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This project analyzes historical BP stock price data to identify trends and key insights. It includes data cleaning, visualization, and basic statistical analysis to help understand the stock’s behavior over time

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BP Stock Price Analysis

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.


What’s Inside?

  • 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

How to Run

  1. Make sure you have Python 3 installed.

  2. Install required libraries:

    pip install pandas matplotlib seaborn numpy

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This project analyzes historical BP stock price data to identify trends and key insights. It includes data cleaning, visualization, and basic statistical analysis to help understand the stock’s behavior over time

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