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	✅	✅	✅	✅	Judging forecast instability and whether weather matters now
WSSI-US	Weather	✅	✅	✅	✅	Weather-driven pressure on US gas storage
PEMI	European Power	✅	✅	✅	✅	Monitoring outage exposure and grid stress by bidding zone (no price claim)

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 test results for each signal, published whether they pass or fail

All products expose all four layers.

No product predicts price direction or level, and none carries a position-sizing or VaR claim. See Backtests for the figures.

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.