• Use Exponentially Weighted Moving Averages.
• Use ARIMA models on Time Series Data.
• Calculate the Sharpe Ratio.
• Optimize Portfolio Allocations.
• Understand the Capital Asset Pricing Model.
• Learn about the Efficient Market Hypothesis.
• Conduct algorithmic Trading on Quantopian.