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as of 08-14-2026 4:00pm EST

$12.34
+$0.06
+0.53%
Stocks Consumer Discretionary Auto Manufacturing Nasdaq

Li Auto is one of China's leading new energy vehicle manufacturers. Founded in 2015, the company designs, develops, manufactures, and sells premium smart NEVs with a particular focus on family size premium SUVs and MPVs. Li Auto started volume production of its first model—the Li One, an SUV that is a premium plug-in electric vehicle- in November 2019. Besides PHEVs, its product portfolio now extends to EVs that are fully battery-powered, reaching a wide audience. It has sold over 400,000 NEVs in 2025, accounting for about 3% of China's passenger NEV market.

Frequently Asked Questions

Learn more about our LI ML prediction model

What parameters are used to train the LI ML model?

Our stocks LI 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 LI 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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