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as 12-18-2024 1:43pm EST

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Stocks

Technology

Computer Software: Prepackaged Software

Nasdaq

Where Food Comes From Inc is a third-party food verification company. It offers food production audits and uses verification processes to ensure that claims made by food producers and processors are accurate. The company supports farmers, ranchers, vineyards, wineries, processors, retailers, distributors, trade associations, and restaurants with a wide variety of value-added services provided through its family of verifiers, including IMI Global, International Certification Services, Validus Verification Services, and others. The company operates in two segments that are verification and certification and Software Sales and Related Consulting. It generates the majority of its revenue from verification and certification.

More About Our WFCF ML Model...

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

To train our stocks WFCF 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 WFCF 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 WFCF 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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