Baselight

Adidas Stock Data (2006-2024)

Adidas Stock Dataset from (2006-2024)

@kaggle.mhassansaboor_adidas_stock_data_2006_2024

About this Dataset

Adidas Stock Data (2006-2024)

๐Ÿ“ˆ Adidas Stock Data Analysis

Welcome to the Adidas Stock Data Analysis project! This dataset contains comprehensive historical stock data for Adidas (Ticker: ADDYY) from 2006 to 2024, retrieved from Yahoo Finance. With this data, you can explore trends, perform detailed analysis, and make data-driven insights into the stock performance of one of the worldโ€™s leading sportswear brands.


๐Ÿ—‚๏ธ Dataset Overview

  • Source: Yahoo Finance
  • Ticker Symbol: ADDYY (Adidas on the OTC market)
  • Date Range: May 31, 2006 โ€“ December 31, 2024
  • Features Included:
    • ๐Ÿ•’ Date: Trading date
    • ๐Ÿ’ต Open: Opening price of the stock
    • ๐Ÿ“ˆ High: Highest price of the day
    • ๐Ÿ“‰ Low: Lowest price of the day
    • ๐Ÿ”’ Close: Closing price of the stock
    • ๐Ÿ“Š Adj Close: Adjusted closing price (dividend and split-adjusted)
    • ๐Ÿ“ฆ Volume: Number of shares traded

๐Ÿ” Key Use Cases

  1. ๐Ÿ“Š Trend Analysis

    • Examine long-term trends in Adidas stock prices.
    • Visualize price movements with moving averages (50-day, 100-day, 200-day).
  2. ๐Ÿ› ๏ธ Statistical Insights

    • Perform correlation analysis between features.
    • Evaluate volatility and average returns over time.
  3. ๐Ÿ“ก Predictive Modeling

    • Use the data for machine learning models like Linear Regression, Random Forest, or LSTM to predict future stock prices.
  4. ๐Ÿงฎ Trading Strategies

    • Develop backtesting strategies using historical prices and volume data.

๐ŸŒŸ Visualization Ideas

  • ๐Ÿ“ˆ Line charts for price trends over time.
  • ๐Ÿ“Š Bar charts for trading volume comparison across years.
  • ๐Ÿ–ผ๏ธ Candlestick charts for daily price movement analysis.

๐Ÿš€ Get Started Now!

Analyze the stock performance of Adidas with this clean and well-structured dataset. Whether you're a data analyst, machine learning enthusiast, or finance professional, this project is perfect for gaining insights and building predictive models.

Feel free to โญ๏ธ this project if you find it useful and share your findings!

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