Digital Asset Database Digital asset research & education
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Track12 lessons

Risk

Risk here stacks in separate layers - price, code, keys, counterparties, liquidity and law - and each layer fails in its own way.

01 — How to think about risk in digital assets Risk here stacks in separate layers - price, code, keys, counterparties, liquidity and law - and each layer fails in its own way. 7 min
02 — Smart contract risk: what actually goes wrong in code Defect classes, economic exploits and upgrade paths are the recurring shapes of on-chain loss, and an audit removes none of them completely. 8 min
03 — Oracle failure: when a protocol reads the wrong price Lending markets and derivatives act on numbers imported from outside the chain, and the ways that import breaks are specific and repeatable. 8 min
04 — Bridge compromise: why cross-chain links keep failing A bridge concentrates value behind a signing set or a verification contract, which has made bridges the highest-value target in the stack. 8 min
05 — Governance and admin keys: who can change the rules Most protocols retain power to upgrade, pause or redirect value, and the practical question is who holds that power and what constrains it. 7 min
06 — Custody and self-custody, weighed honestly Holding keys directly removes one category of risk and adds another, and the tradeoff is operational rather than ideological. 7 min
07 — Counterparty and exchange risk: the 2022 record Terra, Celsius, Three Arrows and FTX failed within months of one another in 2022 through a small set of repeating mechanisms. 8 min
08 — Regulatory risk: the questions that remain unresolved The honest description of regulatory risk is a list of open legal questions and their mechanical consequences, not a forecast of outcomes. 7 min
09 — Market and liquidity risk: price, depth and cascades Price risk and the risk of being unable to transact near that price are separate problems, and the second one arrives during stress. 8 min
10 — Concentration risk in supply, stake and validators A network can be decentralized in software and concentrated in practice, and ownership, operation and governance each concentrate separately. 8 min
11 — Data-quality risk: what a dashboard number can hide Self-reported supply, adapter-dependent fee accounting, revisions and survivorship move headline figures before any market does. 8 min
12 — Personal security: phishing, address poisoning, approvals The operational habits that prevent the most common losses: fake front ends, poisoned address history and standing token approvals. 7 min

Assets

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Valuation ratiosSupply & issuanceMetric definitionsRisk frameworkSecurity incidents

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