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Prediction Market Debuts on Solana via Phantom Wallet

By Emma Whitfield

Prediction Market Debuts on Solana via Phantom Wallet

Oracle-Powered Predictions

World, a prediction market platform, launched on July 1 inside the Phantom wallet and at its website. It allows users to trade in CASH, Phantom's stablecoin. The platform was previously a mysterious Trade Everythingaccount that teased its existence for over two years.

The platform's creators decided to reveal their identity in late June after a prolonged period of anonymity. World relies on Chainlink oracles for its operations, rather than human judgment, to resolve predictions.

Can Oracles Replace Human Judgment?

By leveraging Chainlink, World aims to provide a more reliable and transparent prediction market. This approach eliminates the need for human intervention in resolving outcomes, reducing the risk of bias or manipulation. The use of oracles ensures that data is fed into the platform in a secure and trustworthy manner.

The decision to use Chainlink oracles instead of human-run resolution is a significant aspect of World's design. This choice is expected to enhance the platform's credibility and attract more users. As the prediction market grows, it will be interesting to see how the oracle-powered system performs in practice.

Frequently Asked Questions

The launch of World on Solana and Phantom is expected to expand the prediction market landscape. As the platform gains traction, it may attract new users and create new opportunities for traders. The success of World will depend on its ability to provide accurate and reliable predictions, as well as its overall user experience.

What is World's prediction market based on? World's prediction market is built on Solana and utilizes Chainlink oracles for its operations. How does World resolve predictions? World uses Chainlink oracles to resolve predictions, eliminating the need for human judgment. What is the native currency for trading on World? Users can trade in CASH, Phantom's stablecoin.

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Content written by Emma Whitfield for blockbriefe.com editorial team, AI-assisted.

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