DocGo DCGO
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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
DocGo (DCGO) Business Model and Operations Summary
DocGo, Inc. provides mobile health and medical transportation services for various health care providers in the United States and the United Kingdom. The company's transportation services include emergency response services; and non-emergency transport services comprise ambulance and wheelchair transportation services. It also offers mobile health services through its platform that are performed at home and offices; COVID-19 testing; and event services, which include on-site healthcare support at sporting events and concerts. DocGo, Inc. was incorporated in 2015 and is headquartered in New York, New York.
Key Insights
DocGo (DCGO) Core Market Data and Business Metrics
Latest Closing Price
$1.59Market Cap
$149.65 MillionAverage Trade Volume
1,057,679 SharesCEO
Mr. Lee BienstockTotal Employees
4,407IPO Date
November 8, 2021SIC Description
Services-health ServicesPrimary Exchange
NASDAQHeadquarters
685 Third Avenue, New York, NY, 10017
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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