SoundHound AI SOUN
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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
SoundHound AI (SOUN) Business Model and Operations Summary
SoundHound AI, Inc. develops independent voice artificial intelligence (AI) platform that enables businesses across industries to deliver high-quality conversational experiences to their customers. Its products include Houndify platform that offers a suite of Houndify tools to help brands build conversational voice assistants, such as automatic speech recognition, natural language understanding, wake words, custom domains, text-to-speech, and embedded voice solutions The company is headquartered in Santa Clara, California.
Key Insights
SoundHound AI (SOUN) Core Market Data and Business Metrics
Latest Closing Price
$10.11Market Cap
$4.47 BillionAverage Trade Volume
42,748,623 SharesTotal Outstanding Shares
369.20 Million SharesCEO
Dr. Keyvan MohajerTotal Employees
842IPO Date
April 28, 2022SIC Description
Services-prepackaged SoftwarePrimary Exchange
NASDAQHeadquarters
2093 Philadelphia Pike #1968, Claymont, DE, 19703
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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