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Global Tech Giants Stock Market Data
Stock & Market Data
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About
This dataset provides daily stock prices and trading volumes for 14 prominent technology companies globally, offering a detailed view of Big Tech Giants' stock performance from January 2010 to January 2023. It includes crucial financial metrics for companies such as Apple, Amazon, Alphabet, Meta Platforms, Adobe, Cisco Systems, IBM, Intel Corporation, Netflix, Tesla, and NVIDIA. The data is adjusted for splits and dividend distributions, adhering to industry standards, making it suitable for in-depth financial analysis.
Columns
- stock_symbol: The unique ticker symbol for each company's stock.
- date: The specific calendar date for the recorded stock price.
- open: The share price at the market's opening on the given day.
- high: The peak share price recorded during that trading day.
- low: The lowest share price recorded during that trading day.
- close: The share price at the market's close, adjusted for stock splits.
- adj_close: The closing share price after factoring in all applicable stock splits and dividend distributions, aligned with Center for Research in Security Prices (CRSP) standards.
- volume: The total number of shares traded on that specific day.
- company: The full name of the technology company.
Distribution
The dataset is typically provided in a CSV file format. It contains daily stock prices and volume data. While the exact file size is not specified, it encompasses a substantial number of records; most stock symbols feature 3271 daily prices. Meta Platforms (META) has 2688 prices and Tesla (TSLA) has 3148 prices, as they were not publicly traded for the entire duration of the examined period.
Usage
This dataset is ideally suited for:
- Financial analysis and modelling related to Big Tech companies.
- Investment strategy development and back-testing.
- Economic research focusing on market trends and tech sector performance.
- Developing and training Artificial Intelligence models for stock prediction or market sentiment analysis.
- Academic studies on stock market dynamics and corporate valuations.
Coverage
The dataset's coverage is worldwide, encompassing the stock market performance of selected global technology giants. The time period spans from January 2010 to January 2023. It is important to note the specific data availability for certain companies: Meta Platforms and Tesla have fewer data points compared to the other companies included, reflecting their respective public trading commencement dates within the period.
License
CC0: Public Domain
Who Can Use It
This dataset is valuable for a wide range of users, including:
- Financial analysts and investors seeking to understand and forecast tech stock movements.
- Economists and researchers studying market behaviour and the impact of the tech sector.
- Data scientists and machine learning engineers building predictive models or exploring financial data trends.
- Students and academics requiring real-world financial data for projects and studies.
- Anyone interested in the historical performance of major technology companies in the stock market.
Dataset Name Suggestions
- Big Tech Daily Stock Prices 2010-2023
- Global Tech Giants Stock Market Data
- Daily Stock Performance of Leading Tech Companies
- Big Tech Stock Analysis Dataset
- Historical Tech Stock Metrics
Attributes
Original Data Source: Global Tech Giants Stock Market Data
QUALITY