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as 03-28-2025 4:00pm EST

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Stocks

Consumer Discretionary

Building Products

Nasdaq

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.

More About Our PCLA ML Model...

What kind of parameters do you use to train PCLA stocks ML model?

To train our stocks PCLA ML model, we use historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other metrics.

How often do you update PCLA ML model?

We update our ML model either weekly or biweekly, depending on the market capitalization of the stocks, using TensorFlow, typically over the weekend.

Why is the accuracy of your PCLA model low?

Unfortunately, our current data provider offers limited historical data, which impacts the accuracy of our ML model. However, as we continue to gather more data over time and add more indicators, we expect the accuracy of our model to improve.

How can I provide and share more data with you to increase your ML model accuracy?

We would greatly appreciate your contribution. Please send an email to [email protected]

Do you offer an ML model for shorter time periods, such as 5 minutes or 15 minutes?

Yes, we offer it for strategy purposes only, with intervals: 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes etc.

Can I rely on your ML model to make financial decisions regarding buying or selling stocks, or is it only intended for learning purposes?

Our ML model is primarily designed for educational purposes and is not intended to provide financial advice. We strongly recommend consulting with a financial advisor before making any buying or selling decisions.

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