Troops TROO
$
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
Troops (TROO) Business Model and Operations Summary
TROOPS Inc is a conglomerate group of various businesses with its headquarters based in Hong Kong. The group is principally engaged in money lending business in Hong Kong providing mortgage loans to high quality target borrowers, property investment to generate additional rental income and the development, operation and management of an online financial marketplace that provides one-stop financial technology solutions including API services by leveraging artificial intelligence, large data and blockchain, and cloud computing (SaaS). It derives revenue from Hong Kong and Australia. Majority of its revenue generates from domestic market.
Key Insights
Troops (TROO) Core Market Data and Business Metrics
Latest Closing Price
$0.73Market Cap
$77.62 MillionTotal Outstanding Shares
112.51 Million SharesTotal Employees
42IPO Date
April 9, 2008SIC Description
Blank ChecksPrimary Exchange
NASDAQHeadquarters
13/f Tower 2, 18 Queens Road Central, K3, 00000
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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