Binance Square
#pyth

pyth

10.3M рет көрілді
17,285 адам талқылап жатыр
Cas Abbé
·
--
Расталды
$PYTH is starting to show signs of renewed momentum, making it one of the oracle projects worth watching. While Chainlink $LINK , RedStone, $API3 , and Supra continue competing in the oracle space, Pyth has built a strong position by delivering real-time market data to a growing number of DeFi applications across multiple blockchains. If buyers continue defending key support and volume improves, #PYTH could attract more attention as the oracle narrative strengthens. Informational content only. Not financial advice. @PythNetwork
$PYTH is starting to show signs of renewed momentum, making it one of the oracle projects worth watching.

While Chainlink $LINK , RedStone, $API3 , and Supra continue competing in the oracle space, Pyth has built a strong position by delivering real-time market data to a growing number of DeFi applications across multiple blockchains.

If buyers continue defending key support and volume improves, #PYTH could attract more attention as the oracle narrative strengthens.

Informational content only. Not financial advice.

@Pyth Network
Skylar_Bella:
LFG
$ZHIPU $PYTH 30分钟偏多,短线共振做多机会🔥 ════════════════════ 🔴 $ZHIPU 30分钟 多头信号 ⚠️技术面:ADX37,行情有明确趋势,MACD DIF破零轴转多,EMA5上穿EMA8,KDJ金叉未超买,放量7.1倍,短期看多。 ════════════════════ 🔴 $PYTH 30分钟 多头信号 ⚠️技术面:ADX37是明显趋势行情,金叉后放量,EMA多头排列,K上穿D未超买,量能放大1.9倍,多头占优。 ════════════════════ 🔔 关注获取第一手行情异动 🔔 #技术分析 #ZHIPU #PYTH 📌 交易时注意k线形态是否符合
$ZHIPU $PYTH 30分钟偏多,短线共振做多机会🔥

════════════════════
🔴 $ZHIPU 30分钟 多头信号
⚠️技术面:ADX37,行情有明确趋势,MACD DIF破零轴转多,EMA5上穿EMA8,KDJ金叉未超买,放量7.1倍,短期看多。
════════════════════

🔴 $PYTH 30分钟 多头信号
⚠️技术面:ADX37是明显趋势行情,金叉后放量,EMA多头排列,K上穿D未超买,量能放大1.9倍,多头占优。
════════════════════

🔔 关注获取第一手行情异动 🔔
#技术分析 #ZHIPU #PYTH
📌 交易时注意k线形态是否符合
30分钟级别$ZHIPU $PYTH双双出现多头信号 📈 $ZHIPU | 30分钟 多头信号 ━━━━━━━━━━━━━━━━━━ 技术分析:ADX37显示行情呈明确趋势,MACD DIF破零轴,EMA5上穿EMA8,KDJ金叉,均指向看多,成交量放大至7.1倍。 价格变动:13.2600% 📈 $PYTH | 30分钟 多头信号 ━━━━━━━━━━━━━━━━━━ 技术分析:ADX(37)显示存在明确趋势,MACD、EMA、KDJ均呈多头,动能趋弱,成交量放大至1.9倍。 价格变动:-0.0900% ━━━━━━━━━━━━━━━━━━ #技术分析 #ZHIPU #PYTH 📌 以上内容仅供参考,不构成投资建议
30分钟级别$ZHIPU $PYTH 双双出现多头信号

📈 $ZHIPU | 30分钟 多头信号
━━━━━━━━━━━━━━━━━━
技术分析:ADX37显示行情呈明确趋势,MACD DIF破零轴,EMA5上穿EMA8,KDJ金叉,均指向看多,成交量放大至7.1倍。
价格变动:13.2600%

📈 $PYTH | 30分钟 多头信号
━━━━━━━━━━━━━━━━━━
技术分析:ADX(37)显示存在明确趋势,MACD、EMA、KDJ均呈多头,动能趋弱,成交量放大至1.9倍。
价格变动:-0.0900%

━━━━━━━━━━━━━━━━━━
#技术分析 #ZHIPU #PYTH
📌 以上内容仅供参考,不构成投资建议
$ZHIPU $PYTH $MINIMAX 30分钟同步走强,谁爆发力更强🔥 ════════════════════ 🔴 $ZHIPU 30分钟 多头信号 ⚠️技术面:ADX37,是明显趋势行情,MACD红柱放大,EMA多头刚形成,KDJ金叉未超买,成交量放大7.1倍,都看涨。 ════════════════════ 🔴 $PYTH 30分钟 多头信号 ⚠️技术面:ADX37,趋势明确,MACD多头偏强动能减弱,EMA多头排列,KDJ未超买多头占优,成交量放了1.9倍。 ════════════════════ 🔴 $MINIMAX 30分钟 多头信号 ⚠️技术面:ADX28趋势初成可参与,金叉后放量红柱放大,EMA刚多头,KDJ未超买多头占优,成交量涨6.7倍。 ════════════════════ 🔔 关注获取第一手行情异动 🔔 #技术分析 #ZHIPU #PYTH #MINIMAX 📌 交易时注意k线形态是否符合
$ZHIPU $PYTH $MINIMAX 30分钟同步走强,谁爆发力更强🔥

════════════════════
🔴 $ZHIPU 30分钟 多头信号
⚠️技术面:ADX37,是明显趋势行情,MACD红柱放大,EMA多头刚形成,KDJ金叉未超买,成交量放大7.1倍,都看涨。
════════════════════

🔴 $PYTH 30分钟 多头信号
⚠️技术面:ADX37,趋势明确,MACD多头偏强动能减弱,EMA多头排列,KDJ未超买多头占优,成交量放了1.9倍。
════════════════════

🔴 $MINIMAX 30分钟 多头信号
⚠️技术面:ADX28趋势初成可参与,金叉后放量红柱放大,EMA刚多头,KDJ未超买多头占优,成交量涨6.7倍。
════════════════════

🔔 关注获取第一手行情异动 🔔
#技术分析 #ZHIPU #PYTH #MINIMAX
📌 交易时注意k线形态是否符合
🔻 PYTH - السعر أسفل خط الترند الصاعد 📈 <b>قراءة فنية:</b> 💵 السعر: <b>$0.0469</b> 📐 الترند: <b>$0.0471</b> 📏 الفجوة: أسفل من خط الترند بنسبة 0.50% 🏋️ المتانة: <b>100.0%</b> ⚡ <b>إشارة:</b> 🔴 كسر الدعم - احتمالية هبوط ⚠️ انتظر تأكيد الكسر 💬 شاركني رأيك في التعليقات 👇 ⚠️ هذا التحليل لأغراض المراقبة الفنية فقط. ⏰ 2026-07-23 16:30:58 UTC #PYTH #ترند #تحليل_فني #TrendLine
🔻 PYTH - السعر أسفل خط الترند الصاعد

📈 <b>قراءة فنية:</b>
💵 السعر: <b>$0.0469</b>
📐 الترند: <b>$0.0471</b>
📏 الفجوة: أسفل من خط الترند بنسبة 0.50%
🏋️ المتانة: <b>100.0%</b>

⚡ <b>إشارة:</b>
🔴 كسر الدعم - احتمالية هبوط
⚠️ انتظر تأكيد الكسر

💬 شاركني رأيك في التعليقات 👇

⚠️ هذا التحليل لأغراض المراقبة الفنية فقط.
⏰ 2026-07-23 16:30:58 UTC
#PYTH #ترند #تحليل_فني #TrendLine
$PYTH IS QUIETLY BUILDING A FOUNDATION FOR AN ORACLE RESURGENCE 🚀 📡 $PYTH isn’t just surviving the oracle wars—it’s strategically stacking real-time data feeds across 40+ blockchains. While the market fixates on the $LINK vs $API3 narrative, PYTH has quietly established itself as the go-to for low-latency price feeds in DeFi. Volume is climbing, and the support zone is holding like glue. 📊 💡 The critical question isn’t whether PYTH can compete—it’s whether the market will wake up to its growing dominance before the next narrative wave hits. Buyers need to step up and defend this level with conviction. 💬 Are you watching the oracle sector closely, or is PYTH flying under your radar? 👇 ⚠️ Not financial advice. Always manage your risk. 🛡️ 🏷️ #PYTH #OracleWars #DeFi #Altcoin #Crypto 🔥 🦈
$PYTH IS QUIETLY BUILDING A FOUNDATION FOR AN ORACLE RESURGENCE 🚀

📡 $PYTH isn’t just surviving the oracle wars—it’s strategically stacking real-time data feeds across 40+ blockchains. While the market fixates on the $LINK vs $API3 narrative, PYTH has quietly established itself as the go-to for low-latency price feeds in DeFi. Volume is climbing, and the support zone is holding like glue. 📊

💡 The critical question isn’t whether PYTH can compete—it’s whether the market will wake up to its growing dominance before the next narrative wave hits. Buyers need to step up and defend this level with conviction. 💬 Are you watching the oracle sector closely, or is PYTH flying under your radar? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #PYTH #OracleWars #DeFi #Altcoin #Crypto

🔥 🦈
🦈 $PYTH ORACLE NARRATIVE HEATING UP - INSTITUTIONAL FOOTPRINT DETECTED! ⚡ 📌 Pyth is quietly building liquidity depth across multiple blockchains, pulling volume away from legacy oracles. 🔍 On the daily chart, price is compressing into a tight range near a previously swept demand zone—classic accumulation structure before expansion. 💡 While $LINK and $API3 fight for mindshare, the real order flow data suggests smart money is rotating into PYTH's lower-cap setup for the next leg. 📊 Volume divergence on the 1H timeframe confirms sellers are losing control. 💬 Are you watching the oracle rotation play, or sitting this one out? 👇 ⚠️ Not financial advice. Always manage your risk. 🛡️ 🏷️ #PYTH #Oracle #DeFi #Crypto #SmartMoney 🦈 💎
🦈 $PYTH ORACLE NARRATIVE HEATING UP - INSTITUTIONAL FOOTPRINT DETECTED! ⚡

📌 Pyth is quietly building liquidity depth across multiple blockchains, pulling volume away from legacy oracles. 🔍 On the daily chart, price is compressing into a tight range near a previously swept demand zone—classic accumulation structure before expansion.

💡 While $LINK and $API3 fight for mindshare, the real order flow data suggests smart money is rotating into PYTH's lower-cap setup for the next leg. 📊 Volume divergence on the 1H timeframe confirms sellers are losing control. 💬 Are you watching the oracle rotation play, or sitting this one out? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #PYTH #Oracle #DeFi #Crypto #SmartMoney

🦈 💎
·
--
Жоғары (өспелі)
$PYTH is not just another data project — it’s the feed layer for internet-native finance. Most market data comes after the move. Pyth goes straight to the source. Built on direct institutional pricing, it powers faster, cleaner, more trusted data for DeFi, RWAs, exchanges, and prediction markets — with: • 710+ businesses using Pyth data • 125+ institutional publishers • 114+ blockchains receiving feeds • $3.25T+ cumulative volume secured And with Pyth Pro, users get 2,200+ instruments, 3,000+ global price feeds, sub-100ms latency, and 99.99% uptime through one integration. = the utility + governance engine behind the network. $LINK and $INJ help power different pieces of the stack — Pyth powers the data itself. This is what upstream infrastructure looks like. {spot}(LINKUSDT) {spot}(INJUSDT) {spot}(PYTHUSDT) #PYTH #DeFi #RWAS #Web3
$PYTH is not just another data project — it’s the feed layer for internet-native finance.

Most market data comes after the move.
Pyth goes straight to the source.

Built on direct institutional pricing, it powers faster, cleaner, more trusted data for DeFi, RWAs, exchanges, and prediction markets — with:
• 710+ businesses using Pyth data
• 125+ institutional publishers
• 114+ blockchains receiving feeds
• $3.25T+ cumulative volume secured

And with Pyth Pro, users get 2,200+ instruments, 3,000+ global price feeds, sub-100ms latency, and 99.99% uptime through one integration.

= the utility + governance engine behind the network.
$LINK and $INJ help power different pieces of the stack — Pyth powers the data itself.

This is what upstream infrastructure looks like.



#PYTH #DeFi #RWAS #Web3
🔓 PYTH - تحرر من الترند الهابط 📈 <b>قراءة فنية:</b> 💵 السعر: <b>$0.0478</b> 📐 الترند: <b>$0.0475</b> 📏 الفجوة: أعلى من خط الترند بنسبة 0.52% 🏋️ المتانة: <b>74.6%</b> ⚡ <b>إشارة:</b> 🟢 اختراق المقاومة - احتمالية صعود ⚠️ انتظر تأكيد الاختراق 🔔 تابعني للمزيد من الإشارات والتحليلات ⚠️ هذا التحليل لأغراض المراقبة الفنية فقط. ⏰ 2026-07-23 07:21:50 UTC #PYTH #ترند #تحليل_فني #TrendLine
🔓 PYTH - تحرر من الترند الهابط

📈 <b>قراءة فنية:</b>
💵 السعر: <b>$0.0478</b>
📐 الترند: <b>$0.0475</b>
📏 الفجوة: أعلى من خط الترند بنسبة 0.52%
🏋️ المتانة: <b>74.6%</b>

⚡ <b>إشارة:</b>
🟢 اختراق المقاومة - احتمالية صعود
⚠️ انتظر تأكيد الاختراق

🔔 تابعني للمزيد من الإشارات والتحليلات

⚠️ هذا التحليل لأغراض المراقبة الفنية فقط.
⏰ 2026-07-23 07:21:50 UTC
#PYTH #ترند #تحليل_فني #TrendLine
·
--
Жоғары (өспелі)
Расталды
$PYTH The Market Data Layer Built for Internet-Native Finance Most market data is downstream. Pyth Network goes upstream. Instead of relying on delayed or repackaged prices, Pyth sources market data directly from the institutions and trading firms creating it. That's a very different model. • 710+ businesses use Pyth data. • 125+ institutional publishers contribute prices. • 114+ blockchains receive Pyth feeds. • $3.25T+ cumulative volume has been secured. PYTH = The native governance and utility token of the Pyth Network ecosystem. Pyth Pro delivers 2,200+ instruments and 3,000+ global price feeds through one integration with sub-100ms latency and 99.99% uptime. $LINK and $INJ each contribute to different areas of blockchain infrastructure. Pyth is focused on institutional-grade market data for exchanges, RWAs, prediction markets, and internet-native financial applications. Let's go 🤝 #PYTH #DeFi
$PYTH The Market Data Layer Built for Internet-Native Finance

Most market data is downstream.

Pyth Network goes upstream.

Instead of relying on delayed or repackaged prices, Pyth sources market data directly from the institutions and trading firms creating it.

That's a very different model.

• 710+ businesses use Pyth data.
• 125+ institutional publishers contribute prices.
• 114+ blockchains receive Pyth feeds.
• $3.25T+ cumulative volume has been secured.

PYTH = The native governance and utility token of the Pyth Network ecosystem.

Pyth Pro delivers 2,200+ instruments and 3,000+ global price feeds through one integration with sub-100ms latency and 99.99% uptime.

$LINK and $INJ each contribute to different areas of blockchain infrastructure.

Pyth is focused on institutional-grade market data for exchanges, RWAs, prediction markets, and internet-native financial applications.

Let's go 🤝

#PYTH #DeFi
Ash_BNB:
The cross-chain growth part is actually pretty important here.
$PYTH Network has rolled out key updates, focusing on institutional expansion, infrastructure upgrades, and new asset classes: 1. The Pyth Core Upgrade @PythNetwork is ending its completely free, permissionless data model. Applications now access feeds through a paid subscription and API key structure (starting at $500/month.merging Pyth Core into the Pyth Pro system. All subscription revenue flows directly into the PYTH Reserve DAO treasury to establish a self-sustaining economic loop. 2. Launch of 24/7 Pyth Indices Pyth launched $PYTH Indices delivering round-the-clock price feeds across traditional asset classes, including US equities, metals, commodities, and foreign exchange. This allows DeFi platforms to settle trades and power products on traditional assets even outside standard Wall Street market hours. 3. Fixed-Income & Institutional Expansion major institutional data providers—including Fenics Market Data, OpenYield, and Tradeweb have joined the network to supply institutional-grade fixed-income and bond pricing on-chain. 4. Grayscale Launches Pyth Trust Asset manager Grayscale introduced a dedicated Pyth Trust providing institutional investors a structured avenue to gain exposure to PYTH tokens. #PYTH #TrumpNFTCollection $BANK
$PYTH Network has rolled out key updates, focusing on institutional expansion, infrastructure upgrades, and new asset classes:

1. The Pyth Core Upgrade

@Pyth Network is ending its completely free, permissionless data model.

Applications now access feeds through a paid subscription and API key structure (starting at $500/month.merging Pyth Core into the Pyth Pro system. All subscription revenue flows directly into the PYTH Reserve DAO treasury to establish a self-sustaining economic loop.

2. Launch of 24/7 Pyth Indices

Pyth launched $PYTH Indices delivering round-the-clock price feeds across traditional asset classes, including US equities, metals, commodities, and foreign exchange.

This allows DeFi platforms to settle trades and power products on traditional assets even outside standard Wall Street market hours.

3. Fixed-Income & Institutional Expansion
major institutional data providers—including Fenics Market Data, OpenYield, and Tradeweb have joined the network to supply institutional-grade fixed-income and bond pricing on-chain.

4. Grayscale Launches Pyth Trust
Asset manager Grayscale introduced a dedicated Pyth Trust providing institutional investors a structured avenue to gain exposure to PYTH tokens.
#PYTH #TrumpNFTCollection $BANK
·
--
Жоғары (өспелі)
#PYTH pyth network$PYTH 🔮 Análisis Profundo de Pyth Network ($PYTH): El Futuro de los Oráculos en Web3 ​El ecosistema DeFi evoluciona a pasos agigantados y la infraestructura de datos es el pilar invisible pero crítico que sostiene todo el sistema. Aquí es donde Pyth Network ($PYTH) destaca de forma contundente, transformando radicalmente la manera en que las blockchains consumen información financiera en tiempo real. ​🚀 ¿Qué es Pyth Network y por qué es revolucionario? ​A diferencia de los oráculos tradicionales que "empujan" (push) los datos de forma constante incurriendo en altos costos de gas, Pyth implementa un avanzado modelo "Pull" (bajo demanda). Los protocolos DeFi solo solicitan y pagan por la actualización del precio en la blockchain en el momento exacto en que una transacción lo requiere, haciéndolo increíblemente eficiente. ​Datos de primera mano (First-Party Data): Los precios provienen directamente de más de 90 proveedores institucionales líderes (grandes exchanges y firmas globales de trading de la talla de Jane Street o Jump Trading). Esto elimina intermediarios maliciosos y reduce drásticamente el riesgo de manipulación. ​Velocidad ultra rápida: Operando sobre su propia appchain de alto rendimiento basada en la tecnología de Solana (Pythnet), los datos se agregan y distribuyen globalmente en fracciones de segundo (actualizaciones cada milisegundos). ​Intervalos de Confianza: Pyth no se limita a dar un precio único; proporciona un rango de certeza estadística. Esto permite a los protocolos de préstamos y derivados gestionar el riesgo de forma mucho más precisa durante episodios de alta volatilidad en el mercado. ​📈 Catalizadores Clave e Innovación del Ecosistema ​Pyth ha consolidado hitos fundamentales en su infraestructura que fortalecen directamente la utilidad y sostenibilidad de su red: ​Lanzamiento de Pyth Indices Feeds: Expansión masiva hacia índices compuestos y en tiempo real de acciones, metales, materias primas y Forex las 24 horas del día.
#PYTH pyth network$PYTH 🔮 Análisis Profundo de Pyth Network ($PYTH ): El Futuro de los Oráculos en Web3

​El ecosistema DeFi evoluciona a pasos agigantados y la infraestructura de datos es el pilar invisible pero crítico que sostiene todo el sistema. Aquí es donde Pyth Network ($PYTH ) destaca de forma contundente, transformando radicalmente la manera en que las blockchains consumen información financiera en tiempo real.

​🚀 ¿Qué es Pyth Network y por qué es revolucionario?

​A diferencia de los oráculos tradicionales que "empujan" (push) los datos de forma constante incurriendo en altos costos de gas, Pyth implementa un avanzado modelo "Pull" (bajo demanda). Los protocolos DeFi solo solicitan y pagan por la actualización del precio en la blockchain en el momento exacto en que una transacción lo requiere, haciéndolo increíblemente eficiente.

​Datos de primera mano (First-Party Data): Los precios provienen directamente de más de 90 proveedores institucionales líderes (grandes exchanges y firmas globales de trading de la talla de Jane Street o Jump Trading). Esto elimina intermediarios maliciosos y reduce drásticamente el riesgo de manipulación.

​Velocidad ultra rápida: Operando sobre su propia appchain de alto rendimiento basada en la tecnología de Solana (Pythnet), los datos se agregan y distribuyen globalmente en fracciones de segundo (actualizaciones cada milisegundos).

​Intervalos de Confianza: Pyth no se limita a dar un precio único; proporciona un rango de certeza estadística. Esto permite a los protocolos de préstamos y derivados gestionar el riesgo de forma mucho más precisa durante episodios de alta volatilidad en el mercado.

​📈 Catalizadores Clave e Innovación del Ecosistema

​Pyth ha consolidado hitos fundamentales en su infraestructura que fortalecen directamente la utilidad y sostenibilidad de su red:

​Lanzamiento de Pyth Indices Feeds: Expansión masiva hacia índices compuestos y en tiempo real de acciones, metales, materias primas y Forex las 24 horas del día.
Расталды
Everyone talks about AI, RWAs, and perpetuals But none of them work without reliable market data. That's where @PythNetwork comes in. → 125+ institutional publishers → 710+ businesses using Pyth → 114+ blockchains connected → $3.25T+ cumulative volume secured → 60% of on-chain perpetuals powered by Pyth Projects like $LINK , $ONDO , $INJ , $HYPE, $TAO, and $UMA all benefit from accurate, low-latency market data and Pyth is becoming a key piece of that infrastructure. Most data flows downstream. Pyth goes upstream. #PYTH #HongKongStorageStocksStrengthen #BitcoinDominanceRisesTo59%
Everyone talks about AI, RWAs, and perpetuals

But none of them work without reliable market data.

That's where @Pyth Network comes in.

→ 125+ institutional publishers
→ 710+ businesses using Pyth
→ 114+ blockchains connected
→ $3.25T+ cumulative volume secured
→ 60% of on-chain perpetuals powered by Pyth

Projects like $LINK , $ONDO , $INJ , $HYPE, $TAO, and $UMA all benefit from accurate, low-latency market data and Pyth is becoming a key piece of that infrastructure.

Most data flows downstream.
Pyth goes upstream.

#PYTH #HongKongStorageStocksStrengthen
#BitcoinDominanceRisesTo59%
omar Rashid:
ETF flows matter
·
--
Жоғары (өспелі)
زخم إيجابي $PYTH ​تفاصيل الصفقة: نقطة الدخول: 0.04780 - 0.0480 الأهداف: هدف 1: 0.04920 هدف 2: 0.05050 هدف 3: 0.05200 هدف 4: 0.05400 وقف الخسارة: 0.0470 ​يتداول السعر بإيجابية محاولاً اختراق المقاومة اللحظية عند 0.04815، مع التداول أعلى كافة المتوسطات المتحركة وبدعم من صعود مؤشر RSI(6) إلى 68.89 وتقاطع إيجابي مؤكد على MACD. ​تداول هنا $PYTH {future}(PYTHUSDT) #PYTH #Crypto #Binance
زخم إيجابي $PYTH
​تفاصيل الصفقة:
نقطة الدخول: 0.04780 - 0.0480
الأهداف:
هدف 1: 0.04920
هدف 2: 0.05050
هدف 3: 0.05200
هدف 4: 0.05400
وقف الخسارة: 0.0470
​يتداول السعر بإيجابية محاولاً اختراق المقاومة اللحظية عند 0.04815، مع التداول أعلى كافة المتوسطات المتحركة وبدعم من صعود مؤشر RSI(6) إلى 68.89 وتقاطع إيجابي مؤكد على MACD.
​تداول هنا $PYTH

#PYTH #Crypto #Binance
🚨 24/7 markets are no longer the future—they're already here. 📊 Hyperliquid HIP-3 has crossed some massive milestones: 💰 $400B+ cumulative trading volume 👥 352K+ unique traders 📈 158M+ trades executed 💸 $25M+ in trading fees 🔥 $6B+ in open interest across HIP-3 markets The secret behind it? Pyth powers 99.8% of HIP-3 pricing. From equities, commodities, FX, metals, indices, to digital assets, traders get institutional-grade market data through a single integration—24 hours a day, 7 days a week. When traditional exchanges close, the world doesn't stop. Weekend macro events, geopolitical headlines, and breaking news don't wait for Monday—and neither do traders. That's why always-on pricing matters. As global markets evolve toward continuous trading, infrastructure like Pyth is becoming the backbone of the next generation of financial markets. Markets never sleep. Neither should price discovery. 🌍⚡ #PYTH #Hyperliquid #RWA
🚨 24/7 markets are no longer the future—they're already here.

📊 Hyperliquid HIP-3 has crossed some massive milestones:

💰 $400B+ cumulative trading volume
👥 352K+ unique traders
📈 158M+ trades executed
💸 $25M+ in trading fees
🔥 $6B+ in open interest across HIP-3 markets

The secret behind it? Pyth powers 99.8% of HIP-3 pricing.

From equities, commodities, FX, metals, indices, to digital assets, traders get institutional-grade market data through a single integration—24 hours a day, 7 days a week.

When traditional exchanges close, the world doesn't stop.
Weekend macro events, geopolitical headlines, and breaking news don't wait for Monday—and neither do traders.

That's why always-on pricing matters.

As global markets evolve toward continuous trading, infrastructure like Pyth is becoming the backbone of the next generation of financial markets.

Markets never sleep. Neither should price discovery. 🌍⚡

#PYTH #Hyperliquid #RWA
·
--
Мақала
從預言機資訊來源分析 HertzFlow 可能會接下哪幾種資產類別的交易者需求?昨天說到 @HertzFlow_xyz 文檔指出,官方主要採用 Pyth Network 的餵價,來支撐「萬物皆可交易」的願景。 仔細對比後,發現 Pyth 相較於 Chainlink 和 Redstone,Pyth 在多元資產的數據抓取上確實更勝一籌,以下是它可能解放的交易資產需求: 1. 長尾美股、區域性股票 在股票餵價上,Pyth 支援高達 1,840 種各式股票,數量上佔有絕對優勢;Chainlink 則專注於主流美股與 Ondo 資產,走的是專精路線;RedStone 更為不同,它在代幣化資產上主要支持大型機構例如 Securitize 的 BUIDL。 → Pyth 支持餵價的港股、日股等區域性股票,可能會是 HertzFlow 未來優先提供的交易資產,這同時對應上 HertzFlow 濃厚的亞洲背景與使用群體。 2. 特定商品(Commodities) 有別於 Chainlink 僅針對幾種貴金屬、原油進行價格追蹤,Pyth 納入近 150 種大宗商品品項,幾乎全面覆蓋多數可供交易的大宗商品。 → 藉由 Pyth 的餵價,天然氣、大豆、咖啡等標的物,都將成為鏈上可供交易的選項,有利於產業分析師或商品交易員在鏈上運用高槓桿進行交易策略。 3. 外匯 昨天提過,外匯是當前 HertzFlow 在 Beta 階段優先上架的交易資產,當前已有 11 種貨幣對可供交易。 對比 ChainLink 將近 131 種法幣價格餵價,Pyth 的 299 種法幣價格餵價完全屬於不同量級。 不過從平台現階段交易數據來看,其實外匯的交易量偏低,熱絡度等同於指數與部分股票,遠遜於大宗商品。 → Pyth 多達近 300 種的外匯支持,有機會吸引不同地區/國家的使用者,但在流動性極度分散的狀況下,滑點影響也需要持續關注。 總結 不查不知道,一查嚇一跳,Pyth 資料來源的多元性著實驚人。 但對應到交易平台端,我認為「規模」還是 HertzFlow 的核心挑戰,儘管號稱萬物皆可以,但在流動性碎片化的情況下,如何協調、分配流動性讓使用者有順暢的交易體驗,會是需要琢磨的地方。 另外就是我有點好奇,儘管 HertzFlow 介紹文件表示會透過多預言機交叉驗證確保準確性,但如果部分價格來源只有單一預言機可以支持的話,屆時又會如何處理? ● 以上內容皆不構成投資建議(NFA),請用戶根據自身的風險承受能力進行操作,DYOR 謹慎參與投資市場 ● 附圖取自 Pyth ● HertzFlow 5% 手續費折扣:MYRONC #香港存储概念股走强 #hertzflow #PYTH #RWA $PYTH $RED $LINK {spot}(LINKUSDT) {future}(REDUSDT) {future}(PYTHUSDT)

從預言機資訊來源分析 HertzFlow 可能會接下哪幾種資產類別的交易者需求?

昨天說到 @HertzFlow 文檔指出,官方主要採用 Pyth Network 的餵價,來支撐「萬物皆可交易」的願景。
仔細對比後,發現 Pyth 相較於 Chainlink 和 Redstone,Pyth 在多元資產的數據抓取上確實更勝一籌,以下是它可能解放的交易資產需求:
1. 長尾美股、區域性股票
在股票餵價上,Pyth 支援高達 1,840 種各式股票,數量上佔有絕對優勢;Chainlink 則專注於主流美股與 Ondo 資產,走的是專精路線;RedStone 更為不同,它在代幣化資產上主要支持大型機構例如 Securitize 的 BUIDL。
→ Pyth 支持餵價的港股、日股等區域性股票,可能會是 HertzFlow 未來優先提供的交易資產,這同時對應上 HertzFlow 濃厚的亞洲背景與使用群體。
2. 特定商品(Commodities)
有別於 Chainlink 僅針對幾種貴金屬、原油進行價格追蹤,Pyth 納入近 150 種大宗商品品項,幾乎全面覆蓋多數可供交易的大宗商品。
→ 藉由 Pyth 的餵價,天然氣、大豆、咖啡等標的物,都將成為鏈上可供交易的選項,有利於產業分析師或商品交易員在鏈上運用高槓桿進行交易策略。
3. 外匯
昨天提過,外匯是當前 HertzFlow 在 Beta 階段優先上架的交易資產,當前已有 11 種貨幣對可供交易。
對比 ChainLink 將近 131 種法幣價格餵價,Pyth 的 299 種法幣價格餵價完全屬於不同量級。
不過從平台現階段交易數據來看,其實外匯的交易量偏低,熱絡度等同於指數與部分股票,遠遜於大宗商品。
→ Pyth 多達近 300 種的外匯支持,有機會吸引不同地區/國家的使用者,但在流動性極度分散的狀況下,滑點影響也需要持續關注。
總結
不查不知道,一查嚇一跳,Pyth 資料來源的多元性著實驚人。
但對應到交易平台端,我認為「規模」還是 HertzFlow 的核心挑戰,儘管號稱萬物皆可以,但在流動性碎片化的情況下,如何協調、分配流動性讓使用者有順暢的交易體驗,會是需要琢磨的地方。
另外就是我有點好奇,儘管 HertzFlow 介紹文件表示會透過多預言機交叉驗證確保準確性,但如果部分價格來源只有單一預言機可以支持的話,屆時又會如何處理?
● 以上內容皆不構成投資建議(NFA),請用戶根據自身的風險承受能力進行操作,DYOR 謹慎參與投資市場
● 附圖取自 Pyth
● HertzFlow 5% 手續費折扣:MYRONC
#香港存储概念股走强 #hertzflow #PYTH #RWA $PYTH $RED $LINK
Feed-Creator-bac420086:
这种没格局的垃圾币,能指望?
BREAKING NEWS: PYTH PRICE ACTION TAKES CENTER STAGE PYTH/USDT has experienced a 1.67% decline in the past 24 hours, reaching a current price of 0.04667 USDT. Despite the drop, the asset's 24h high of 0.04813 USDT showcases its upward potential. Trading volume remains high at 31.3M USDT, indicating investor interest. Will PYTH bounce back or continue its downward trend? Stay tuned for further updates! #Crypto #PYTH #Binance
BREAKING NEWS: PYTH PRICE ACTION TAKES CENTER STAGE

PYTH/USDT has experienced a 1.67% decline in the past 24 hours, reaching a current price of 0.04667 USDT. Despite the drop, the asset's 24h high of 0.04813 USDT showcases its upward potential. Trading volume remains high at 31.3M USDT, indicating investor interest. Will PYTH bounce back or continue its downward trend? Stay tuned for further updates! #Crypto #PYTH #Binance
$ZHIPU $PYTH 30分钟同步走强,谁爆发力更强教学分析 📖 $ZHIPU 解读 🟢 看多信号 ▸ 策略:30分钟 多头信号 ▸ 分析:ADX40显示是趋势行情,MACD零上金叉,EMA多头排列,KDJ强势,成交量放大2.4倍,多头占优。 ▸ 涨跌幅:1.6200%(注意:涨跌幅仅供参考,不构成投资建议) 💡 小知识:多周期分析通过对比不同时间维度的走势,帮助识别更可靠的交易信号。 📖 $PYTH 解读 🟢 看多信号 ▸ 策略:30分钟 多头信号 ▸ 分析:ADX32是明显趋势行情,MACD零上金叉,EMA多头排列,KDJ强势多头,成交量放大为2.1倍 ▸ 涨跌幅:0.2500%(注意:涨跌幅仅供参考,不构成投资建议) 💡 小知识:多周期分析通过对比不同时间维度的走势,帮助识别更可靠的交易信号。 ⚠️ 以上仅为技术分析学习交流,不构成任何投资建议 #技术分析 #ZHIPU #PYTH 📌 以上内容仅供参考,不构成投资建议
$ZHIPU $PYTH 30分钟同步走强,谁爆发力更强教学分析

📖 $ZHIPU 解读
🟢 看多信号
▸ 策略:30分钟 多头信号
▸ 分析:ADX40显示是趋势行情,MACD零上金叉,EMA多头排列,KDJ强势,成交量放大2.4倍,多头占优。
▸ 涨跌幅:1.6200%(注意:涨跌幅仅供参考,不构成投资建议)
💡 小知识:多周期分析通过对比不同时间维度的走势,帮助识别更可靠的交易信号。

📖 $PYTH 解读
🟢 看多信号
▸ 策略:30分钟 多头信号
▸ 分析:ADX32是明显趋势行情,MACD零上金叉,EMA多头排列,KDJ强势多头,成交量放大为2.1倍
▸ 涨跌幅:0.2500%(注意:涨跌幅仅供参考,不构成投资建议)
💡 小知识:多周期分析通过对比不同时间维度的走势,帮助识别更可靠的交易信号。

⚠️ 以上仅为技术分析学习交流,不构成任何投资建议
#技术分析 #ZHIPU #PYTH
📌 以上内容仅供参考,不构成投资建议
🎯 PYTH - هدف بيع عند ملامسة الترند الهابط ⚡ <b>إشارة التداول:</b> 🔴 ارتداد من المقاومة - فرصة بيع ⚠️ استوب لوز أعلى خط الترند 📊 <b>تنبيه:</b> إدارة المخاطر أمر ضروري عند هذه المستويات 🔬 <b>فحص فني دقيق:</b> 💵 سعر التداول: <b>$0.0473</b> 🎯 سعر الترند: <b>$0.0480</b> 📏 الانحراف: أسفل من خط الترند بنسبة 1.47% 📊 الزخم: <b>هابط 🐻</b> 🏋️ الثبات: <b>85.8%</b> 🌟 فرص تداولية بناءً على التحليل الفني 📐 ⏰ 2026-07-21 22:37:04 UTC #PYTH #تداول #عملات_رقمية
🎯 PYTH - هدف بيع عند ملامسة الترند الهابط

⚡ <b>إشارة التداول:</b>
🔴 ارتداد من المقاومة - فرصة بيع
⚠️ استوب لوز أعلى خط الترند

📊 <b>تنبيه:</b> إدارة المخاطر أمر ضروري عند هذه المستويات

🔬 <b>فحص فني دقيق:</b>
💵 سعر التداول: <b>$0.0473</b>
🎯 سعر الترند: <b>$0.0480</b>
📏 الانحراف: أسفل من خط الترند بنسبة 1.47%
📊 الزخم: <b>هابط 🐻</b>
🏋️ الثبات: <b>85.8%</b>

🌟 فرص تداولية بناءً على التحليل الفني 📐

⏰ 2026-07-21 22:37:04 UTC
#PYTH #تداول #عملات_رقمية
·
--
Жоғары (өспелі)
Ішінара рас
The Best Business in Finance Nobody Can Enter. Most people picture an index as a number on a screen. The S&P 500 up half a percent, the Nasdaq down a point. Behind that number sits one of the most profitable business models in finance. An index is a rules-based measure of a market or a defined set of assets. The provider does not trade, take positions, or run the ETF, futures contract, or perpetual built on top of it. It maintains the methodology, publishes the number, and licenses the right to reference it. That is where the money comes from. In 2025, S&P Global’s Indices division generated $1.85B in revenue and $1.27B in operating profit, with roughly 69% operating margin. MSCI’s Index segment generated $1.79B in revenue, with $770.7M coming from asset-based fees tied to assets and trading volume rather than fixed licensing. The model has been hard to enter because index providers need high-quality data, rights to use that data, and distribution into products people actually trade. Now a new set of venues needs indices the established providers were never structured to supply. Exchanges, prediction markets, and onchain applications trade equities, commodities, and FX around the clock. They need prices that hold continuously on assets that were never priced that way. Pyth Indices are live today across equities, metals, commodities, and FX, built on first-party data from the venues where these assets trade at every hour. The set is growing. Explore Pyth Indices: https://www.pyth.network/indices  #PYTH #RWA
The Best Business in Finance Nobody Can Enter.

Most people picture an index as a number on a screen. The S&P 500 up half a percent, the Nasdaq down a point.

Behind that number sits one of the most profitable business models in finance.

An index is a rules-based measure of a market or a defined set of assets. The provider does not trade, take positions, or run the ETF, futures contract, or perpetual built on top of it.

It maintains the methodology, publishes the number, and licenses the right to reference it.

That is where the money comes from.

In 2025, S&P Global’s Indices division generated $1.85B in revenue and $1.27B in operating profit, with roughly 69% operating margin.

MSCI’s Index segment generated $1.79B in revenue, with $770.7M coming from asset-based fees tied to assets and trading volume rather than fixed licensing.

The model has been hard to enter because index providers need high-quality data, rights to use that data, and distribution into products people actually trade.

Now a new set of venues needs indices the established providers were never structured to supply.

Exchanges, prediction markets, and onchain applications trade equities, commodities, and FX around the clock. They need prices that hold continuously on assets that were never priced that way.

Pyth Indices are live today across equities, metals, commodities, and FX, built on first-party data from the venues where these assets trade at every hour.

The set is growing.

Explore Pyth Indices: https://www.pyth.network/indices

#PYTH #RWA
Көбірек контент көру үшін кіріңіз
Binance Square платформасында әлемдік криптоқоғамдастыққа қосылыңыз
⚡️ Криптовалюта туралы ең соңғы және пайдалы ақпаратты алыңыз.
💬 Әлемдегі ең ірі криптобиржаның сеніміне ие.
👍 Расталған авторлардың нақты пікірлерін табыңыз.
Электрондық пошта/телефон нөмірі