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as 12-18-2024 1:39pm EST

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Nasdaq

LQR House Inc intends to become the full-service digital marketing and brand development face of the alcoholic beverage space. It also intends to integrate the supply, sales, and marketing facets of the alcoholic beverage space into one easy-to-use platform and become the one-stop shop for everything related to alcohol. The company's primary business includes the development of premium limited-batch spirit brands, establishing an exclusive wine club, and marketing internal and external brands through an exclusive agreement with a United States-based e-commerce portal. It believes that the marketing and brand management services it provides to its wholly owned and third-party clients will increase brand recognition thereof, and drive sales thereof through its e-commerce platform partner.

More About Our LQR ML Model...

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

To train our stocks LQR 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 LQR 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 LQR 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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