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as of 12-19-2025 3:39pm EST

$12.89
+$0.00
+0.04%
Stocks Finance Investment Managers Nasdaq

PIMCO Corporate & Income Opportunity Fds operates as a closed-end management investment company. It seeks to maximize total return through a combination of current income and capital appreciation. The fund invests a majority of the total assets in a combination of corporate debt obligations of varying maturities, other corporate income-producing securities, and income-producing securities of non-corporate issuers, such as U.S. Government securities, municipal securities, and mortgage-backed and other asset-backed securities issued on a public or private basis.

Frequently Asked Questions

Learn more about our PTY ML prediction model

What parameters are used to train the PTY ML model?

Our stocks PTY 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 PTY 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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