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as of 12-15-2025 3:55pm EST

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Stocks Technology Computer Software: Programming Data Processing Nasdaq

TrueCar Inc is a data-driven online platform operating on common technology infrastructure, powered by proprietary data and analytics. It also customizes and operates its platform for affinity group marketing partners, including financial institutions like PenFed and American Express; membership-based organizations like Consumer Reports, AARP, Sam's Club, and AAA; and employee buying programs for large enterprises such as IBM and Walmart. The Company has one operating segment, with three distinct service offerings: Dealer products and services, OEM incentives, and other.

Frequently Asked Questions

Learn more about our TRUE ML prediction model

What parameters are used to train the TRUE ML model?

Our stocks TRUE 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 TRUE 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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