The charts section is Stablecoin Beat's statistical core. Its daily indicators measure the stablecoin economy the way a statistical office measures any economy: size and structure, how individual coins behave, and how the market moves as a whole. 17 core indicators are organized into Market Structure, Coin Behavior and Market Dynamics; 4 further chapters cover Macro Environment, DeFi & Yields, Dollar & EM, and News Intelligence. It adapts macro, liquidity, concentration and risk indicators commonly used in financial-market analysis to the stablecoin market.
As of 13 September 2026, the stablecoin market totaled $304.7B, with Tether (USDT) at 60.2% of supply and USDC at 24.4%. Market concentration (HHI) reads 4,237, highly concentrated.
Total USD value of all stablecoins tracked.
Base supply, bridge-wrapped representations and claim-lineage wrappers, with the representation multiplier — gross dollar claims per dollar of base stablecoin.
USDT and USDC percentage share of total stablecoin market cap over time.
Herfindahl-Hirschman Index across all tracked stablecoins. 2023 DOJ/FTC threshold: >1,800 is highly concentrated.
Estimated annualized reserve income across USD par-pegged issuers — supply × the 3-month T-bill rate — with a per-issuer breakdown. A stated-assumption estimate, updated daily.
Explore reserve income →Shannon entropy of stablecoin supply distribution across 150+ blockchains. Tracks whether settlement is concentrating or fragmenting over time.
Explore chain distribution →Aggregate monetary velocity (V = Volume ÷ Market Cap), 7-day rolling average. MV=PQ framework.
Rolling 30-day peg stability score per stablecoin, based on mean absolute deviation from $1.00 and depeg event count (>0.5% threshold).
L = Volume ÷ √Market Cap. Normalizes liquidity by size, provides a comparable liquidity proxy across coins from supply scale. Critical for institutional execution decisions.
Logistic S-curve fit to each coin's market cap history. Reveals each stablecoin's position in its adoption lifecycle: Early Growth, Acceleration, Maturity, or Saturation.
Explore adoption phases →K-means on velocity, growth rate, volatility and beta, all size-normalized. Groups stablecoins by how they behave, not how large they are. Elbow-selected k.
Explore behavioral clusters →SSI = rolling 30-day % change in total stablecoin market cap. Above 6% signals a supply shock; below 0 = net redemption.
Per-coin 7D / 30D / 90D market cap flow analysis. Traffic-light table across coins ≥$500M. Net 30D aggregate flow.
30-day Pearson correlation of daily market cap % changes between USDT and USDC. High readings are consistent with common macro drivers; low readings with issuer-specific dynamics.
Rolling 90-day OLS β per coin vs total market. β > 1 = amplifies market moves. β < 1 = defensive or counter-cyclical.
Rolling 60-day Granger F-test: does USDT lead or lag USDC in market cap changes? F > 3.84 = significant. Reveals monetary leadership between the two largest issuers.
Jacobi eigendecomposition of the stablecoin returns covariance matrix. PC1 captures the dominant market-wide factor. PC2 reveals structural differentiation between coin types.
Financial-stability monitoring and cross-border dollarization tracking
CFOs, treasurers, T-bill vs DeFi allocation decisions; FX hedging via stablecoins
Protocol risk officers, depeg signals, redemption pressure, concentration monitoring
Treasury, ESMA, FSB analysts, systemic-risk indicators, MiCA compliance context, issuer landscape