💥 Gate Square Event: #PostToWinPORTALS# 💥
Post original content on Gate Square related to PORTALS, the Alpha Trading Competition, the Airdrop Campaign, or Launchpool, and get a chance to share 1,300 PORTALS rewards!
📅 Event Period: Sept 18, 2025, 18:00 – Sept 25, 2025, 24:00 (UTC+8)
📌 Related Campaigns:
Alpha Trading Competition: Join for a chance to win rewards
👉 https://www.gate.com/announcements/article/47181
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Launchpool: Stake GT to earn PORTALS
👉 https://www.gate.com/announcements/articl
Today, I encountered an exciting scene. A fren of mine who works at a top quantitative fund on Wall Street, had previously been skeptical about my involvement in Web3 projects. However, today she took the initiative to ask me whether the data from Pyth Network could be integrated into their company's strategy model through off-chain means. At that moment, I deeply felt the immense potential and influence of the Web3 field.
Pyth Network, as a decentralized data project, is having a profound impact on the traditional financial data industry. Its advantages are mainly reflected in the following aspects:
First, the source quality of the data is extremely high. Pyth Network aggregates direct data inputs from over 125 top global exchanges and market makers, including well-known institutions such as Jane Street and Binance. This ensures the accuracy and reliability of the data.
Secondly, the data update speed is fast. By adopting a pull-based oracle model, Pyth Network can achieve sub-second high-frequency price updates, meeting the demands of rapid trading.
Moreover, the network coverage is extensive. Pyth Network has covered over 400 blockchain networks, including Solana and EVM chains, becoming a core data support for many DeFi applications.
From an investment perspective, the strategy of Pyth Network can be described as a 'dimensionality reduction strike' against the traditional data industry. Traditional data providers often offer 'second-hand' data that has gone through multiple hands, while Pyth Network connects directly to the data sources, incorporating top exchanges and market makers into its ecosystem. This model not only improves the timeliness and accuracy of the data but also significantly reduces the cost of acquiring high-quality data.
This innovative model is attracting the attention of traditional financial institutions. It demonstrates how Web3 technology can optimize existing financial data processing workflows, bringing new possibilities to fields such as quantitative trading. The success of the Pyth Network also proves that Web3 projects are no longer niche experiments, but an important force capable of having a substantial impact on the mainstream financial industry.
As more traditional financial institutions begin to pay attention to and attempt to integrate Web3 data platforms like Pyth Network, we may witness significant changes in the landscape of the financial data industry. This is not just a technological advancement, but a shift in the entire industry's way of thinking. In the future, we may see more integration of traditional finance and Web3 technology, jointly promoting the financial industry towards a more open and efficient direction.