Safe Pro Group SPAI
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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
Safe Pro Group (SPAI) Business Model and Operations Summary
Safe Pro Group Inc operates to acquire security and protection products. Its emphasis is on the development of a cloud-based ecosystem for analyzing drone imagery and data utilizing proprietary artificial intelligence (AI), machine learning, deep learning, and applied computer vision software for hyper-scalable processing, analysis, and reporting. The company operated in three reportable business segments which consisted of: the business of Safe-Pro USA, the business of Airborne Response, and the business of Safe Pro AI. Key revenue is generated from Airborne Response.
Key Insights
Safe Pro Group (SPAI) Core Market Data and Business Metrics
Latest Closing Price
$2.6239Market Cap
$41.27 MillionTotal Outstanding Shares
15.17 Million SharesTotal Employees
13IPO Date
August 28, 2024SIC Description
Orthopedic, Prosthetic & Surgical Appliances & SuppliesPrimary Exchange
NASDAQHeadquarters
18305 Biscayne Blvd.,, Aventura, FL, 33160
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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