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Top 10 Fast Food Companies Stock Prices
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About
Historical stock price data for 10 of the largest fast food companies offers an in-depth look into the stock performance of major industry giants. Collected from Yahoo Finance, this information includes key financial metrics tracked for market analysis, such as daily open, high, low, close, adjusted close prices, and trading volume. This allows for detailed analysis of stock trends and volatility within the fast food sector.
Columns
- Date: The trading date for the stock data.
- Open: The price at which the stock opened on a given day.
- High: The highest price of the stock during the trading session.
- Low: The lowest price of the stock during the trading session.
- Close: The price of the stock at the market close.
- Adj Close: The closing price adjusted for dividends and stock splits.
- Volume: The total number of shares traded during the day.
Distribution
The data is distributed across separate Excel files, with each file corresponding to a different fast food company's stock, identified by its ticker symbol. One example file, BRK-A.csv, has a size of 644.95 kB and contains 11,200 rows.
Usage
Ideal applications for this data include:
- Analysing stock trends and volatility in the fast food sector.
- Comparing the performance of different fast food companies over time.
- Exploring correlations between companies and broader economic or market conditions.
- Testing financial models or strategies, such as momentum trading or moving average crossovers.
Coverage
The dataset covers 10 major publicly traded fast food companies and related entities. The time range varies by company; for example, the data for Berkshire Hathaway Inc. (BRK-A) spans from 17 March 1980 to 19 September 2024. The data is financial and does not have demographic scope.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: To conduct market analysis, compare company performance, and identify investment opportunities in the fast food industry.
- Data Scientists: For building and testing predictive financial models, performing time series analysis, and creating data visualisations.
- Academic Researchers: To study market dynamics, corporate finance, and the economic impact on the fast food sector.
- Investors: To inform trading strategies by analysing historical volatility, trends, and performance metrics of specific stocks.
Dataset Name Suggestions
- Fast Food Giants Stock Performance
- QSR Stock Market Historical Data
- Top 10 Fast Food Companies Stock Prices
- Fast Food Industry Financial Trends
Attributes
Original Data Source: Top 10 Fast Food Companies Stock Prices
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