TRAXR-AVAX | Data ModelTRAXR-AVAX Data Model
Indexed AVAX pool entities used for normalization and scoring.
Data Model Overview
TRAXR-AVAX operates on a read-only data model derived from AVAX C-Chain pool inputs. The model separates source-backed fields from derived heuristics and external scoring signals.
Core Entities
- Pool ContractPool address, identifiers, DEX attribution, and fee metadata.
- Token MetadataToken name, symbol, address, and decimals from the source feed.
- SnapshotPoint-in-time capture of liquidity and volume metrics.
Deterministic Data Model
All TRAXR-AVAX scores are derived from a single snapshot. No predictions, no trading features, and no wallet interactions.
Snapshot-based data model - deterministic inputs - reproducible metrics
Derived Metrics
From core entities, TRAXR-AVAX derives normalized heuristics such as liquidity depth and volatility impact. These are marked as best-effort and never presented as protocol guarantees.
Scoring Signals (External)
Advanced signals such as liquidity concentration, fee stability, and governance risk are produced by the scoring engine package. Unknown values are intentional until resolved by that layer.
Current Alpha Data Model
- GeckoTerminal snapshots cached in JSON
- Manual refresh cycle for validation
- Deterministic normalization over cached state
- Scoring handled by npm package
Evolution (Optional)
The target data model can evolve toward continuous indexing and automated ingestion without altering core entity definitions.
Data structures are intentionally minimal to preserve auditability and reduce complexity during alpha.
Know the data. Know the risk.