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Analysis of the Rise and Competitive Landscape of Prediction Markets Prediction markets are speculative markets that trade based on the outcomes of future events, with their core function being to aggregate dispersed information through contract prices. Under certain conditions, contract prices can be interpreted as the probability predictions of those events occurring. A large body of research has shown that the accuracy of prediction markets is very high, often surpassing traditional forecasting methods. This predictive ability comes from "collective intelligence": anyone can participate in the market, and traders with better information have economic incentives to engage in trading, thereby driving prices closer to true probabilities. The origins of modern prediction markets can be traced back to the late 1980s. The first academic prediction market was the Iowa Electronic Markets established in 1988 at the University of Iowa(IEM). IEM is a small-scale real-money market that mainly focuses on the outcomes of U.S. elections. Despite its limited scale, IEM

Nibiru Chain is an emerging Layer 1 public chain focused on Decentralized Finance trading, with advantages in security and speed, aiming to become a competitor to well-known derivation platforms. Its core components include Perptual Futures, automated market making, over-collateralization stablecoins, and native Oracle Machine. To promote the development of the ecosystem, Nibiru will integrate with multiple chains. In terms of security, developers need to follow issues such as smart contracts upgrades, security audits, and access control.

This article analyzes the categories of stablecoins in the crypto market and their yield models. The main content includes the types of stablecoins (such as USDT, USDC, DAI, etc.) and yield models like lending, Liquidity Mining, and Arbitrage. By understanding the sources of stablecoin yields and reasonable allocation strategies, investors can better cope with market risks on a stable basis.