Skip to main content

Signals

WSSI-US Signals quantify the magnitude and direction of weather-driven demand anomalies and their link to US gas storage.

  • storage_attribution: on the Sunday after an EIA storage week closes, the weather-attributable Bcf, seasonal norm and direction per storage region (Lower 48, East, Midwest, South Central). Not a forecast of the EIA print.
  • demand_shock: the forecast demand anomaly (demand_anomaly_hdd, the series the backtest grades) and the forecast instability index (forecast_instability_score, which measures forecast confidence, not severity). The former wssi_score / wssi_regime columns were retired on 23 September 2026.

Typical use cases​

They are particularly useful for:

  • Identifying weather-driven storage pressure in the heating season
  • Separating the weather part of a storage surprise from the rest
  • Judging how much to trust the current forecasts

Accessing WSSI-US Signals​

from snowtrail import Snowtrail
client = Snowtrail(api_key="your-api-key")

# Fetch WSSI-US demand shock signal
df = client.wssi_us.demand_shock(date_from="2024-01-01")

# All methods return pandas DataFrames
print(df.head())

For a conceptual overview, see Data Model → Signals.