Blog
Insights, tutorials, and updates from the Superset team.
Beyond Estimation: Achieving 3.67-Cycle Precision on NASA's Lithium-Ion Benchmarks
We validated our battery degradation model against NASA's B0005 dataset, achieving 92.5% accuracy with an average error of just 3.67 cycles on completely blind test data.
Beyond Consensus: Finding Macro Alpha with High-Precision Retail Sales Forecasts
How our ML engine delivers a 0.38% Mean Error on US Retail Sales, giving traders a critical edge before the print.
The 90-Day Edge: Trading Energy and Agriculture with Institutional-Grade Weather Intelligence
How our ML engine leverages ERA5 data to predict temperatures 3 months out with 1.51°C precision.