ONDS
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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
undefined (ONDS) Business Model and Operations Summary
Ondas Holdings Inc., through its subsidiaries, provides private wireless, drone, and automated data solutions. The company operates in two segments, Ondas Networks and American Robotics. The company designs, develops, manufactures, sells, and supports FullMAX, a software defined radio (SDR) platform for wide-area broadband networks. Its FullMAX SDR platform enables secure and reliable industrial-grade connectivity for truly mission-critical applications. The company also offers Scout Drone, an AI-powered drone with imaging payloads; the ScoutBase, a ruggedized base station for housing, charging, data processing, and cloud transfer; and ScoutView, an American robotics analytics and user interface software package. It serves users in rail, energy, mining, agriculture, and critical infrastructure markets in the United States and internationally. The company is headquartered in Waltham, Massachusetts.
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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