Pyth

Vela Exchange has launched the Trading Grand Prix on the Arbitrum platform, with support from Pyth Data. The competition offers a multi-season trading challenge where participants can secure their name on the leaderboard. Pyth Data's ultra-low-latency price data enables Vela to provide a smooth trading experience. There will be an exclusive AMA session to learn more about the Trading Grand Prix.

Pyth is excited to support Vela Exchange's Trading Grand Prix. The contest will feature participants competing for a place on the trading leaderboards. Pyth's ultra-low-latency price data will enable Vela to provide a smooth trading experience. To learn more, read the case study and join the upcoming AMA session.

SwissBorg, a leading crypto wealth platform, has joined the Pyth Network and will contribute its market data for various digital assets and foreign currencies. SwissBorg's CTO, Nicolas Rémond, highlighted Pyth's low-latency oracle and pull business model as key innovations for the growth of DeFi. Abhimanyu Bansal, Head of Partnerships at Douro Labs, expressed excitement about SwissBorg's reliable and credible data contribution to ensure security and reliability on the Pyth Network.

The Pyth community has experienced significant growth, with over 400 price feeds, 290 dApps, and 90 data providers. Additionally, there are plans to support more than 50 blockchains in the near future.

Tomb+, a prediction game on Fantom mainnet, has integrated with Pyth Benchmarks to accurately reference historic asset prices for their binary options. Users can wager on binary markets to predict the price movement of $FTM within a set timeframe. The integration allows participants to passively provide liquidity to the protocol. Tomb+ is now live on Fantom mainnet.

Pyth announces that more than 280 apps have integrated with Pyth Price Feeds.

The Pyth Network has announced their excitement for building a stronger partnership with Lyve Finance. The Pythians are prepared to govern.

There's a gator in all of us, waiting to make a splash

Building random number generation on blockchains is complicated due to their deterministic nature. Different approaches include Trusted Third Party, Blockhash, VRF (Verifiable Random Function), and Commit-Reveal. Each approach has its benefits and drawbacks in terms of trust, security, and cost. For secure random number generation, the PythEntropy system can be explored.

Pyth has developed hyper-liquid “cloned” assets that are powered by the platform.