as 12-18-2024 9:37am EST
Guggenheim Active Allocation Fund is a diversified closed-end management investment company. The fund's investment objective is to maximize total return through a combination of current income and capital appreciation. The company invests in both fixed-income and other debt instruments selected from a variety of sectors and credit qualities, and may also invest in equities. It uses tactical asset allocation models to determine the optimal allocation of its assets between fixed-income and equity securities. A majority of its investments are made in corporate bonds and the rest in senior floating rate interests, asset-backed securities, preferred stocks, and other securities.
More About Our GUG ML Model...
What kind of parameters do you use to train GUG stocks ML model?
To train our stocks GUG 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 GUG 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 GUG 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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Disclaimer
Our GUG ML model is developed exclusively for educational purposes. Any information presented on this page regarding the '"GUG Forecast & Prediction for December 18, 2024 Guggenheim Active Allocation Fund of Beneficial Interest" should not be considered as financial advice or as a recommendation to buy or sell stocks. It is provided strictly for educational purposes. Investing in stocks involves significant risks, and decisions should be made only after careful consideration and consultation with a qualified financial advisor.