SFNC
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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 (SFNC) Business Model and Operations Summary
Simmons First National Corporation operates as the holding company for Simmons Bank that provides banking and other financial products and services to individuals and businesses. It offers checking, savings, and time deposits; consumer, real estate, and commercial loans; agricultural finance, equipment, and small business administration lending; trust and fiduciary services; credit cards; investment management products; insurance products; and securities and investment services. The company also provides ATM services; Internet and mobile banking platforms; overdraft facilities; and safe deposit boxes. As of January 27, 2022, the company operated through 199 financial centers in Arkansas, Missouri, Tennessee, Texas, Oklahoma, and Kansas. Simmons First National Corporation was founded in 1903 and is headquartered in Pine Bluff, Arkansas.
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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