Oracle ORCL
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Relative Strength Index (RSI)
- The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in financial markets.
- The RSI is calculated using the following formula:
RSI = 100 - (100 / (1 + RS))
Where RS is the ratio of the average gains to the average losses over a specified period.
- The default time period used is 14 days.
- RSI values range between 0 and 100.
RSI values above 70 are considered overbought (indicating a potentially opportune time to sell)
RSI values below 30 are considered oversold (indicating a potentially opportune time to buy)
RSI is not a perfect indicator and should be used in conjunction with other technical analysis tools, this is for informational purposes only and is not a substitute for professional financial advice.
About
Oracle (ORCL) Business Model and Operations Summary
Oracle Corporation offers products and services that address enterprise information technology environments worldwide. Its Oracle cloud software as a service offering include various cloud software applications, including Oracle Fusion cloud enterprise resource planning (ERP), Oracle Fusion cloud enterprise performance management, Oracle Fusion cloud supply chain and manufacturing management, Oracle Fusion cloud human capital management, Oracle Advertising, and NetSuite applications suite, as well as Oracle Fusion Sales, Service, and Marketing. The company also offers cloud-based industry solutions for various industries; Oracle application licenses; and Oracle license support services. In addition, it provides cloud and license business' infrastructure technologies, such as the Oracle Database, an enterprise database; Java, a software development language; and middleware, including development tools and others. The company's cloud and license business' infrastructure technologies also comprise cloud-based compute, storage, and networking capabilities; and Oracle autonomous database, MySQL HeatWave, Internet-of-Things, digital assistant, and blockchain. Further, it provides hardware products and other hardware-related software offerings, including Oracle engineered systems, enterprise servers, storage solutions, industry-specific hardware, virtualization software, operating systems, management software, and related hardware services; and consulting and customer services. The company markets and sells its cloud, license, hardware, support, and services offerings directly to businesses in various industries, government agencies, and educational institutions, as well as through indirect channels. Oracle Corporation was founded in 1977 and is headquartered in Austin, Texas.
Key Insights
Oracle (ORCL) Core Market Data and Business Metrics
Latest Closing Price
$210.24Market Cap
$581.54 BillionAverage Daily Volume
11,662,916 Shares52-Week Range
$118.86-$216.6CEO
Ms. Safra Ada CatzTotal Employees
162,000IPO Date
March 12, 1986SIC Description
Services-prepackaged SoftwarePrimary Exchange
New York Stock ExchangeHeadquarters
2300 Oracle Way, Austin, TX, 78741
Earnings Reports
Expected vs. Actual Quarterly Earnings-Per-Share & Revenue
Short Volume
Daily short volume activity identifies short-term trading pressure and potential price volatility
Short Interest
Short Interest
This information represents bi-monthly aggregated short interest data reported to the Financial Industry Regulatory Authority (FINRA) by broker-dealers.
Settlement Date: The date on which the short interest data is considered settled, typically based on exchange reporting schedules.
Short Interest: The total number of shares that have been sold short but have not yet been covered or closed out.
Avg Daily Volume: The average daily trading volume for the stock over the specified period, typically used to contextualize short interest.
Days To Cover: The estimated number of days it would take to cover all short positions based on average trading volume.
Bi-monthly short interest levels can be used to gauge bearish market sentiment and short squeeze potential
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
Execution Date | Split Amount |
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