RedCloud RCT
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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
RedCloud (RCT) Business Model and Operations Summary
RedCloud Holdings PLC developed and operates the RedCloud Platform, which facilitates the trading of everyday consumer supplies of fast-moving consumer goods (FMCG) products across business supply chains. The Platform solves old problem of how to unlock and enable access of key purchase and sales data between brands, distributors and retailers in growth consumer markets. Its Platform has AI and machine learning capabilities that provide brands, distributors and retailers with trading and product insights and data to help make commercial decisions regarding their business operations. Geographically, Key revenue is generated from Nigeria.
Key Insights
RedCloud (RCT) Core Market Data and Business Metrics
Latest Closing Price
$1.73Market Cap
$74.30 MillionTotal Outstanding Shares
44.23 Million SharesIPO Date
March 21, 2025Primary 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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