Google Just Open-Sourced a Time-Series AI That Runs Locally (And It's Incredible)

Google just open-sourced a time-series AI that runs locally. And it's incredible. I just ran it on 365 days of Ethereum prices. Here's what happened: → Mean forecast: $2,154 → Bear case (10%): $1,803 → Bull case (90%): $2,671 But the real story? The tech behind it. TimesFM by Google Research GitHub Repository This is a 200M parameter foundation model for time-series forecasting. Not a niche crypto model—trained on massive, diverse time-series data across domains. Why I'm Genuinely Impressed ✅ Zero-shot forecasting No training required. Just load the model, feed your data, get predictions. It's the GPT moment for time-series. ✅ Runs fully local Download once (~800MB), run forever. Your financial data never leaves your machine. No API keys. No rate limits. No monthly fees. ✅ Ridiculously fast 30-day forecast on 365 data points? 30 seconds on my Mac Studio. ✅ Quantile predictions out of the box Not just point estimates—you get the full uncertainty distribution (10th, 50th, 90th percentile