Mdjm UOKA
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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
Mdjm (UOKA) Business Model and Operations Summary
MDJM Ltd is a real estate service company. The company provides real estate agency services to real estate developer clients, as well as real estate consulting services and independent training services on an as-needed basis. It offers consulting, marketing planning, advertising services, and sales strategies to real estate clients. The company income is derived from commission-based services and minimal consulting and other services. The company has two operating segments; the real estate agent services segment and the hospitality business segment. It derives a majority of its revenue from the People's Republic of China.
Key Insights
Mdjm (UOKA) Core Market Data and Business Metrics
Latest Closing Price
$2.56Market Cap
$2.81 MillionTotal Outstanding Shares
1.07 Million SharesTotal Employees
11IPO Date
January 8, 2019Primary Exchange
NASDAQ
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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