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as of 12-05-2025 11:21am EST

$2.97
+$0.02
+0.85%
Stocks Finance Investment Managers Nasdaq

abrdn Global Income Fund Inc is a closed-end, non-diversified management investment company. The Fund's principal investment objective is to provide high current income by investing predominantly in fixed-income securities. As a secondary investment objective, the Fund seeks capital appreciation, but only when consistent with its principal investment objective. It invests in Government Bonds & Corporate Bonds, and its investments are divided into three categories, Developed Markets, Investment Grade Developing Markets and Sub-Investment Grade Developing Markets.

Frequently Asked Questions

Learn more about our FCO ML prediction model

What parameters are used to train the FCO ML model?

Our stocks FCO ML model is trained using historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other technical metrics.

How often is the FCO ML model updated?

We update our ML model weekly or biweekly (depending on market capitalization) using TensorFlow, typically over the weekend to ensure the most current predictions.

Why might the model accuracy vary?

Our current data provider offers limited historical data, which can impact accuracy. As we continue to gather more data and add additional indicators, we expect the model's accuracy to improve over time.

How can I contribute data to improve accuracy?

We greatly appreciate contributions! Please contact us at info@finquota.com to discuss how you can help improve our models.

Are shorter timeframe predictions available?

Yes, we offer predictions for strategy purposes with shorter intervals including 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes timeframes.

Should I use this for financial decisions?

Our ML model is designed for educational purposes only and should not be used as the sole basis for financial decisions. Always consult with a qualified financial advisor before making any investment decisions.

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