Data6h ago

Kalshi crypto price order book data goes live on Mostly Right

Why this matters?

Granular order-book data for Kalshi's crypto markets gives quantitative traders the spread and depth signals they previously lacked for event-contract microstructure. Platforms like Robinhood and Coinbase are bringing retail brokerage scale that will compress pricing across prediction markets.

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Data Top Stories

Bernstein lifts prediction market forecast tenfold to $10 trillion by 2035

Bernstein's tenfold revision forces every sell-side desk to recalibrate revenue models for prediction-market operators. The $10 trillion anchor now sets the valuation ceiling that equity analysts will apply to Robinhood and Coinbase as their event-contract volume scales. If 2025 volume lands near Chhugani's $50 billion estimate, the compound annual growth rate implied to 2035 is steep enough to justify premium multiples well beyond current trading multiples for brokerages. Robinhood in particular carries the spotlight: Bernstein ties its forecast to the platform's full-stack integration and Q2 prediction-market revenue lead over crypto and equities. Traders betting on operator stocks now face a new consensus baseline. The first bank to break from Bernstein's number and publish a lower target will spark a pricing dispute that moves the stocks directly.

Study finds Kalshi weather markets beat public meteorologists

Institutional adoption of prediction-market data depends on proving it beats professional benchmarks. SocGen already uses Kalshi and Polymarket prices in its capital markets models. This weather paper gives bank quants a second validated use case beyond politics. Better forecasting means lower hedging costs for agriculture, energy, and insurance desks that currently license meteorological services. Those buyers are Kalshi's real target, not retail weather traders. Kalshi must now convert paper results into recurring data licenses before competitors replicate the finding. The faster it moves, the more it shifts from a trading venue to a data infrastructure layer that institutions pay for regardless of whether anyone places a bet.

Polymarket bettors beat Wall Street analysts 78.5% to 43.7% on earnings calls

The accuracy gap turns Polymarket into a credible alternative dataset for traders who build positions around earnings releases. Equity desks now face a direct competitor that costs nothing to read and updates in real time. Analysts at banks and independent research shops must show why their paid consensus still carries premium value, or watch allocation shift toward free crowd signals. For Polymarket, the headline is user acquisition fuel: earnings seasons recur quarterly, creating predictable traffic spikes. The platform's next task is widening the single-stock earnings menu fast enough to retain traders who arrive for beats and misses. A sustained accuracy lead over two or three more quarters would force sell-side incumbents to respond with their own prediction-market arms or revised pricing, not dismissive notes.

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Frequently Asked Questions

How accurate are prediction markets as forecasts?

Liquid markets calibrate well — implied probabilities track actual outcomes closely on elections, macro data, and major sports. Thin or late-resolving contracts calibrate worse. Multiple academic studies have found prediction markets at least match and often outperform polling on election forecasting.

Are prediction markets better than polls?

On most US presidential elections since 1988, prediction-market prices have tracked the final outcome more closely than poll averages, especially in the final weeks. Polls remain stronger on demographic breakdowns and turnout questions; prediction markets aggregate everyone’s information into one price.

Where can I get prediction market data?

Kalshi, Polymarket, and ForecastEx all publish public APIs with live pricing and volume. Third-party aggregators like Adjacent News and Manifold collect cross-venue. Settlement data is published end-of-day through standard exchange channels.

What is Polymarket’s daily trading volume?

Polymarket runs the highest peak volumes on individual political events, sometimes clearing hundreds of millions of dollars on a single contract during US election cycles. Daily volume varies widely; the Data section tracks weekly volume reports as they’re published.

What is calibration in prediction markets?

Calibration measures how well market-implied probabilities match actual outcome frequencies. A perfectly calibrated market has 70-cent contracts resolving "yes" exactly 70% of the time. Most academic studies find liquid prediction markets are within a few percentage points of perfect calibration.

Are prediction markets used as macro indicators?

Yes. ICE has called Polymarket data a key macro indicator, and macro research desks at major banks now reference Kalshi prices on Fed decisions, jobs prints, and CPI alongside survey data.