Vasta Platform VSTA
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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
Vasta Platform (VSTA) Business Model and Operations Summary
Vasta Platform Ltd operates as an education company in Brazil, engaged in providing end-to-end educational and digital solutions that cater to all needs of private schools operating in the K-12 educational segment. Its business segments are Content and EdTech Platform, and Digital Platform. The Content and EdTech platform derives its results from educational content solutions through digital and printed content, including textbooks, learning systems and other complementary educational services. The Digital Platform enables private schools to aggregate multiple learning strategies and helps them to focus on education through the Business' physical and digital e-commerce platform and other digital services.
Key Insights
Vasta Platform (VSTA) Core Market Data and Business Metrics
Latest Closing Price
$4.19Market Cap
$334.48 MillionTotal Outstanding Shares
15.77 Million SharesTotal Employees
2,012IPO Date
July 31, 2020Primary 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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