QGdata

verify-tagGoogle Stock Prices (2015-2024)

Time Series AnalysisInvesting

$880

Sold 0
42.83KB

Data Identifier:D17527206723456049

Publish Time:2025/07/17

Data Description

Context

In the dynamic world of finance, historical stock data serves as a cornerstone for analysis, predictive modeling, and strategic investment decisions. Understanding the past performance of market leaders like Alphabet Inc.'s Class A shares (GOOGL) is crucial for identifying trends, assessing volatility, and developing robust forecasting models. This dataset offers a detailed look into nearly a decade of GOOGL's daily market activity.

Overview

This dataset provides daily historical stock price and trading volume data for Alphabet Inc.'s Class A (voting) shares, traded under the ticker symbol GOOGL.

Category Detail
Records 2500+ daily observations (trading days only)
Timeframe January 1, 2015 - December 31, 2024
Company Alphabet Inc. (GOOGL)
Data Points Open, High, Low, Close, Volume
Frequency Daily (trading days only)

Files

  • GoogleStockPrices.csv
    • Contains daily records for GOOGL.
    • Columns: DateOpenHighLowCloseVolume.
    • Important: This file only includes records for actual stock market trading days (weekends and public holidays are not present).

Key Features

  1. Extensive Temporal Coverage: Nearly a decade of market data for GOOGL, from 2015 through 2024.
  2. Single Ticker Focus: Dedicated to Alphabet Inc.'s Class A (GOOGL) shares, allowing for in-depth analysis of this specific stock.
  3. Comprehensive Daily Metrics: Includes Open, High, Low, Close prices, and trading Volume, essential for detailed technical analysis.
  4. Trading Day Focus: Data is strictly limited to actual market trading days, reflecting real market activity without artificial interpolations for non-trading days.
  5. Direct Source: Data is derived directly from Google Finance, a reliable and widely recognized source for financial information.

Uses

This dataset is ideally suited for a wide range of financial and data science applications, including:

  • Time Series Analysis: Analyze long-term price trends, seasonality, and cycles in GOOGL's stock performance.
  • Predictive Modeling: Develop and test models for daily GOOGL stock price forecasting, volatility prediction, or trend identification.
  • Algorithmic Trading Strategies: Backtest daily trading algorithms based on GOOGL's historical price and volume data.
  • Risk Assessment: Study historical volatility and drawdowns of GOOGL to understand potential investment risks.
  • Market Event Analysis: Examine the daily impact of major corporate announcements, economic news, or global events specifically on GOOGL's stock.

Licensing

This dataset is published under the MIT License, allowing free use for both personal and commercial purposes. Attribution is encouraged but not required.

Verification Report

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Google Stock Prices (2015-2024)
$880
Sold 0
42.83KB
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