📊 Apple Stock Analysis

This project analyzes Apple’s historical data using Python (Pandas, Matplotlib) in Google Colab.
It explores price trends, daily changes, and moving averages over time to uncover insights about Apple’s stock performance.

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🧠 Key Features

• Data loading and cleaning with Pandas
• Daily percentage change calculations
• 7-day and 30-day moving averages
• Interactive line charts with Matplotlib
• Summary insights (average, highest, and lowest closing prices)
• Export of processed data to CSV format

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📅 Tools & Environment

• Google Colab (mobile-friendly)
• Python 3.x
• Libraries: pandas, matplotlib

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🚀 How to Use

1. Open the notebook in Google Colab.
2. Upload your apple_data.csv file.
3. Run the cells one by one (optimized for phone use).
4. View charts, insights, and export the analysis as apple_analysis_output.csv.

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📂 Output

• apple_analysis_output.csv → contains the cleaned and analyzed stock data.
• Visualizations → closing price chart and moving averages.

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🧾 Author

Your Sincerely, TOghen
Project submitted for Data Analysis Practice