Airship AI AISPW
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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
Airship AI (AISPW) Business Model and Operations Summary
Airship AI Holdings Inc is a robust AI-driven data management platform that solves complex data challenges for large institutions operating in dynamic and mission-critical environments with rapidly increasing volumes of data being ingested from a similarly rapidly growing number of data sources. Its primary offerings include Outpost AI, Acropolis, and Airship Command. Its offerings allow customers to manage their data across the full data lifecycle, when and where need it, using a secure permission-based architecture.
Key Insights
Airship AI (AISPW) Core Market Data and Business Metrics
Latest Closing Price
$1.6101Total Outstanding Shares
30.59 Million SharesTotal Employees
52IPO Date
December 22, 2023SIC Description
Services-prepackaged SoftwarePrimary Exchange
NASDAQHeadquarters
8210 154th Ave Ne, Redmond, WA, 98052
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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