Flushing Financial FFIC
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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
Flushing Financial (FFIC) Business Model and Operations Summary
Flushing Financial Corp operates as a bank holding company, which is engaged in the provision of banking and financial services. It provides Personal, Business, lending, Government banking, and Card services. Its principal business is attracting retail deposits from the general public and investing those deposits together with funds generated from ongoing operations and borrowings, in originations and purchases of multi-family residential properties, commercial business loans, commercial real estate mortgage loans, construction loans, small business administration loans, and other small business loans.
Key Insights
Flushing Financial (FFIC) Core Market Data and Business Metrics
Latest Closing Price
$12.03Market Cap
$415.12 MillionTotal Outstanding Shares
33.78 Million SharesTotal Employees
588IPO Date
November 21, 1995SIC Description
State Commercial BanksPrimary Exchange
NASDAQHeadquarters
220 Rxr Plaza, Uniondale, NY, 11556
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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