Snowtrail Product Overview
A modular intelligence platform for energy and commodity markets.
Snowtrail products are designed to provide structured context across balance, marginality, weather, and physical infrastructure. Each product exposes one or more intelligence layers, Signals, Events, and Features, depending on the market and use case.
Product comparison
| Product | Primary Market | Signals | Events | Features | Backtests | What it's best for |
|---|---|---|---|---|---|---|
| GBSI-US | US Natural Gas | ✅ | ✅ | ✅ | ✅ | Understanding balance tightness and stress in the US gas system |
| GBSI-EU | European Natural Gas | ✅ | ✅ | ✅ | ✅ | Monitoring European gas balance, flexibility, and system stress |
| GLMI | Global LNG | ✅ | ✅ | ✅ | ✅ | Identifying LNG marginality and competition between regions |
| WRSI | Weather | ✅ | ✅ | ✅ | ✅ | Tracking dominant weather regimes and structural demand context |
| WSSI-US | Weather | ✅ | ✅ | ✅ | ✅ | Identifying weather-driven shocks and forecast surprises |
| PEMI | Energy Infrastructure | ✅ | ✅ | ✅ | ✅ | Monitoring physical disruptions, outages, and infrastructure risk |
How to read this table
- Signals provide continuous, interpretable indicators describing the state of a system
- Events highlight discrete developments that materially affect market conditions
- Features are derived inputs designed for quantitative research and custom modelling
- Backtests provide pre-computed, point-in-time correct performance analysis for each signal
All products expose all four layers.
Typical usage by role
| Role | Primary Use Cases |
|---|---|
| Traders & PMs | • Monitor Signals for macro context • Track Events for emerging stress • Use products together to frame scenarios |
| Quant & Research | • Consume Features for modelling and backtesting • Use Signals as regime or state variables • Combine with price and positioning inputs |
| Data & Engineering | • Integrate via API, Python SDK, or S3 • Use consistent schemas and definitions across products |
Using products together
Snowtrail products are designed to be complementary, not standalone silos.
Common combinations include:
- GBSI + WRSI → Balance conditions with weather regime context
- GBSI + WSSI-US → Balance sensitivity during weather shocks
- GLMI + PEMI → LNG marginality with physical disruption awareness
Choosing the right starting point
If you're unsure where to begin:
- Start with GBSI-US or GBSI-EU for balance-driven markets
- Add GLMI when analysing LNG competition and allocation
- Layer in WRSI / WSSI-US for weather context
- Use PEMI to track physical risk and infrastructure events
Next steps
- Explore individual product pages for detailed coverage
- Review the Data Model section to understand Snowtrail's intelligence layers
- Request a demo to see how these products fit your workflows
Past performance is not indicative of future results. Snowtrail Research provides data and analytics only, not investment advice. All signals should be independently validated before use in trading decisions.