OMF
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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 (OMF) Business Model and Operations Summary
OneMain Holdings, Inc., a financial service holding company, engages in the consumer finance and insurance businesses. The company originates, underwrites, and services personal loans secured by automobiles, other titled collateral, or unsecured. The company also offers credit cards and insurance products comprising life, disability, and involuntary unemployment insurance; optional non-credit insurance; guaranteed asset protection coverage as a waiver product or insurance; and membership plans. It operates through a network of approximately 1,400 branch offices in 44 states in the United States, as well as through its website onemainfinancial.com. The company was formerly known as Springleaf Holdings, Inc. and changed its name to OneMain Holdings, Inc. in November 2015. OneMain Holdings, Inc. was founded in 1912 and is based in Evansville, Indiana.
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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