Amesite AMST
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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
Amesite (AMST) Business Model and Operations Summary
Amesite Inc is an artificial intelligence-driven platform and course designer that rapidly provides customized, high-performance and scalable online products for schools and businesses. The company helps educational institutions and businesses improve learning as their technology partner, delivering a disruptive technology driven by AI and offers a constellation of services that help partners implement new programs, and improve existing ones. Its customers are Enterprises, universities, and K-12 schools.
Key Insights
Amesite (AMST) Core Market Data and Business Metrics
Latest Closing Price
$2.74Market Cap
$13.58 MillionTotal Outstanding Shares
4.57 Million SharesTotal Employees
11IPO Date
September 25, 2020SIC Description
Services-prepackaged SoftwarePrimary Exchange
NASDAQHeadquarters
205 East Washington Street, Ann Arbor, MI, 48104
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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