About Dataset:

This dataset includes the daily historical stock prices for Google (GOOGL) spanning from 2020 to 2025. It features essential financial metrics such as opening and closing prices, daily highs and lows, adjusted close prices, and trading volumes. The information offers valuable insights into the stock's performance over a five-year timeframe.

Column Descriptions:

• Price: Date of the stock data (needs cleaning as the first two rows are headers).
• Adj Close: Adjusted closing price, accounting for events like dividends and splits.
• Close: Closing price of the stock at the end of the trading day.
• High: Highest price of the stock during the trading day.
• Low: Lowest price of the stock during the trading day.
• Open: Opening price of the stock at the start of the trading day.
• Volume: Number of shares traded during the day.

What Can You Achieve and Apply on This Data:

• Time Series Analysis: Examine trends and patterns over time.
• Stock Price Prediction: Use machine learning models to forecast future prices.
• Volatility Analysis: Measure the stock's price fluctuations.
• Technical Analysis: Calculate indicators like moving averages, RSI, and MACD.
• Correlation Analysis: Investigate the relationship between volume and price changes.
• Investment Strategy Backtesting: Test trading strategies like moving average crossovers.

Note: 1. This data is scraped from Yahoo Finance by me using python code. 2. Some of the About Data is generated from AI, but verified from me.

Dataset

This dataset was created by medha rawat

Released under CC0: Public Domain

Contents

About the Google Stock Price Dataset

The Google Stock Price Dataset consists of two CSV (Comma Separated Values) files containing historical stock price data for training and evaluation. Each row in the dataset represents a trading day, and the columns provide various information related to Google's stock for that day.

Columns:

Date: The date of the trading day in the format "YYYY-MM-DD."

Open: The opening price of Google's stock on that trading day.

High: The highest price reached during the trading day.

Low: The lowest price reached during the trading day.

Close: The closing price of Google's stock on that trading day.

Adj Close: The adjusted closing price, accounting for any corporate actions (e.g., stock splits, dividends) that may affect the stock's value.

Volume: The trading volume, representing the number of shares traded on that trading day.

Time Period: The train dataset spans from January 1, 2010, to December 31, 2022, providing twelve years of daily stock price information for model training. The test dataset spans from January 1, 2023, to July 30, 2023, providing seven month of daily stock price data for model evaluation.

Data Source:

The dataset was collected from Yahoo Finance (finance.yahoo.com), a reputable and widely-used financial data platform.

Use Case:

The Google Stock Price Dataset can be utilized for various purposes, such as predicting future stock prices, analyzing historical stock trends, and building machine learning models for financial forecasting.

Potential Applications:

Time Series Analysis: Explore stock price patterns and seasonality. Financial Modeling: Develop predictive models to forecast stock prices. Algorithmic Trading: Create trading strategies based on historical stock data. Risk Management: Assess potential risks and volatilities in the stock market.

Citation:

If you use this dataset in your research or analysis, please provide proper attribution and citation to acknowledge the source.

License: This dataset is provided under the Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication, making it freely available for use without any restrictions or attribution requirements.

Context

Alphabet Inc. is a listed US holding company of the former Google LLC, which continues to exist as a subsidiary. The headquarters is Mountain View in Silicon Valley. The company is led by Sundar Pichai as CEO.

With sales of $137 billion, a profit of $30.7 billion and a market value of $ 863.2 billion, Alphabet Inc. ranks 17th among the world's largest companies according to Forbes Global 2000 (as of 4th November 2019). The company had a market cap of $ 766.4 billion in early 2018. In 2019, Alphabet had annual sales of $161.9 billion and an annual profit of $34.3 billion.

Market capitalization of Alphabet (Google) (GOOG)

Market cap: $2.442 Trillion USD

As of August 2025 Alphabet (Google) has a market cap of $2.442 Trillion USD. This makes Alphabet (Google) the world's 4th most valuable company by market cap according to our data. The market capitalization, commonly called market cap, is the total market value of a publicly traded company's outstanding shares and is commonly used to measure how much a company is worth.

Content

Geography: USA

Time period: August 2004- August 2025

Unit of analysis: Google Stock Data 2025

Variables

Acknowledgements

This dataset belongs to me. I’m sharing it here for free. You may do with it as you wish.

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Dataset

This dataset was created by Imen Bakir

Contents

Many academics and analysts have found it challenging to master the art of predicting stock values. Investors are actually quite interested in the field of stock price forecasting research. Many investors are interested in knowing the stock market's future scenario in order to make a smart and successful investment. By giving helpful information like the stock market's future direction, good and successful stock market prediction systems assist traders, investors, and analysts.

This dataset contains the stock prices of Google since the COVID-19 pandemic began. There are 7 columns in this dataset:

📉 GOOGL Daily Stock Prices (2004–2025)

📌 Overview

This dataset offers complete historical daily stock prices for Alphabet Inc. (GOOGL). Spanning from GOOGL’s IPO in 2004 through to the present, it provides a clean and consistent view of stock performance over time.

Whether you’re building predictive models, testing trading strategies, or visualizing long-term price movements, this dataset is ready to use with just a few lines of code.

🔗 Use Together With My Other GOOGL Datasets!

This dataset is part of a larger ecosystem of Google/Alphabet-related datasets I created. You can use them together for powerful, multi-dimensional analysis:

👉 GOOGL Financial Dataset: Quarterly Reports + Daily Prices
Includes quarterly income statements, balance sheets, cash flow statements, and another source of daily prices for cross-verification or model ensembling.

👉 GOOGL Daily News — 2000 to 2025
Provides daily news headlines and summaries related to Alphabet Inc., perfect for sentiment analysis, event-based forecasting, and correlating news with stock prices.

Combine all three datasets to:

• Analyze how news sentiment affects stock performance
• Correlate earnings announcements with market reaction
• Build predictive models that integrate both fundamentals and external signals

📁 Columns

1. open – Opening stock price of the day
2. high – Highest price reached that day
3. low – Lowest price during the day
4. close – Closing price of the trading day
5. volume – Volume of shares traded
date (index) – Trading date

Dataset

This dataset was created by Berat Kargin

Contents

Dataset

This dataset was created by Abhay Kumar

Released under Other (specified in description)

Contents

Google LLC, founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University, has grown from a small search engine project to one of the most influential technology companies in the world. Headquartered in Mountain View, California, Google is renowned for its search engine, which handles billions of queries per day, as well as its extensive range of services and products, including YouTube, Android, Google Maps, and Gmail. In 2015, Google restructured under the parent company Alphabet Inc., expanding its ventures into various sectors such as artificial intelligence, autonomous vehicles, and healthcare.

This dataset provides a comprehensive record of Google’s stock price changes over the last 20 years. It includes essential columns such as the date, opening price, highest price of the day, lowest price of the day, closing price, adjusted closing price, and trading volume.

This extensive data is invaluable for conducting historical analyses, forecasting future stock performance, and understanding long-term market trends related to Google's stock.

This data is collected from Yahoo Finance 2024

Price: Close price of the stock 2. Volume: Volume of the stock 3. Date: Date of the stock 4. Open: Open price of the stock 5. High: High price of the stock 6. Low: Low price of the stock 7. Close: Close price of the stock 8. Adj Close: Adjusted close price of the stock 9. Ticker: Ticker symbol of the stock

Dataset

This dataset was created by darth manav

Contents

Dataset

This dataset was created by nazish javeed

Released under Apache 2.0

Contents

This dataset contains the daily stock information for Google (GOOGLE) from January 1, 2010 to May 3, 2022. The data includes the following fields:

Date: The date of the stock market trading day. Open: The opening price of the stock on that day. 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 that day. Adj Close: The closing price adjusted for corporate actions such as splits and dividends. Volume: The trading volume for the stock on that day.

This dataset can be used to analyze Google's stock price history and build predictive models for forecasting future stock prices. Some potential use cases include:

Trend analysis: Identify long-term trends and patterns in Google's stock price movement. Technical analysis: Examine technical indicators like moving averages, support/resistance levels, and trading volume to inform investment decisions. Machine learning models: Train and test algorithms for predicting future stock prices based on historical data. Portfolio optimization: Incorporate Google stock data into a broader portfolio analysis and optimization.

The data was obtained from a public source and is provided as is. Users are encouraged to validate and clean the data as needed for their specific analysis requirements.

What is Google?

Google LLC is an American multinational technology company that specializes in Internet-related services and products, which include online advertising technologies, a search engine, cloud computing, software, and hardware. It is considered one of the Big Five companies in the American information technology industry, along with Amazon, Facebook, Apple, and Microsoft. Google was founded on September 4, 1998, by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University in California. Together they own about 14% of its publicly-listed shares and control 56% of the stockholder voting power through super-voting stock. The company went public via an initial public offering (IPO) in 2004. In 2015, Google was reorganized as a wholly-owned subsidiary of Alphabet Inc. Google is Alphabet's largest subsidiary and is a holding company for Alphabet's Internet properties and interests. Sundar Pichai was appointed CEO of Google on October 24, 2015, replacing Larry Page, who became the CEO of Alphabet. On December 3, 2019, Pichai also became the CEO of Alphabet.

Information about this dataset

This dataset provides historical data of Alphabet Inc. (GOOG). The data is available at a daily level. Currency is USD.

About this Dataset

This dataset offers a comprehensive, up-to-date look at the historical stock performance of Alphabet Inc. (GOOGL), the parent company of Google.

About the Company

Alphabet Inc. is an American multinational technology conglomerate headquartered in Mountain View, California. It was created in 2015 as the parent company of Google and several other companies previously owned by Google. The company is best known for its core search engine, Google, as well as products and services like Android, YouTube, and Gmail. As a key component of the S&P 500, Alphabet's stock performance is a significant indicator of the global technology sector and the internet economy.

Key Features

Daily OHLCV Data: The dataset contains essential Open, High, Low, Close, and Volume metrics for each trading day.

Comprehensive History: Includes data from Google's early trading history to the present, offering a long-term perspective.

Regular Updates: The dataset is designed for regular, automated updates to ensure data freshness for time-sensitive projects.

Data Dictionary

Date: The date of the trading session in YYYY-MM-DD format.

ticker: The standard ticker symbol for Alphabet Inc. on the NASDAQ exchange: 'GOOGL' (Class A).

name: The full name of the company: 'Alphabet Inc.'.

Open: The stock price in USD at the start of the trading session.

High: The highest price reached during the trading day in USD.

Low: The lowest price recorded during the trading day in USD.

Close: The final stock price at market close in USD.

Volume: The total number of shares traded on that day.

Data Collection

The data for this dataset is collected using the yfinance Python library, which pulls information directly from the Yahoo Finance API.

Potential Use Cases

Financial Analysis: Analyze historical price trends, volatility, and trading volume of Google stock.

Machine Learning: Develop and test models for stock price prediction and time series forecasting.

Educational Projects: A perfect real-world dataset for students and data enthusiasts to practice data cleaning, visualization, and modeling.

Dataset

This dataset was created by Naman Aarzoo

Released under CC0: Public Domain

Contents

This dataset contains the historical stock prices of Google (GOOGL) from January 2020 to March 2025. The data was fetched from Yahoo Finance using Python’s yfinance library.

📈 Key Features:

Timeframe: January 2020 - March 2025 Stock Exchange: NASDAQ Data Source: Yahoo Finance File Format: CSV 👨‍💻 Potential Uses:

Stock price prediction using Machine Learning Time-series analysis Stock market trend visualization Algorithmic trading research 📢 Note: This dataset is for educational and research purposes only. It should not be used for actual trading.

Google 2020-2025 Stock Price

Alphabet Inc. is an American multinational technology conglomerate holding company headquartered in Mountain View, California. Alphabet is the world's second-largest technology company by revenue, after Apple, and one of the world's most valuable companies. It was created through a restructuring of Google on October 2, 2015, and became the parent holding company of Google and several former Google subsidiaries. It is considered one of the Big Five American information technology companies, alongside Amazon, Apple, Meta, and Microsoft.

The establishment of Alphabet Inc. was prompted by a desire to make the core Google business "cleaner and more accountable" while allowing greater autonomy to group companies that operate in businesses other than Internet services. Founders Larry Page and Sergey Brin announced their resignation from their executive posts in December 2019, with the CEO role to be filled by Sundar Pichai, who is also the CEO of Google. Page and Brin remain employees, board members, and controlling shareholders of Alphabet Inc.

Source: https://en.wikipedia.org/wiki/Alphabet_Inc.

Information about this dataset

This dataset provides historical data of GOOG. stock (Google). The data is available at a daily level. Currency is USD.

These terms are key indicators in stock market trading and analysis, providing information about a stock's price movements and trading activity over a specific period (e.g., a day, week, or month):

Close Price:

The final price at which a stock trades during a specific trading session (e.g., at the end of the day). This price is often used as a reference point for comparing daily price movements.

Open Price:

The first price at which a stock trades when the market opens for the day. It can be influenced by after-hours trading, news, or economic events.

High Price:

The highest price at which a stock trades during a specific trading session. It shows the maximum value reached by the stock in that period.

Low Price:

The lowest price at which a stock trades during a specific trading session. It represents the minimum value reached by the stock in that period.

Volume:

The total number of shares traded during a specific period. It indicates the level of interest or activity in a stock, with higher volumes often reflecting greater market interest or volatility.