Local Bounti LOCL
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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
Local Bounti (LOCL) Business Model and Operations Summary
Local Bounti Corp is a controlled environment agriculture company. Its business model is based on building local facilities, operated by local teams, to deliver fresh and quality produce to local communities while maintaining a limited carbon footprint. Using proprietary technology to grow leafy greens and herbs in smart greenhouses with a cultivation process that uses less water and land than conventional agriculture, free from herbicides or pesticides, it delivers products that have a longer shelf life, and are good in taste.
Key Insights
Local Bounti (LOCL) Core Market Data and Business Metrics
Latest Closing Price
$2.105Market Cap
$22.27 MillionTotal Outstanding Shares
10.92 Million SharesTotal Employees
333IPO Date
November 22, 2021Primary Exchange
New York Stock ExchangeHeadquarters
490 Foley Lane, Hamilton, MT, 59840
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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