Urgent.ly ULY
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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
Urgent.ly (ULY) Business Model and Operations Summary
Urgently Inc is a connected mobility assistance software platform, matching vehicle owners and operators with service professionals who deliver traditional roadside assistance, proactive maintenance and repair services. The traditional experience of a vehicle breakdown is often stressful and inconvenient, compounded by processes that lack transparency and to long wait times. Urgently offers an alternative to this traditional experience, leveraging its digitally native software platform to match supply and demand in its network and deliver exceptional mobility assistance experiences at scale.
Key Insights
Urgent.ly (ULY) Core Market Data and Business Metrics
Latest Closing Price
$5.48Market Cap
$7.39 MillionTotal Outstanding Shares
1.25 Million SharesTotal Employees
158IPO Date
October 19, 2023SIC Description
Services-computer Processing & Data PreparationPrimary Exchange
NASDAQHeadquarters
8609 Westwood Center Drive, Suite 810, Vienna, VA, 22182
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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