Super Micro Computer SMCI
$
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
Super Micro Computer (SMCI) Business Model and Operations Summary
Super Micro Computer, Inc., together with its subsidiaries, develops and manufactures high performance server and storage solutions based on modular and open architecture in the United States, Europe, Asia, and internationally. Its solutions range from complete server, storage systems, modular blade servers, blades, workstations, full racks, networking devices, server sub-systems, server management software, and security software. The company provides application-optimized server solutions, rackmount and blade servers, storage, and subsystems and accessories; and server software management solutions, such as Server Management Suite, including Supermicro Server Manager, Supermicro Power Management software, Supermicro Update Manager, SuperCloud Composer, and SuperDoctor 5. In addition, it offers server subsystems and accessories comprising server boards, chassis, power supplies, and other accessories. Further, the company provides server and storage system integration, configuration, and software upgrade and update services; and technical documentation services, as well as identifies service requirements, creates and executes project plans, and conducts verification testing and technical documentation, and training services. Additionally, it offers help desk and on-site product support services for its server and storage systems; and customer support services, including ongoing maintenance and technical support for its products. The company provides its products to enterprise data centers, cloud computing, artificial intelligence, and 5G and edge computing markets. It sells its products through direct and indirect sales force, distributors, value-added resellers, system integrators, and original equipment manufacturers. The company was incorporated in 1993 and is headquartered in San Jose, California.
Key Insights
Super Micro Computer (SMCI) Core Market Data and Business Metrics
Latest Closing Price
$40.09Market Cap
$27.54 BillionAverage Trade Volume
66,567,765 SharesTotal Outstanding Shares
596.82 Million SharesCEO
Mr. Charles LiangTotal Employees
5,684IPO Date
March 29, 2007SIC Description
Electronic ComputersPrimary Exchange
NASDAQHeadquarters
980 Rock Avenue, San Jose, CA, 95131
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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