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Python for Financial Analysis and Algorithmic Trading, Learn numpy , pandas , matplotlib , quantopian , finance , and more for algorithmic trading with Python!
- BESTSELLER
- Created by Jose Portilla
- English
- English [Auto-generated], Italian [Auto-generated], 3 more
- 17 hours on-demand video
- 9 articles
- 2 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
What you'll learn
- 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
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