Hourly Briefing ·
2 stories in this edition: David Lisnard win the 2027 French presidential election priced at 15.4% on Polymarket, up 1.8 points, on $5.6M traded · Sacramento wins priced at 1.0% on Kalshi, down 11.0 points, on $4.7M traded
No significant new platform headline in the last 30 minutes; news search recirculated only items already used today or held out (the NBA preferred-partner deal and CFTC…
PredictionBubbles' sports board, unchanged on its Oct. 28, 01:41 UTC read, lists the Sacramento win contract among its traded sports markets, in a sports markets…
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David Lisnard’s contract to win the 2027 French presidential election was priced at 15.4% on Polymarket, up 1.8 percentage points, with $5.6M traded, according to the supplied market headline published Oct 27, 2026 at 10:09 PM ET.
The move indicates a higher market-implied chance of victory, but the supplied material does not identify a Lisnard-specific development behind the repricing. It provides no new polling, campaign announcement or other election reporting that would establish a catalyst.
According to predictionbubbles.net, its politics dashboard displays market-implied probabilities, changes over the last 24 hours and total traded volume. On that reporting framework, the 1.8-point increase measures a shift in probability, rather than a percentage return.
The $5.6M figure represents cumulative trading activity, not money newly committed during the price move. PredictionBubbles also distinguishes its volume rankings from its rankings of probability changes: a heavily traded contract is not necessarily one of the fastest-moving markets.
PredictionBubbles says it refreshes its data every 15 minutes, while trading on the underlying venues continues between updates. The reported 15.4% should therefore be read as a snapshot, rather than a price guaranteed to remain available.
The outlet describes its dashboard as an aggregation of market prices, not an independent forecast. The supplied source page does not include Lisnard’s individual contract history or resolution terms, limiting what can be concluded beyond the headline figures.
Sacramento’s win contract on Kalshi was priced at a 1.0% market-implied probability, down 11.0 percentage points, with $4.7M traded, according to the supplied headline. PredictionBubbles’ sports board was unchanged at its Oct. 28, 01:41 UTC reading, the accompanying summary says.
PredictionBubbles defines its probability-change column as the movement over the previous 24 hours. The Sacramento figures therefore describe a sharp decline in the contract’s implied chance, rather than an 11.0% relative fall in its price.
The supplied material does not identify Sacramento’s opponent, the specific sporting event or the contract’s resolution deadline. It also offers no explanation for the repricing. Although PredictionBubbles says sports prices respond to lineups, injuries, form and live scores, none of those factors is established as the cause here.
According to PredictionBubbles, its sports page tracks 540 open markets: 192 on Kalshi and 348 on Polymarket. Its embedded display shows the 300 largest by traded volume, while the full board includes all 540. The site refreshes its published data every 15 minutes, even though trading on the underlying venues is continuous.
The board distinguishes activity from price movement: its volume rankings use total traded volume, while its movers list ranks absolute probability changes over the last 24 hours. At the latest refresh described in the source, the most-traded sports contract was whether Shakhtar Donetsk would win the 2026-27 UEFA Champions League Championship, with $36.4M traded on Polymarket.