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Classroom Contents
Calculate Volatility and Moving Average - Financial Data Analysis & Python
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- 1 Introduction
- 2 Overview of Jupyter Notebook
- 3 Import pandas and matplotlib
- 4 Read CSV time series financial data into DataFrame
- 5 Calculate Percentage Change of DataFrame
- 6 Calculate the Log Returns with Pandas DataFrames
- 7 Calculate the Standard Deviation of Log Returns with Pandas DataFrames
- 8 Calculate the Volatility
- 9 Visualize the Volatility with Matplotlib
- 10 Calculate the Simple Moving Average MA with Pandas DataFrames
- 11 Calculate the Exponential Moving Average EMA with Pandas DataFrames
- 12 Visualize the MA and EMA with Matplotlib
