Snap Inc. Historical Stock Market Data
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About
Analyses five years of Snapchat stock prices, offering a historical view of its market performance. Snapchat is an American multimedia instant messaging application and service, developed by Snap Inc. A key feature of Snapchat is that images and messages are typically only viewable for a short period before becoming inaccessible to recipients. This dataset provides granular daily stock metrics for the company.
Columns
The dataset comprises seven distinct columns:
- Date: The specific date for which the stock data is recorded, ranging from 2nd March 2017 to 20th May 2022.
- Day: A specific day entry, consistent with the Date column, from 2017-03-02 to 2022-05-20.
- Open: Represents the opening price of the stock on the given day, with values typically ranging from 4.96 to 82.00.
- High: Indicates the highest price reached by the stock during the day, with values typically ranging from 5.14 to 83.34.
- Low: Shows the lowest price of the stock during the day, with values typically ranging from 4.82 to 79.32.
- Close: The closing price of the stock at the end of the trading day, with values typically ranging from 4.99 to 83.11.
- Adj Close: The adjusted closing price, which accounts for factors like dividends and stock splits, with values typically ranging from 4.99 to 83.11.
- Volume: The total volume of shares traded on that day, ranging from approximately 3.29 million to 309 million.
All columns contain 1316 valid records, with no mismatched or missing values, ensuring data integrity.
Distribution
The dataset is provided in a CSV file format, specifically "SnapChat.csv", with a file size of 91.47 kB. It is structured as tabular data, containing 7 columns and 1316 records. No specific numbers for rows/records beyond this count are available.
Usage
This dataset is ideal for:
- Historical stock analysis: Examining past performance and trends of Snap Inc. stock.
- Financial modelling: Developing and testing predictive models for stock prices.
- Algorithmic trading strategies: Backtesting trading algorithms.
- Educational purposes: Teaching data analysis, finance, and time-series forecasting.
- Machine learning applications: Particularly suitable for recurrent neural networks (RNNs) for time-series prediction.
Coverage
The dataset covers a time range of approximately five years, specifically from 2nd March 2017 to 20th May 2022. As it pertains to a publicly traded stock, its scope is global, reflecting market performance for Snap Inc., an American company. There are no specific notes on data availability for certain groups or years; the data appears consistent throughout the specified period.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for a wide array of users, including:
- Investors: For research and due diligence on Snap Inc.
- Financial analysts: To perform in-depth market trend analysis.
- Data scientists: For building and evaluating predictive models.
- Students and researchers: For academic projects in finance, economics, and data science.
- Beginner and intermediate data enthusiasts: Due to its clear tabular structure and direct relevance to a well-known company.
Dataset Name Suggestions
- Snapchat Daily Stock Prices 2017-2022
- Snap Inc. Historical Stock Market Data
- Five-Year SNAP Stock Performance
- Daily Snapchat (SNAP) Stock Metrics
- Snapchat Stock Trends
Attributes
Original Data Source: Snap Inc. Historical Stock Market Data