Intrusion INTZ
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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
Intrusion (INTZ) Business Model and Operations Summary
Intrusion Inc is a cybersecurity company based in Plano, Texas. The group offers customers to access its threat intelligence database containing the historical data, known associations, and reputational behavior of Internet Protocol (IP) addresses. The company's product consists of On-Premise Network Protection, Cyber Threat Consulting, Cloud Network Security, and Endpoint Protection. Its solutions are INTRUSION Shield, INTRUSION TraceCop, and INTRUSION Savant. Its end-user customers include the U.S. federal government, state and local government entities, large and diversified conglomerates, and manufacturing entities.
Key Insights
Intrusion (INTZ) Core Market Data and Business Metrics
Latest Closing Price
$1.3Market Cap
$28.65 MillionTotal Outstanding Shares
19.90 Million SharesTotal Employees
50IPO Date
May 21, 1992SIC Description
Computer Communications EquipmentPrimary Exchange
NASDAQHeadquarters
101 East Park Blvd, Suite 1200, Plano, TX, 75074
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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