ISPC
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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
undefined (ISPC) Business Model and Operations Summary
iSpecimen Inc. provides technology that connects life science researchers who need human biofluids, tissues, and living cells for their research with biospecimens available in healthcare provider organizations worldwide. Its cloud-based technology enables scientists to search for specimens and patients across a network of hospitals, labs, biobanks, blood centers, and other healthcare organizations. The company develops and operates iSpecimen Marketplace, a proprietary online marketplace platform that connects medical researchers who need access to subjects, samples, and data with hospitals, laboratories, and other organizations who have access to them. It serves biopharmaceutical companies, in vitro diagnostic companies, and government/academic institutions. The company was incorporated in 2009 and is headquartered in Lexington, Massachusetts.
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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