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as 12-18-2024 4:00pm EST

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Oxford Lane Capital Corp is a non-diversified closed-end management investment company. The fund's investment objective is to maximize its portfolio's risk-adjusted total return over its investment horizon. Its current focus is to seek that return by investing in equity and junior tranches of CLO(collateralized loan obligation) vehicles, which are collateralized by a diverse portfolio of senior loans, and which generally have little to no exposure to real estate loans, mortgage loans or pools of consumer-based debt, such as credit card receivables or auto loans. Its investment plan also includes investing in warehouse facilities, which are financing structures intended to aggregate senior loans that may be used to form the basis of a CLO vehicle.

More About Our OXLCN ML Model...

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

To train our stocks OXLCN 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 OXLCN 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 OXLCN 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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