Genius Sports GENI
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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
Genius Sports (GENI) Business Model and Operations Summary
Genius Sports Ltd is a B2B provider of scalable, technology-led products and services to the sports, sports betting, and sports media industries. Its services are organized into three key product areas including Sports Technology and Services; Betting Technology, Content and Services; and Media Technology, Content and Services. All of its products are powered by proprietary technology and robust data infrastructure. It generates maximum revenue from the Betting Technology, Content and Services division. Geographically, the company derives a majority of its revenue from Europe.
Key Insights
Genius Sports (GENI) Core Market Data and Business Metrics
Latest Closing Price
$9.59Market Cap
$2.36 BillionTotal Outstanding Shares
239.82 Million SharesTotal Employees
2,400IPO Date
April 21, 2021Primary Exchange
New York Stock Exchange
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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