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Google (Alphabet Inc.) Historical Stock Data

Stock & Market Data

Tags and Keywords

Google

Stock

Alphabet

Finance

Investing

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Google (Alphabet Inc.) Historical Stock Data Dataset on Opendatabay data marketplace

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About

This dataset provides historical stock performance data for Alphabet Inc. (GOOG), the parent company of Google LLC. Google is a leading American multinational technology company known for its online advertising, search engine, cloud computing, software, and hardware products. Established on September 4, 1998, by Larry Page and Sergey Brin, Google went public in 2004 and was later reorganised as a wholly-owned subsidiary of Alphabet Inc. in 2015. This data offers insight into Alphabet's daily stock movements over a significant period, making it a valuable resource for understanding market trends and financial analysis of one of the world's most influential technology giants.

Columns

The dataset contains 7 columns, detailing key daily stock metrics:
  • Date: The specific date for which the stock data is recorded.
  • Open: The opening price of the stock on the given date.
  • High: The highest price reached by the stock during the trading day.
  • Low: The lowest price of the stock during the trading day.
  • Close: The closing price of the stock on the given date.
  • Adj Close: The adjusted closing price, which accounts for factors like dividends and stock splits.
  • Volume: The total number of shares traded on the given date.

Distribution

The dataset is provided in a CSV format, specifically as GoogleStock Price.csv, with a file size of 293.61 kB. It is structured with 7 columns and comprises 2645 valid daily records. The data is available at a daily level, with all financial values denominated in USD. Specific numbers for rows/records are available and consistent across columns.

Usage

This dataset is ideal for various applications and use cases, including:
  • Business Analysis: Monitoring Google's (Alphabet Inc.) financial health and market position.
  • Investing Strategies: Developing and testing investment models, performing backtesting, and making informed trading decisions.
  • Financial Research: Studying market volatility, stock correlation, and the impact of economic events on tech stocks.
  • Predictive Modelling: Building machine learning models for stock price forecasting using techniques such as Deep Learning, Time Series Analysis, and LSTM (Long Short-Term Memory) networks.
  • Educational Projects: Analysing real-world stock market data for academic purposes.

Coverage

The dataset covers a time range from 2013-01-01 to 2024-01-10, with daily data points from 2013-01-02 to 2023-07-06 for the stock performance of Alphabet Inc. (GOOG). The geographic scope pertains to the US stock market, representing a major American multinational technology company. There are no specific notes on data availability for certain groups or years; the data appears consistent throughout the stated period.

License

CC0: Public Domain

Who Can Use It

This dataset is suitable for a wide array of users, including:
  • Individual Investors: For personal portfolio management and market insights.
  • Financial Analysts: For creating reports, market predictions, and investment advice.
  • Data Scientists & Machine Learning Engineers: For training and evaluating stock prediction algorithms.
  • Academics & Students: For research projects, dissertations, and learning about financial markets and data analysis.
  • Economic Researchers: For studying the performance of leading technology companies within the broader economy.

Dataset Name Suggestions

  • Alphabet Inc. Daily Stock Prices 2013-2024
  • Google (Alphabet Inc.) Historical Stock Data
  • GOOG Stock Market Performance
  • Tech Stock History: Alphabet Inc.
  • Daily Google Stock Trends

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

26/08/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in ZIP Format