TRAXR-AVAXTRAXR-AVAX | Methodology

How TRAXR-AVAX Works

Pool & Contract Risk Intelligence (Alpha)

What TRAXR-AVAX Is

TRAXR-AVAX is a foundational indexing and normalization layer for AVAX DeFi data. It ingests pool data from GeckoTerminal, normalizes it into a stable schema, and exposes a clean substrate for downstream scoring and analysis.

Layered Architecture

  • Layer 1 - Indexed Data: source-backed pool metadata, token info, liquidity, volume, DEX attribution.
  • Layer 2 - Derived Heuristics: computed, best-effort metrics like depth and volatility impact.
  • Layer 3 - Risk Signals: contract risk, fee stability, liquidity concentration resolved by a separate scoring engine.

Why Pools, Not Tokens

Risk in AMM environments emerges from liquidity depth, LP concentration, fee dynamics, and contract control. Pool-centric analysis surfaces where risk actually manifests.

What TRAXR-AVAX Is Not

  • Not financial or investment advice
  • Not a price prediction or yield forecast
  • Not a trading interface or portfolio tracker

Scoring Engine (npm)

TRAXR-AVAX scoring is handled by a separate npm package. It consumes normalized pool data and produces CTS nodes, scores, and warnings without modifying the indexed facts.

Package: @crosswalk.pro/traxr-cts-avax

TRAXR-AVAX Score

Each pool receives a score (0-100) mapped to a 1-6 CTS tier. Scores are relative, deterministic within the dataset, and computed by the scoring engine.

Scoring Dimensions

  • Liquidity Depth - estimated reserves and resilience
  • Concentration - LP dominance proxy
  • Volatility Impact - price sensitivity proxy
  • Fee Stability - fee change consistency
  • Contract Risk - proxy, upgradeability, admin controls
  • Dependencies - incentives or emissions flags

Transparency Notes

Derived metrics are best-effort. When deeper on-chain resolution is required, values are explicitly shown as "Unknown" until the scoring engine resolves them.

Current Alpha Data Model

The current alpha operates on GeckoTerminal snapshots cached in JSON files and refreshed manually.

This approach prioritizes correctness and transparency over perceived real-time behavior.

Roadmap (Optional)

The roadmap progresses from indexing, to on-chain resolution, to expanded scoring, then cross-chain aggregation.

Alpha mode: data is refreshed periodically for demonstration purposes. Real-time indexing is not enabled.

Know your data. Know your risk.