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PYPL Market Data Time Series
Stock & Market Data
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About
This data product focuses on the historical daily stock performance of PayPal Holdings, Inc., an American multinational financial technology corporation. It tracks the market activity for the company, which operates a widely used online payments system across numerous countries and functions as an electronic alternative to traditional paper methods such as checks and money orders. The time series data covers nearly seven years, providing essential metrics for financial market analysis since 2015.
Columns
The dataset includes seven principal columns relating to daily trading activity:
- Date: The date of the recorded stock data, ranging from 6 July 2015 to 20 May 2022.
- Open: The starting price of the stock for the trading day. Prices range generally from 30.8 to 310, with a mean price of 111.
- High: The highest price the stock reached during that trading day. Prices range generally from 31.3 to 310, with a mean price of 112.
- Low: The lowest price the stock reached during that trading day. Prices range generally from 30.0 to 305, with a mean price of 109.
- Close: The final trading price of the stock when the market closed. Prices range generally from 30.6 to 309, with a mean price of 111.
- Adj Close (Adjusted Close): The closing price adjusted for corporate actions. Prices range generally from 30.6 to 309, with a mean price of 111.
- Volume: The total volume of shares traded during the day, measured in units of stock. The volume ranges from 1.68 million up to 136 million, with a mean volume of approximately 9.28 million stocks.
Distribution
The data is delivered in a CSV file format named
PayPal.csv, with a file size of 123.94 kB. It contains 7 columns and 1,734 individual records or rows. The data quality is high, validated across all fields, with zero mismatched or missing entries, representing 100% valid data.Usage
This financial data is suited for several analytical applications, including:
- Developing quantitative financial models and trading algorithms.
- Analysing market volatility and price distribution patterns.
- Training machine learning models, such as Recurrent Neural Networks (RNN), for time series forecasting.
- Studying banking and e-commerce trends within the financial technology sector.
Coverage
The data provides a detailed temporal scope, covering daily trading activity over nearly seven years. The time range begins on 6 July 2015 and concludes on 20 May 2022. The data focuses exclusively on the stock performance of PayPal Holdings, Inc.
License
CC0: Public Domain
Who Can Use It
This product is highly suitable for:
- Investment Firms: For back-testing investment strategies and analysing portfolio risk associated with fintech stocks.
- Academics and Students: For conducting research into market efficiency, financial modelling coursework, and banking trends.
- Data Scientists: For developing and testing predictive analytics models on real-world stock market time series data.
Dataset Name Suggestions
- PayPal Historical Stock Prices (2015-2022)
- PYPL Market Data Time Series
- Fintech Payments Stock Performance
Attributes
Original Data Source: PYPL Market Data Time Series
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