Mind CTI MNDO
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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
Mind CTI (MNDO) Business Model and Operations Summary
MIND C.T.I. Ltd develops, manufactures, markets, and implements real-time and off-line convergent billing and customer care software solutions. It derives revenue from the sale of software products and services in two reportable segments, namely Billing and Related Services, which derives key revenue, and Messaging. The company has three product lines: Product Line A- billing and customer care solutions for service providers; Product Line B - call accounting and call management solutions for enterprises; and Product Line C - mobile messaging, communication, and payment solutions. Geographically, the company operates in the Americas, Europe, Asia Pacific and Africa, and Israel. It earns maximum revenue from Europe.
Key Insights
Mind CTI (MNDO) Core Market Data and Business Metrics
Latest Closing Price
$1.33Market Cap
$27.29 MillionTotal Employees
84IPO Date
August 8, 2000Primary 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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