SPPL
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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
undefined (SPPL) Business Model and Operations Summary
Simpple Ltd. operates as an advanced technology solution provider in Singapore. The company develops SIMPPLE Ecosystem, an ecosystem solution that automates workflow and the workforce in areas, such as building maintenance, security surveillance, and janitorial services. Its SIMPPLE Ecosystem includes SIMPPLE Software, a software platform comprising modules related to quality management, workflow management, and people management; SIMPPLE PLUS, a robotic solution in cleaning and security domains, as well as Internet-of-Things devices and peripherals; and SIMPPLE.AI, a next generation facilities management autonomic intelligence engine that automates workflow processes in a built environment setting. The company also offers professional services, such as set-up and installation, and systems consultation. It serves facility owners and managers. The company was founded in 2016 and is headquartered in Singapore. Simpple Ltd. is a subsidiary of Ifsc Founders Pte. Ltd.
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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