Ark Invest adds Kalshi prediction-market signals

Ark Invest is incorporating Kalshi prediction-market data into its research process to add event-driven probability signals that flag odds for macro releases, policy outcomes and company milestones in real time.

The firm outlined the collaboration on April 17 in a series of social posts and first announced the partnership on March 26. The Kalshi feed gives a live read of how market participants assign odds to scenarios such as nonfarm productivity and the U.S. deficit-to-GDP ratio.

Researchers at Ark plan to compare Kalshi-implied probabilities with internal models and valuations and to use the signals to test internal forecasts. The firm described the markets as a way to measure crowd expectations and to stress test models, framing the data as a supplement to fundamental analysis rather than a replacement.

Ark said it will evaluate the partnership across three areas: market-based research signals, forward-looking insight into business outcomes, and event-specific risk management. The firm indicated it may request new Kalshi contracts tied to business metrics and industry developments to capture outcomes that can move individual stocks.

Cathie Wood, Ark’s founder, CEO and CIO, commented: “We believe these signals can enhance our research process and provide valuable context around key drivers across disruptive sectors, helping investors better quantify uncertainty and make more informed decisions.”

Ark pointed to innovation-linked stocks as an example where event-based probability signals may be useful; those stocks often react to narrow catalysts such as product approvals, regulatory rulings and adoption milestones rather than broad market trends. The firm said tracking shifts in probabilities around specific events can help analysts focus on outcomes that warrant closer attention before prices fully reflect them.

The Kalshi input is intended to augment existing research workflows by providing an additional data stream to test assumptions and timing, not to serve as a standalone trading signal.