One model is not enough anymore.

In trading, we often hear about:

Supervised learning - models trained on labeled data (predicting outcomes)

Unsupervised learning - finding hidden patterns without predefined labels

But markets are too complex for just one approach.

That’s where hybrid models come in.

They combine prediction with pattern discovery - structure with adaptability.

💡 The real edge isn’t choosing one method.

It’s knowing how to combine them.