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as 06-21-2024 4:00pm EST

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Stocks

Consumer Discretionary

Hotels/Resorts

Nasdaq

Penn Entertainment's origins date back to its 1972 racetrack opening in Pennsylvania. Today, Penn operates 43 properties across 20 states and 12 brands, including Hollywood Casino and Ameristar. Land-based casinos represented 89% of total sales in 2023; 11% was from the interactive segment, which includes sports, iGaming, and media revenue. The retail portfolio generates mid-30s EBITDAR margins and helps position the company to obtain licenses for the digital wagering markets. Additionally, Penn's media assets, theScore and ESPN (starting with its partnership launch in November 2023), provide access to sports betting/iGaming technology and clientele, helping it form a leading digital position.

More About Our PENN ML Model...

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

To train our stocks PENN 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 PENN 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 PENN 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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