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as 06-20-2024 4:00pm EST

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Stocks

Consumer Discretionary

Engineering & Construction

Nasdaq

Limbach Holdings Inc is a commercial specialty contractor in the fields of heating, ventilation, air conditioning, plumbing, electrical, and building controls for the design and construction of new and renovated buildings, maintenance services, energy retrofits, and equipment upgrades. It operates in two segments namely General Contractor Relationships (GCR) and Owner Direct Relationships (ODR). The company generates maximum revenue from the ODR segment.

More About Our LMB ML Model...

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

To train our stocks LMB 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 LMB 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 LMB 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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