TOTAL VOLUME:
$131.1b
24H VOL:
$95,234,810
24H TRANSACTIONS:
2,313,328,591
OPEN INTEREST:
$1,363,939,422
375,171
Markets across
30,639
events
MATCHED EVENTS:
2,813
PLATFORM COVERAGE:
5
Polymarket:
40%
VS.
Kalshi:
60%
Will Nasdaq 100 (NDX) close at $23,500-$25,000 in December?
- Polymarket
Will Nasdaq 100 (NDX) close at $23,500-$25,000 in December? - Polymarket
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News
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Neutral
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Vol.
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These markets collectively assess where the Nasdaq 100 (NDX) index will close on the final trading day of December 2026 at 4pm EST. Polymarket offers 10 specific price-range brackets spanning <$23,500 to >$36,000, while Kalshi provides 30 granular Yes/No conditions covering nearly identical ranges in $500 increments. Both platforms resolve based on the official closing price published for that trading session.
Resolution is determined by which price range the NASDAQ-100 index value falls into on December 31, 2026 at 4:00 PM EST. The market divides all possible closing prices into consecutive 500-point bands, with the lowest band capturing values below 19,000 and the highest band capturing values above 33,000. Exactly one outcome resolves to Yes based on where the index closes, with the market expiring at the sooner of the first data release or one week after December 31, 2026.
On Kalshi, the Nasdaq-100 close price end of 2026 is priced through binary outcome contracts tied to specific price levels. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Traders buy or sell shares representing whether the index will close above or below key thresholds—for example, whether NDX will remain below 19,000 or break higher by December 31, 2026. Each contract trades between 0 and 100 cents, with the implied probability visible in real time. The top outcome currently shows 95.0% implied probability, reflecting trader conviction on the most actively traded price boundary.
Major catalysts for the Nasdaq-100 through 2026 include Federal Reserve policy shifts, inflation trends, and earnings revisions for mega-cap tech firms. Geopolitical tensions, trade policy changes, and recession risk could trigger sharp repricing. Artificial intelligence adoption rates and regulatory developments affecting Big Tech will influence sentiment. Quarterly earnings surprises from index heavyweights like Apple, Microsoft, and Nvidia directly impact the index. Macro data—jobs reports, GDP growth, bond yields—shape the broader risk-on or risk-off environment. Unexpected M&A activity or leadership changes at major constituents can also drive meaningful moves toward year-end.