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as of 01-07-2026 4:00pm EST

$4.90
+$0.06
+1.24%
Stocks Consumer Discretionary Business Services Nasdaq

PaySign Inc is a provider of prepaid card programs, comprehensive patient affordability offerings, digital banking services, and integrated payment processing designed for businesses, consumers, and government institutions. The Company creates customized payment solutions for clients across industries, including pharmaceutical, healthcare, hospitality, and retail. The company's revenues include fees generated from cardholder fees, interchange, card program management fees, transaction claims processing fees, and settlement income.

Frequently Asked Questions

Learn more about our PAYS ML prediction model

What parameters are used to train the PAYS ML model?

Our stocks PAYS ML model is trained using historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other technical metrics.

How often is the PAYS ML model updated?

We update our ML model weekly or biweekly (depending on market capitalization) using TensorFlow, typically over the weekend to ensure the most current predictions.

Why might the model accuracy vary?

Our current data provider offers limited historical data, which can impact accuracy. As we continue to gather more data and add additional indicators, we expect the model's accuracy to improve over time.

How can I contribute data to improve accuracy?

We greatly appreciate contributions! Please contact us at info@finquota.com to discuss how you can help improve our models.

Are shorter timeframe predictions available?

Yes, we offer predictions for strategy purposes with shorter intervals including 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes timeframes.

Should I use this for financial decisions?

Our ML model is designed for educational purposes only and should not be used as the sole basis for financial decisions. Always consult with a qualified financial advisor before making any investment decisions.

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