National Research NRC
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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
National Research (NRC) Business Model and Operations Summary
National Research Corp is a provider of analytics and insights that facilitate measurement and improvement of the patient and employee experience while also increasing patient engagement and customer loyalty for healthcare providers, payers, and other healthcare organizations. Its portfolio of solutions represents a set of capabilities that individually and collectively provide value to clients. It operates in the United States and Canada, of which key revenue is derived from the United States.
Key Insights
National Research (NRC) Core Market Data and Business Metrics
Latest Closing Price
$13.51Market Cap
$310.79 MillionTotal Outstanding Shares
22.79 Million SharesTotal Employees
368IPO Date
October 10, 1997SIC Description
Services-commercial Physical & Biological ResearchPrimary Exchange
NASDAQHeadquarters
1245 Q Street, Lincoln, NE, 68508
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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