France's 2027 presidential election represents a pivotal moment in European politics, with multiple prominent figures competing to shape the nation's future direction. This event aggregator brings together prediction markets on the leading candidates—François Bayrou, Mathilde Panot, Olivier Faure, François Asselineau, and Michel Barnier—providing real-time probability estimates for each contender's chances of winning. These markets are grouped together because they measure a single, well-defined outcome: which candidate will secure the presidency in 2027. While other elections and policy outcomes may move independently, these five markets share a fundamental constraint—only one candidate can win—making them naturally complementary for understanding the broader political landscape. By comparing the odds across all candidates, you can see which figures the market views as frontrunners, how momentum shifts as new information emerges, and where perceived vulnerabilities or opportunities exist. When reading the prices below, remember that each market represents the collective assessment of thousands of traders worldwide. A high probability (e.g., 65%) suggests the market considers that candidate a strong favorite, while lower probabilities (e.g., 15%) indicate longer odds. These prices update continuously as new polling data, campaign developments, and political events reach traders. The sum of all candidate probabilities won't equal exactly 100%—that spread reflects transaction costs and uncertainty among traders. Pay attention not just to the current prices, but to how they've moved over time. Sudden shifts in a candidate's odds might signal new information about campaign strength, coalition-building success, or changing voter preferences. By monitoring these prediction markets alongside traditional polling and political analysis, you gain an additional lens on how the election's outcome is likely to unfold.