Data Model Overview
Snowtrail organises data into four core types: Signals, Features, Events, and Backtests.
Core Data Types
Signals
Quantitative classifications of market conditions, derived from fundamental data. Signals describe the state the market is in. They are regime classifications, not price forecasts, and no product carries a position-sizing or VaR claim. See each product's validation status for what its signal has and has not been shown to do.
Features
Curated, transformed datasets created from raw fundamental inputs. Features are designed as reliable building blocks for quantitative research and analysis.
Events
Structured records of discrete developments such as outages, regime transitions, or supply disruptions in the systems each product tracks.
Backtests
Pre-computed test results for each signal. Backtests measure whether regime classifications correspond to meaningfully different market outcomes, and they are published whether the result passes or fails.
Common Principles
All Snowtrail data types share these characteristics:
- Point-in-time integrity - Values reflect what was known at the time
- Consistent definitions - Clear, documented methodology
- Research-ready format - Structured for immediate use in analysis