Standard BioTools LAB
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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
Standard BioTools (LAB) Business Model and Operations Summary
Standard BioTools Inc develops, manufactures, and sells technologies that help biomedical researchers in their search for developing medicines faster. Its tools provide insights into health and disease using proprietary mass cytometry and microfluidics technologies, which serve applications in proteomics and genomics, respectively. Its segments include Proteomics and Genomics. It generates maximum revenue from the Proteomics segment. Geographically, it derives a majority of its revenue from the Americas.
Key Insights
Standard BioTools (LAB) Core Market Data and Business Metrics
Latest Closing Price
$1.01Market Cap
$372.08 MillionTotal Outstanding Shares
379.82 Million SharesTotal Employees
818IPO Date
February 10, 2011SIC Description
Laboratory Analytical InstrumentsPrimary Exchange
NASDAQHeadquarters
2 Tower Place, South San Francisco, CA, 94080
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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