Borealis Foods BRLS
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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
Borealis Foods (BRLS) Business Model and Operations Summary
Borealis Foods Inc is a food technology company that has developed high-quality, affordable, sustainable, and nutritious ready-to-eat meals. It is a mission-driven company committed to utilizing its products to help solve national and global food security and nutrition challenges. Its commitment to nutrition, affordability, and sustainability reflects its goal of positively impacting both human life and the planet. Through the development and launch of its ready-made ramen, featuring 20 grams of complete plant-based protein per serving, Borealis is developing advanced solutions to address global food challenges.
Key Insights
Borealis Foods (BRLS) Core Market Data and Business Metrics
Latest Closing Price
$3.6278Market Cap
$68.64 MillionTotal Outstanding Shares
21.38 Million SharesTotal Employees
147IPO Date
February 8, 2024SIC Description
Food And Kindred ProductsPrimary Exchange
NASDAQHeadquarters
1540 Cornwall Rd. #104, Oakville, A6, L6J 7W5
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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