TimesFM: Zero-Shot Time-Series Forecasting Without Training Data

TimesFM is a 200M parameter foundation model that performs zero-shot time-series forecasting across diverse domains without training on your specific data. Created by Google Research, it solves the cold start problem by leveraging patterns learned from 100 billion time points.