Auditable weather-impact signals for trading and risk
Turn raw climate and forecast data into deterministic, backtested indices. Transparent formulas, uncertainty bands, and versioned configs you can show to compliance.
- Deterministic, explainable outputs
- Audit-ready configs and versioning
- Backtests with uncertainty bands
“Create a corn yield risk index for Iowa using NOAA precip anomalies and 7-day GFS temp deviation. Alert if risk > 0.7.”
signal: "CornYieldRisk" inputs: - NOAA_precip_anomaly - GFS_7d_temp_delta method: deterministic formula: sigmoid(zscore(precip)*0.6 + zscore(temp)*0.4) threshold: 0.7
- • Data lineage and transparent formulas
- • Out-of-sample backtests with sensitivity analysis
- • SLA, security, and audit trails
Not investment advice. Backtest results are illustrative only.
For buyers
Deploy credible weather intelligence directly into decisions. Get early edge, hedge risk, and brief stakeholders with clear, model-backed signals.
- • Intraday and daily updates
- • Hyperlocal granularity
- • Backtests and scenario overlays
Anticipate crop yield shocks, freeze risk, and hydro stress. Convert impacts to positions with confidence intervals.
Optimize planting windows and harvest logistics. Monitor field-level risk to plan labor, storage, and transport.
Forecast wind/solar feed and grid stress at substation resolution. Alert on ramp risk and derates.
Quantify peril exposure, accelerate underwriting, and pre-position inventory with lead time.
Signals you can deploy now
Forecasted port downtime due to high winds, storms, or fog
Flood/wind/rain risk on road/rail corridors
Weather-related closure/delay probability
Cold weather–linked diesel demand spike
Heating demand volatility forecast
Forecast turbine auto-shutdown risk
Underperformance from haze/clouds
Dry soil forecast affecting crops
Early warning for frost-sensitive regions
Flood conditions affecting yield
Extended drought trend forecast
Risk of unsuitable conditions for pours
Forecast of crane shutdown due to wind
Lost working days on outdoor activities
Accumulated snow/ice shutdown risk
Fire spread risk based on wind + dryness
Forecast impact risk by asset class
Urban mortality linked to extreme heat
Correlates signals with asset classes
Platform
Describe the outcome; get a compiled, editable signal. The assistant suggests datasets, transformations, and thresholds. You keep the math.
- Deterministic outputs — no hidden weights
- Inline validation: unit checks, missing data guards
- Export as YAML and code
signal: "CornYieldRisk" inputs: - NOAA_precip_anomaly - GFS_7d_temp_delta method: deterministic formula: sigmoid(zscore(precip)*0.6 + zscore(temp)*0.4) threshold: 0.7
About Climetrics
Climetrics is built by EHAB, a climate and infrastructure risk company. We focus on auditable, deterministic methods that fit institutional workflows, with security, SLAs, and governance baked in.