BTC$76,052.96▼ 5.27%ETH$2,248.04▼ 7.12%USDT$0.9991▼ 0.02%BNB$692.15▼ 3.35%XRP$1.23▼ 5.66%USDC$1.00▼ 0.01%SOL$89.47▼ 6.45%TRX$0.3178▼ 0.62%FIGR_HELOC$1.05▲ 1.60%ZEC$1,230.66▼ 3.51%HYPE$77.71▼ 7.16%XMR$118.70▼ 2.52%DOGE$0.0719▼ 6.35%USDS$1.00▼ 0.01%WBT$73.29▼ 5.81%LEO$9.32▼ 0.03%LINK$10.71▼ 6.70%ADA$0.1821▼ 7.28%BCH$273.60▼ 2.14%XLM$0.1535▼ 8.14%NEAR$3.69▼ 8.73%DAI$1.00▲ 0.04%USDE$1.00▼ 0.04%RAIN$0.006155▼ 2.49%UNI$6.81▼ 10.39%LTC$52.03▼ 7.20%CC$0.0960▼ 1.97%AVAX$8.28▼ 5.98%USD1$0.9989▼ 0.08%SUI$0.8501▼ 8.75%XAUT$4,086.79▲ 0.98%GRAM$1.11▼ 5.83%HBAR$0.0677▼ 6.00%USDG$1.00▲ 0.00%QNT$190.62▼ 6.01%PYUSD$1.0000▼ 0.01%SHIB$0.000005▼ 4.07%RLUSD$1.00▲ 0.03%TAO$218.00▼ 7.10%CRO$0.0489▼ 5.61%BTC$76,052.96▼ 5.27%ETH$2,248.04▼ 7.12%USDT$0.9991▼ 0.02%BNB$692.15▼ 3.35%XRP$1.23▼ 5.66%USDC$1.00▼ 0.01%SOL$89.47▼ 6.45%TRX$0.3178▼ 0.62%FIGR_HELOC$1.05▲ 1.60%ZEC$1,230.66▼ 3.51%HYPE$77.71▼ 7.16%XMR$118.70▼ 2.52%DOGE$0.0719▼ 6.35%USDS$1.00▼ 0.01%WBT$73.29▼ 5.81%LEO$9.32▼ 0.03%LINK$10.71▼ 6.70%ADA$0.1821▼ 7.28%BCH$273.60▼ 2.14%XLM$0.1535▼ 8.14%NEAR$3.69▼ 8.73%DAI$1.00▲ 0.04%USDE$1.00▼ 0.04%RAIN$0.006155▼ 2.49%UNI$6.81▼ 10.39%LTC$52.03▼ 7.20%CC$0.0960▼ 1.97%AVAX$8.28▼ 5.98%USD1$0.9989▼ 0.08%SUI$0.8501▼ 8.75%XAUT$4,086.79▲ 0.98%GRAM$1.11▼ 5.83%HBAR$0.0677▼ 6.00%USDG$1.00▲ 0.00%QNT$190.62▼ 6.01%PYUSD$1.0000▼ 0.01%SHIB$0.000005▼ 4.07%RLUSD$1.00▲ 0.03%TAO$218.00▼ 7.10%CRO$0.0489▼ 5.61%

PredicTools vs Pyth Network

Pyth Network (PYTH) is 57677.5× the size of PredicTools (PREDIC) by market capitalisation. Their daily returns move barely together (correlation 0.07 across 22 shared trading days). PYTH has been the more volatile of the two, at 98% annualised against PREDIC's 47%.

Correlation
0.07
Size ratio
1 : 57677.5
PredicToolsPREDIC

$8.590e-6

24h
+0.56%
Market cap
$8,589
Volume 24h
$4
Volatility (ann.)
47%
Pyth NetworkPYTH

$0.062880

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

Performance

PREDICPYTH

  1. 7 days-12.14%-9.27%PYTH
  2. 30 days—-15.68%—
  3. 90 days—+73.00%—
  4. 1 year—-27.15%—

Correlation

0.07over 22 shared trading days

−1 opposite0 unrelated+1 in step
7d: insufficient data30d: insufficient data90d: 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

MetricPREDICPYTH
Max drawdown (400d)-25.8%-81.1%
Risk-adjusted return (90d)-0.530.78
Best 30 days (past year)—+76.8%
Worst 30 days (past year)—-46.7%

Relative strength over 90 days: PYTH outperformed PREDIC by 16.3% — measured on the PREDIC/PYTH ratio, so it holds regardless of market direction.