MLOps Systems: Feature Engineering: Moving Average Convergence Divergence (MACD) in Python
中文摘要
本文探讨了如何在 Python 的 MLOps 系统中使用移动平均收敛散度 (MACD) 进行特征工程，以压缩市场行为数据。
English Summary
This article explains how to implement Moving Average Convergence Divergence (MACD) for feature engineering in Python-based MLOps systems to effectively compress market behavior data.
原文节选
Moving Average Convergence Divergence (MACD) is popular because it compresses multiple pieces of market behavior into a compact set of… Continue reading on Medium »