PDF Solutions PDFS
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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
PDF Solutions (PDFS) Business Model and Operations Summary
PDF Solutions Inc offers products and services designed to empower engineers and data scientists across the semiconductor ecosystem to improve the yield, quality, and profitability of their products. The solutions combine proprietary software, physical intellectual property (or IP) for integrated circuit (or IC) designs, electrical measurement hardware tools, various methodologies, and professional services. The company's products and services are sold to integrated device manufacturers (or IDMs), fabless semiconductor companies, foundries, outsourced semiconductor assembly and test (or OSATs), and system houses.
Key Insights
PDF Solutions (PDFS) Core Market Data and Business Metrics
Latest Closing Price
$17.7Market Cap
$738.56 MillionTotal Outstanding Shares
39.14 Million SharesTotal Employees
539IPO Date
July 26, 2001SIC Description
Services-prepackaged SoftwarePrimary Exchange
NASDAQHeadquarters
2858 De La Cruz Boulevard, Santa Clara, CA, 95050
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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