QuickLogic QUIK
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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.
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About
QuickLogic (QUIK) Business Model and Operations Summary
QuickLogic Corp provides programmable silicon and software platforms to enable its customers to develop custom hardware products in a fast time-to-market and cost-effective way. QuickLogic is a fabless semiconductor company with a product range: embedded FPGA (eFPGA) intellectual property (IP), low power, multi-core semiconductor system-on-chips (SoCs), discrete FPGAs, and AI software. The full range of platforms, software tools, and eFPGA IP enables the practical and efficient adoption of AI, voice, and sensor processing across Aerospace, and Defense, Consumer/Industrial IoT, and Consumer Electronics markets.
Key Insights
QuickLogic (QUIK) Core Market Data and Business Metrics
Latest Closing Price
$5.54Market Cap
$84.25 MillionTotal Outstanding Shares
15.84 Million SharesTotal Employees
59IPO Date
October 15, 1999SIC Description
Semiconductors & Related DevicesPrimary Exchange
NASDAQHeadquarters
2220 Lundy Avenue, San Jose, CA, 95131-1816
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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