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as of 11-28-2025 12:41pm EST

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Stocks Health Care Biotechnology: Pharmaceutical Preparations Nasdaq

Applied Therapeutics Inc is a clinical-stage biopharmaceutical company, developing a pipeline of novel product candidates against validated molecular targets in indications of high unmet medical need. The company's drug compounds pipeline includes AT-007 which is a novel central nervous system, penetrant ARI that it is developing for the treatment of rare metabolic diseases, including Galactosemia and Sorbitol Dehydrogenase (SORD) Deficiency, AT-001 for the treatment of diabetic cardiomyopathy, and AT-003 for the treatment of diabetic retinopathy.

Frequently Asked Questions

Learn more about our APLT ML prediction model

What parameters are used to train the APLT ML model?

Our stocks APLT 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 APLT 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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