Feature Engineering vs Logistic Regression

Feature engineering for cryptocurrency trading is creating, transforming, and selecting technical indicators and market variables that neural networks and machine learning models use to predict price direction.

Logistic regression is a supervised learning algorithm that predicts binary outcomes (price up/down, profitable/unprofitable) by modeling probability as a function of input features through the logistic function.