Introduction
Storm Trade is committed to providing its users with the best possible trading experience. That's why we are pleased to announce our partnership with Pyth Network, a leading provider of accurate and timely price data for the cryptocurrency market. By partnering with Pyth, Storm provides users with the most accurate and up-to-date prices, with price updates occurring several times per second!
Pyth Network Retrospective Airdrop for dApps
As a testament to our commitment to innovation, we are proud to announce that the Storm Trade exchange has been selected as the recipient of a PYTH token allocation as part of the Pyth Network Retrospective Airdrop program. This allocation will allow us to enhance our platform and provide even greater certainty of price delivery for our traders and liquidity providers.
Where will the allocation go?
The PYTH grant will allow us to implement our most ambitious plans to improve various aspects of our exchange. These include:
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Enhancing the user experience through interface improvements;
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Expanding our outreach to the community through educational initiatives and events;
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Conducting a thorough audit to ensure the safety and reliability of our platform.
Integration with Pyth Price Feeds
Storm Trade integrated Pyth Price Feeds while still in the testing phase, with accurate price data later moving to the mainnet. We choose Pyth for their reputation for accuracy and reliability. Pyth Network provides price data on over 200 different assets, which will allow us to add them to Storm Trade in the future.
Here's why we choose Pyth
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Lack of latency and high frequency of updates;
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Robust security measures;
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Seamless integration process;
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Broad asset coverage across multiple blockchains.
You can evaluate the capabilities of the Pyth Network for yourself by trading on Storm Trade today! Follow Pyth Network for the latest news and updates and subscribe to their social media channels:
Website: https://pyth.network
Price Feeds: https://pyth.network/price-feeds
Docs: https://docs.pyth.network
Twitter: https://x.com/PythNetwork