Lakeland Financial LKFN
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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
Lakeland Financial (LKFN) Business Model and Operations Summary
Lakeland Financial Corp is a bank holding company. It provides commercial, retail, wealth advisory, and investment management services. It offers a broad line of products and services throughout its Northern and Central Indiana markets. The company provides commercial and consumer banking services, as well as trust and wealth management, brokerage, and treasury management commercial services. It serves a wide variety of industries including, among others, commercial real estate, manufacturing, agriculture, construction, retail, wholesale, finance and insurance, accommodation and food services, and healthcare.
Key Insights
Lakeland Financial (LKFN) Core Market Data and Business Metrics
Latest Closing Price
$59.87Market Cap
$1.55 BillionTotal Outstanding Shares
25.56 Million SharesTotal Employees
683IPO Date
February 1, 1995SIC Description
State Commercial BanksPrimary Exchange
NASDAQHeadquarters
202 E Center St, Warsaw, IN, 46581-1387
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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