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About & Methodology

Stablecoin Beat was built on a simple observation: stablecoins are the most consequential monetary infrastructure built in the past decade, and no existing publication was covering them with the analytical rigour they deserve. We publish independent data, original research, and market analysis focused on stablecoins as emerging monetary instruments and payment infrastructure — not as speculative assets.

Coverage spans daily market monitoring, analytical articles, and long-form research on structural developments in digital dollar systems. Stablecoin Beat does not accept funding from stablecoin issuers and does not provide paid placement or preferential coverage.

Stablecoins Tracked 322 across 6 categories
Networks Monitored 160 chains with supply data
Collection Frequency Daily updated at 15:00 UTC
History Starts Dec 2025 100+ daily snapshots
Update Latency < 1 hour from market close to publication

Stablecoin Beat Analytical Framework (SBAF)

Stablecoin Beat applies a multi-dimensional analytical framework designed to assess stablecoins beyond price stability and capture their role as settlement assets across fragmented blockchain systems.

The framework is structured around five core dimensions:

Market Structure
Analysis of supply, market capitalisation, and issuer concentration. Tracks the distribution of market share across fiat-backed, crypto-backed, RWA-backed, and algorithmic issuers.
Liquidity & Stability
Assessment of peg behavior, secondary market liquidity, and stress conditions. Includes depeg detection, peg deviation tracking, and liquidity depth signals.
Cross-Chain Distribution
Evaluation of supply fragmentation and migration across blockchain networks. Identifies concentration risk and the evolution of multi-chain stablecoin infrastructure.
Flows & Velocity
Tracking of transfer activity and usage intensity as a proxy for economic activity. Turnover ratio, net issuance, and 7-day capital flows are core signals.
Market Signals
Detection of anomalies including depegs, supply shocks, dominance shifts, and volume dislocations. Signals feed directly into weekly recaps and automated market commentary.

This framework informs both data outputs and editorial analysis across all content formats.

Data Sources

Stablecoin Beat operates a multi-source data pipeline. Each source is authoritative for a specific domain; we do not mix sources for the same data point, and we cross-validate where coverage overlaps.

Source What We Use It For Collection
CoinGecko API Market capitalisation, price, 24h/7d change, trading volume, circulating supply for all 322 stablecoins. Primary source for all market cap figures and rankings. Daily, 15:00 UTC
DefiLlama Stablecoin API Cross-chain supply distribution — how much of each stablecoin sits on each blockchain. Powers our /networks/ section and product page chain breakdowns. Covers 230+ coins across 160 networks. Daily, 15:25 UTC
ECB FX Rates API EUR/USD and other currency rates for EUR-pegged stablecoin analysis and cross-currency comparisons. Daily, 15:05 UTC
Regulatory & industry publications Policy documents, issuer disclosures, and institutional research from the BIS, IMF, Federal Reserve, and major stablecoin issuers. Used for context and citation in analytical pieces. As published

Source of truth rules: CoinGecko is authoritative for market cap, price, and all ranking tables. DefiLlama is authoritative for per-chain supply distribution and network-level stablecoin totals. When the two sources report the same coin (e.g. USDT), they agree within 0.03% — the difference reflects coverage methodology, not data error. We never blend the two totals into a single figure.

In addition to market data providers, Stablecoin Beat references institutional and academic research on digital assets, including publications from the Bank for International Settlements (BIS), International Monetary Fund (IMF), and central banks.

Editorial & Research Methodology

Stablecoin Beat integrates data-driven insights with structured editorial and research processes. Content is produced across four formats:

News & Market Updates
Short-form coverage of market developments, protocol launches, and industry events based on verifiable public information.
Weekly Recaps
Structured summaries of market activity derived from internal datasets, including market capitalisation changes, flows, and signal events.
Analytical Articles
In-depth analysis combining internal data signals with external sources such as company disclosures, industry reports, and policy publications.
Long-Form Research
Extended reports examining structural themes such as stablecoin adoption, cross-chain liquidity fragmentation, and monetary implications.

Editorial Process

Stablecoin Beat maintains a separation between data, editorial, and research functions.

Where uncertainty exists in an interpretation, it is reflected explicitly in the framing. We do not present model outputs or inferred figures as primary data.

Coverage & Categories

We track all coins that CoinGecko classifies under one of the six stablecoin categories below. Coverage is not filtered by market cap or commercial criteria — if CoinGecko categorises a coin as a stablecoin, we include it.

Category Count Description
USD Stablecoin187Tokens pegged to the US Dollar (USDT, USDC, USDS, PYUSD, RLUSD, etc.)
Yield-Bearing73Tokens that accrue yield while maintaining a stable value (sUSDS, sUSDe, USDY, etc.)
Crypto-Backed34Stablecoins overcollateralised by on-chain crypto assets (DAI, GHO, crvUSD, etc.)
EUR Stablecoin21Tokens pegged to the Euro (EURC, EURA, EURe, EURCV, etc.)
Algorithmic6Supply-elastic tokens targeting price stability without full collateral
Commodity-Backed1Tokens backed by physical commodities (XAUT — gold)

Our historical archive begins on 11 December 2025. Prior data was backfilled from CoinGecko's historical market chart API, covering all 322 tracked coins.

Stablecoin Taxonomy

We classify every stablecoin along three independent dimensions. These are orthogonal — a coin can be fiat-backed, USD-pegged, and yield-bearing simultaneously.

Backing Mechanism
Fiat-backed — reserves in bank or custodian (USDT, USDC, FDUSD).

Crypto-backed — overcollateralised with on-chain crypto (DAI, GHO).

RWA-backed — backed by tokenised real-world assets where yield flows to holder (USDY, USD0).

Commodity-backed — physical commodities (XAUT).

Algorithmic — stability maintained algorithmically with minimal collateral.
Peg Currency
The fiat currency or asset the token targets: USD, EUR, GBP, CHF, JPY, CNH, MXN, XAU (gold), XAG (silver), or BASKET (multi-currency).

USD dominates at >95% of total stablecoin market cap. EUR is the second-largest category by coin count.
Yield-Bearing
Boolean flag indicating whether the token itself accrues value or distributes income to holders.

Many coins come in base/yield pairs: USDe/sUSDe, DAI/sDAI, USD0/USD0++. We track both versions with explicit links between them.

Metrics & Calculations

The following metrics appear across our Tracker, Charts, network pages, and weekly commentary. All formulas are applied consistently across the full dataset.

Market Capitalisation
The total USD value of all tokens in circulation. For stablecoins pegged to $1.00, this approximates the number of tokens in existence.
market cap = circulating supply × current price
Total Market Cap
Sum of market caps for all 322 tracked stablecoins via CoinGecko. Differs from DefiLlama's total, which covers more coins but uses on-chain supply.
total = Σ market_cap (CoinGecko, 322 coins)
Dominance
A coin's share of the total tracked stablecoin market. USDT dominance above 60% is the historical baseline; shifts signal capital rotation between issuers.
dominance = coin market cap ÷ total market cap × 100
7-Day Change
Percentage change in market cap versus the snapshot from approximately 7 days prior. Calculated by comparing the latest daily snapshot to the closest available snapshot within the preceding 7-day window.
7d change = (current − prev) ÷ prev × 100
Turnover Ratio
24-hour trading volume divided by market cap. A high turnover ratio indicates active settlement or arbitrage use; a low ratio suggests the coin is primarily used as collateral or held passively.
turnover = volume_24h ÷ market_cap × 100
Chain Supply
USD-equivalent stablecoin supply on a specific blockchain, sourced from DefiLlama. Chains with less than $1,000,000 in supply for a given coin are excluded as dust.
Source: DefiLlama Stablecoin API (on-chain)

Original Indicators & Quantitative Methodology

Stablecoin Beat publishes ten original quantitative indicators, each updated daily as a time series. The frameworks behind them come from central bank research, academic finance, and antitrust analysis, applied to stablecoin market data and published as live interactive charts at stablecoinbeat.com/charts/.

Market Concentration (HHI)
Herfindahl-Hirschman Index across all tracked stablecoins. The DOJ and FTC use the same index and the same 2,500-point threshold to define highly concentrated markets in merger reviews. Current reading: above 3,800.
HHI = Σ (market_share_i)² × 10,000
Issuer Concentration
HHI and Theil entropy index computed at the issuer level rather than the coin level, grouping all products from Tether, Circle, Sky/MakerDAO, and others. This is the metric that answers systemic risk questions about single-entity failure.
Theil T = Σ s_i × ln(s_i × N)
Monetary Velocity
Turnover of stablecoin supply, following the Federal Reserve's quantity theory of money framework (MV = PQ). High velocity indicates active settlement use. Low velocity indicates collateral locking or passive holding.
V = Volume_24h / Market_Cap
Liquidity Depth Score
A size-normalised liquidity measure based on the Amihud (2002) illiquidity ratio, adapted for stablecoin markets. Measures how much trading volume a coin generates relative to its square-root market cap — a proxy for depth at scale.
L = Volume_24h / √Market_Cap
Peg Stability Score
Rolling 30-day composite score per coin combining price standard deviation and depeg event frequency. Depeg events are defined as any day where the coin trades more than 0.5% from its target peg. Yield-bearing tokens are excluded from this measure.
Score = (1 − stddev(price)) × 100 − (events × penalty)
Supply Shock Index
Measures whether new stablecoin issuance is outpacing transactional demand. A reading above 1.0 means supply is expanding faster than the market is absorbing it through activity. Adapted from stock-to-flow demand absorption models.
SSI = Supply_change_30d / (Avg_daily_volume × 30)
Redemption Pressure
An early-warning signal for coins showing simultaneous supply contraction and price divergence from peg. Both conditions must be present: a coin losing market cap alone is not flagged; a coin with a small price deviation alone is not flagged.
Flag = (30d growth < −5%) AND (7d price avg < 0.998)
Rolling Correlation Matrix
30-day Pearson correlation of daily market cap percentage changes across the top stablecoins. Uniformly high correlations indicate macro-driven market events. Negative or diverging correlations signal issuer-specific capital flows or user rotation between coins.
r = Cov(X,Y) / (σ_X × σ_Y), rolling 30-day window
Market Beta
Rolling OLS regression of each coin's daily market cap change against the total stablecoin market. Coins with beta above 1.0 amplify market moves; coins with negative beta are gaining or losing share counter-cyclically.
β = Cov(ΔCoin, ΔMarket) / Var(ΔMarket)
Granger Causality
Rolling F-test based on Granger (1969), assessing whether past USDT market cap changes carry predictive information about future USDC changes, and vice versa. Computed using the Frisch-Waugh-Lovell theorem for numerical stability. A significant F-statistic in one direction identifies the leading coin in the pair.
F = ((RSS_r − RSS_u) / 1) / (RSS_u / (n−3))

These indicators started as internal research tools before becoming public-facing pages. Our analysts use the full suite when writing Insights articles, weekly market recaps, and our forthcoming quarterly intelligence reports. When the Granger test shows a directional shift between USDT and USDC, or the HHI moves outside its historical range, our team investigates what is driving it and publishes the analysis. The indicators are the research infrastructure. The articles and reports are what comes out of it.

Market Monitoring & Analysis

In addition to the daily data archive, Stablecoin Beat monitors 322 stablecoins for significant market events. When a meaningful signal is identified, our editorial team analyses it and publishes commentary to @Stablecoin_beat and our weekly recap.

Events we track include: depeg events (any stablecoin trading more than 0.5% from its peg); large capital flows (significant week-over-week market cap change relative to total market size); dominance shifts (a coin's market share moving more than 2 percentage points in 7 days); market cap milestones (a coin crossing a round-number threshold such as $1B, $5B, or $10B); and category-level flows (aggregate movements within yield-bearing, crypto-backed, or EUR stablecoin segments).

All market commentary is factual and grounded in our primary data. News coverage draws on financial and regulatory publications and requires source attribution and precision in any numerical claims.

Editorial Standards

Stablecoin Beat is an independent publication. We do not accept sponsored content, paid placements, affiliate arrangements, or any compensation from stablecoin issuers, protocols, or financial institutions.

Our data coverage is determined entirely by CoinGecko's taxonomy — we do not add or remove coins from our universe based on commercial relationships. Commentary in our weekly recaps and Insights articles is based solely on publicly available market data and cited sources.

When we make an error in data or commentary, we correct it promptly and note the correction in the affected piece. We do not silently edit published content.

Who Uses Stablecoin Beat

Stablecoin Beat is designed for:

Corrections & Contact

If you spot an error in our data or commentary, or have a question about our methodology, reach out via X / Twitter @Stablecoin_beat. We review all methodological queries and respond publicly where the answer is relevant to other readers.

Data lag: Our tracker and charts reflect the most recent 15:00 UTC snapshot. Intraday price movements are not captured. Cross-chain supply data updates at 15:25 UTC. If a major market event occurs between daily snapshots (e.g. a depeg), the data will update at the next collection window.

References

  1. Bank for International Settlements, "The future monetary system," BIS Annual Economic Report 2023. bis.org/publ/arpdf/ar2023e3.htm
  2. International Monetary Fund, "Global Financial Stability Report." imf.org/en/Publications/GFSR
  3. BIS Committee on Payments and Market Infrastructures, "Stablecoins: Implications for monetary policy, financial stability, market infrastructure and payments, and consumer protection." bis.org/cpmi/publ/d198.htm
  4. Kaiko Research, Digital Asset Market Structure Reports. research.kaiko.com
  5. Federal Reserve, Stablecoin Research and Policy Papers. federalreserve.gov