BTC$76,232.00▼ 5.27%ETH$2,254.63▼ 7.12%USDT$0.9991▼ 0.02%BNB$693.22▼ 3.35%XRP$1.24▼ 5.66%USDC$1.00▼ 0.01%SOL$89.82▼ 6.45%TRX$0.3181▼ 0.62%FIGR_HELOC$1.05▲ 1.60%ZEC$1,234.05▼ 3.51%HYPE$78.11▼ 7.16%XMR$118.70▼ 2.52%DOGE$0.0721▼ 6.35%USDS$1.00▼ 0.01%WBT$73.29▼ 5.81%LEO$9.32▼ 0.03%LINK$10.75▼ 6.70%ADA$0.1830▼ 7.28%BCH$274.90▼ 2.14%XLM$0.1539▼ 8.14%NEAR$3.69▼ 8.73%DAI$1.00▲ 0.04%USDE$1.00▼ 0.04%RAIN$0.006155▼ 2.49%UNI$6.82▼ 10.39%LTC$52.19▼ 7.20%CC$0.0960▼ 1.97%AVAX$8.31▼ 5.98%USD1$0.9989▼ 0.08%SUI$0.8528▼ 8.75%XAUT$4,094.08▲ 0.98%GRAM$1.11▼ 5.83%HBAR$0.0679▼ 6.00%USDG$1.00▲ 0.00%QNT$190.61▼ 6.01%PYUSD$1.0000▼ 0.01%SHIB$0.000005▼ 4.07%RLUSD$1.00▲ 0.03%TAO$219.00▼ 7.10%CRO$0.0489▼ 5.61%BTC$76,232.00▼ 5.27%ETH$2,254.63▼ 7.12%USDT$0.9991▼ 0.02%BNB$693.22▼ 3.35%XRP$1.24▼ 5.66%USDC$1.00▼ 0.01%SOL$89.82▼ 6.45%TRX$0.3181▼ 0.62%FIGR_HELOC$1.05▲ 1.60%ZEC$1,234.05▼ 3.51%HYPE$78.11▼ 7.16%XMR$118.70▼ 2.52%DOGE$0.0721▼ 6.35%USDS$1.00▼ 0.01%WBT$73.29▼ 5.81%LEO$9.32▼ 0.03%LINK$10.75▼ 6.70%ADA$0.1830▼ 7.28%BCH$274.90▼ 2.14%XLM$0.1539▼ 8.14%NEAR$3.69▼ 8.73%DAI$1.00▲ 0.04%USDE$1.00▼ 0.04%RAIN$0.006155▼ 2.49%UNI$6.82▼ 10.39%LTC$52.19▼ 7.20%CC$0.0960▼ 1.97%AVAX$8.31▼ 5.98%USD1$0.9989▼ 0.08%SUI$0.8528▼ 8.75%XAUT$4,094.08▲ 0.98%GRAM$1.11▼ 5.83%HBAR$0.0679▼ 6.00%USDG$1.00▲ 0.00%QNT$190.61▼ 6.01%PYUSD$1.0000▼ 0.01%SHIB$0.000005▼ 4.07%RLUSD$1.00▲ 0.03%TAO$219.00▼ 7.10%CRO$0.0489▼ 5.61%

April vs Pyth Network

Pyth Network (PYTH) is 11346.8× the size of April (APRIL) by market capitalisation. Their daily returns move barely in opposite directions (correlation -0.09 across 35 shared trading days). PYTH has been the more volatile of the two, at 98% annualised against APRIL's 33%.

Correlation
-0.09
Size ratio
1 : 11346.8
AprilAPRIL

$0.000349

24h
+3.63%
Market cap
$43,661
Volume 24h
$15
Volatility (ann.)
33%
Pyth NetworkPYTH

$0.063060

24h
-5.27%
Market cap
$495.41M
Volume 24h
$21.18M
Volatility (ann.)
98%
APRIL 0.0%Share of the two combined market caps100.0% PYTH

Performance

APRILPYTH

  1. 7 days-5.86%-9.27%APRIL
  2. 30 days-10.47%-15.68%APRIL
  3. 90 days—+73.00%—
  4. 1 year—-27.15%—

Correlation

-0.09over 35 shared trading days

−1 opposite0 unrelated+1 in step
7d: insufficient data30d: -0.1390d: 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

MetricAPRILPYTH
Max drawdown (400d)-12.3%-81.1%
Risk-adjusted return (90d)-0.240.78
Best 30 days (past year)—+76.8%
Worst 30 days (past year)—-46.7%

Relative strength over 90 days: APRIL outperformed PYTH by 2.5% — measured on the APRIL/PYTH ratio, so it holds regardless of market direction.