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Daily Stock Market Data for ORCL
Stock & Market Data
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About
Historical stock price information is available for Oracle Corporation, detailing daily trading metrics spanning over 36 years. This financial resource captures the equity movements of one of the world’s largest software organisations, which is headquartered in Austin, Texas. This extensive time-series record is valuable for quantitative modeling and long-term investment research.
Columns
- Date: The specific calendar day the trading activity occurred.
- Open: The starting price of the stock for the trading day, with recorded values ranging from 0.04 to 104.
- High: The peak price achieved during the trading period, spanning 0.04 to 106.
- Low: The lowest price recorded during the trading period, ranging from 0.04 up to 102.
- Close: The closing price of the stock, with values observed between 0.04 and 104.
- Adj Close: The closing price adjusted for corporate actions such as stock splits or dividend disbursements. The maximum value recorded is 103.
- Volume: The total number of shares traded, ranging from a minimum of 389k to a maximum of 1.03b.
Distribution
The data file is typically supplied in a CSV format. It contains 7 distinct columns and 9,124 valid daily records. The provided sample file, Oracle.csv, has a size of 620.24 kB. Importantly, the dataset maintains a high quality standard, featuring zero missing or mismatched entries across all price and volume metrics.
Usage
This resource is ideally suited for developing and verifying quantitative trading strategies. It is frequently applied in machine learning for time series forecasting, particularly for training models such as LSTM and RNN. Further applications include historical studies on market volatility and assessing macroeconomic influences on large technology stocks.
Coverage
The data chronicles the daily stock prices for Oracle Corporation across a significant period, beginning on 12 March 1986 and concluding on 20 May 2022. Geographically, the data reflects the trading activity of a major American multinational corporation listed on public markets.
License
CC0: Public Domain
Who Can Use It
Intended users include data scientists focused on building predictive algorithms using historical time series data. It is also highly valuable for financial analysts, both beginners and intermediate professionals, seeking historical data for investment research and market analysis. Students and researchers studying the long-term history of the technology sector would also find this relevant.
Dataset Name Suggestions
- Oracle Corporation Equity Price History (1986–2022)
- Daily Stock Market Data for ORCL
- Long-Term Oracle Share Price Metrics
Attributes
Original Data Source: Daily Stock Market Data for ORCL
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