Dataset: Google Stock Market Data [20 Years]

About this Dataset

Google Stock Market Data [20 Years]

This dataset contains historical stock market data obtained from Yahoo Finance using the yfinance Python library. The dataset spans a specific time period and includes seven key columns: Date, Open, High, Low, close, Adjusted Close, and Volume.

Use case:

This dataset is valuable for a wide range of analyses and applications in finance, economics, and data science. It can be used to:

Perform technical analysis to identify trading patterns and trends.
Develop and backtest trading strategies.
Conduct research on the relationship between trading volume and price movements.
Analyze the impact of macroeconomic events on individual stocks or the overall market.
Train machine learning models for stock price prediction, volatility forecasting, and risk management.

Disclaimer:

This dataset is provided for educational and research purposes only. The accuracy and completeness of the data are not guaranteed.

Thumbnail Photo by Tima Miroshnichenko: https://www.pexels.com/photo/stock-market-illustration-on-the-screen-7567223/

Tables

Df

@kaggle.coderpanda010_google_stock_data_20_years.df

260.58 KB
4936 rows
7 columns


CREATE TABLE df (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);