Tuya TUYA
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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
Tuya (TUYA) Business Model and Operations Summary
Tuya Inc is an IoT cloud development platform with a mission to build an IoT developer ecosystem and enable everything to be smart. The Company has pioneered a purpose-built IoT cloud development platform that delivers a full suite of offerings, including platform-as-a-service (PaaS) and Software-as-a-service (SaaS), to businesses and developers. Through its IoT cloud development platform, it has enabled developers to activate a vibrant IoT ecosystem of brands, OEMs, partners, and end users to engage and communicate through a broad range of smart devices. The company's revenue is derived from the PRC.
Key Insights
Tuya (TUYA) Core Market Data and Business Metrics
Latest Closing Price
$2.42Market Cap
$1.60 BillionTotal Outstanding Shares
537.21 Million SharesTotal Employees
1,435IPO Date
March 18, 2021Primary Exchange
New York Stock Exchange
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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