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as of 12-15-2025 10:49am EST

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Microvision Inc is engaged in developing a lidar sensor to be used in automotive safety and autonomous driving applications. Its lidar sensor uses laser beam scanning (LBS) technology, which is based on systems that include micro-electrical mechanical systems (MEMS), laser diodes, opto-mechanics, electronics, algorithms, and software. The company has also developed solutions for Augmented Reality, Interactive Displays, and Consumer Lidars.

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What parameters are used to train the MVIS ML model?

Our stocks MVIS 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 MVIS 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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