Snowtrail Documentation
Snowtrail provides market intelligence data products for commodities trading teams. Our platform delivers structured, research-ready datasets across various commodity markets.
- New to Snowtrail? Start with the Quick Start Guide
- Ready to integrate? See our API Reference or Python SDK
- Explore products: Browse our Product Catalogue
What We Provide
Snowtrail organises market data into four core types:
Signals
Quantitative indicators derived from fundamental data. Designed to be predictive and actionable for trading decisions.
Features
Curated, transformed datasets created from raw inputs. Research-ready building blocks for quantitative analysis.
Events
Structured records of market developments--outages, policy changes, supply disruptions--that impact prices.
Backtests
Walk-forward validation results with bootstrap confidence intervals, designed to help teams evaluate signal quality with institutional rigour.
Products
Our products cover major energy and commodity markets:
| Product | Market | Data Types |
|---|---|---|
| GBSI-US | US Natural Gas | Models structural imbalance across US supply, demand, storage and flows to classify the prevailing gas regime |
| GBSI-EU | European Natural Gas | Tracks structural tightness across 20+ European markets, incorporating storage adequacy, LNG elasticity and weather demand |
| GLMI | Global LNG | Identifies the basin setting marginal LNG price formation between Europe and Asia |
| PEMI | European Power | Translates power plant and transmission outages into price-relevant supply risk signals |
| WRSI | Weather | Measures ensemble spread, forecast instability and model disagreement across major weather systems |
| WSSI-US | Weather | Models population-weighted demand shocks and forecast dispersion to anticipate gas storage deviations |
Getting Started
from snowtrail import Snowtrail
client = Snowtrail(api_key="your-api-key")
# Fetch the latest system stress signal for US natural gas
df = client.gbsi_us.system_stress()
print(df[["week_ending", "stress_regime_label", "confidence_score"]])
Who Uses Snowtrail
- Quantitative researchers building systematic trading strategies
- Commodity trading desks seeking timely market intelligence
- Risk management teams monitoring market exposures
- Portfolio managers focused on energy markets
Need Help?
- Browse the FAQ for common questions
- Review the API Reference for technical details
- Contact us at support@snowtrail.ai