Kindly MD NAKA
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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
Kindly MD (NAKA) Business Model and Operations Summary
Kindly MD Inc is a holistically focused pain management clinic and healthcare data company. It offers direct health care to patients integrating prescription medicine and behavioral health services to reduce opioid use in the chronic pain patient population. Its specialty outpatient clinical services are offered on a subscription and fee-for-service basis to augment traditional healthcare. The Company offers evaluation and management, including, but not limited to chronic pain, functional medicine, cognitive behavioral therapy, recovery support services, overdose education efforts, peer support, limited urgent care, preventative medicine, travel services, and hormone therapy.
Key Insights
Kindly MD (NAKA) Core Market Data and Business Metrics
Latest Closing Price
$15.88Market Cap
$158.81 MillionTotal Employees
61IPO Date
May 31, 2024SIC Description
Services-health ServicesPrimary Exchange
NASDAQHeadquarters
5097 South 900 East, Salt Lake City, UT, 84117
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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