BTC$80,472-1.12% ETH$2,343-2.33% USDT$0.9991+0.00% BNB$731.36-1.45% XRP$1.29-1.28% USDC$0.9996-0.01% SOL$101.39-2.26% TRX$0.3292-0.20% FIGR_HELOC$1.04+1.67% ZEC$1,204-2.08% HYPE$76.29-1.46% DOGE$0.0773-2.47% XMR$607.02+2.82% USDS$1.00+0.02% WBT$77.57-1.85% LINK$11.56-3.18% LEO$9.02-0.41% ADA$0.2066-3.42% XLM$0.1708-2.43% RAIN$0.008415+1.37% NEAR$4.47-6.77% BCH$275.53-3.10% USDE$0.9995+0.01% DAI$1.00+0.02% LTC$56.80-2.39% UNI$6.80-4.13% CC$0.1013-1.43% AVAX$8.92-1.87% USD1$0.9990+0.01% SUI$0.9371-4.14% GRAM$1.25-3.69% HBAR$0.0777-0.67%
Меню
Главная
Активы
Охват
Все активыEvery research file, largest firstСекторыWhat each category holds and weighsРейтингиFourteen leaderboards and what they missТепловая картаThe market sized by value, shaded by changeГлобальный рынокTotal capitalization, dominance and volume
Инструменты
СкринерFilter by fundamentals, supply and riskСравнить активыResearch files side by sideСохранённоеThe assets you have starred
Фундаментальные показатели
Economics
Fees & revenueWhat users pay, and who keeps itЗаблокированная стоимостьCapital deposited in each networkExchange volumeTrading on decentralized exchanges
Networks
Активность сетиAddresses, transactions and throughputStablecoinsDollar tokens, where they live and what backs themStaking & yieldWhat securing a network pays, after issuance
Оценка
Standardized measures
Коэффициенты оценкиPrice against fees and revenue, limits statedSupply & issuanceCirculating, maximum and the dilution aheadОпределения метрикEvery figure: definition, period, limitation
Институциональный
Регулируемый доступ
Биржевые продуктыEvery US-listed fund, with a page eachКорпоративные казначействаListed companies holding digital assets
Исследования
Analysis
Исследовательские заметкиShort notes written from stored figuresКалендарь событийUpgrades, halvings and policy dates
Риск
Система оценки рисковFifty factors in seven familiesИнциденты безопасностиExploits and failures, with the losses
Обучение
Обучение
Learn libraryEleven tracks, from first principlesГлоссарийEvery term in plain EnglishКалькуляторыFee drag, dilution and conversion
How this site works
МетодологияHow every figure is measuredИсточники данныхWho publishes what we showАктуальность данныхWhen each feed last ranAI agentsPrompts that keep an assistant on our dataПубличный APIThe same figures, as JSON
Новости Спросите данные О нас
Параметры отображения
Режим с подсказками

Впервые на рынке — цены, доходности, market cap? Мы объясняем каждый термин по ходу просмотра, простым языком. Те же данные — со встроенными пояснениями.

Мнение эксперта

Вы уже знаете рынок. Только данные — чистые, быстрые и компактные, без лишних пояснений. Это режим по умолчанию.

View
Светлая или тёмная
Язык
Фотография ФотографияStill lifeCryptoStudio
Публичный API

Каждый показатель на этом сайте доступен в формате JSON с указанием периода и источника.

Читать документацию API
Market риск Все активы

Liquidation Cascade

Leveraged positions are force-closed automatically, and the resulting market orders trigger further force-closures in a self-reinforcing sequence.

Как это происходит

Perpetual futures and on-chain lending both close positions automatically when collateral falls below a maintenance threshold, and both close them by selling into the same market that determines the price. When leverage is clustered, one wave of forced selling pushes the price into the next tier of thresholds, and each tier's liquidations become the next tier's cause. Several amplifiers commonly appear together: cross-margin arrangements where a fall in one asset closes positions in another, collateral that is itself volatile, oracle updates that lag a fast move and then arrive all at once, and network congestion that prevents users from adding collateral or bidders from participating in auctions. When the insurance fund is exhausted, venues fall back to auto-deleveraging, which closes profitable positions on the other side and transmits the shock to traders who were correct.

Что можно реально наблюдать

Compare open interest against spot order-book depth, since the ratio indicates how much forced flow a market may have to absorb. Funding rates at persistent extremes indicate crowded positioning, and aggregate liquidation prints show what actually cleared. Insurance fund balances, their drawdown history, and any past use of auto-deleveraging are published by major derivatives venues, and on-chain lending markets publish liquidation thresholds and the value sitting near them.

Прецедент

During the March 2020 sell-off, a rapid decline combined with network congestion caused MakerDAO collateral auctions to clear at token amounts far below normal, while centralized venues processed very large forced-liquidation volumes in the same window.

Что делает это более или менее существенным

Look at open interest relative to real depth, funding-rate extremes, the size and history of the insurance fund, the volatility of accepted collateral, and how oracle latency behaves during fast moves.

01

Связанные факторы

Oracle Manipulation Technical A protocol reads a price from an external feed, and someone moves that price cheaply in order to trigger…
Reflexive Collateral Loops Economic A token is used as collateral to borrow against itself or a sibling asset, so a price decline forces sales…
Thin Real Liquidity Market A large market capitalization can rest on a small amount of genuine order-book depth, so modest selling moves…
Continuous Market Gap Risk Market Digital asset markets trade without pause, so a move that equities would spread across sessions and halts can…
Digital Asset DatabaseDigital asset research & education

Активы

Все активыСекторыРейтингиТепловая картаСкринерСравнитьСохранённое

Фундаментальные показатели

Fees & revenueЗаблокированная стоимостьExchange volumeАктивность сетиStablecoinsStaking & yield

Valuation & risk

Коэффициенты оценкиSupply & issuanceОпределения метрикСистема оценки рисковИнциденты безопасности

Институциональный

Биржевые продуктыКорпоративные казначействаEventsИсследовательские заметкиНовости

Обучение

Learn libraryГлоссарийКалькуляторыСпросите данныеAI agentsПубличный API

О сайте

О насКонтактыМетодологияИсточники данныхРедакционная политикаАктуальность данных

Правовой

ДисклеймерыУсловия использованияPrivacy policy