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.