Intel Stock Data (1980-2024)
@kaggle.mhassansaboor_intel_stock_data_1980_2024
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This dataset contains Intel Stocks from 1980 to 2024
Dataset Description
š Intel Stock Dataset (1980-2024)
š This dataset contains daily stock trading data for Intel Corporation (ticker: INTC) from 1980 to 2024, sourced from Yahoo Finance. It provides a comprehensive view of Intel's stock performance over four decades, including key metrics like opening/closing prices, trading volume, dividends, and stock splits.
š Dataset Overview
- šļø Time Period: 1980 to 2024
- š Total Records: 11,289 rows
- š File Size: ~989.25 KB
This dataset is ideal for financial analysis, stock trend forecasting, machine learning models, and portfolio optimization studies.
š Columns and Descriptions
| š·ļø Column | š Description |
|---|---|
š
Date |
The trading date in YYYY-MM-DD format. |
š Open |
The opening price of Intel's stock on the given day. |
š High |
The highest price of the stock during the trading session. |
š Low |
The lowest price of the stock during the trading session. |
š Close |
The closing price of the stock on the given day. |
š Volume |
The total number of shares traded on the given day. |
š° Dividends |
The dividend payouts, if applicable, on the given day. |
š Stock Splits |
The ratio of stock splits (if applicable) on the given day (e.g., 2-for-1 split = 2.0). |
š Key Features
- Clean and Complete: No missing values across all columns.
- Rich Historical Data: Captures Intel's stock trends and major events over the years.
- Ready for Analysis: Ideal for time-series analysis, regression models, and financial forecasting.
š Applications
- š Trend Analysis: Identify long-term trends and patterns in Intel's stock performance.
- š¤ Machine Learning: Train predictive models for stock price forecasting.
- š¼ Portfolio Insights: Analyze Intel's stock as part of an investment portfolio.
- š§® Statistical Research: Study correlations between market events and stock performance.
Feel free to dive into the dataset and unlock its potential! Let me know if you need help with analysis or visualization. š
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