BTC$81,095+1.69% ETH$2,363+2.16% USDT$0.9988+0.00% BNB$747.37+1.24% XRP$1.34+3.06% USDC$0.9994+0.00% SOL$102.12+2.09% TRX$0.3306+0.59% FIGR_HELOC$1.03-0.61% ZEC$1,322+8.24% HYPE$81.39+4.84% DOGE$0.0799+3.28% XMR$603.06-0.65% USDS$0.9998-0.01% WBT$77.93+1.70% LINK$11.78+3.95% LEO$9.30+2.95% ADA$0.2078+1.96% NEAR$4.72+6.84% XLM$0.1723+2.56% BCH$297.40+5.71% RAIN$0.007215-0.08% USDE$0.9992+0.04% DAI$0.9999-0.01% LTC$57.61+2.21% UNI$7.14+1.81% AVAX$9.06+3.15% CC$0.0997+2.56% USD1$0.9988+0.02% SUI$0.9425+3.77% GRAM$1.24+3.64% HBAR$0.0772+1.07%
Menü
Startseite
Assets
Abdeckung
Alle AssetsEvery research file, largest firstSektorenWhat each category holds and weighsRankingsFourteen leaderboards and what they missHeat MapThe market sized by value, shaded by changeGlobaler MarktTotal capitalization, dominance and volume
Tools
ScreenerFilter by fundamentals, supply and riskAssets vergleichenResearch files side by sideGespeichertThe assets you have starred
Fundamentaldaten
Economics
Fees & revenueWhat users pay, and who keeps itGesperrter WertCapital deposited in each networkExchange volumeTrading on decentralized exchanges
Networks
NetzwerkaktivitätAddresses, transactions and throughputStablecoinsDollar tokens, where they live and what backs themStaking & yieldWhat securing a network pays, after issuance
Bewertung
Standardized measures
BewertungskennzahlenPrice against fees and revenue, limits statedSupply & issuanceCirculating, maximum and the dilution aheadMetrik-DefinitionenEvery figure: definition, period, limitation
Institutionell
Regulierter Zugang
Exchange-Traded ProductsEvery US-listed fund, with a page eachUnternehmens-TreasuriesListed companies holding digital assets
Research
Analysis
Research-NotizenShort notes written from stored figuresVeranstaltungskalenderUpgrades, halvings and policy dates
Risiko
RisikorahmenFifty factors in seven familiesSicherheitsvorfälleExploits and failures, with the losses
Lernen
Bildung
Learn libraryEleven tracks, from first principlesGlossarEvery term in plain EnglishRechnerFee drag, dilution and conversion
How this site works
MethodikHow every figure is measuredDatenquellenWho publishes what we showDatenaktualitätWhen each feed last ranAI agentsPrompts that keep an assistant on our dataPublic APIThe same figures, as JSON
Nachrichten Daten abfragen Über uns
Leseoptionen
Geführte Ansicht

Neu bei Märkten — Preise, Renditen, Market Cap? Wir erklären jeden Begriff beim Durchsuchen, in klarer Sprache. Dieselben Daten, mit integrierter Hilfe.

Expertenansicht

Sie kennen den Markt. Nur die Daten — klar, schnell und kompakt, ohne zusätzliche Erläuterungen. Das ist die Standardansicht.

View
Hell oder dunkel
Sprache
Fotografie FotografieStill lifeCryptoStudio
Public API

Jede Zahl auf dieser Website ist als JSON verfügbar, mit Zeitraum und Quelle versehen.

API-Dokumentation lesen
12 Sep 2026

Inside the Meme sector, 12 September 2026

The Meme sector tracked 111 constituents with a combined market cap of approximately $33.8 billion as of 12 September 2026.

Sector Composition and Concentration

As of 12 September 2026, the Meme sector carried a total market capitalisation of approximately $33.8 billion across 111 tracked constituents. Concentration within the sector is pronounced: Dogecoin alone accounted for roughly $13.2 billion of that total, representing just under 40% of the entire sector by market cap. The next-largest member, Shiba Inu, stood at approximately $3.1 billion, and the third-largest, MemeCore, at approximately $2.7 billion. Taken together, the three largest members constitute well over half the sector's total capitalisation, a pattern consistent with heavy top-end concentration typical of thematically grouped digital-asset sectors.

Fee Streams: Measurable vs. Absent

Of the 15 largest members listed, only one—Dogecoin—carries a reported fee figure: annualized fees of approximately $283,362, derived from the trailing 30 days to 12 September 2026. The remaining 14 largest members show no measurable fee stream in the data provided (null values throughout). This does not necessarily indicate zero on-chain fee activity; it may reflect data unavailability or structural differences in how fee revenue is defined and captured for each asset. Readers should treat the absence of a fee figure as an absence of reported data rather than a confirmed absence of economic activity.

Distance from All-Time Highs

Across the 15 largest members, the spread of drawdowns from each asset's all-time high is wide. The shallowest drawdown recorded in this group belongs to Artificial Inu, at -2.8% from its all-time high (trailing 7 days to 12 September 2026), while the deepest belongs to Official Trump, at -97.3%. Several other large members sit between -88% and -96% below their respective peaks, including Dogecoin (-88.4%), Pepe (-87.9%), Bonk (-95.2%), and dogwifhat (-96.0%). This dispersion indicates that all-time-high distances are highly idiosyncratic across members and carry no uniform interpretive implication at the sector level.

What the Sector Label Does and Does Not Convey

The label Meme groups assets by a broadly cultural or community-driven origin narrative rather than by shared technical architecture, use-case, consensus mechanism, or fee-generating structure. Within these 15 largest members alone, the underlying assets range from a long-established proof-of-work network (Dogecoin) to tokens originating from NFT communities, AI-adjacent branding, political associations, and launchpad platforms. The 7-day return figures to 12 September 2026 ranged from +32.5% to -15.9% within this single sector grouping, illustrating that constituent behaviour can diverge substantially even over short windows. A sector classification of this kind offers a useful organisational shorthand but does not imply that constituents share risk drivers, liquidity profiles, or governance structures. Analysts using sector-level aggregates should account for the degree to which individual member characteristics may deviate from any sector-wide summary statistic.

01

Die Zahlen, auf denen dieser Beitrag basiert

sectorMeme
periods{'fees': 'annualized from the trailing 30 days', 'returns': 'trailing 7 days'}
largest members[{'name': 'Dogecoin', 'return_7d_pct': -3.1, 'market_cap_usd': 13246782272.0, 'fees_annualized_usd': 283361.6666666667, 'percent_below_all_time_high': -88.3846}, {'name': 'Shiba Inu', 'return_7d_pct': -2.9, 'market_cap_usd': 3116624358.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -93.86296}, {'name': 'MemeCore', 'return_7d_pct': 5.0, 'market_cap_usd': 2675690503.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -79.13592}, {'name': 'Pump.fun', 'return_7d_pct': -10.3, 'market_cap_usd': 1523592417.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -58.24245}, {'name': 'Pepe', 'return_7d_pct': -5.0, 'market_cap_usd': 1429836339.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -87.87872}, {'name': 'Official Trump', 'return_7d_pct': -15.4, 'market_cap_usd': 548544444.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -97.26514}, {'name': '币安人生 (BinanceLife)', 'return_7d_pct': -15.9, 'market_cap_usd': 473419406.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -47.07642}, {'name': 'Pudgy Penguins', 'return_7d_pct': -14.1, 'market_cap_usd': 459665725.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -89.31635}, {'name': 'SPX6900', 'return_7d_pct': -15.9, 'market_cap_usd': 459536191.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -78.2878}, {'name': 'Artificial Inu', 'return_7d_pct': 32.5, 'market_cap_usd': 343000063.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -2.77327}, {'name': 'Ape and Pepe', 'return_7d_pct': 18.1, 'market_cap_usd': 275977848.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -80.91766}, {'name': 'Bonk', 'return_7d_pct': -13.8, 'market_cap_usd': 247160629.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -95.17767}, {'name': 'Useless Coin', 'return_7d_pct': -7.0, 'market_cap_usd': 226812970.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -47.79372}, {'name': 'Ribbita by Virtuals', 'return_7d_pct': -13.5, 'market_cap_usd': 206423404.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -53.2104}, {'name': 'dogwifhat', 'return_7d_pct': -10.5, 'market_cap_usd': 191920917.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -96.01969}]
observation date12 September 2026
constituents tracked111
sector market cap usd33815795572.23905
Verfasst von einem KI-Sprachmodell, ausschließlich auf Basis der oben aufgeführten Zahlen. Es enthält keine Kurseinschätzung und keine Empfehlung. Kennzahlen beziehen sich auf die Referenzzeiträume, die auf den jeweiligen Seiten angegeben sind. · claude-sonnet-4-6
02

Weitere Hinweise

Digital Asset DatabaseDigital asset research & education

Assets

Alle AssetsSektorenRankingsHeat MapScreenerVergleichenGespeichert

Fundamentaldaten

Fees & revenueGesperrter WertExchange volumeNetzwerkaktivitätStablecoinsStaking & yield

Valuation & risk

BewertungskennzahlenSupply & issuanceMetrik-DefinitionenRisikorahmenSicherheitsvorfälle

Institutionell

Exchange-Traded ProductsUnternehmens-TreasuriesEventsResearch-NotizenNachrichten

Lernen

Learn libraryGlossarRechnerDaten abfragenAI agentsPublic API

Über

Über unsKontaktMethodikDatenquellenRedaktionelle RichtlinieDatenaktualität

Rechtliches

HaftungsausschlüsseNutzungsbedingungenPrivacy policy