EVI
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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 (EVI) Business Model and Operations Summary
EVI Industries, Inc., through its subsidiaries, distributes, sells, rents, and leases commercial, industrial, and vended laundry and dry cleaning equipment, and steam and hot water boilers in the United States, Canada, the Caribbean, Latin America, and Asia. The company sells and/or leases its customers commercial laundry equipment specializing in washing, drying, finishing, material handling, water heating, power generation, and water reuse applications. It also supplies related replacement parts and accessories; and provides installation, maintenance, and repair services to government, institutional, industrial, commercial, and retail customers. The company was formerly known as EnviroStar, Inc. and changed its name to EVI Industries, Inc. in December 2018. EVI Industries, Inc. was founded in 1959 and is based in Miami, Florida.
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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