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as 06-21-2024 4:00pm EST

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Stocks

Consumer Discretionary

RETAIL: Building Materials

Nasdaq

Tractor Supply is the largest operator of retail farm and ranch stores in the United States. The company targets recreational farmers and ranchers and has little exposure to commercial and industrial farm operations. Currently, the company operates 2,233 of its namesake banners in 49 states, including 81 Orscheln Farm and Home stores (rebranded as Tractor Supply), along with 202 Petsense by Tractor Supply stores. Stores are generally concentrated in rural communities, as opposed to urban and suburban areas. In fiscal 2023, revenue consisted primarily of livestock, equine & agriculture (27%), companion animal (25%), and seasonal & recreation (22%).

More About Our TSCO ML Model...

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

To train our stocks TSCO 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 TSCO 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 TSCO 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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