TOTAL VOLUME:

$134.2b

24H VOL:

$130,522,377

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,438,389,636

404,028

Markets across

30,214

events

MATCHED EVENTS:

2,681

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Harry's House streams up this week?
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Harry's House streams up this week?

Volume:
$0

Target Streams: 35,052,794

 - Kalshi

Target Streams: 35,052,794 - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 20, 2026

Closed: Jul 18, 10:00 AM EST

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

Target Streams: 35,052,794

View
N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

Harry's House's streaming performance is tracked across all platforms worldwide during the July 10-16 tracking week. Luminate Data provides the official stream count data, which may be published up to 48 hours after the tracking period ends.

Kalshi

If Harry's House has above 35,052,794 Worldwide Streams during the July 10 - July 16, tracking week, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the Harry's House streaming release market dashboard tracks real-time odds and historical price movement for whether this entertainment event will stream during the specified window. The interface displays current trader sentiment, 24-hour volume of $0, and cumulative trading activity across all participants. This dashboard lets you monitor how market participants are pricing the likelihood of the outcome as new information emerges. You can view order flow, historical charts, and live bid-ask spreads to understand market depth and conviction around the streaming release.

Prediction market odds reflect aggregated trader conviction and often diverge meaningfully from traditional analyst forecasts or media speculation. While analysts may rely on studio statements, production timelines, or industry reports, this market prices the collective judgment of participants with real financial stakes. Markets tend to update faster than formal forecasts when new information surfaces, and they can reveal consensus views that differ from headline predictions. Comparing the current odds to published analyst expectations can highlight where the market sees different probabilities than the expert consensus.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts 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 contract reflects the market's implied probability, ranging from near zero to nearly 100 cents. Traders submit limit and market orders, and the spread between bid and ask prices tightens as volume and participation increase. As new information about the streaming release emerges, traders adjust their positions, moving prices to reflect updated expectations about the outcome.

This market resolves around Jul 20, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution hinges on whether the streaming release occurs within the specified timeframe. Once the outcome is determined and verified, all positions settle according to the final result. Traders holding the correct side receive their payout, while those on the incorrect side forfeit their stake. The exact moment of resolution depends on when the event status becomes publicly confirmed.

Several catalysts could shift odds significantly before resolution. Official announcements from streaming platforms or production studios about release dates would have immediate impact. Changes to production schedules, delays, or cancellations would trigger sharp repricing. Media reports, industry news, or insider leaks about timing could move the market ahead of formal confirmation. Seasonal entertainment calendars and competitive release schedules may also influence trader positioning. As the resolution date approaches, any credible reporting about whether the event will stream as expected could cause rapid position adjustments and volatility.