Weather Forecasting

European Atmospheric Data for Quant Trading

1 / 5

European atmospheric data covering wind speed, temperature, solar irradiance, precipitation, and pressure drives signals for TTF gas, EUA carbon, spark spreads, and intraday power markets.

2 / 5

Forecast accuracy relies on RMSE for deterministic skill and CRPS for probabilistic skill, both critical for day-ahead positioning and tail-risk strategies.

3 / 5

Legacy NWP models like ECMWF deliver high accuracy at high compute cost and limited update frequency, while many AI models cut cost yet often lack production-grade hindcasts and APIs.

4 / 5

Jua’s EPT-2 and EPT-2e models outperform ECMWF HRES and the 50-member ENS on RMSE and CRPS across key variables and lead times, with updates up to 24 times per day and native hindcast archives for backtesting.

5 / 5

Run your first head-to-head comparison against your current provider and complete your first backtest in under five minutes.

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Jua's AI weather models outperform ECMWF on key variables for TTF, EUA, and power markets. Get production-ready data with 24x daily updates.

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