Greenidge Generation GREE
$
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
Greenidge Generation (GREE) Business Model and Operations Summary
Greenidge Generation Holdings Inc owns and operates a vertically integrated cryptocurrency data center. Company operates in three segments: Crypto Mining, Datacenter Hosting, Power and Capacity. The company owns and operates facilities at two locations: the Torrey, New York, and Spartanburg, South Carolina. The cryptocurrency data center operations generate revenue in the form of bitcoin by earning bitcoin as rewards and transaction fees for supporting the bitcoin network with application-specific integrated circuit computers (ASICs or miners) owned or leased by the company.
Key Insights
Greenidge Generation (GREE) Core Market Data and Business Metrics
Latest Closing Price
$1.4Market Cap
$25.63 MillionTotal Outstanding Shares
12.71 Million SharesTotal Employees
35IPO Date
September 15, 2021SIC Description
Finance ServicesPrimary Exchange
NASDAQHeadquarters
1159 Pittsford-victor Road, Pittsford, NY, 14534
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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