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Airbnb Daily Historical Stock Prices
Stock & Market Data
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About
Presents historical stock price data for Airbnb, Inc., an American corporation that manages a significant online marketplace, primarily known for facilitating homestays, vacation rentals, and associated tourism activities. This resource captures over two years of daily trading figures for the corporation, offering essential metrics suitable for financial analysis and predictive modelling, particularly within the Investing domain.
Columns
The data product consists of 7 columns detailing daily market activity:
- Date, Day, DateTime Count: Specifies the trading date, covering a span from 10 December 2020 to 23 May 2022.
- Open: The price at which the stock commenced trading for the day. Observed values span approximately £108 to £216.
- High: The highest recorded price the stock traded at during the day. The maximum recorded high price is approximately £220.
- Low: The lowest price the stock traded at during the day. The minimum recorded low price is approximately £107.
- Close: The closing price recorded at the end of the trading day.
- Adj Close (Adjusted Close): The closing price modified to account for any corporate actions.
- Volume: The total volume of stocks traded on the specified day. Volumes range widely, from 2.00 million up to 70.4 million.
Distribution
The data is structured in a tabular format and is contained within an
Airbnb.csv file, approximately 27.1 kB in size. It comprises 7 distinct fields. All key price metrics (Open, High, Low, Close, Adj Close) include 365 valid records, indicating 100% data availability with zero missing or mismatched entries. The data is currently static, and no future updates are expected.Usage
This data product is perfectly suited for time-series analysis and investment strategy development. It can be utilised for training machine learning models, such as Recurrent Neural Networks (RNN), to forecast short-term or long-term stock fluctuations. It supports financial research and tracking the performance of a major tech and tourism platform stock.
Coverage
The temporal scope of the data exceeds two years, commencing on 10 December 2020 and concluding on 23 May 2022. The data relates to Airbnb, Inc., which is headquartered in San Francisco, California.
License
CC BY-SA 4.0
Who Can Use It
- Beginner Financial Analysts: To learn basic stock data structures and market terminology.
- Intermediate Investors: To perform statistical analysis on stock volatility and calculate key metrics like standard deviation and quantiles.
- Data Scientists and Modellers: For creating and refining predictive trading algorithms using time-series techniques.
- Academics: For research focusing on the financial performance of online marketplaces during the 2020–2022 period.
Dataset Name Suggestions
- Airbnb Daily Historical Stock Prices
- AIBNB Share Price Metrics (2020-2022)
- Airbnb Investment Data for RNN Modelling
- Historical Vacation Rental Sector Stock Data
Attributes
Original Data Source: Airbnb Daily Historical Stock Prices
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