Prediction Markets Move Behind the Scenes: The Second Half of the Industry Unfolds Beyond Standalone Platforms
- Major financial platforms including Binance, Coinbase, Interactive Brokers, and Robinhood are integrating prediction market capabilities into their existing products rather than directing users to standalone platforms like Polymarket and Kalshi.
- Binance integrated Predict.fun and opened a Prediction Markets API; Coinbase incorporated prediction markets into its Everything Exchange using Kalshi liquidity; Interactive Brokers unified three prediction market venues (Kalshi, CME Group, ForecastEx) in a single interface.
- The industry is shifting from prediction markets being a destination users actively visit to becoming an underlying financial capability embedded in other products, similar to how stock trading works through brokerages.
- Liquidity aggregators and routers are emerging to organize fragmented liquidity across multiple prediction markets, addressing price discovery and liquidity depth issues similar to early DeFi development.
- Fortune, a prediction market infrastructure startup, has raised over $4 million and is building a unified liquidity layer by integrating Polymarket and Predict.fun, allowing users to view markets from different sources in one entry point.
Prediction markets are undergoing a structural transformation as major financial platforms shift from directing users to standalone venues like Polymarket and Kalshi toward embedding prediction market capabilities directly into their own products. Binance integrated Predict.fun and launched a Prediction Markets API; Coinbase incorporated prediction markets into its Everything Exchange; Interactive Brokers unified three prediction market venues in a single interface; and Robinhood partnered with Susquehanna to route event contracts through affiliated exchange infrastructure. This mirrors the evolution of stock trading, where users typically do not know or care which market maker or clearing system processes their order.
As prediction markets transition from destination platforms to embedded financial capabilities, a new layer of infrastructure is emerging to address fragmented liquidity. Similar to how DeFi evolved from standalone AMMs to liquidity aggregators and smart execution networks, prediction markets are developing routers and aggregators that organize liquidity across multiple venues. These intermediaries help identify the best prices, deepest liquidity, and probability deviations between markets—problems that become increasingly important as prediction assets become invisible to end users while their underlying infrastructure remains critical.
Fortune exemplifies this emerging infrastructure layer, having raised over $4 million to build unified liquidity solutions for prediction markets. The company recently integrated Polymarket's liquidity alongside Predict.fun into a single entry point called Fortune Markets, allowing users to view markets, trading volumes, liquidity, and implied probabilities from different sources without switching between platforms. This early-stage aggregation model suggests the prediction market industry is entering its second phase, where the truly valuable layer will be the infrastructure organizing fragmented liquidity rather than the individual market venues themselves.
预测市场走向幕后：行业下半场在交易所之外展开
预测市场正在经历结构性转变，主要金融平台从引导用户访问Polymarket和Kalshi等独立平台转向将预测市场功能直接嵌入自身产品。币安集成了Predict.fun并推出预测市场API；Coinbase将预测市场纳入其Everything Exchange；盈透证券在单一界面统一了三个预测市场平台；Robinhood与Susquehanna合作通过关联交易所基础设施路由事件合约。这反映了股票交易的演变过程，用户通常不知道或不关心哪个做市商或清算系统处理其订单。
随着预测市场从目的地平台转变为嵌入式金融能力，新的基础设施层正在出现以解决分散流动性问题。类似于DeFi从独立AMM演进到流动性聚合器和智能执行网络的方式，预测市场正在开发路由器和聚合器来组织多个场所的流动性。这些中介机构帮助识别最佳价格、最深流动性以及市场间的概率偏差——随着预测资产对终端用户变得不可见而其底层基础设施仍然至关重要，这些问题变得越来越重要。
Fortune代表了这一新兴基础设施层，已融资超过400万美元以为预测市场构建统一流动性解决方案。该公司最近将Polymarket的流动性与Predict.fun集成到名为Fortune Markets的单一入口中，允许用户在一个地方查看来自不同来源的市场、交易量、流动性和隐含概率，无需在平台间切换。这种早期聚合模式表明预测市场行业正在进入第二阶段，真正有价值的层将是组织分散流动性的基础设施，而非各个市场场所本身。