PicoCELA PCLA
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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
PicoCELA (PCLA) Business Model and Operations Summary
PicoCELA Inc specializes in manufacturing, installing, and servicing enterprise wireless mesh solutions. The company generates revenue from two main sources: product equipment sales, and Software as a Service (SaaS) and maintenance services. The company develops the PCWL series of mesh Wi-Fi access points, which utilize its proprietary PicoCELA Backhaul Engine (PBE) technology to enable wireless communication. The company outsources manufacturing and sells these devices directly to customers through distributors. Additionally, the company offers a cloud portal service in a SaaS model, allowing users to monitor connectivity and traffic at their access points. This platform also supports the installation of proprietary edge-computing software into the devices.
Key Insights
PicoCELA (PCLA) Core Market Data and Business Metrics
Latest Closing Price
$0.5849Market Cap
$18.92 MillionTotal Outstanding Shares
33.32 Million SharesIPO Date
January 16, 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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