Nasdaq 100 (NDX) Up or DownPolymarket historical data and price history

Nasdaq 100 (NDX) Up or Down: a Polymarket indices series with markets recurring daily. Marketlens has captured 36 markets since March 2, 2026, of which 41 resolved, with $361.8K in traded volume. After that, 1 market from July 23, 2026 to July 23, 2026 follow continuous coverage and are the only data after it. After that, 1 market from August 4, 2026 to August 4, 2026 follow continuous coverage and are the only data after it. Every market's order book is stored in full: periodic L2 snapshots plus every individual price change with a millisecond timestamp, alongside trades, candles, and the final resolution outcome.

For the indices archive as a whole, see Polymarket price history.

Data as of 2026-11-02 · Polymarket series NDX Daily Up or Down · slug ndx-daily-up-or-down

Markets
41
Resolved
41
Traded volume
$361.8K
Avg volume / market
$13.4K
Cadence
daily
Coverage from
2026-03-02
Data through
2026-04-23
Category
Indices

After that, 1 market from July 23, 2026 to July 23, 2026 follow continuous coverage and are the only data after it. After that, 1 market from August 4, 2026 to August 4, 2026 follow continuous coverage and are the only data after it.

Resolution outcomes

Up: 23 (57.5%)Down: 17 (42.5%)

Outcomes across 40 resolved markets with a recorded winning outcome. Settlement in the archive is by winning outcome, not by final traded price.

Markets in this series

The most recently resolved of 41 markets.

Nasdaq 100 (NDX) Up or Down on August 4?

closed 2026-08-04 · volume $917 · resolved Up

Nasdaq 100 (NDX) Up or Down on July 23?

closed 2026-07-23 · volume $313 · resolved Down

Nasdaq 100 (NDX) Up or Down on April 24?

closed 2026-04-24 · volume $0

Backtest this series

python
from datetime import datetime, timedelta, timezone from marketlens import MarketLens, Strategy class MyStrategy(Strategy): def on_market_start(self, ctx, market, book): ctx.buy_yes(size=10) client = MarketLens() end = datetime(2026, 4, 24, tzinfo=timezone.utc) result = client.backtest( MyStrategy(), "ndx-daily-up-or-down", after=end - timedelta(days=1), before=end, initial_cash=1_000, ) result.show() # inspect the run in the dashboard

Available datasets

Order book snapshots and deltasfull L2 depth, millisecond price changes
Tradesindividual fills with side and size
CandlesOHLC at multiple resolutions
Bulk Parquet exportsfull markets for offline research
Backtestingtick level replay with realistic fills

Common questions

How many Nasdaq 100 (NDX) Up or Down markets are in the archive?

36 markets from March 2, 2026 through April 23, 2026, of which 41 have resolved. After that, 1 market from July 23, 2026 to July 23, 2026 follow continuous coverage and are the only data after it. After that, 1 market from August 4, 2026 to August 4, 2026 follow continuous coverage and are the only data after it.

What data exists for each Nasdaq 100 (NDX) Up or Down market?

Full L2 order book history (snapshots plus every price change at millisecond resolution), individual trades, OHLC candles, and the resolution outcome. All of it is queryable by the series slug "ndx-daily-up-or-down" through the API and Python SDK, or downloadable as Parquet.

How often do Nasdaq 100 (NDX) Up or Down markets resolve Up?

Of 40 resolved markets with a recorded outcome, 23 resolved Up (57.5%) and 17 resolved Down.

How much does a typical Nasdaq 100 (NDX) Up or Down market trade?

Average traded volume is $13.4K per market, $361.8K across the series.

Can I backtest strategies on Nasdaq 100 (NDX) Up or Down?

Yes. Pass the slug "ndx-daily-up-or-down" to client.backtest() in the Python SDK. Execution mode replays every market's order book tick by tick and fills simulated orders against real historical depth with queue priority, latency, and fee modelling; Alpha mode replays one bar per market for slower signals over long windows.

Related series: S&P 500 (SPX) Up or Down, S&P 500 (SPX) Opens Up or Down, Dow Jones (DJIA) Up or Down, Russell 2000 Daily Up or Down, Hang Seng (HSI) Up or Down, Nikkei 225 (NIK) Up or Down, or all indices series.

Try it

Replay Nasdaq 100 (NDX) Up or Down tick by tick

The free tier includes 2M data rows and every market open in the last 7 days, no card required.

bash
$ pip install marketlens