Good Times Restaurants GTIM
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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
Good Times Restaurants (GTIM) Business Model and Operations Summary
Good Times Restaurants Inc is engaged in developing, owning, operating, and franchising hamburger-oriented drive-through restaurants. It operates through two segments: Good Times Burgers and Frozen Custard restaurants which operate in the quick-service drive-through dining industry; and Bad Daddy's Burger Bar restaurants which operate in the full-service upscale casual dining industry. The company generates maximum revenue from the Bad Daddy's Burger Bar restaurants segment. Its menu categories include burgers; chicken; frozen custard; slides and drinks.
Key Insights
Good Times Restaurants (GTIM) Core Market Data and Business Metrics
Latest Closing Price
$1.61Market Cap
$16.73 MillionTotal Outstanding Shares
10.59 Million SharesTotal Employees
2,110IPO Date
June 16, 1992SIC Description
Retail-eating PlacesPrimary Exchange
NASDAQHeadquarters
651 Corporate Circle, Golden, CO, 80401
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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