Sera Prognostics SERA
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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
Sera Prognostics (SERA) Business Model and Operations Summary
Sera Prognostics Inc is a health diagnostic company. It develops diagnostic tests for the early prediction of a woman's individualized risk of premature birth, preeclampsia, gestational diabetes, stillbirth, and other conditions. The proprietary proteomics and bioinformatics platform of the company helps to improve maternal and neonatal health by discovering, developing, and commercializing blood-based biomarker tests, and predictive analytic products and services. The Company operates as one operating segment, which is developing and commercializing its medical diagnostic products and services.
Key Insights
Sera Prognostics (SERA) Core Market Data and Business Metrics
Latest Closing Price
$1.56Market Cap
$63.29 MillionTotal Outstanding Shares
36.71 Million SharesTotal Employees
64IPO Date
July 15, 2021SIC Description
Services-medical LaboratoriesPrimary Exchange
NASDAQHeadquarters
2749 E. Parleys Way, Salt Lake City, UT, 84109
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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