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Users can compare like-for-like contracts and multi-leg positions across different exchanges, enhancing their insights and decision-making. Another feature of Prediction.com is its proprietary cross-venue engine, enabling users to compare multi-leg contract combinations.
In a statement, Genuis Sports said Prediction.com sought to address the “fragmentation” caused by users visiting platforms separately to access pricing information.
“As the category continues to grow, robust integrity safeguards are not simply optional; they are foundational,” Sean Conroy, EVP of rights and partnerships at Genius Sports, said of the launch.
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After play, some looked to banks or regulatory bodies for oversight on total spend across platforms.
Within this shared model, there was a clear preference for personalised interventions over generic ones.
Tailored, behaviour-triggered messages were seen as more effective than generic warnings, but many participants simultaneously expressed mistrust towards operators collecting behavioural data.
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Sahil Patel, founder of competitive intelligence provider Aldrin AI, said those relationships help explain Kalshi’s position.
“A lot of market makers want to go where there’s liquidity,” he said, adding that platform stability and Kalshi’s investment in the financial side of its market-maker relationships were also important. “I think Kalshi is a freight train that’s just kind of running away with it.”
Aldrin monitors product changes, advertising, social media activity, app-store rankings and trading volume across prediction market operators. Patel said the objective is to connect those indicators and show how a product launch supported by advertising affects volume and market share.