SiTime SITM
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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
SiTime (SITM) Business Model and Operations Summary
SiTime Corp is a provider of silicon timing systems solutions. The company designs develops and sell silicon timing systems solutions for different industries including automotive, infrastructure, aerospace-defense, consumer, internet of things, consumer and industrials. Its product offerings include Stratum 3E DCOCXOs, Programmable OCXOs, MHz Oscillators, 32.768 kHz Oscillators, Embedded Resonators, Precision MHz Super-TCXOs, and Ruggedized Oscillators. It sells its products around Taiwan, Hong Kong, the United States, and other regions and generates the majority of its revenue from Taiwan.
Key Insights
SiTime (SITM) Core Market Data and Business Metrics
Latest Closing Price
$196.07Market Cap
$4.75 BillionTotal Outstanding Shares
23.72 Million SharesTotal Employees
395IPO Date
November 21, 2019SIC Description
Semiconductors & Related DevicesPrimary Exchange
NASDAQHeadquarters
Sitime Corporation, Santa Clara, CA, 95054
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
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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