Sadot Group SDOT
$
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
Sadot Group (SDOT) Business Model and Operations Summary
Sadot Group Inc operates in the food supply chain sector, connecting producers and consumers across the globe, delivering agri-commodities from producing geographies such as the Americas, Africa, and the Black Sea to consumer markets in Southeast Asia, China and the Middle East/North Africa (MENA) region. Its reportable segment includes Sadot food service and Sadot agri-foods. The key revenue is coming from the Sadot agri-foods segment which engaged in farming, commodity trading, and shipping of food and feed.
Key Insights
Sadot Group (SDOT) Core Market Data and Business Metrics
Latest Closing Price
$1.13Market Cap
$7.64 MillionTotal Outstanding Shares
6.21 Million SharesIPO Date
February 13, 2020SIC Description
Retail-eating & Drinking PlacesPrimary Exchange
NASDAQHeadquarters
295 E. Renfro Street, Burleson, TX, 76028
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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