BTC$75,592.01▼ 4.98%ETH$2,238.73▼ 6.21%USDT$0.9994▲ 0.02%BNB$687.00▼ 3.19%XRP$1.24▼ 4.57%USDC$1.00▲ 0.03%SOL$89.31▼ 5.90%TRX$0.3161▼ 1.15%FIGR_HELOC$1.04▲ 1.39%ZEC$1,219.87▼ 4.50%HYPE$77.85▼ 7.84%XMR$118.70▼ 3.26%DOGE$0.0714▼ 6.15%USDS$1.00▲ 0.03%WBT$73.58▼ 5.49%LEO$9.35▲ 0.34%LINK$10.61▼ 6.83%ADA$0.1809▼ 6.48%BCH$277.50▲ 0.44%XLM$0.1530▼ 8.01%NEAR$3.66▼ 9.57%DAI$1.00▲ 0.03%USDE$0.9999▼ 0.04%UNI$6.67▼ 9.56%RAIN$0.005749▼ 1.14%LTC$51.56▼ 6.52%CC$0.0943▼ 5.51%AVAX$8.14▼ 7.22%USD1$0.9990▼ 0.04%SUI$0.8425▼ 8.71%XAUT$4,068.17▲ 1.57%GRAM$1.10▼ 6.86%HBAR$0.0670▼ 6.10%USDG$1.00▲ 0.03%QNT$190.49▼ 5.60%PYUSD$1.00▲ 0.01%SHIB$0.000004▼ 5.27%RLUSD$1.00▲ 0.04%TAO$215.10▼ 7.38%CRO$0.0494▼ 5.29%BTC$75,592.01▼ 4.98%ETH$2,238.73▼ 6.21%USDT$0.9994▲ 0.02%BNB$687.00▼ 3.19%XRP$1.24▼ 4.57%USDC$1.00▲ 0.03%SOL$89.31▼ 5.90%TRX$0.3161▼ 1.15%FIGR_HELOC$1.04▲ 1.39%ZEC$1,219.87▼ 4.50%HYPE$77.85▼ 7.84%XMR$118.70▼ 3.26%DOGE$0.0714▼ 6.15%USDS$1.00▲ 0.03%WBT$73.58▼ 5.49%LEO$9.35▲ 0.34%LINK$10.61▼ 6.83%ADA$0.1809▼ 6.48%BCH$277.50▲ 0.44%XLM$0.1530▼ 8.01%NEAR$3.66▼ 9.57%DAI$1.00▲ 0.03%USDE$0.9999▼ 0.04%UNI$6.67▼ 9.56%RAIN$0.005749▼ 1.14%LTC$51.56▼ 6.52%CC$0.0943▼ 5.51%AVAX$8.14▼ 7.22%USD1$0.9990▼ 0.04%SUI$0.8425▼ 8.71%XAUT$4,068.17▲ 1.57%GRAM$1.10▼ 6.86%HBAR$0.0670▼ 6.10%USDG$1.00▲ 0.03%QNT$190.49▼ 5.60%PYUSD$1.00▲ 0.01%SHIB$0.000004▼ 5.27%RLUSD$1.00▲ 0.04%TAO$215.10▼ 7.38%CRO$0.0494▼ 5.29%

Modefi vs Pyth Network

Pyth Network (PYTH) is 1343.4× the size of Modefi (MOD) by market capitalisation. Their daily returns move loosely together (correlation 0.36 across 64 shared trading days). MOD has been the more volatile of the two, at 266% annualised against PYTH's 98%.

Correlation
0.36
Size ratio
1 : 1343.4
ModefiMOD

$0.022515

24h
—
Market cap
$361,969
Volume 24h
—
Volatility (ann.)
266%
Pyth NetworkPYTH

$0.060370

24h
-7.76%
Market cap
$486.29M
Volume 24h
$19.64M
Volatility (ann.)
98%
MOD 0.1%Share of the two combined market caps99.9% PYTH

Performance

MODPYTH

  1. 7 days-98.47%-9.27%PYTH
  2. 30 days-98.23%-15.68%PYTH
  3. 90 days—+73.00%—
  4. 1 year—-27.15%—

Correlation

0.36over 64 shared trading days

−1 opposite0 unrelated+1 in step
7d: insufficient data30d: 0.3690d: insufficient data1y: insufficient data

Measured on daily returns rather than on prices. Two assets that both simply trend upward score near 1.0 on raw prices whether or not they move together, so returns are what answer the question people mean by correlation.

Risk & extremes

MetricMODPYTH
Max drawdown (400d)-99.5%-81.1%
Risk-adjusted return (90d)-0.370.78
Best 30 days (past year)—+76.8%
Worst 30 days (past year)—-46.7%

Relative strength over 90 days: PYTH outperformed MOD by 98.6% — measured on the MOD/PYTH ratio, so it holds regardless of market direction.