TOTAL VOLUME:

$134.2b

24H VOL:

$134,145,987

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,441,166,947

406,422

Markets across

30,383

events

MATCHED EVENTS:

2,688

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Entertainment
Short n' Sweet streams up this week?
kalshi

Short n' Sweet streams up this week?

Volume:
$0

Target Streams: 69,432,974

 - Kalshi

Target Streams: 69,432,974 - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 4, 2026

Closed: Jul 4, 2:32 AM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Target Streams: 69,432,974

View
N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 1

Description

This event tracks worldwide streaming performance for the musical project Short n' Sweet during the week of June 26 - July 02. Resolution depends on whether total streams exceed a specified threshold, with data sourced from Luminate Data and published within approximately 48 hours after the tracking week ends.

Kalshi

If Short n' Sweet has above 69,432,974 Worldwide Streams during the June 26 - July 02, tracking week, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the Short n' Sweet streaming schedule market dashboard tracks real-time odds and historical price movements tied to whether new episodes will air during the specified week. The interface displays current implied probability, 24-hour volume activity via $0, and cumulative trading volume of $0. This market lets traders monitor shifting sentiment around the artist's release calendar and streaming platform announcements. Price history charts help participants identify momentum shifts as new information emerges about broadcast timing or scheduling changes.

Prediction market odds reflect real-time consensus from traders actively wagering capital on outcomes, whereas analyst forecasts typically rely on historical patterns, public statements, and industry expertise. This market aggregates dispersed information from participants with financial incentives to be accurate, often capturing breaking news or schedule shifts faster than traditional media analysis. When analysts and traders diverge significantly, it often signals either new information entering the market or differing interpretations of existing data. Comparing the two approaches provides a richer picture of likelihood than either source alone.

On Kalshi, this market is priced through continuous order-book matching, where buyers and sellers set bids and asks based on their conviction about the streaming schedule outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform converts these prices into implied probabilities displayed as percentages, allowing traders to quickly assess whether they view the odds as attractive. As new information surfaces—such as official announcements or schedule updates—traders adjust positions, moving the price in real time. Liquidity and trading volume influence how quickly prices respond to news.

This market resolves around Jul 6, 2026, with the outcome confirmed once the streaming schedule is verifiable from credible public reporting. The resolution hinges on whether new episodes air during the specified week, as documented by the platform or official sources. Traders should monitor announcements from the streaming service and the artist's official channels leading up to the deadline. Once the event window closes, the market settles based on what actually occurred during that period.

Official announcements from streaming platforms or the artist's social media accounts represent the strongest catalysts for price movement in this market. Schedule changes, surprise episode drops, or postponements would immediately shift trader expectations and implied odds. Industry news about production delays or platform strategy shifts could also influence positioning. Media coverage of the release timeline and fan speculation on social platforms may drive retail trading activity. Any credible reporting about confirmed or cancelled broadcasts during the target week would likely trigger sharp repricing as resolution approaches.