Beginner Tutorial for Momentum Trading Algorithms

This beginner-oriented guide explains momentum trading algorithms, where assets with recent upward trends are expected to continue rising. The author walks through building a basic stock momentum algorithm using Python and libraries like yfinance, pandas, and numpy, emphasizing proper data handling and avoiding survivorship bias. Key concepts include trend identification, asset ranking, portfolio rotation, and measuring momentum via rate of change.