TRAXR-AVAXTRAXR-AVAX | Methodology

Avalanche-First Deterministic Risk Methodology

Pool-level risk intelligence from on-chain-native data, normalized and reproducible.

Method Goal

TRAXR-AVAX provides a deterministic pool-risk layer for Avalanche. The objective is not prediction; it is transparent interpretation of current pool structure and contract posture from source-backed data.

Data Source Policy

  • Primary source: Avalanche C-Chain RPC (native on-chain reads/logs).
  • Legacy Gecko snapshots are retained as baseline comparison data.
  • Trend/Compare explicitly show source segmentation for provenance transparency.

Deterministic Pipeline

  1. Discovery per DEX adapter using protocol-specific events/state.
  2. Normalization into stable schema (`dataSource`, `addressSource`, pool/token fields, metrics).
  3. Scoring delegation to external npm engine (`@crosswalk.pro/traxr-cts-avax`).
  4. Distribution via read-only API/UI with explicit `Signals` semantics.

Scoring Semantics

Node outputs are normalized to `0-100` where higher means better posture. For example, Execution Resilience is positive quality: higher indicates lower expected disruption under trade pressure.

Public scoring principles are documented in Scoring Overview.

MVP Scope

  • Avalanche-native snapshot fetcher (adapter-based).
  • Deterministic normalization + pool-level scoring outputs.
  • UI/API for pool, trend, compare, signals, and interpretation.

Next Build Focus

  • Self-hosted Avalanche node as primary data plane.
  • Smarter/faster indexer profiles for high-frequency refresh.
  • Deeper contract/admin/dependency signal coverage.
  • Integration-ready API distribution for wallets and DEXs.

What TRAXR-AVAX Is Not

  • Not financial advice.
  • Not a trading execution interface.
  • Not custody/signing infrastructure.

Methodology is intentionally explicit so outputs remain auditable and reproducible.