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Prediction Market ETFs: A Foray into the Mainstream or Playing with Fire?

A new wave of ETF applications has been submitted to the SEC by asset managers including Bitwise, GraniteShares, and Roundhill Investments. These ETFs aim to track the outcomes of U.S. political elections—such as the 2028 presidential race and 2026 midterm control of Congress—by packaging prediction market contracts into tradable securities. This would allow mainstream investors to use traditional brokerage accounts to bet on electoral results, similar to platforms like Polymarket or Kalshi, but within the regulated financial system. Prediction markets aggregate crowd-sourced probabilities through financial incentives, often demonstrating stronger predictive accuracy than traditional polls, as seen during the 2024 U.S. election. The proposed ETFs would reflect binary event probabilities, with share prices fluctuating between $0 and $1. If the predicted outcome occurs, the ETF value approaches $1; otherwise, it nears zero. Most funds would liquidate after the event settles. This move could significantly broaden participation and liquidity, potentially making prediction markets a tool for hedging policy risks or macro strategies. However, it also raises regulatory and ethical concerns, including potential market influence on public perception and the risk of manipulation. The SEC’s approval remains uncertain, as it may view these products as blurring the line between investing and gambling. The outcome of these applications could signal a major shift in how probabilistic events are traded and perceived in mainstream finance.

Odaily星球日报02/22 12:43

Prediction Market ETFs: A Foray into the Mainstream or Playing with Fire?

Odaily星球日报02/22 12:43

Data Modeling: How to Improve the Quality of Interaction on Polymarket?

Polymarket, a leading prediction market platform, is anticipated to have one of the largest airdrops in the sector. This analysis provides a data-driven strategy to optimize user interactions for potential rewards. A critical finding is that public dashboards often double-count trading volume by including both sides of a trade. The true, single-sided figure is likely half of what is displayed, which will be the metric Polymarket uses internally. User distribution data reveals extreme concentration: only 0.51% of addresses profited over $1,000, and a mere 1.74% traded over $50,000. Crucially, 79% of traders have never earned even $1 in liquidity provider (LP) rewards, making LP activity a currently undervalued and highly capital-efficient interaction. Historical airdrop precedents suggest rewards will be based on active behavior—not profitability—to avoid favoring insiders. A multi-dimensional model is predicted, likely featuring: * 40% weight on trade volume (using a square root compression formula to limit whale dominance). * 35% weight on LP rewards. * 15% weight on market diversity (number of distinct markets traded in). * 10% weight on longevity (months active). The analysis advises users to accumulate genuine, on-chain provable volume across diverse markets, hold positions for 1-24 hours, and, most importantly, begin providing liquidity to accumulate LP rewards, which are a strong anti-Sybil signal. A hard cap per address is also expected to prevent excessive concentration of the airdrop.

Odaily星球日报02/22 10:57

Data Modeling: How to Improve the Quality of Interaction on Polymarket?

Odaily星球日报02/22 10:57

Deep Reflections Behind the OP Plunge

In a significant move, Coinbase's Base announced its departure from the Optimism OP Stack to develop its own proprietary unified architecture, causing a sharp 20% drop in $OP’s price. This event highlights the ongoing debate between two competing economic models for blockchain infrastructure: Optimism’s fully open-source, MIT-licensed approach versus Arbitrum’s “community source” model, which mandates a 10% protocol income contribution from chains built on its Orbit stack that settle outside the Arbitrum ecosystem. Optimism’s strategy emphasizes openness and network effects, attracting major projects like Base, Worldcoin, and Uniswap with its modular, permission-free stack. However, this model risks ecosystem fragmentation, as high-value chains may eventually choose independence. In contrast, Arbitrum enforces economic alignment through its revenue-sharing requirement, aiming for long-term sustainability, though it may slow initial adoption. This tension mirrors historical open-source dilemmas, such as those seen with Linux, MySQL, and WordPress, where balancing free access with sustainable funding remains challenging. In crypto, the presence of native tokens amplifies these dynamics, making economic alignment and infrastructure financing even more critical. Neither model is perfect—each involves trade-offs between growth and sustainability. The key takeaway is the need for a broader ecosystem discussion on how to fund and maintain essential public infrastructure without relying on free-riders. Base’s exit should serve as a catalyst for this conversation.

marsbit02/22 09:27

Deep Reflections Behind the OP Plunge

marsbit02/22 09:27

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