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Understanding the Stock Market Dataset

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

DateTrading date
OpenOpening stock price
HighHighest stock price of the day
LowLowest stock price of the day
CloseClosing stock price
LastLast traded price
Total Trade QuantityTotal number of shares traded
TurnoverTotal 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.