Most dashboards assign generic scores like “Low Risk” to stablecoins or large-cap tokens without context. Treno breaks that pattern: our model maps each asset or position to real, on-chain risk signals such as protocol governance flaws, liquidity fragmentation, and upgrade history. The output isn’t abstract – it’s actionable and based on verifiable vulnerabilities.

Our engine combines data from multiple layers: raw blockchain events (positions, transactions, governance changes), protocol subgraphs (TVL, borrow rates, collateral usage), and off-chain data (audits, token metadata, entity affiliations). For stablecoins, we also assess issuer concentration and redemption mechanics. All sources are regularly updated and normalized in-house.

Yes – but with nuance. Treno flags protocols with insufficient data coverage and applies fallback rules (e.g., increased base risk for unaudited contracts or centralized ownership). You’ll see exactly why something is flagged, even if it’s new or small. No "green score" just because it hasn't been attacked yet.

Risk scores update dynamically when relevant events occur – such as smart contract upgrades, governance proposals, liquidation spikes, or large transfers. For stablecoins and large protocols, we also track regulatory signals and custodial activity. The frequency depends on your plan tier (daily or real-time with caching).

Treno aggregates wallet data and detects shared dependencies – like multiple positions tied to a single L2 rollup, oracle feed, or governance structure. These correlations are explicitly reflected in the risk score, helping you avoid hidden systemic exposures that most portfolio trackers miss.