H2O.ai has released TimeH2O-v1, an open-weight time-series foundation model that ranks first of 32 models on the fev-bench leaderboard, with a 91.9% win rate and a skill score of 50.8 across 100 forecasting tasks. Timestral-209M follows at a 89.6% win rate and t0-gamma at 88.1%, and the model's forecast error is 50.8% lower than the seasonal-naive baseline's. The model works zero-shot, reading each series' history without training on any fev-bench dataset, and the company says these results were as of October 23, 2026. TimeH2O-v1 has 108 million parameters and handles univariate series as well as series with covariates such as price, promotions, or weather. Organizations can fine-tune it on their own data and infrastructure for greater accuracy in their domain.
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Related tickers and likely impact
AMZN
• NeutralAmazon
Relevance: low
| Market | US stocks |
|---|---|
| Sector | Consumer Discretionary |
| Industry | Broadline Retail |
| Market cap | $2.7T |
| Close on 10/23/2026 | 248.04 |
| Change that session | -0.93% |
Impact is scored by AI from the headline and may be wrong. It is not investment advice.
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