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Franco Roncadelli wins priced at 18% on Kalshi, on $1.8M traded PredictionBubbles ranks the tennis contract first by volume among long-dated markets, resolving in about 13 days.

A Kalshi tennis contract on Franco Roncadelli winning was priced at 18%, with $1.8M traded, according to PredictionBubbles. The service ranked the contract first by volume among its long-dated markets, with resolution expected in about 13 days.

Trading activity leads the story

The ranking measures turnover rather than a change in the likelihood of a Roncadelli win. PredictionBubbles orders its most-active listings by 24-hour traded volume, separately from its rankings of probability movements.

That distinction limits what the figures establish. The 18% price is a market-implied probability at the snapshot, while the volume ranking indicates trading activity. The supplied material does not give Roncadelli’s earlier price or a 24-hour probability change, so it does not establish whether traders have become more or less confident.

Reading the snapshot

According to predictionbubbles.net, the underlying venue data were collected on 16 Oct 2026, 22:13 UTC, and the service refreshes every 15 minutes. Its coverage draws on prices from Polymarket and Kalshi.

The page describes a universe of 2,014 markets with lifespans longer than 14 days, excluding same-week fixtures. That lifespan criterion is distinct from time remaining: the Roncadelli contract is reported as resolving in about 13 days. The supplied material does not identify the opponent, tournament or detailed settlement conditions.

What it means for prediction markets

  • Volume is not direction: First place by turnover does not establish a rise in Roncadelli’s implied chance of winning.
  • The price is a snapshot: The 18% reading should not be presented as a trend without an earlier comparable price.
  • Resolution details remain incomplete: The approximate 13-day horizon is provided, but the material does not specify the precise event or settlement terms.
TennisPredictionMarketsKalshi

Sources & attribution

  1. [1]Predictionbubbles (predictionbubbles.net)https://predictionbubbles.net/markets/movers/

Date & time:

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