The purpose of this article is to explain the code that is used to analyze historical stock data for Amazon Inc. (AMZN) using the Python programming language. Specifically, the code reads stock data from a CSV file, calculates daily returns and a 30-day moving average, visualizes the data using a line plot and a candlestick chart, and calculates summary statistics for the returns. The code begins by importing the pandas library and using it to read the stock data from a CSV file called "AMZN_stock_data.csv". The pandas library is a powerful tool for data manipulation and analysis and is commonly used in data science and financial analysis. The read_csv() function is used to read the stock data from the CSV file. The parse_dates parameter is set to True to ensure that the "Date" column is read in as a datetime object, which is important for plotting the data later on. The index_col parameter is set to 'Date' to use the Date column as the index for the DataFra
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