Pagaya Technologies PGYWW
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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
Pagaya Technologies (PGYWW) Business Model and Operations Summary
Pagaya Technologies Ltd is a financial technology company working to reshape the lending marketplace by using machine learning, data analytics, and sophisticated AI-driven credit and analysis technology. It was built to provide a comprehensive solution to enable the credit industry to deliver customers a positive experience while simultaneously enhancing the broader credit ecosystem. Its proprietary API seamlessly integrates into its next-gen infrastructure network of partners to deliver a premium customer user experience and greater access to credit. The company generates majority of its revenue from United States.
Key Insights
Pagaya Technologies (PGYWW) Core Market Data and Business Metrics
Latest Closing Price
$0.15Total Outstanding Shares
75.43 Million SharesTotal Employees
527IPO Date
June 23, 2022SIC Description
Finance ServicesPrimary Exchange
NASDAQHeadquarters
335 Madison Avenue 16th Floor, New York, NY, 10017
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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