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as 06-20-2024 4:00pm EST

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Enerflex Ltd engineers, designs, manufactures and provides aftermarket support for equipment, systems, and turnkey facilities used to process and move natural gas from the wellhead to the pipeline. The company's focus is gas compression, where it offers a range of applications and gas inlet streams, from low-horsepower/low-pressure applications such as coal seam gas and solution gas vapor recovery units to high-horsepower, centralized field, or processing plant compression. Enerflex operates three business segments: North America, Latin America, Eastern Hemisphere. Each regional business segment has three main product lines: Engineered Systems, After‐market Service, and Energy Infrastructure. The North America segment earns the majority of the revenue.

More About Our EFXT ML Model...

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

To train our stocks EFXT 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 EFXT 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 EFXT 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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