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GOOGL Stock Price Time Series Analysis Dataset

Stock & Market Data

Tags and Keywords

Google

Stock

Finance

Investing

Timeseries

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GOOGL Stock Price Time Series Analysis Dataset Dataset on Opendatabay data marketplace

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Free

About

Historical price information for Google's stock (GOOGL), covering the period from March 2013 to the present. Google is a leading global technology company, founded in 1998, known for its search engine and online advertising. This dataset offers valuable insights for investors and analysts interested in tracking the financial performance of a major player in the technology industry, which has expanded into mobile devices, software, and cloud computing. The data allows for the identification of patterns and trends over time.

Columns

  • date: The date the stock price was recorded.
  • price: The opening price of the stock on the given date.
  • high: The highest price the stock reached during the trading day.
  • low: The lowest price the stock reached during the trading day.
  • close: The closing price of the stock on the given date.
  • volume: The total number of shares traded on the given date.
  • adj close: The adjusted closing price of the stock, accounting for any corporate actions.

Distribution

The dataset is provided in a CSV format (google-stock-dataset-Daily.csv) with a file size of approximately 137.2 kB. It contains 2510 rows and 8 columns.

Usage

This dataset is ideal for advanced data analysis and financial modelling. It can be used to perform regression analysis, time series analysis, and develop predictive models for stock performance. It is also suitable for creating informative visualisations like line graphs and candlestick charts to better understand trends and patterns in Google's stock history.

Coverage

The dataset provides daily stock price information for Google (GOOGL). The time range covered is from 15 April 2013 to 31 March 2023.

License

CC0: Public Domain

Who Can Use It

  • Investors: Can analyse historical data to make informed long-term investment decisions regarding Google's stock.
  • Financial Analysts: Can identify market trends, evaluate the impact of external factors, and conduct detailed performance analysis.
  • Data Scientists: Can apply machine learning models for predictive modelling and time series forecasting.
  • Academics and Students: Can use the data for research projects in finance, economics, and data analysis.

Dataset Name Suggestions

  • Google (GOOGL) Daily Stock Prices 2013-2023
  • Historical Google Stock Performance Data
  • Decade of Google Stock Market Data
  • GOOGL Stock Price Time Series Analysis Dataset

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

17/09/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in ZIP Format