Pyth Network
PYTH Rank #134Live price · multi-source dashboard · Updated 8 hours ago
Pyth Network — key facts
- Price
- $0.0383
- 24h change
- -2.60%
- Market cap
- $301.22M
- Market rank
- #134
- 24h volume
- $16.24M
- Circ. supply
- 7,874,981,746 PYTH
- From all-time high
- -96.7%
- Last updated
Market pulse
Live editorial snapshot — numbers update on every refresh
Today's state: Pyth Network is trading at $0.038250 with a $0.3 billion market capitalization (rank #208). The price moved -2.60% over the past 24 hours and is +11.29% over 7 days; the 30-day move stands at +11.33% and the 90-day at -4.61%.
Position vs cycle: A drawdown of more than 70% from the last cycle high puts the asset firmly in deep-bear territory, where recoveries have historically required a fresh demand catalyst rather than mere mean-reversion.
Volatility and structure: 30-day realized volatility of 96.8% annualized is high for an asset this size. Our composite multi-horizon Price Strength reads Bearish (38/100), against a weakening multi-horizon backdrop with cumulative pressure across 30/90-day windows.
Composite scorecards
Derived metrics composed from multi-horizon data
Composite of 24h/7d/30d/90d/1y returns weighted toward longer horizons.
24h volume / market cap = 5.392%.
Annualized std-dev of daily log returns.
% of all-time high currently held.
Multiple over 52-week low. Log scale.
Over the last day Pyth Network lost 2.60%, with its 7-day move 11.29% higher and its 30-day move 11.33% higher. Over the trailing 365 days, the asset has delivered gains of 0.00%, against a weakening multi-horizon backdrop.
The asset currently trades 96.7% below its all-time high, deep in the post-peak drawdown regime where statistical mean-reversion historically matters less than narrative and liquidity flow. 30-day realized volatility sits at 97% annualized — high territory for a crypto asset of this size.
Right now Pyth Network is exhibiting deep order books and broad exchange coverage. 24-hour trading volume represents 5.392% of market capitalization — our liquidity-health composite scores this as Deep (90/100). This ratio is materially above the top-50 average, often indicating elevated speculative interest or an active news cycle.
The 90-day Pearson correlation of PYTH's daily returns versus Bitcoin's is +0.56 — a moderate positive relationship. There is a meaningful but incomplete link between Pyth Network and Bitcoin; the asset has its own drivers too, which limits how much it dampens BTC-driven swings.
Performance grid
% return across 9 horizons — heatmap by magnitude
Data refreshed 8 hours ago · auto-updates daily
Price history table
Last 30 trading days · daily OHLC
| Date | Open | High | Low | Close | Change |
|---|---|---|---|---|---|
| 2026-07-04 | $0.0392 | $0.0393 | $0.0376 | $0.0383 | -2.42% |
| 2026-07-03 | $0.0387 | $0.0404 | $0.0385 | $0.0393 | +1.37% |
| 2026-07-02 | $0.0377 | $0.0418 | $0.0374 | $0.0387 | +2.76% |
| 2026-07-01 | $0.0375 | $0.0405 | $0.0367 | $0.0377 | +0.45% |
| 2026-06-30 | $0.0361 | $0.0431 | $0.0352 | $0.0375 | +3.93% |
| 2026-06-29 | $0.0337 | $0.0385 | $0.0334 | $0.0361 | +7.31% |
| 2026-06-28 | $0.0335 | $0.0346 | $0.0330 | $0.0337 | +0.42% |
| 2026-06-27 | $0.0344 | $0.0357 | $0.0333 | $0.0335 | -2.50% |
| 2026-06-26 | $0.0324 | $0.0349 | $0.0311 | $0.0344 | +6.08% |
| 2026-06-25 | $0.0338 | $0.0345 | $0.0309 | $0.0324 | -4.14% |
| 2026-06-24 | $0.0351 | $0.0357 | $0.0323 | $0.0338 | -3.70% |
| 2026-06-23 | $0.0366 | $0.0376 | $0.0340 | $0.0351 | -4.10% |
| 2026-06-22 | $0.0357 | $0.0385 | $0.0357 | $0.0366 | +2.52% |
| 2026-06-21 | $0.0365 | $0.0378 | $0.0355 | $0.0357 | -2.19% |
| 2026-06-20 | $0.0360 | $0.0374 | $0.0351 | $0.0365 | +1.39% |
| 2026-06-19 | $0.0359 | $0.0363 | $0.0347 | $0.0361 | +0.56% |
| 2026-06-18 | $0.0390 | $0.0397 | $0.0355 | $0.0359 | -7.95% |
| 2026-06-17 | $0.0392 | $0.0410 | $0.0382 | $0.0390 | -0.51% |
| 2026-06-16 | $0.0388 | $0.0406 | $0.0384 | $0.0392 | +1.03% |
| 2026-06-15 | $0.0394 | $0.0422 | $0.0384 | $0.0388 | -1.52% |
| 2026-06-14 | $0.0380 | $0.0405 | $0.0377 | $0.0394 | +3.68% |
| 2026-06-13 | $0.0371 | $0.0401 | $0.0370 | $0.0381 | +2.70% |
| 2026-06-12 | $0.0380 | $0.0403 | $0.0365 | $0.0371 | -2.37% |
| 2026-06-11 | $0.0311 | $0.0387 | $0.0311 | $0.0381 | +22.51% |
| 2026-06-10 | $0.0317 | $0.0328 | $0.0301 | $0.0311 | -1.89% |
| 2026-06-09 | $0.0316 | $0.0322 | $0.0299 | $0.0317 | +0.32% |
| 2026-06-08 | $0.0320 | $0.0325 | $0.0310 | $0.0316 | -1.25% |
| 2026-06-07 | $0.0313 | $0.0328 | $0.0303 | $0.0320 | +2.24% |
| 2026-06-06 | $0.0319 | $0.0323 | $0.0295 | $0.0313 | -1.88% |
| 2026-06-05 | $0.0345 | $0.0346 | $0.0302 | $0.0319 | -7.54% |
Technical analysis
RSI · MACD · moving averages · Bollinger
- R$0.0385
- R$0.0422
- R$0.0423
- R$0.0431
- S$0.0364
- S$0.0374
- S$0.0381
- S$0.0382
Derivatives & leverage
Perpetual-futures positioning from Hyperliquid · PYTH-PERP
Funding is positive at +11.0%/yr, so long positions are paying shorts — leverage on Hyperliquid is currently skewed bullish. Persistent positive funding can precede long-squeeze pullbacks.
Perpetual-futures data from Hyperliquid, the leading on-chain perp DEX. Funding is paid hourly; a positive rate means long holders pay shorts. Derivatives positioning is informational, not a trade signal.
Multi-model price forecast
3-model ensemble · TA + statistical + peer-relative
Per-model breakdown +
| Model | Horizon | Low | Mid | High | Method |
|---|---|---|---|---|---|
| Technical | Short | $0.0326 | $0.0376 | $0.0426 | TA composite (ATR + Bollinger + slope) |
| Technical | Mid | $0.0298 | $0.0365 | $0.0478 | TA composite (ATR + Bollinger + slope) |
| Technical | Long | $0.0281 | $0.0401 | $0.0522 | TA composite (ATR + Bollinger + slope) |
| Monte Carlo | Short | $0.0308 | $0.0374 | $0.0455 | Monte Carlo on 90d log returns |
| Monte Carlo | Mid | $0.0233 | $0.0349 | $0.0522 | Monte Carlo on 90d log returns |
| Monte Carlo | Long | $0.008209 | $0.0220 | $0.0591 | Monte Carlo on 90d log returns |
The forecast above combines three independent models per the STNews methodology:
- Technical model derives its ranges from moving averages, ATR, Bollinger bands and trend slope, and is most informative when price is cleanly trending or ranging.
- Statistical (Monte Carlo) model uses the 90-day distribution of daily log returns to project the 5th, 50th and 95th percentile prices at each horizon — useful as an unbiased baseline that does not assume any trend continuation.
- Peer-relative model looks at same-category, similar-cap coins and projects the price implied by matching their median, lower-quartile and upper-quartile return profiles, anchoring the forecast to sector behaviour.
The ensemble forecast is a weighted blend — 40% statistical, 30% technical, 30% peer-relative. The confidence badge tracks model agreement: the tighter the three cluster, the higher the confidence; wide disagreement lowers it and flags a regime where statistics alone are unreliable.
Cross-asset correlations (90d)
Pearson correlation of daily log returns vs top L1 references
Looking past Bitcoin alone, how closely PYTH tracks the next two biggest layer-1s over 90 days indicates whether it is mostly market beta or something more independent. The daily-log-return correlations:
- Bitcoin reference: +0.56 — a moderate positive relationship.
- Ethereum reference: +0.52 — a moderate positive relationship.
- Solana reference: +0.69 — a strong positive relationship.
When an asset correlates strongly with multiple majors, it is trading largely as market beta — the big caps set the direction and standalone outperformance is elusive. Weak or negative correlations instead signal idiosyncratic forces (its own news, sector rotation, narrative changes) capable of producing returns the broader market does not share.
About Pyth Network
Pyth Network (PYTH) is a cryptocurrency, traded on global digital-asset markets. It trades at $0.0383 as of the latest update, with a 24-hour move down 2.60%, placing it at rank #134 by market capitalisation among all listed digital assets. Pyth Network's current market cap stands at $301.22M, a figure used by traders, analysts and institutional desks to gauge relative liquidity and risk exposure across the crypto market.
On this page you'll find a live, daily-refreshed dashboard tracking Pyth Network across multiple data sources — price history going back several years, on-chain activity where available, fundamentals like circulating supply and dilution, top exchanges by volume, technical analysis using moving averages and RSI, and an algorithmic short, mid and long-term forecast. All figures are pulled from public APIs and cached locally; nothing here is investment advice.
Oracle networks are the connective tissue between off-chain data and on-chain smart contracts. Without reliable oracles, DeFi lending (which needs price feeds for collateral), prediction markets, parametric insurance, and most real-world-asset tokenization would not work. Pyth Network is one of the dominant oracle providers in this category.
Pyth Network (PYTH) is a mid-cap asset in the broad top 250, ranked #208 among all tracked tokens by capitalisation. Its focus is low-latency price oracles, and launched in 2023. About 79% of the maximum PYTH supply is in circulation today (7.87B of 10.00B), leaving a moderate emission stream still to come. It currently trades about 97% below its all-time high of $1.15 set in March 2024.
By market value Pyth Network (PYTH) ranks in the broad top 250, trading at $0.03825000 as of the latest snapshot. PYTH is -2.60% over 24 hours, +11.29% over the past week, +11.33% over 30 days, putting it in the upper half of weekly performers across the top 250 by market capitalisation. Pyth Network remains roughly 97% beneath its all-time high of $1.15, a level first printed in March 2024. Roughly 79% of PYTH's total supply is liquid today (7.87B of 10.00B), with the balance scheduled for gradual release over time.
Trading volume is light versus market value — only about 5.4% of capitalisation changes hands daily — so larger orders can move price more than they would for higher-liquidity peers.
How it works — Pyth Network
Pyth Network is a decentralized oracle network: a layer of independent nodes that fetch real-world data (asset prices, sports scores, weather, identity attestations) and deliver it to smart contracts on multiple blockchains. The token is used to economically secure the network — nodes stake it as collateral against accurate reporting and are slashed for misbehavior.
Pyth Network (PYTH) is a mid-cap asset in the broad top 250, ranked #208 among all tracked tokens by capitalisation. Its focus is low-latency price oracles, and launched in 2023. About 79% of the maximum PYTH supply is in circulation today (7.87B of 10.00B), leaving a moderate emission stream still to come. It currently trades about 97% below its all-time high of $1.15 set in March 2024. Its fully-diluted valuation of $382.50M is about 1.3× the circulating market cap of $301.22M, a gap that signals issuance overhang to factor into any longer-term thesis.
Use cases — Pyth Network
Oracle tokens are used for: securing data feeds via staking, governance over which feeds and methods the network provides, paying for data delivery in some networks, and node-operator collateral. They are infrastructure plays — their adoption tracks DeFi and tokenization growth more than retail attention.
Daily volume runs at about 5.4% of market capitalisation ($16.24M in the last 24 hours), in the normal band for a coin of this size and supportive of orderly entries and exits.
Tokenomics
Supply schedule & distribution
- Circulating supply: 7.87B PYTH — tokens actively trading and held by the public
- Total supply: 10.00B PYTH — all tokens minted to date (including those locked or held by the issuer)
- Max supply: 10.00B PYTH — the protocol-defined upper limit (if any) on lifetime issuance
- Issued to date: 78.7% of max supply
- Locked / treasury: 21.3% of total supply
Pyth Network's supply schedule directly affects its long-term inflation rate and, by extension, how dilutive future issuance will be to existing holders. A coin near full dilution behaves very differently from one that still has 60% of its supply waiting to be unlocked.
Supply economics
Issuance pressure, dilution, and structural value accrual
The supply story for Pyth Network comes down to three things: how tokens are issued over time, how many are circulating now, and how far the fully-diluted valuation sits above the circulating market cap. Approximately 78.7% of maximum supply is currently circulating, meaning roughly 21.3% of total potential supply remains to be issued. This implies a structural emission stream against current demand for the asset. The fully diluted valuation (FDV) of $0.4 billion stands at 1.3× the current circulating market cap of $0.3 billion. The wider this ratio, the more issuance overhang the asset faces — a structural headwind on valuation that mature assets like Bitcoin do not face but that early-cycle assets typically do.
The question that matters for a longer-term view is simple: does value accrual (burns, staking-yield reinvestment, deflationary mechanics, growing ecosystem TVL) run ahead of new issuance, or behind it? Ahead, and price can compound quietly; behind, and it leans on continuous fresh demand to soak up the supply.
Trader's note
Coin-type-aware tactical interpretation
For Pyth Network as an oracle-network token, the tactical anchor is total value secured (TVS) by feeds the network provides, plus the network's share of new DeFi protocol launches. Oracle tokens benefit from broader DeFi growth structurally; they suffer when DeFi activity contracts and from competitive pressure from rival oracle providers.
Price Strength at 38/100 reads bearish. Oracle tokens tend to have moderately elevated BTC correlation (as part of the DeFi sector) but can decouple sharply on protocol-specific news — a major feed failure or a major new partnership can re-rate the asset independent of market direction.
Markets & exchanges
Top trading pairs by 24h volume
| # | Exchange | Pair | Last price | 24h volume | Trust |
|---|---|---|---|---|---|
| 1 | Binance | PYTH/USDT | $0.038250 | $16.24M | A+ |
Initial rows server-rendered from our verified pipeline (binance-v2). Data-only. STNews does not place affiliate links here. See our affiliate disclosure.
If you'd bought Pyth Network...
ROI calculator · historical close prices
Calculated on daily close prices. Does not include trading fees, taxes, or staking yields. Past performance is not indicative of future results.
Converter
Rate: 1 PYTH = $0.0383
Compared to peers
Price, market cap, volume, supply
| Coin | 7d trend | Price | Market Cap | 24h Vol | 24h % | 7d % |
|---|---|---|---|---|---|---|
Pyth Network
PYTH
|
$0.0383 | $301.22M | $16.24M | -2.60% | +11.29% | |
Bitcoin
BTC
|
$62,820.75 | $1.26T | $15.77B | +0.58% | -4.60% | |
Ethereum
ETH
|
$1,763.46 | $212.82B | $6.25B | +0.88% | -5.79% | |
Solana
SOL
|
$80.77 | $47.55B | $1.55B | -1.40% | -13.42% | |
XRP
XRP
|
$1.17 | $70.47B | $2.54B | +4.43% | +2.56% | |
BNB
BNB
|
$570.62 | $79.42B | $369.24M | -0.17% | -3.52% | |
Dogecoin
DOGE
|
$0.0768 | $11.40B | $471.47M | +0.05% | -6.29% | |
Cardano
ADA
|
$0.1911 | $8.60B | $614.22M | +7.72% | -11.45% | |
TRON
TRX
|
$0.3249 | $28.06B | $247.06M | +0.31% | +1.23% |
Market sentiment
Crypto Fear & Greed Index · alternative.me
The Crypto Fear & Greed Index aggregates volatility, market momentum, social media activity, dominance and Google Trends data into a single 0–100 score updated daily. Today's reading is 22 — Extreme Fear.
Extreme fear (below 25) historically signals buying opportunities for contrarians, while extreme greed (above 75) often precedes corrections. The index works best as one input among many, not as a standalone trading signal.
Macro & cross-asset context
How macro liquidity and cross-asset moves frame the trade
At the top of the macro stack sit interest rates, dollar liquidity and risk appetite, and crypto has tended to amplify all three. Easing financial conditions and a weaker dollar have historically pulled the sector up; tightening liquidity and a firmer dollar have reliably pulled it back down.
For cross-asset context, monitor the dollar (a headwind when it strengthens), long-term Treasury yields (the discount rate on risk), gold (a sometime companion in monetary-debasement narratives), and the S&P 500 (often correlated with crypto on liquidity-driven swings even though crypto is popularly billed as uncorrelated).
For Pyth Network specifically, the macro variable that has empirically led price most often is global crypto-market liquidity — proxied by stablecoin total supply, futures open interest, and exchange volumes. When these expand, PYTH tends to follow; when they contract, the relationship typically reverses. Given the 90-day BTC correlation of +0.56, PYTH's near-term macro sensitivity will be similar to Bitcoin's — driven primarily by the same liquidity conditions and risk-asset flows.
Risks
Specific risks: feed integrity (a bad data point can liquidate billions in DeFi collateral), node-operator centralization, smart contract risk in the oracle protocol itself, competitive pressure from rival oracle providers, and revenue dependence on broader DeFi activity. Oracle tokens are sensitive to DeFi-sector cycles.
Frequently asked questions
What is Pyth Network (PYTH)? ▾
Pyth Network is a cryptocurrency, traded on global digital-asset markets. It trades under the ticker PYTH and currently has a market capitalisation of $301.22M.
What is the price of PYTH today? ▾
The price of Pyth Network today is $0.0383, refreshed daily from public market data. Live price changes are visible at the top of this page.
What is the maximum supply of Pyth Network? ▾
The protocol caps lifetime issuance of Pyth Network at 10.00B PYTH. This limit is enforced by the network's code and cannot be raised without coordinated upgrades.
What was Pyth Network\'s all-time high? ▾
Pyth Network's all-time high in USD terms is $1.15. Past performance does not guarantee future returns.
How can I buy Pyth Network? ▾
Pyth Network is available on the major centralized exchanges; the Markets table on this page ranks them by PYTH/USD volume. As always, verify the venue's withdrawal fees, funding options, and licensing for your jurisdiction first.
Is Pyth Network a good investment? ▾
We do not give investment advice. Crypto is a high-volatility asset class where large drawdowns are normal, so any position should be sized to your personal risk tolerance and, ideally, discussed with a licensed adviser before you act on the data shown here.
Where does the data on this page come from? ▾
Our price, supply and volume data come from public cryptocurrency APIs (Binance, CoinGecko, CoinPaprika and similar), and the sentiment gauge is from alternative.me. Everything is stored locally and refreshed on a recurring cycle.
In the news
Headlines from major crypto outlets · refreshed every 6h
Nasdaq brings proprietary market data onchain through Pyth
The partnership extends distribution of Nasdaq's TotalView market data to blockchain applications and other software platforms through Pyth's marketplace.
PYTH attracts fresh capital after 15% rally – Is the downtrend finally weakening?
PYTH rallied 15% as volume and Open Interest surged, while technical indicators showed improving market conditions.
Pyth launches 24/7 proprietary indices for US equities, oil and metals
Pyth is aggregating data from onchain and offchain sources to provide continuous price discovery for major equities and commodities.
The information on this page is provided for general educational and informational purposes only and does not constitute investment, financial, legal or tax advice. Cryptocurrency markets are highly volatile; you can lose some or all of your capital. STNews does not recommend that any cryptocurrency should be bought, sold or held by you. Conduct your own due diligence and consult your independent financial advisor before making any investment decisions.
Data sources: CoinGecko · CoinPaprika · Binance · DefiLlama · alternative.me Fear & Greed Index · Editorial standards: /editorial-guidelines · Affiliate disclosure: /affiliate-disclosure
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Pyth Network on X
Latest posts from @PythNetwork
Earlier this week, Pyth shared an early look at a relationship with Nasdaq. The response was immediate, and the interest in Nasdaq's TotalView on the Pyth Data Marketplace ran well beyond what anyone expected.
Pyth and Nasdaq are aligning on the integration and commercial
New markets are live on Pyth Pro:
- Expanded crypto coverage
- New crypto redemption rates
- New crypto NAV feed
- More US equity coverage (regular hours & 24/5)
- Additional ETF coverage (regular hours & 24/5)
- Commodity futures
- More Hong Kong equities
- New China equities
Performance deserves prices that can keep up 🤝