Prediction markets are entering a new phase, where the battle is no longer just about listing questions but about making sense of the prices. A dashboard called PredictionBubbles is the latest example, pulling Polymarket and Kalshi onto one screen to show probability, price movement, and volume.
A single screen for prediction markets
PredictionBubbles lets traders size bubbles by open interest, 24-hour volume, or activity ratio, and filter by category, platform, expiry, probability, and open interest. It draws on public APIs from Polymarket, which offers market-discovery and analytics endpoints, order-book and pricing data, and near-real-time WebSocket feeds. The tool is part of a broader push to turn scattered event contracts into something a regular trader can actually navigate.
Institutional money moves in
Kalshi, one of the two big platforms, has been courting bigger players. In May, the company said institutional trading volume had increased 800% in six months—a figure it reported itself. In July, Kalshi released Kalshi Pro in beta, aimed at users managing many markets and resting orders. And in April, ProCap Financial said Kalshi Research would feed real-time prediction market figures into ProCap Insights, described as Kalshi's first supply agreement with a financial research provider serving paying subscribers. The platform also announced a surveillance advisory committee and a technology partnership with Solidus Labs back in February, though the effectiveness of those measures hasn't been independently established.
The limits of a probability
For all the buzz, a price that looks like a 63% probability still reflects a particular contract, trading window, and settlement method—not an unconditional forecast. Two unreviewed working papers underline the caveats. One, from July, analyzed about 23 million Kalshi NBA, MLB, and NHL moneyline trades and found calibration strongest in the middle of contracts, deteriorating in the final 10 minutes. Another, from June, looked at Polymarket's 5-minute Bitcoin contracts and found a spike in Binance spot flow during the final 10 seconds, with a reversal after the close. The footprint was weaker in 15-minute contracts, and no comparable reversal showed up. Binance served as a proxy for Chainlink settlement, so any causal interpretation is just an inference.
From listing to organizing
Prediction markets' competition is shifting from listing questions to organizing prices, distributing them, and helping users understand what they mean. PredictionBubbles and Kalshi Pro are early answers to that shift. The next test is whether these tools can hold up as the markets get more crowded and the data gets messier.
