BTC$81,404-0.01% ETH$2,392-1.25% USDT$0.9990+0.01% BNB$717.39-0.21% XRP$1.28-1.09% USDC$0.9997+0.00% SOL$102.76-0.98% TRX$0.3322-1.31% FIGR_HELOC$1.07+3.99% ZEC$1,114-3.97% HYPE$77.95-0.95% DOGE$0.0782-1.67% XMR$590.83+6.94% USDS$0.9997+0.00% WBT$79.58-0.31% LINK$11.86-1.38% LEO$9.03-0.16% ADA$0.2170-1.50% RAIN$0.009284+5.36% NEAR$4.83-4.15% XLM$0.1757-0.94% BCH$272.08-0.10% USDE$0.9993+0.01% LTC$59.45+0.62% DAI$1.00+0.03% UNI$7.12-0.59% AVAX$9.63-1.93% USD1$0.9991+0.01% CC$0.1001-3.13% SUI$0.9677-2.13% HBAR$0.0870+5.18% GRAM$1.34-0.11%
Menu
Home
Assets
Coverage
All assetsEvery research file, largest firstSectorsWhat each category holds and weighsRankingsFourteen leaderboards and what they missHeat mapThe market sized by value, shaded by changeGlobal marketTotal capitalization, dominance and volume
Tools
ScreenerFilter by fundamentals, supply and riskCompare assetsResearch files side by sideSavedThe assets you have starred
Fundamentals
Economics
Fees & revenueWhat users pay, and who keeps itValue lockedCapital deposited in each networkExchange volumeTrading on decentralized exchanges
Networks
Network activityAddresses, transactions and throughputStablecoinsDollar tokens, where they live and what backs themStaking & yieldWhat securing a network pays, after issuance
Valuation
Standardized measures
Valuation ratiosPrice against fees and revenue, limits statedSupply & issuanceCirculating, maximum and the dilution aheadMetric definitionsEvery figure: definition, period, limitation
Institutional
Regulated access
Exchange-traded productsEvery US-listed fund, with a page eachCorporate treasuriesListed companies holding digital assets
Research
Analysis
Research notesShort notes written from stored figuresEvents calendarUpgrades, halvings and policy dates
Risk
Risk frameworkFifty factors in seven familiesSecurity incidentsExploits and failures, with the losses
Learn
Education
Learn libraryEleven tracks, from first principlesGlossaryEvery term in plain EnglishCalculatorsFee drag, dilution and conversion
How this site works
MethodologyHow every figure is measuredData sourcesWho publishes what we showData freshnessWhen each feed last ranAI agentsPrompts that keep an assistant on our dataPublic APIThe same figures, as JSON
News Ask the data About us
Reading options
Guided view

New to markets — prices, yields, market cap? We explain every term as you browse, in plain English. Same data, with the help built in.

Expert view

You already know the market. Just the data — clean, fast and compact, with no extra explanations. This is the default view.

View
Light or dark
Language
Photography PhotographyStill lifeCryptoStudio
Public API

Every figure on this site is available as JSON, with its period and source attached.

Read the API docs
Technical risk DeFiOraclesStablecoinsReal-world assetsLayer 2

Oracle Manipulation

A protocol reads a price from an external feed, and someone moves that price cheaply in order to trigger borrowing, liquidations, or settlement in their favor.

How it happens

Contracts cannot see outside their own chain, so they rely on oracles: an on-chain automated market maker's spot price, a median of exchange quotes pushed on-chain, or a signed price pulled at transaction time. If the venue behind the feed has thin depth relative to the value the protocol will lend or settle against it, an attacker can buy or sell into that venue, move the reported price, and act on the distorted value inside the same block or the same few minutes. Time-weighted averages raise the cost by requiring the price to be held away from fair value for longer, but they also make the feed stale during genuine fast moves. Failure modes run both ways: a manipulated price can inflate collateral and enable borrowing that is never repaid, and a stale price can prevent liquidations that should have happened.

What you can actually observe

Read the oracle configuration: how many independent sources feed it, whether it is a spot read or a time-weighted average and over what window, what deviation and heartbeat thresholds trigger an update, and what the contract does when the feed goes stale. Compare the depth of the underlying market for a collateral asset against the maximum amount borrowable against it, since manipulation cost scales with that depth. Governance records often show when a market was listed with parameters set before its liquidity existed.

Precedent

In 2022 a trader pushed the price of a thinly traded perpetual contract on Mango Markets far above prevailing levels, used the inflated collateral value to borrow against it, and left the protocol with unpayable debt.

What makes it more or less material

Check the depth of the priced market relative to the value that depends on it, the number of independent sources, the averaging window, whether a circuit breaker exists, and whether governance can list new collateral without a delay.

01

Related factors

Smart Contract Defect Technical A flaw in deployed contract code lets funds be moved, locked, or destroyed in ways the designers never…
Depeg Mechanics Economic An asset designed to track a reference value stops doing so because its backing, its redemption path, or its…
Thin Real Liquidity Market A large market capitalization can rest on a small amount of genuine order-book depth, so modest selling moves…
Liquidation Cascade Market Leveraged positions are force-closed automatically, and the resulting market orders trigger further…
02

Assets this applies to

The largest assets we classify in the categories this factor applies to. Presence here means the factor is relevant to that kind of asset, not that it has occurred.

TetherUSDCFigure HelocUSDSChainlinkRainEthena USDeDaiUniswapUSD1
Digital Asset DatabaseDigital asset research & education

Assets

All assetsSectorsRankingsHeat mapScreenerCompareSaved

Fundamentals

Fees & revenueValue lockedExchange volumeNetwork activityStablecoinsStaking & yield

Valuation & risk

Valuation ratiosSupply & issuanceMetric definitionsRisk frameworkSecurity incidents

Institutional

Exchange-traded productsCorporate treasuriesEventsResearch notesNews

Learn

Learn libraryGlossaryCalculatorsAsk the dataAI agentsPublic API

About

About usContactMethodologyData sourcesEditorial policyData freshness

Legal

DisclaimersTerms of usePrivacy policy