Lavoro LVROW
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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.
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About
Lavoro (LVROW) Business Model and Operations Summary
Lavoro Ltd operates in the agricultural inputs retail market, with operations spread across Brazil and Colombia, and an emergent agricultural input trading company in Uruguay. The reportable segments of the company include the Brazil Ag Retail, which comprises companies dedicated to the distribution of agricultural inputs such as crop protection, seeds, fertilizers and specialty products, in Brazil; Latam Ag Retail, which includes companies dedicated to the distribution of agricultural inputs outside Brazil (predominantly in Colombia); and the Crop Care. A substantial part of the company's overall revenue is generated from its Brazil Ag Retail segment.
Key Insights
Lavoro (LVROW) Core Market Data and Business Metrics
Latest Closing Price
$0.0779Total Outstanding Shares
116.61 Million SharesTotal Employees
3,767IPO Date
March 1, 2023Primary Exchange
NASDAQ
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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