Understanding the Stock Market Dataset
This project uses historical stock market data containing daily trading information for a company’s shares.
Each row represents the trading activity for a single day and includes multiple financial indicators that describe the stock’s performance.
Typical columns include:
Feature | Description |
| Date | Trading date |
| Open | Opening stock price |
| High | Highest stock price of the day |
| Low | Lowest stock price of the day |
| Close | Closing stock price |
| Last | Last traded price |
| Total Trade Quantity | Total number of shares traded |
| Turnover | Total trading value |
The Close column serves as the primary target variable because it represents the stock’s final trading price for the day.
By analyzing relationships among these variables, machine learning models can learn market behavior and estimate future stock prices.
Stock Price Prediction for Beginners using Data Science
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