Crypto Prediction in the Gray Zone: Alliance Formation, Regulatory Pressure, and the Battle for the Future
Last week, the "Prediction Market Alliance" initiated by Kalshi and Crypto.com aims to unify industry voices, seeking a balance between compliance, liquidity, and trust in the crypto prediction market, highlighting the rapid development and regulatory challenges of this gray-zone track.
Last Thursday (December), Kalshi and Crypto.com took the lead, jointly establishing the "Prediction Market Alliance" organization with Coinbase, Robinhood, and Underdog. However, Polymarket, DraftKings, FanDuel, and Fanatics did not join the alliance. It is understood that the organization aims to form a unified industry front line amid the escalating debate over the legality of prediction markets.
Matt David, Executive Committee Member of the Alliance and President of North America & Chief Business Officer of Crypto.com, stated: "The United States is the largest frontier for prediction markets. The trends we see indicate that having a unified industry voice is not only important but also imperative. Prediction markets are a new layer of civic infrastructure—a public interest technology that can help people gain clearer insights and assist institutions in making better decisions. It democratizes financial participation by rewarding people's knowledge, not their connections. As consumer interest accelerates and regulations continue to evolve, the alliance will promote responsible and transparent development, ensuring the benefits of prediction markets reach a broader public."
This article will analyze what crypto prediction markets are, how they differ from traditional gambling, and the real development prospects of this track under the pressures of compliance, capital entry, and industry alliances.
What is Crypto Prediction?
Crypto prediction markets are event prediction trading mechanisms based on blockchain or crypto assets, where users can buy and sell contracts around uncertain events such as election outcomes, macroeconomic data, and sports events. The contract price directly reflects the collective market judgment on the probability of a particular outcome occurring.
From an industry perspective, the current crypto prediction market shows a parallel development trend of "native crypto platforms + compliant financial platforms." Polymarket is the most representative native crypto prediction market, operating on blockchain with stablecoins and having high activity among global users; Kalshi follows a compliant path, being one of the few platforms approved by U.S. regulatory authorities to offer event contract trading to the public; additionally, early projects like Augur and prediction tools based on the Gnosis ecosystem have laid the industry's technical foundation.
How Does It Differ from Traditional Gambling?
Compared to traditional gambling, crypto prediction markets differ fundamentally in participation logic, pricing mechanisms, and risk structure.
Traditional gambling is usually set by the platform or "house" with odds, where users can only bet on predetermined options. The odds reflect the house's balance of risk and profit rather than the overall market judgment; the core role of gambling companies is to hedge risks and lock in抽水收益, and there is no true price speculation between users.
Crypto prediction markets are closer to an "event-driven trading market." In most platforms, each outcome corresponds to a tradable contract, with its price determined by market supply and demand, often directly interpreted as the probability of that outcome occurring. For example, if an event contract is priced at $0.65, it means the market believes the probability of its occurrence is about 65%. Users can "buy to be bullish" or sell early for profit during price fluctuations, rather than waiting for the final outcome.
In terms of risk structure, gambling is primarily a one-time win-or-lose outcome with highly dispersed results; the risks and returns of prediction markets can be managed through continuous trading, batch positioning, and hedging, closer to the operation of financial markets. Additionally, prediction markets do not rely on the platform as a counterparty; platforms mainly provide matching, settlement, and infrastructure services, which makes them emphasize information discovery and market efficiency rather than entertainment attributes.
Crypto Prediction Markets Growing in the Gray Zone
While crypto prediction markets are expanding rapidly, they continue to expose risks at the institutional and business levels. Taking the U.S. market as an example, trading volume for prediction contracts around events like presidential elections and inflation data significantly amplified in 2024. Polymarket多次出现单一事件合同成交额数千万美元的情况, but the platform has始终未向美国本土用户开放, showing its cautious attitude towards regulatory boundaries. In comparison, the compliant Kalshi chooses to actively收缩产品设计, focusing on macroeconomic indicators like inflation and employment, avoiding more controversial political events.
The instability of liquidity structure is also a common industry issue. Prediction markets are often highly active before major events, but交易迅速降温 after events conclude. This "event-driven traffic" causes significant fluctuations in platform revenue and user retention. Additionally, disputes over outcome determination standards are not uncommon. Some contracts引发争议 during the settlement stage due to different data source choices, exposing issues of insufficient transparency in oracle machines and rules.
At the industry level, platform camps are分化并主动寻求话语权. Kalshi and Crypto.com牵头联合Coinbase and Robinhood to form the Prediction Market Alliance, attempting to participate in regulatory discussions with a unified stance; non-joiners like Polymarket, DraftKings, and FanDuel continue to advance along their respective paths. Overall, crypto prediction markets are no longer边缘化实验; their prospects depend on whether they can achieve a balance between规模化流动性 and long-term trust within a regulatory-acceptable framework.
Related recommendation: Analyst: Bitcoin (BTC) four-year cycle remains, but drivers shift to politics and liquidity
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