Python for Financial Analysis and Algorithmic Trading
Learn numpy , pandas , matplotlib , quantopian , finance , and more for algorithmic trading with Python!
What you’ll learn
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Use NumPy to quickly work with Numerical Data
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Use Pandas for Analyze and Visualize Data
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Use Matplotlib to create custom plots
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Learn how to use statsmodels for Time Series Analysis
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Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc..
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Use Exponentially Weighted Moving Averages
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Use ARIMA models on Time Series Data
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Calculate the Sharpe Ratio
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Optimize Portfolio Allocations
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Understand the Capital Asset Pricing Model
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Learn about the Efficient Market Hypothesis
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Conduct algorithmic Trading on Quantopian
Requirements
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Some knowledge of programming (preferably Python)
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Ability to Download Anaconda (Python) to your computer
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Basic Statistics and Linear Algebra will be helpful
Who this course is for:
- Someone familiar with Python who wants to learn about Financial Analysis!
