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as 11-21-2024 4:00pm EST

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Stocks

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Trusts Except Educational Religious and Charitable

Nasdaq

Gabelli Multimedia Trust Inc is a non-diversified closed-end management investment company. Its investment objective is the long-term growth of capital with income as a secondary objective. The fund invests majority of its assets, under normal market conditions, in common stock and other securities, including convertible securities, preferred stock, options, and warrants of companies in the telecommunications, media, publishing, and entertainment industries.

More About Our GGT ML Model...

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

To train our stocks GGT 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 GGT 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 GGT 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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