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as 06-21-2024 10:31am EST

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Cadre Holdings Inc is engaged in the design and manufacture of a diversified product portfolio of critical safety and survivability equipment to protect first responders, federal agencies, outdoor recreation, and personal protection markets. The Company's equipment provides critical protection to allow its users to safely and securely perform their duties and protect those around them in hazardous or life-threatening situations. Its operations are comprised of two reportable segments: Products and Distribution.

More About Our CDRE ML Model...

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

To train our stocks CDRE 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 CDRE 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 CDRE 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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