Navigera till Andra Kryptovalutor
PYTHPyth NetworkSnabblänkar
Positionsberäknare
Pyth Network
PYTHPerpetual Futures · not spotNyckelfakta
Alla uppmätta siffror på den här sidan, grupperade efter vad de säger och var och en med sin källa.
Price & Market Data
| Rankning efter marknadsvärde | #115CoinGecko |
|---|---|
| Marknadsvärde | $435MCoinGecko |
| Fullt utspädd värdering | $552MCoinGecko |
| Högsta någonsin | $1.20 (2024-03-15), 95% belowCoinGecko |
| Lägsta någonsin | $0.0295 (2026-06-06)CoinGecko |
Tokenomics
| Cirkulerande utbud | 7.87B PYTH (78.7% of max supply)CoinGecko |
|---|---|
| Maximalt utbud | 10.00B PYTHCoinGecko |
Valuation Ratios
| Marknadsvärde / FDV | 0.79CoinGecko |
|---|
Product & Other
| Tillgångstyp | Token issued on another chainCoinGecko (derived) |
|---|---|
| Volatilitet (30 d, annualiserad) | 77%CoinGecko daily closes, standard deviation of log returns |
| Noterad på | 78 exchanges (112 pairs)CoinGecko |
| CoinUnited-produkt | Perpetual futures - syntetisk prisexponering; ingen förvaring av myntet och inga rättigheter on-chain, för staking eller styrning. Hävstång finns, med likvidationsrisk. Handel dygnet runt alla dagar.CoinUnited product terms |
What Is Pyth Network (PYTH)?
TL;DR
Pyth Network is a decentralized oracle protocol that aggregates high-frequency price data from institutional publishers and delivers it on-chain, generating recurring revenue from enterprise data subscriptions that increasingly anchor PYTH's fundamental valuation.
Pyth Network is a decentralized oracle protocol that delivers real-time price data to blockchain applications across DeFi, derivatives, and enterprise markets.
Its defining architectural choice is the pull model: applications request price updates on demand rather than receiving continuous pushed broadcasts, which reduces unnecessary gas expenditure and cuts confirmation latency relative to earlier push-oracle designs.
The PYTH token governs the protocol and participates in data-fee distribution and staking, connecting network usage directly to token utility.
The data-sourcing model is equally distinctive. Price feeds originate from institutional first-party publishers, trading venues, market makers, and exchanges contributing their own observed prices, rather than being aggregated from secondary on-chain or web-scraping sources.
That provenance distinction matters for latency, manipulation resistance, and the quality of low-liquidity or off-hours pricing, where secondary aggregation tends to degrade first.
Pyth's product surface extends beyond DeFi. Pyth Pro targets enterprise clients with a subscription catalog covering equity, FX, and derivatives feeds, a meaningful step toward positioning the protocol as infrastructure for traditional-finance data consumption. Pyth Terminal provides a public data exploration interface, lowering the discovery cost for developers evaluating feed coverage.
Together these products represent a DeFi and fintech product launch wave that widens the addressable market beyond on-chain lending and perpetuals.
On the supply side, PYTH has a fixed maximum supply, meaning token issuance is bounded by protocol design rather than discretionary governance decisions. Any burn or distribution mechanics embedded at the protocol level make scarcity programmatic, a predictable schedule that long-term holders can model.
Traders taking price exposure via a Perpetual Futures position on PYTH should note that the on-chain supply schedule influences sentiment and liquidity in the spot market, which in turn feeds into funding-rate dynamics in the perpetuals market.
Whether those regulatory and product catalysts translate into sustained demand is a question the supply model alone cannot answer.
Senast uppdaterad: 2026-09-06
Nyckelinsikter
- Pyth's revenue model has shifted from purely on-chain oracle fees toward a subscription-based enterprise layer, Pyth Pro, that crossed $7.49 million ARR in July 2026, giving PYTH a more traditional SaaS valuation anchor uncommon in oracle tokens.
- Pyth's publisher network of more than 138 institutional contributors, including named venues such as Tradeweb, Euronext FX, and SGX FX, creates a data-quality moat that purely crypto-native oracle competitors cannot easily replicate by adding more node operators alone.
- Overall ARR crossing $10.4 million in August 2026 across Pyth's product suite means the protocol now has measurable cash-flow proxies, shifting trader focus from speculative adoption metrics toward revenue growth rate and enterprise churn.
- The long/short account ratio on perpetual futures markets sitting above 1.0 indicates the market currently skews net-long in positioning, making crowded-long dynamics and funding costs a key risk management variable for PYTH traders.
Viktiga punkter
- •Pyth's revenue model has shifted from purely on-chain oracle fees toward a subscription-based enterprise layer, Pyth Pro, that crossed $7.49 million ARR in July 2026, giving PYTH a more traditional SaaS valuation anchor uncommon in oracle tokens.
- •Pyth's publisher network of more than 138 institutional contributors, including named venues such as Tradeweb, Euronext FX, and SGX FX, creates a data-quality moat that purely crypto-native oracle competitors cannot easily replicate by adding more node operators alone.
- •Overall ARR crossing $10.4 million in August 2026 across Pyth's product suite means the protocol now has measurable cash-flow proxies, shifting trader focus from speculative adoption metrics toward revenue growth rate and enterprise churn.
- •The long/short account ratio on perpetual futures markets sitting above 1.0 indicates the market currently skews net-long in positioning, making crowded-long dynamics and funding costs a key risk management variable for PYTH traders.
Pris & Marknadsstruktur
Today's signals
read live| Metric | Value | Source |
|---|---|---|
| 24h change | +2.02% | OKX USDT-margined perpetual |
| 7d change | +2.11% | CoinGecko |
| 30d change | +42.37% | CoinGecko |
| 1y change | -68.05% | CoinGecko |
| 24h range | $0.0533 - $0.05591 | OKX USDT-margined perpetual |
| From all-time high | -95.4% | OKX USDT-margined perpetual / CoinGecko |
| Funding rate (8h) | +0.0050% | OKX USDT-margined perpetual |
| Open interest | $2M | OKX USDT-margined perpetual |
| Long/short ratio | 0.97 | OKX USDT-margined perpetual |
Read at request time from third-party perpetual-futures market data. Not CoinUnited's own book.
Derivatregimstatus
Perpetual-futures data: OKX USDT-margined perpetual
Comparable Coins
How this coin compares with other large-cap crypto assets on the attributes price alone does not show.
| Asset | Rank | Market cap | Consensus |
|---|---|---|---|
| EURC · EURC | #113 | $463M | — |
| A7A5 · A7A5 | #114 | $450M | — |
| Pyth Network · PYTH | #115 | $436M | — |
| Provenance Blockchain · HASH | #116 | $418M | — |
| Celestia · TIA | #117 | $413M | — |
Third-party market data shown for comparison. Not a CoinUnited valuation and not investment advice.
Ordlista
Centrala begrepp inom krypto och perpetual futures, ett per rad, så att sidan blir entydig både för läsare och för AI-svarsmotorer.
| Perpetual futures | Ett derivat som följer en tillgångs pris utan förfallodag: enbart prisexponering, utan ägande eller förvaring av det underliggande myntet. |
|---|---|
| Finansieringsränta | En återkommande betalning mellan långa och korta positioner som håller det perpetuella kontraktet nära spotpriset; det är den huvudsakliga kostnaden för att BEHÅLLA en position, skild från handelsavgifterna. |
| Likvidation | Tvångsstängning av en belånad position när marginalen faller under underhållskravet; ju högre hävstång, desto mindre ogynnsam rörelse krävs för att utlösa den. |
| Cirkulerande utbud | Antalet mynt som för närvarande är utgivna och handlingsbara: inte det maximala som någonsin kan existera, och den siffra som marknadsvärdet räknas fram ur. |
| Fullt utspädd värdering | Vad marknadsvärdet skulle vara om alla mynt som någonsin kan existera fanns i omlopp i dag; det är odefinierat för en token utan utbudstak. |
| Konsensusmekanism | Regeln en blockkedja använder för att enas om sin transaktionshistorik, till exempel proof of work där utvinnare förbrukar energi, eller proof of stake där validerare ställer säkerhet. |
Risk factors
| Risk | What it means |
|---|---|
| Volatility | Crypto prices move further and faster than equities, with no daily limit and no circuit breaker. A move that would be a notable day in a stock is an ordinary one here. |
| No closing bell | This instrument trades around the clock, weekends included. A position is exposed at every hour, including the ones you are not watching, and there is no close to reassess at. |
| Leverage and liquidation | At the maximum available leverage of 2000x, a small adverse move exhausts the margin and the position is closed automatically. Losses are not limited to the move you expected; they are limited by the margin you posted. |
| Regulatory change | Rules differ by jurisdiction and are still being written. A change can affect what is tradeable, by whom, and on what terms, with little notice. |
| Market structure | The quoted price is a derivative reference, not the spot market itself. Price and liquidity can differ from spot, and the gap tends to widen in exactly the fast conditions where it matters most. |
| Funding as a holding cost | A perpetual future charges funding periodically between longs and shorts. Held long enough it becomes the dominant cost of the position, larger than the fee to open and close it. |
This list is not exhaustive and is not investment advice. Leveraged trading can result in the loss of your entire margin.
Why Trade PYTH? Key Price Drivers and Risk Factors
PYTH demand rests on a layered thesis: oracle fee revenue grows as more protocols query Pyth feeds, the PYTH token captures a share of that revenue through staking and governance, and enterprise subscription income from Pyth Pro adds a recurring-revenue anchor that purely on-chain oracle tokens lack.
The distinction matters because DeFi fee revenue is cyclical, it compresses in bear markets when trading volumes collapse, while enterprise ARR has a contractual floor. As Pyth Pro expands its feed catalog into equities, FX, and derivatives, that floor rises independently of crypto sentiment.
Traders should watch subscriber growth and catalog expansion as leading indicators of the revenue mix shifting toward more defensible income.
The Nasdaq TotalView integration illustrates both the upside and the structural fragility of Pyth's enterprise strategy. Regulated exchange data on-chain attracts institutional DeFi protocols that require auditable, licensed price sources; those protocols attract additional first-party publishers seeking distribution; additional publishers improve feed quality and attract further integrations.
The flywheel is real, but it depends on regulators tolerating on-chain redistribution of licensed exchange data. A regulatory ruling that restricts such redistribution could sever the enterprise data pipeline at its source, removing the institutional-grade provenance that differentiates Pyth from generic aggregators.
Competitive and structural risks deserve equal weight. Chainlink's deep integration history across EVM chains creates switching costs that are organizational, not just technical, migrating a major lending protocol to a new oracle requires audits, governance votes, and integration work.
A single large DeFi protocol departing Pyth's network would reduce fee throughput and weaken the incentive structure for first-party publishers, because publisher rewards are partly a function of feed utilization.
Separately, Pyth's on-chain transaction volume is concentrated on Solana; a network outage or sustained loss of developer activity on Solana disproportionately affects Pyth's activity metrics relative to chain-agnostic competitors.
This concentration risk is not theoretical, Solana has experienced network disruptions in prior cycles, and each episode temporarily removed a significant share of Pyth's query volume.
Finally, token-level supply dynamics can diverge from protocol fundamentals. Unlock schedules release previously restricted tokens into the market on a schedule that is independent of revenue performance, creating periodic supply pressure regardless of how well Pyth Pro is growing.
Governance decisions on fee distribution, how much fee revenue flows to stakers versus the treasury versus buybacks, can shift token yield expectations and alter demand from income-oriented holders.
Traders taking perpetual futures exposure to PYTH should monitor governance forums and unlock calendars alongside revenue reports, because the next supply event can move price independently of anything the protocol achieves operationally.
The DeFi and fintech product launch wave creates a tailwind for oracle demand broadly, but PYTH's specific risk-reward depends on which side of the flywheel, enterprise revenue growth or competitive displacement, accelerates first.
Pyth Network's Position in the Oracle Landscape
Pyth Network occupies a specific niche in the oracle landscape: it delivers first-party price data sourced directly from institutional publishers, trading venues, market makers, and regulated exchanges, rather than aggregating prices from secondary on-chain or web-scraped sources. That architectural choice is also a competitive moat.
Onboarding an institutional publisher requires compliance relationships, legal agreements, and data-licensing arrangements that take months to establish. A competing oracle protocol cannot replicate that publisher base by copying Pyth's code; it must rebuild those relationships from scratch.
The comparison with Chainlink illustrates how oracle competition is less zero-sum than it appears. Chainlink's advantage is integration depth across EVM-compatible chains, a large installed base of smart contracts that query its feeds and cannot be migrated without significant redevelopment cost.
Pyth's advantage is data freshness and publisher quality, particularly for assets where low-liquidity or off-hours pricing tends to degrade in secondary aggregation.
The result is partial market segmentation: latency-sensitive perpetuals protocols and cross-chain DeFi applications tend to favor Pyth's pull architecture, while established EVM lending protocols are more likely to remain on Chainlink's infrastructure. Both protocols can grow simultaneously because the addressable market is expanding faster than either incumbent can serve.
The API-key authenticated access model introduced in late August 2026 adds a layer of switching cost at the enterprise tier. Clients who have built data pipelines, risk systems, or settlement workflows around Pyth's Hermes endpoints now carry integration depth that makes displacement by a competitor incrementally more expensive.
This mirrors the playbook of traditional financial data vendors, where workflow embedding, not price or data quality alone, is the primary retention mechanism.
Expansion into equity and FX data feeds, with over 1,900 equity feeds in the catalog as of July 2026, opens addressable markets where oracle competition is less entrenched than in crypto DeFi. Traditional-finance data consumers evaluating on-chain settlement infrastructure represent a demand pool that none of the existing oracle protocols has fully captured.
That convergence is part of a broader DeFi and fintech product launch wave reshaping how institutional-grade data flows into blockchain-native applications.
How quickly that market matures will depend in part on regulatory clarity for on-chain financial infrastructure, which remains a variable that no publisher relationship or product catalog can fully hedge.
Redo att handla PYTH?
Upp till 2000x hävstång · 24/7 handel
Trading PYTH Perpetual Futures on CoinUnited.io
A PYTH perpetual futures position is price exposure to Pyth Network through a contract with no expiry, not ownership of the underlying token. The primary ongoing cost is the funding rate: a periodic payment exchanged between long and short holders roughly every eight hours that anchors the contract price to spot. Depending on market positioning, you pay or receive this transfer.
Worked Leverage Example
At 2000x, a 0.05 USDT margin controls 100 USDT of notional exposure. A 1% adverse move generates a 1 USDT loss, twenty times the original margin. Maintenance margin triggers liquidation before that full move completes.
| Margin (USDT) | Leverage | Notional (USDT) | 1% Move Loss | vs. Margin |
|---|---|---|---|---|
| 0.05 | 2000x | 100 | 1.00 | 2000% |
| 1.00 | 2000x | 2,000 | 20.00 | 2000% |
| 10.00 | 500x | 5,000 | 50.00 | 500% |
PYTH Volatility and Session Timing
PYTH is sensitive to oracle-sector catalysts, integration announcements, ARR disclosures from Pyth Pro, and DeFi activity shifts, that arrive on weekends and outside conventional windows.
Traders around product launch catalysts in the DeFi infrastructure space should treat session continuity as operationally relevant. The fee schedule is tiered by 30-day volume across nine VIP levels: https://coinunited.io/en/account/trading-fees.
Börja din handelsresa
19 000+ instrument över 7 marknader · Börja på 10 sekunder
Vanliga frågor
Pyth Network is a decentralized oracle protocol designed to bring high-fidelity, low-latency financial market data on-chain. Unlike generalist oracle networks that aggregate data from public sources, Pyth sources price feeds directly from first-party data providers, exchanges, market makers, and trading firms, that publish their own observed prices and confidence intervals directly to the network. The protocol aggregates these individual price submissions into a single composite price feed using a weighted median calculation. Each publisher's contribution is weighted, and the resulting aggregate reflects not just a price but also a confidence interval that quantifies the spread of submissions. This design allows smart contracts to consume not only a price but also a measure of uncertainty, which is useful for risk-sensitive applications such as lending protocols and derivatives platforms. The PYTH perpetual futures instrument on CoinUnited tracks this underlying market's price around the clock, including weekends, unlike the underlying asset's own trading schedule.
Pyth Network (PYTH) Avkastning
Tjäna passiv inkomst på dina Pyth Network innehav genom olika avkastningsgenererande möjligheter. Jämför de årliga procentuella avkastningarna (APY) som erbjuds av ledande kryptovaluta plattformar och välj det bästa alternativet för din investeringsstrategi. CoinUnited.io erbjuder konkurrenskraftiga räntor med flexibla villkor och bankklassad säkerhet.
| # | Tjänsteleverantör | Avkastningstyp | Netto APY | DeFi/CeFi |
|---|---|---|---|---|
| 1 | Staking | 9.04% | CeFi | |
| 2 | Tjäna (Flexibel) | 0.50%-2.00%Est. | CeFi | |
| 3 | Tjäna (Flexibel) | 1.00%-3.00%Est. | CeFi | |
| 4 | Tjäna (Flexibel) | 0.30%-8.00%Est. | CeFi | |
| 5 | Tjäna (Flexibel) | 0.50%-2.50%Est. | CeFi | |
| 6 | Staking | 1.00%-5.00%Est. | CeFi | |
| 7 | Staking | 0.25%-20.00%Est. | CeFi | |
| 8 | Tjäna (Flexibel) | 2.00%-4.00%Est. | CeFi |
⭐Tjäna Upp till 125,00% APY på PYTH hos CoinUnited.io
CoinUnited.io erbjuder ett av de mest konkurrenskraftiga PYTH avkastningsprogrammen i branschen. Vår flexibla inkomstprodukt gör att du kan tjäna passiv inkomst samtidigt som du behåller full likviditet—ta ut dina medel när som helst utan låsperioder eller avgifter.
- ✓Ingen minimiinsättning krävs - börja tjäna från dag ett
- ✓Dagliga ränteutbetalningar krediteras automatiskt till ditt konto
- ✓100% flexibel - ta ut när som helst utan avgifter eller låsperioder
Hur man Börjar Tjäna
- 1.Skapa ett gratis konto på CoinUnited.io (tar mindre än 2 minuter)
- 2.Sätt in PYTH till din CoinUnited.io plånbok
- 3.Aktivera Flexibel Tjäna och börja tjäna ränta omedelbart
Viktiga Överväganden
- ⚠️Avkastningar är variabla och kan förändras baserat på marknadsförhållanden
- ⚠️Dina tillgångar förblir förvarade av CoinUnited.io medan du tjänar avkastning
- ⚠️Tidigare resultat garanterar inte framtida avkastningar
Ansvarsfriskrivning: APY-räntor som visas är endast för referens och kan variera baserat på marknadsförhållanden. Avkastningar är inte garanterade och kan ändras utan föregående meddelande. Investeringar i kryptovaluta medför risk, inklusive potentiell förlust av kapital. Vänligen läs våra Användarvillkor och riskdisclosure noggrant innan du deltar i avkastningsprodukter.
Source Map
Every figure on this page traces to a primary or named third-party source. "As of" dates the source; "last checked" dates our most recent read of it.
Every figure here is also published as machine-readable data, and re-checked on a schedule so a stale one shows up as stale. View the raw data
| Field | Value | Source | As of | Last checked | |
|---|---|---|---|---|---|
| Market cap rank | #115 | CoinGecko | 2026-09-06 | 2026-09-06 | View |
| Market cap | $435M | CoinGecko | 2026-09-06 | 2026-09-06 | View |
| Fully diluted valuation | $552M | CoinGecko | 2026-09-06 | 2026-09-06 | View |
| All-time high | $1.20 (2024-03-15), 95% below | CoinGecko | 2026-09-06 | 2026-09-06 | View |
| All-time low | $0.0295 (2026-06-06) | CoinGecko | 2026-09-06 | 2026-09-06 | View |
| Circulating supply | 7.87B PYTH (78.7% of max supply) | CoinGecko | 2026-09-06 | 2026-09-06 | View |
| Maximum supply | 10.00B PYTH | CoinGecko | 2026-09-06 | 2026-09-06 | View |
| CoinUnited product | Perpetual Futures - synthetic price exposure; no coin custody and no on-chain, staking or governance rights. Leverage available, with liquidation risk. Trades 24/7. | CoinUnited product terms | — | — | — |
Ansvarsfriskrivningar & Referenser
Viktig riskvarning
Alla Pyth Network-prisprognoser och spådomar som presenteras på denna plattform är uteslutande avsedda för informations- och utbildningsändamål. De utgör inte ekonomisk rådgivning, investeringsrekommendationer eller någon form av vägledning.
Kryptovalutamarknader är mycket volatila och oförutsägbara. Tidigare prestationer är inte en indikation på framtida resultat. De visade förutsägelserna baseras på matematiska modeller, historisk dataanalys och olika tekniska indikatorer, men kan inte ta hänsyn till oförutsedda marknadshändelser, regulatoriska förändringar eller andra externa faktorer.
Användare bör göra egen research och rådgöra med kvalificerade finansiella experter innan några investeringsbeslut fattas. Skaparna och operatörerna av denna plattform tar inget ansvar för eventuella finansiella förluster eller andra skador som kan uppstå vid förlitande på den givna informationen.
Investeringar i kryptovalutor medför betydande risker, inklusive möjligheten att förlora hela investeringsbeloppet.
Metodöversikt
Våra Pyth Network-prisprognoser använder en multifaktoriell metod som kombinerar:
- Teknisk analys (glidande medelvärden, oscillatorer, diagrammönster)
- Maskininlärningsmodeller (LSTM-nätverk, regressionsmodeller)
- On-chain-mått (transaktionsvolym, aktiva adresser, utbytesflöden)
- Sentimentanalys (sociala medier, nyheter, masspsykologi)
- Makrofaktorer (inflation, räntor, korrelation med traditionella marknader)
Senaste metodologiöversyn:
Redo att börja handla Pyth Network?
Gå med i tusentals handlare och börja din Pyth Network handelsresa idag. Få tillgång till avancerade handelsverktyg och konkurrenskraftiga avgifter.