This project analyzes the historical stock price data of BP (British Petroleum) to uncover trends, patterns, and insights.
The goal is to understand how BP's stock price has changed over time and what factors might influence its behavior.
- Data cleaning and preprocessing of BP stock prices
- Visualization of price trends and volume over time
- Calculation of key statistics like moving averages and returns
- Basic exploratory data analysis (EDA) to identify patterns
- (Optional) Simple forecasting models to predict future prices
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Make sure you have Python 3 installed.
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Install required libraries:
pip install pandas matplotlib seaborn numpy