Public is bringing automated AI trading into prediction markets, connecting event probabilities with the rest of an investor’s portfolio.
The brokerage said Thursday that its AI Agents can monitor prediction markets, trade event contracts and trigger actions in other assets. Public has partnered with Kalshi to provide the prediction markets and execute event-contract trades.
“Public is built for investors who take an active hand in constructing their portfolios,” Public co-CEO and co-founder Leif Abraham said. “Members can take a position on the event directly, or use the market’s data as the signal that triggers a trade anywhere else in their portfolio.”
The product is aimed at events with a direct connection to financial markets. Those include Federal Reserve decisions, commodity moves, corporate developments, crypto prices and economic releases.
That approach separates Public from platforms built mainly around standalone event trading. A user could watch a market probability, then trigger stock, bond or options activity when a set threshold is reached.
Public’s agents can also send alerts without placing a trade. The company says the systems execute plans created by users rather than making independent investment recommendations.
The launch comes as the US Commodity Futures Trading Commission (CFTC) begins examining the rise of agentic finance. At its inaugural Innovation Advisory Committee meeting in August, the agency discussed autonomous agents capable of executing financial transactions and managing portfolios. The CFTC will follow with an Oct. 28 Frontier Forum focused on artificial intelligence and agentic finance.
AI agents move deeper into prediction market trading
The launch arrives as AI agents move deeper into retail trading. The AI trading platform Elastics has built a trading terminal around Kalshi and Polymarket. Traders can describe a thesis, turn it into an agent and test its behavior before putting it to work.
Once deployed, the agent can keep watching markets and execute trades as conditions change. Elastics also combines research, portfolio management and trading across both venues in one interface.
Agentic prediction-market platform Forkast took a similar route with ATLAS, launched in July. Its autonomous agents can monitor prediction markets around the clock and trade according to parameters set by users.
Prediction.com approaches AI from the data side. The Genius Sports-owned platform offers Prediction Hunt, which lets AI assistants pull live prices, order books, arbitrage opportunities and trading activity across several prediction markets. However, it does not function as the broker executing those trades.
The difference becomes more meaningful for active traders. Someone following dozens of contracts can hand repetitive monitoring to software instead of checking each market manually. A casual trader may get less from that automation, although alerts, market comparisons and automated research can still cut down the work involved.
A more robust tool in the trading arsenal
For Public, the broader difference is linking those event probabilities directly to traditional investments.
Active investors have more recurring signals and portfolio positions for an agent to monitor, giving automation more manual work to replace. Public’s examples include rate expectations, corporate results and regulatory events.
The feature is not limited to heavy traders, however. Casual users can create alerts or simple rules without automating frequent transactions. Public also says agents can lose money and do not predict outcomes independently.
The rollout comes during rapid growth in prediction-market activity. Combined monthly global volume on Kalshi and Polymarket rose from $26bn in May to $53bn in July, according to Pew Research Center analysis of The Block data.
That growth is giving investors a larger stream of prediction-market signals to monitor. Public’s new system puts those signals inside the same framework used to manage other investments.