TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

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: 75,567,322

 - Kalshi

Target Streams: 75,567,322 - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 20, 2026

Closed: Jun 20, 2:22 AM EST

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

Target Streams: 75,567,322

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 whether Short n' Sweet's music streaming performance exceeds a specific threshold during a designated week. Streaming data is collected from global platforms and verified by Luminate Data, with results typically published within 48 hours of the tracking period's conclusion.

Kalshi

If Short n' Sweet has above 75,567,322 Worldwide Streams during the June 12 - June 18, 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 for this prediction market. The interface displays current trader sentiment around whether new episodes will stream during the specified week, along with 24-hour volume and order-book depth. This market aggregates live trading activity on the platform, allowing participants to monitor how odds shift as new information emerges. The dashboard provides a transparent view of collective forecasting on the timing of upcoming content releases, helping traders assess market conviction and liquidity at a glance.

Prediction market odds often diverge from traditional analyst forecasts because they reflect real-money incentives and continuous price discovery. While entertainment analysts may rely on studio statements or historical release patterns, this market aggregates the beliefs of traders who profit or lose based on actual outcomes. Prediction markets typically incorporate breaking news and social signals faster than formal forecasts, making them responsive to last-minute scheduling changes. However, both approaches have merit: analysts bring domain expertise, while markets reveal aggregated crowd wisdom. Comparing the two can highlight where consensus breaks down and where contrarian opportunities may exist.

On Kalshi, this market is priced through continuous order-book matching, where traders buy and sell shares representing yes or no outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the implied probability that the event will occur, with higher prices indicating stronger trader confidence. Kalshi uses a binary contract structure, so prices range from near zero to near one dollar, making odds intuitive and easy to compare. As new information surfaces or trader sentiment shifts, the order book updates in real time, and prices adjust accordingly. This mechanism ensures that the market price always represents the marginal trader's assessment of likelihood.

This market resolves around Jun 22, 2026, at which point the outcome will be confirmed against credible public sources. The resolution hinges on whether the specified streaming event occurs within the defined timeframe. Once the event window closes, verified reporting from official channels or major entertainment outlets will determine whether the yes or no outcome is correct. Traders should monitor official announcements and credible entertainment news in the days leading up to resolution to stay informed. Early resolution is possible if the outcome becomes certain before the deadline.

Official announcements from the content creator or streaming platform represent the most direct catalyst for price movement. Social media updates, industry reports, or leaks about scheduling changes can shift trader expectations rapidly. Broader platform outages or production delays affecting multiple releases may also influence odds indirectly. Historical release patterns and past scheduling behavior provide baseline signals that traders monitor for deviations. As the resolution date approaches, the absence of confirmation can itself drive prices higher or lower, reflecting growing certainty or uncertainty. Real-time engagement metrics and fan sentiment on social platforms may also serve as early indicators of imminent announcements.