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as of 03-31-2026 3:44pm EST

$42.54
+$2.33
+5.79%
Stocks Finance Investment Managers Nasdaq

Lazard Inc is a financial advisory and asset management firm with operations in North and South America, Europe, the Middle East, Asia, and Australia. Lazard provides advice on mergers and acquisitions, capital markets and capital solutions, restructuring and liability management, geopolitics, and other strategic matters, as well as asset management and investment solutions to institutions, corporations, governments, partnerships, family offices, and high net worth individuals. Geographically, the company earns key revenue in the Americas, EMEA then Asia-Pacific.

Frequently Asked Questions

Learn more about our LAZ ML prediction model

What parameters are used to train the LAZ ML model?

Our stocks LAZ 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 LAZ 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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