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as 06-14-2024 4:00pm EST

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Tri-Continental Corp is a United States-based closed-end management investment company. It invests to produce future growth of both capital and income while providing reasonable current income. The fund is divided into two equal segments namely, the equity segment uses quantitative models to select individual stocks whereas the Flexible capital income segment invests across a company's investable capital structure, including stocks, bonds, and convertible securities. The Fund invests in a range of sectors, which include consumer discretionary, consumer staples, energy, financials, healthcare, industrials, information technology, industrials, materials, real estate, telecommunication services, utilities, aerospace and defense, banking, chemicals, and others.

More About Our TY ML Model...

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

To train our stocks TY 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 TY 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 TY 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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