Yahoo Finance Analysis with Python: using Python and its powerful libraries like pandas, seaborn, statsmodels such as OLS Regression(Machine Learning Techniques), and matplotlib! these tools to import and analyze stock data from Yahoo Finance over the last 5 years.
A brief overview of how to analyze stock data from Yahoo Finance using Python and its powerful libraries.
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Install the necessary libraries such as #pandas#, #seaborn#, #statsmodels#, and #matplotlib#. These libraries provide a range of tools for data analysis, data visualization, and statistical modeling.
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Need to import the libraries and load the stock data from Yahoo Finance. You can use the pandas_datareader library to retrieve stock data directly from Yahoo Finance. The following code snippet shows how to retrieve the stock data for Apple (AAPL) over the last 5 years.
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use matplotlib to create visualizations of the data, such as line charts or scatter plots, to better understand the trends and patterns in the stock prices over time
- Finding the possible futuristic movement of the stock
- Distplot of 50DMA
- The close price
- Use statsmodels to perform OLS regression analysis on the data, identifying potential factors that may be driving the stock's performance and making predictions for future performance.
Closing Price vs 50DMA vs 200DMA
By the end of this project, have a solid understanding of how to import, manipulate, and analyze stock data using Python and its libraries.
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