AtlasClear ATCH
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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
AtlasClear (ATCH) Business Model and Operations Summary
AtlasClear Holdings Inc is a fintech company. Its goal is to build a cutting-edge technology-enabled financial services firm that would create a more efficient platform for trading, clearing, settlement, and banking of evolving and innovative financial products with a focus on financial services firms. It is a fintech-driven business-to-business platform that expects to power innovation in fintech, investing, and trading. The company believes it is positioned to provide a modern, mission-critical suite of solutions to its clients, enabling them to reduce their transaction costs and compete more effectively in their businesses.
Key Insights
AtlasClear (ATCH) Core Market Data and Business Metrics
Latest Closing Price
$0.2Market Cap
$3.24 MillionTotal Outstanding Shares
15.60 Million SharesIPO Date
February 12, 2024SIC Description
Finance ServicesPrimary Exchange
American Stock ExchangeHeadquarters
2203 Lois Ave., Ste. 814, Tampa, FL, 33607
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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