BTC$80,405.22▲ 4.43%ETH$2,415.89▲ 6.60%USDT$0.9994▲ 0.04%BNB$716.71▲ 3.08%XRP$1.30▲ 3.82%USDC$1.00▲ 0.02%SOL$95.63▲ 3.99%TRX$0.3199▼ 0.86%FIGR_HELOC$1.05▲ 1.54%ZEC$1,293.74▲ 7.36%HYPE$84.09▲ 0.98%DOGE$0.0768▲ 3.55%XMR$118.70▲ 1.61%USDS$1.00▲ 0.02%WBT$77.73▲ 5.09%LINK$11.38▲ 4.80%LEO$9.34▲ 0.37%ADA$0.1960▲ 4.81%XLM$0.1669▲ 4.37%BCH$280.30▲ 3.17%NEAR$4.01▲ 5.71%UNI$7.63▲ 7.27%DAI$1.00▲ 0.01%USDE$1.00▲ 0.06%LTC$56.09▲ 4.99%RAIN$0.005956▼ 8.35%CC$0.0994▲ 2.92%AVAX$8.67▲ 3.50%SUI$0.9261▲ 5.10%USD1$0.9995▲ 0.04%GRAM$1.17▲ 0.61%XAUT$4,084.47▲ 3.51%HBAR$0.0722▲ 5.13%QNT$201.95▲ 6.25%USDG$1.00▲ 0.01%SHIB$0.000005▲ 3.31%TAO$235.00▲ 5.45%PYUSD$1.00▲ 0.02%CRO$0.0520▲ 4.50%RLUSD$1.00▲ 0.02%BTC$80,405.22▲ 4.43%ETH$2,415.89▲ 6.60%USDT$0.9994▲ 0.04%BNB$716.71▲ 3.08%XRP$1.30▲ 3.82%USDC$1.00▲ 0.02%SOL$95.63▲ 3.99%TRX$0.3199▼ 0.86%FIGR_HELOC$1.05▲ 1.54%ZEC$1,293.74▲ 7.36%HYPE$84.09▲ 0.98%DOGE$0.0768▲ 3.55%XMR$118.70▲ 1.61%USDS$1.00▲ 0.02%WBT$77.73▲ 5.09%LINK$11.38▲ 4.80%LEO$9.34▲ 0.37%ADA$0.1960▲ 4.81%XLM$0.1669▲ 4.37%BCH$280.30▲ 3.17%NEAR$4.01▲ 5.71%UNI$7.63▲ 7.27%DAI$1.00▲ 0.01%USDE$1.00▲ 0.06%LTC$56.09▲ 4.99%RAIN$0.005956▼ 8.35%CC$0.0994▲ 2.92%AVAX$8.67▲ 3.50%SUI$0.9261▲ 5.10%USD1$0.9995▲ 0.04%GRAM$1.17▲ 0.61%XAUT$4,084.47▲ 3.51%HBAR$0.0722▲ 5.13%QNT$201.95▲ 6.25%USDG$1.00▲ 0.01%SHIB$0.000005▲ 3.31%TAO$235.00▲ 5.45%PYUSD$1.00▲ 0.02%CRO$0.0520▲ 4.50%RLUSD$1.00▲ 0.02%

Sypool vs Pyth Network

Sypool (SYP) and Pyth Network (PYTH) compared side by side. Their daily returns move barely in opposite directions (correlation -0.00 across 29 shared trading days). PYTH has been the more volatile of the two, at 98% annualised against SYP's 49%.

Correlation
-0.00
SypoolSYP

$7.457e-5

24h
-0.20%
Market cap
—
Volume 24h
$25
Volatility (ann.)
49%
Pyth NetworkPYTH

$0.066700

24h
+4.90%
Market cap
$524.17M
Volume 24h
$25.99M
Volatility (ann.)
98%
SYP 0.0%Share of the two combined market caps100.0% PYTH

Performance

SYPPYTH

  1. 7 days-1.39%-9.27%SYP
  2. 30 days-4.46%-15.68%SYP
  3. 90 days—+73.00%—
  4. 1 year—-27.15%—

Correlation

-0.00over 29 shared trading days

−1 opposite0 unrelated+1 in step
7d: insufficient data30d: -0.0090d: 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

MetricSYPPYTH
Max drawdown (400d)-17.6%-81.1%
Risk-adjusted return (90d)-0.090.78
Best 30 days (past year)—+76.8%
Worst 30 days (past year)—-46.7%

Relative strength over 90 days: SYP outperformed PYTH by 6.2% — measured on the SYP/PYTH ratio, so it holds regardless of market direction.