🛑🛑🛑 Airdrop Pyth Network Analysis 🛑🛑🛑
The Pyth Network has launched the second phase of its retrospective airdrop, distributing PYTH tokens to decentralized applications (dApps) that use Pyth data for their operations. This phase follows the initial distribution, which reached over 90,000 wallets across 27 blockchains(Price Feed Oracle)(Price Feed Oracle).
Basic airdrop metrics
airdrop distribution: 250,134,630 PYTH tokens allocated for airdrop.
Percentage of Total Supply: This distribution represents 2.50% of the total supply of $PYTH tokens.
Claimed Tokens: There are currently 165,230,195 $PYTH tokens claimed.
Value of the declared tokens: The declared tokens are valued at $66,996,878 USD.
Application Rate: Approximately 66.06% of the allocated tokens were claimed by 52,122 wallets.
Valuation and Staking
Full Valuation: PYTH's latest Full Valuation (FDV) is $4,054,760,000.
Total number of token holders: There are currently 348,938 PYTH token holders.
Stake tokens: 987,146,658 PYTH tokens which is equivalent to $414,595,673 USD.
Governance Participation: 2,468,664 PYTH tokens are being pushed across proposals, highlighting active participation in network governance.
Important points
Eligible dApps: Over 160 dApps are eligible for the second phase of the airdrop, including big names like Synthetix, Mango Markets, Bonfida, Helium and PancakeSwap. These dApps cover various DeFi use cases, such as decentralized exchanges (DEXs), borrowing/lending platforms, and stable coin protocols (Token Insight).
Ecosystem Integration: Staking PYTH tokens to participate in various airdrops of the Solana ecosystem, participate in governance and maintain the liquidity and activity of the community (Boxmining).
Conclusion
Pyth Network's retrospective airdrop aims to reward the active DeFi community and participants while promoting growth and engagement in the ecosystem. The significant distribution of tokens and high level of applications highlight the active participation and trust of the community in the Pyth Network.
For more detailed data and graphs related to Pyth Network airdrops, you can visit the official Pyth Network blog and other related sources for ongoing updates and detailed analysis.