Baselight

Top 10 Fast Food Giants: Stock Price Dataset(2024)

An in-depth look into the stock performance of the biggest fast food giants

@kaggle.nguyentiennhan_stock_prices_of_the_10_largest_fast_foo_c09b7ae0

About this Dataset

Top 10 Fast Food Giants: Stock Price Dataset(2024)

Dataset Description: This dataset consists of historical stock price data for 10 of the largest fast food companies, collected from Yahoo Finance. Each company’s stock data is stored in a separate Excel file, containing key financial metrics that are typically tracked for market analysis, such as open, high, low, close, adjusted close prices, and trading volume over a specified time period.

Files Descriptions: Each Excel file corresponds to a different fast food company’s stock, identified by its ticker symbol:

  • BRK-A - Berkshire Hathaway Inc. (A financial conglomerate that has major stakes in fast food and other industries)
  • DNUT- Krispy Kreme, Inc.
  • DPZ - Domino’s Pizza, Inc.
  • LKNCY - Luckin Coffee Inc.
  • MCD - McDonald's Corporation
  • PZZA - Papa John's International, Inc.
  • QSR - Restaurant Brands International Inc. (Parent of Burger King, Tim Hortons, and Popeyes)
  • SBUX - Starbucks Corporation
  • WEN - The Wendy’s Company
  • YUM - Yum! Brands, Inc. (Parent of KFC, Taco Bell, and Pizza Hut)

Column Descriptions: Each file likely contains the following columns (standard in Yahoo Finance datasets):

  • Date: The trading date.
  • 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 market close.
  • Adj Close: The closing price adjusted for dividends and stock splits.
  • Volume: The number of shares traded during the day.

Purpose: This dataset can be used to:

  • Analyze stock trends and volatility in the fast food sector.
  • Compare the performance of different fast food companies over time.
  • Explore correlations between companies and broader economic or market conditions.
  • Test financial models or strategies, such as momentum trading or moving average crossovers.

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