BTC$75,868.01▼ 5.30%ETH$2,231.97▼ 7.64%USDT$0.9989▼ 0.04%BNB$688.96▼ 3.79%XRP$1.22▼ 5.96%USDC$1.00▼ 0.02%SOL$89.98▼ 4.88%TRX$0.3185▼ 0.44%FIGR_HELOC$1.05▲ 1.51%ZEC$1,263.61▼ 2.16%HYPE$77.89▼ 5.17%XMR$118.70▼ 3.47%DOGE$0.0720▼ 5.77%USDS$1.00▲ 0.02%WBT$72.98▼ 5.92%LEO$9.32▼ 0.22%LINK$10.71▼ 6.18%ADA$0.1823▼ 6.78%BCH$272.50▼ 2.93%XLM$0.1541▼ 7.03%NEAR$3.71▼ 7.48%USDE$1.00▼ 0.10%DAI$1.00▲ 0.02%RAIN$0.005929▼ 0.45%UNI$6.84▼ 9.97%LTC$52.09▼ 6.87%CC$0.0973▼ 0.73%AVAX$8.29▼ 4.70%USD1$0.9997▼ 0.02%SUI$0.8485▼ 7.45%XAUT$4,074.58▲ 0.66%GRAM$1.12▼ 5.37%HBAR$0.0679▼ 5.54%USDG$1.00▲ 0.02%QNT$189.65▼ 5.99%PYUSD$1.00▲ 0.01%SHIB$0.000005▼ 3.64%RLUSD$1.00▲ 0.05%TAO$218.40▼ 6.42%CRO$0.0491▼ 4.84%BTC$75,868.01▼ 5.30%ETH$2,231.97▼ 7.64%USDT$0.9989▼ 0.04%BNB$688.96▼ 3.79%XRP$1.22▼ 5.96%USDC$1.00▼ 0.02%SOL$89.98▼ 4.88%TRX$0.3185▼ 0.44%FIGR_HELOC$1.05▲ 1.51%ZEC$1,263.61▼ 2.16%HYPE$77.89▼ 5.17%XMR$118.70▼ 3.47%DOGE$0.0720▼ 5.77%USDS$1.00▲ 0.02%WBT$72.98▼ 5.92%LEO$9.32▼ 0.22%LINK$10.71▼ 6.18%ADA$0.1823▼ 6.78%BCH$272.50▼ 2.93%XLM$0.1541▼ 7.03%NEAR$3.71▼ 7.48%USDE$1.00▼ 0.10%DAI$1.00▲ 0.02%RAIN$0.005929▼ 0.45%UNI$6.84▼ 9.97%LTC$52.09▼ 6.87%CC$0.0973▼ 0.73%AVAX$8.29▼ 4.70%USD1$0.9997▼ 0.02%SUI$0.8485▼ 7.45%XAUT$4,074.58▲ 0.66%GRAM$1.12▼ 5.37%HBAR$0.0679▼ 5.54%USDG$1.00▲ 0.02%QNT$189.65▼ 5.99%PYUSD$1.00▲ 0.01%SHIB$0.000005▼ 3.64%RLUSD$1.00▲ 0.05%TAO$218.40▼ 6.42%CRO$0.0491▼ 4.84%

Deepnets vs Pyth Network

Pyth Network (PYTH) is 36428.2× the size of Deepnets (DNET) by market capitalisation. Their daily returns move barely in opposite directions (correlation -0.14 across 33 shared trading days). Both have run at a similar volatility, around 96% annualised.

Correlation
-0.14
Size ratio
1 : 36428.2
DeepnetsDNET

$1.439e-5

24h
+3.71%
Market cap
$13,775
Volume 24h
$19
Volatility (ann.)
95%
Pyth NetworkPYTH

$0.063600

24h
-4.47%
Market cap
$501.81M
Volume 24h
$22.65M
Volatility (ann.)
98%
DNET 0.0%Share of the two combined market caps100.0% PYTH

Performance

DNETPYTH

  1. 7 days-23.32%-9.27%PYTH
  2. 30 days-38.32%-15.68%PYTH
  3. 90 days—+73.00%—
  4. 1 year—-27.15%—

Correlation

-0.14over 33 shared trading days

−1 opposite0 unrelated+1 in step
7d: insufficient data30d: -0.1590d: 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

MetricDNETPYTH
Max drawdown (400d)-45.1%-81.1%
Risk-adjusted return (90d)-0.400.78
Best 30 days (past year)—+76.8%
Worst 30 days (past year)—-46.7%

Relative strength over 90 days: PYTH outperformed DNET by 30.6% — measured on the DNET/PYTH ratio, so it holds regardless of market direction.