Label (ML) vs Supervised Learning

A label in cryptocurrency machine learning is the ground truth outcome (price increased/decreased, profitable/unprofitable trade) paired with historical technical indicator data during model training.

A machine learning approach where algorithms learn patterns from labeled training data containing both inputs and correct outputs, enabling prediction of outputs from new unseen inputs after training completes.