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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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Its failure also leaves unresolved disputes over prediction markets and state and tribal gaming authorities, outside a comprehensive congressional framework. Those issues took on new significance during Senate floor debate over the bill, as concerns about federal commodities oversight extended to markets typically regulated at the state or tribal level.
The latest filing is an early step in filling some of that regulatory gap for the CFTC. The agency can issue regulations under its current statutory authority, but those regulations would not necessarily be as permanent as legislation passed by Congress.
For now, the important news is that the CFTC has officially started the administrative process. Only once the rulemaking progresses and the underlying proposal is available for public review will the extent of its eventual crypto framework become clear.
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An ACMA spokesperson reiterated: “BetStop is an important consumer protection measure, but it only works if wagering companies follow the rules.”
As of January 2027, BetStop will be further promoted as part of a reform package to gambling laws in Australia. Following a statutory review, the government committed to improving system usability and boosting promotional efforts. It is also committed to funding ACMA marketing to support BetStop and recovering operational costs from industry participants.
Additionally, the register will receive AU$28.7 million over four years, with AU$3.2 million ongoing annually beyond that to improve data-matching systems.