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$PYTH Network is a decentralized oracle network that delivers real-time financial market data —including crypto, equities, FX, and commodities— directly to smart contracts across multiple blockchains. Its mission is to become the global pricing layer for decentralized finance (DeFi). @PythNetwork #PythRoadmap
$PYTH Network is a decentralized oracle network that delivers real-time financial market data —including crypto, equities, FX, and commodities— directly to smart contracts across multiple blockchains. Its mission is to become the global pricing layer for decentralized finance (DeFi).
@Pyth Network #PythRoadmap
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DO YOU KNOW THAT....? The U.S. government selected $PYTH (alongside Chainlink) to publish official economic data (like GDP) on-chain for greater transparency. Following this announcement, the PYTH token experienced a significant price surge. Pyth (programming language for code-golf) What is code-golf: a very concise language designed for code golf (writing programs with the fewest possible characters). Every function, variable, or statement is a single character. It compiles into Python code and then executes. It’s not meant for production use—its main role is in programming contests focused on brevity. Minimal syntax, using only essential parentheses or delimiters. @PythNetwork #PythRoadmap
DO YOU KNOW THAT....?

The U.S. government selected $PYTH (alongside Chainlink) to publish official economic data (like GDP) on-chain for greater transparency. Following this announcement, the PYTH token experienced a significant price surge.
Pyth (programming language for code-golf)
What is code-golf: a very concise language designed for code golf (writing programs with the fewest possible characters).
Every function, variable, or statement is a single character.
It compiles into Python code and then executes. It’s not meant for production use—its main role is in programming contests focused on brevity. Minimal syntax, using only essential parentheses or delimiters. @Pyth Network #PythRoadmap
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Pyth uses a DAO model where $PYTH tokens grant voting power. Token holders can propose and vote on key changes through Pyth Improvement Proposals (PIPs), covering technical parameters and strategic integrations. Major publishers participate but do not dominate governance, which is designed to stay decentralized. Looking forward, staking + slashing mechanisms and subDAOs will make governance more robust and resistant to manipulation. $PYTH @PythNetwork #PythRoadmap
Pyth uses a DAO model where $PYTH tokens grant voting power. Token holders can propose and vote on key changes through Pyth Improvement Proposals (PIPs), covering technical parameters and strategic integrations. Major publishers participate but do not dominate governance, which is designed to stay decentralized. Looking forward, staking + slashing mechanisms and subDAOs will make governance more robust and resistant to manipulation. $PYTH @Pyth Network #PythRoadmap
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Security and Resilience in Pyth, $PYTH does not depend on a single data source. It integrates more than 100 publishers (trading firms, exchanges, financial institutions). If a node sends manipulated data, it gets diluted among multiple sources. Statistical consolidation algorithms (medians, outlier detection) are applied to reduce the impact of anomalous or manipulated prices. Unlike Chainlink (push oracle), Pyth updates data only when a dApp needs it. This reduces exposure to congestion attacks (spamming) and avoids unnecessary gas expenses in constant updates. Multichain Redundancy, prices are published on several chains (Solana, Ethereum, BNB Chain, Base, etc.) using Wormhole as a messaging layer. Slashing (penalties with staking) for malicious publishers. Fast updates (seconds, not minutes). If a feed is not updated, dApps can detect that the data is 'stale' and use contingency measures (e.g., pause loans, limit swaps). @PythNetwork #PythRoadmap
Security and Resilience in Pyth, $PYTH does not depend on a single data source. It integrates more than 100 publishers (trading firms, exchanges, financial institutions). If a node sends manipulated data, it gets diluted among multiple sources. Statistical consolidation algorithms (medians, outlier detection) are applied to reduce the impact of anomalous or manipulated prices. Unlike Chainlink (push oracle), Pyth updates data only when a dApp needs it. This reduces exposure to congestion attacks (spamming) and avoids unnecessary gas expenses in constant updates. Multichain Redundancy, prices are published on several chains (Solana, Ethereum, BNB Chain, Base, etc.) using Wormhole as a messaging layer. Slashing (penalties with staking) for malicious publishers. Fast updates (seconds, not minutes). If a feed is not updated, dApps can detect that the data is 'stale' and use contingency measures (e.g., pause loans, limit swaps). @Pyth Network #PythRoadmap
Pyth is the price oracle backbone of DeFi. Without accurate real-time external data feeds, lending, derivatives, stablecoins, and risk management protocols could not function securely. Lending & Borrowing Protocols, Users deposit assets (e.g., ETH) as collateral. The protocol requires a reliable USD valuation of that collateral. $PYTH provides real-time price feeds directly on-chain, Derivatives and Perpetual DEXs, Perpetual futures or derivatives protocols (e.g., Drift Protocol on Solana) rely on Pyth for reference pricing. This aggregated price prevents manipulation from a single centralized exchange. @PythNetwork #PythRoadmap
Pyth is the price oracle backbone of DeFi. Without accurate real-time external data feeds, lending, derivatives, stablecoins, and risk management protocols could not function securely. Lending & Borrowing Protocols, Users deposit assets (e.g., ETH) as collateral. The protocol requires a reliable USD valuation of that collateral. $PYTH provides real-time price feeds directly on-chain, Derivatives and Perpetual DEXs, Perpetual futures or derivatives protocols (e.g., Drift Protocol on Solana) rely on Pyth for reference pricing. This aggregated price prevents manipulation from a single centralized exchange. @Pyth Network #PythRoadmap
Publishing to Blockchains Multi-chain deployment: $PYTH publishes prices across 60+ blockchains, including Ethereum, Solana, BNB Chain, Base, Polygon, Aptos, and Sui. Unlike push-based oracles (e.g., Chainlink), Pyth leverages a pull oracle model: Prices are continuously available off-chain. Smart contracts fetch (pull) the latest price on-demand, paying gas only when the data is consumed. @PythNetwork #PythRoadmap Use cases in DeFi: Lending protocols: to calculate loan collateralization and liquidations. Derivatives/DEXs: to provide accurate pricing for perpetuals, futures, or options. Stablecoins: to maintain peg stability through external price references.
Publishing to Blockchains
Multi-chain deployment: $PYTH publishes prices across 60+ blockchains, including Ethereum, Solana, BNB Chain, Base, Polygon, Aptos, and Sui. Unlike push-based oracles (e.g., Chainlink), Pyth leverages a pull oracle model: Prices are continuously available off-chain. Smart contracts fetch (pull) the latest price on-demand, paying gas only when the data is consumed. @Pyth Network #PythRoadmap
Use cases in DeFi:
Lending protocols: to calculate loan collateralization and liquidations. Derivatives/DEXs: to provide accurate pricing for perpetuals, futures, or options. Stablecoins: to maintain peg stability through external price references.
🎙️ Hello Everyone!!
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🎙️ congratulations to those who won in creator pad boom boom
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Process Pyth @PythNetwork #PythRoadmap 1. Publishers feed institutional-grade data.(Real examples include Cboe Global Markets, Binance, OKX, Jane Street, Jump Trading, Wintermute.) 2. Pyth aggregates and validates it into a robust reference price.(Pyth’s protocol aggregates these inputs into a single reference price plus a confidence interval.) 3. Blockchains consume those prices for critical DeFi operations.(Multi-chain deployment: $PYTH publishes prices across 60+ blockchains, including Ethereum, Solana, BNB Chain, Base, Polygon, Aptos, and Sui.)
Process Pyth @Pyth Network #PythRoadmap
1. Publishers feed institutional-grade data.(Real examples include Cboe Global Markets, Binance, OKX, Jane Street, Jump Trading, Wintermute.)
2. Pyth aggregates and validates it into a robust reference price.(Pyth’s protocol aggregates these inputs into a single reference price plus a confidence interval.)
3. Blockchains consume those prices for critical DeFi operations.(Multi-chain deployment: $PYTH publishes prices across 60+ blockchains, including Ethereum, Solana, BNB Chain, Base, Polygon, Aptos, and Sui.)
$PYTH token governs and secures the ecosystem, while the pull oracle model is the technical innovation that makes Pyth more cost-effective and scalable compared to traditional oracles. Prices are continuously updated on the Pyth network. When a smart contract needs a price, it “pulls” the data on demand. Gas or fees are only paid when the data is actually consumed. @PythNetwork #PythRoadmap
$PYTH token governs and secures the ecosystem, while the pull oracle model is the technical innovation that makes Pyth more cost-effective and scalable compared to traditional oracles.
Prices are continuously updated on the Pyth network. When a smart contract needs a price, it “pulls” the data on demand. Gas or fees are only paid when the data is actually consumed. @Pyth Network #PythRoadmap
The $PYTH Token Governance: token holders can vote on key decisions, such as: Which new blockchains should be supported. Data update frequency and publishing policies. Incentive structures for price publishers. @PythNetwork #PythRoadmap Staking (still evolving): Used to secure the network, where data providers may be required to stake. Slashing mechanism: if a provider submits faulty or malicious data, part of their stake could be penalized. Rewards: in the future, data publishers and validators may earn incentives in $PYTH. Supply & Distribution: A portion was airdropped to the community, another allocated to developers, and the rest to the foundation’s treasury. This ensures progressive decentralization over time.
The $PYTH Token
Governance: token holders can vote on key decisions, such as:
Which new blockchains should be supported. Data update frequency and publishing policies. Incentive structures for price publishers. @Pyth Network #PythRoadmap
Staking (still evolving): Used to secure the network, where data providers may be required to stake. Slashing mechanism: if a provider submits faulty or malicious data, part of their stake could be penalized.
Rewards: in the future, data publishers and validators may earn incentives in $PYTH .
Supply & Distribution: A portion was airdropped to the community, another allocated to developers, and the rest to the foundation’s treasury. This ensures progressive decentralization over time.
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🎙️ 🚀 BPRK1ON533 🧧
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WHY PYTH IS DOWN THIS WEEK? No single massive public sale of $PYTH has been detected this week (at least in the usual trackers). The price drop seems aligned with distributed selling pressure (several small-to-medium sales) in a context of already weak demand. Low trading volume amplified the downside move, since fewer buyers were available to absorb sell orders. Technical breakdowns of support levels further accelerated the decline. Overall, the drop looks less like a whale dump and more like gradual liquidity outflow combined with weak market confidence. @PythNetwork #PythRoadmap
WHY PYTH IS DOWN THIS WEEK?
No single massive public sale of $PYTH has been detected this week (at least in the usual trackers). The price drop seems aligned with distributed selling pressure (several small-to-medium sales) in a context of already weak demand. Low trading volume amplified the downside move, since fewer buyers were available to absorb sell orders. Technical breakdowns of support levels further accelerated the decline. Overall, the drop looks less like a whale dump and more like gradual liquidity outflow combined with weak market confidence. @Pyth Network #PythRoadmap
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PYTH has a major unlock planned (~2.13 billion tokens) that would amount to releasing a significant portion of the circulating supply. Markets often anticipate these events and "prices drop beforehand," out of fear of massive sales of the released tokens. After the unlock, if many tokens go to exchanges or sellers, that exerts additional supply pressure. @PythNetwork #PythRoadmap $PYTH
PYTH has a major unlock planned (~2.13 billion tokens) that would amount to releasing a significant portion of the circulating supply. Markets often anticipate these events and "prices drop beforehand," out of fear of massive sales of the released tokens. After the unlock, if many tokens go to exchanges or sellers, that exerts additional supply pressure.
@Pyth Network #PythRoadmap $PYTH
PYTH PRO @PythNetwork #PythRoadmap $PYTH Global cross-asset coverage (crypto, equities, commodities, FX, fixed income). Over 2,000 price feeds, delivered both on-chain and off-chain, with new symbols added weekly. High-frequency data updates: millisecond-level latency. Reliability (uptime): > 99.9%. Accuracy: ~ 95% vs NBBO (National Best Bid/Offer benchmark). Backed by over 125 institutions, including Jane Street, Jump Trading, DRW, Optiver, Cboe, LMAX, Revolut. Transparent aggregation models, with confidence intervals and staking/slashing mechanisms to ensure accuracy.
PYTH PRO @Pyth Network #PythRoadmap $PYTH
Global cross-asset coverage (crypto, equities, commodities, FX, fixed income). Over 2,000 price feeds, delivered both on-chain and off-chain, with new symbols added weekly. High-frequency data updates: millisecond-level latency. Reliability (uptime): > 99.9%. Accuracy: ~ 95% vs NBBO (National Best Bid/Offer benchmark). Backed by over 125 institutions, including Jane Street, Jump Trading, DRW, Optiver, Cboe, LMAX, Revolut.
Transparent aggregation models, with confidence intervals and staking/slashing mechanisms to ensure accuracy.
Pyth @PythNetwork #PythRoadmap Sep 5, 2025 – DAO “Phase 2” Proposal Governance session scheduled to discuss new subscription-based models and value-return mechanisms for the DAO/community. Sep 2025 – Q2 Report Highlights Despite sell pressure from May’s token unlock, $PYTH remains one of the few oracle networks to report positive growth in price updates, TVS, and staking activity.
Pyth @Pyth Network #PythRoadmap
Sep 5, 2025 – DAO “Phase 2” Proposal
Governance session scheduled to discuss new subscription-based models and value-return mechanisms for the DAO/community.
Sep 2025 – Q2 Report Highlights
Despite sell pressure from May’s token unlock, $PYTH remains one of the few oracle networks to report positive growth in price updates, TVS, and staking activity.
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