--- license: cc0-1.0 --- # Intel Stock Data (1980-2024) This is a dataset copied from Kaggle. You can see the original dataset here: --- **The following is the original readme of this dataset:** ## About Dataset ### 📊 Intel Stock Dataset (1980-2024) 🌟 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. --- ### 📄 Dataset Overview - 🗓️ Time Period: 1980 to 2024 - 📈 Total Records: 11,289 rows - 📂 File Size: ~989.25 KB This dataset is ideal for financial analysis, stock trend forecasting, machine learning models, and portfolio optimization studies. --- ### 📋 Columns and Descriptions 🏷️ Column | 🔍 Description --- | --- 📅 Date | The trading date in YYYY-MM-DD format. 🔓 Open | The opening price of Intel's stock on the given day. 📈 High | The highest price of the stock during the trading session. 📉 Low | The lowest price of the stock during the trading session. 🔒 Close | The closing price of the stock on the given day. 🔄 Volume | The total number of shares traded on the given day. 💰 Dividends | The dividend payouts, if applicable, on the given day. 📊 Stock Splits | The ratio of stock splits (if applicable) on the given day (e.g., 2-for-1 split = 2.0). --- ### 🌟 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. ### 🚀 Applications - 📈 Trend Analysis: Identify long-term trends and patterns in Intel's stock performance. - 🤖 Machine Learning: Train predictive models for stock price forecasting. - 💼 Portfolio Insights: Analyze Intel's stock as part of an investment portfolio. - 🧮 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. 😄