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as 06-21-2024 9:37am EST

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Stocks

Finance

Investment Managers

Nasdaq

Evercore is an independent investment bank that derives the majority of its revenue from financial advisory, including merger, acquisition, and restructuring advisory. It also has institutional equities trading, equity underwriting, and investment management businesses that account for around 20% of net revenue. The company was founded in 1996 and went public in 2006. Evercore had approximately 2,200 employees at the end of 2023, and about 75% of its revenue is derived from the United States.

More About Our EVR ML Model...

What kind of parameters do you use to train EVR stocks ML model?

To train our stocks EVR ML model, we use historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other metrics.

How often do you update EVR ML model?

We update our ML model either weekly or biweekly, depending on the market capitalization of the stocks, using TensorFlow, typically over the weekend.

Why is the accuracy of your EVR model low?

Unfortunately, our current data provider offers limited historical data, which impacts the accuracy of our ML model. However, as we continue to gather more data over time and add more indicators, we expect the accuracy of our model to improve.

How can I provide and share more data with you to increase your ML model accuracy?

We would greatly appreciate your contribution. Please send an email to [email protected]

Do you offer an ML model for shorter time periods, such as 5 minutes or 15 minutes?

Yes, we offer it for strategy purposes only, with intervals: 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes etc.

Can I rely on your ML model to make financial decisions regarding buying or selling stocks, or is it only intended for learning purposes?

Our ML model is primarily designed for educational purposes and is not intended to provide financial advice. We strongly recommend consulting with a financial advisor before making any buying or selling decisions.

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