MMTec MTC
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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
MMTec (MTC) Business Model and Operations Summary
MMTEC Inc provides Internet-based technology services and solutions to the Chinese language speaking hedge funds, mutual funds, registered investment advisors, proprietary trading groups, and brokerage firms engaging in securities market transactions and settlements globally. It offers complete suite trading solutions, including services such as fund establishment, issuance, custody, transaction, and settlement. The Company currently has two operating segments, Gujia, MM Future, HC Securities, and MM Global. It generates maximum revenue from the Gujia segment. Gujia segment provides market data services and investor relations management services to customers in China.
Key Insights
MMTec (MTC) Core Market Data and Business Metrics
Latest Closing Price
$1.02Market Cap
$25.05 MillionTotal Outstanding Shares
25.19 Million SharesTotal Employees
34IPO 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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