Hyperliquid Up or Down (15 Minute)Polymarket historical data and price history

Hyperliquid Up or Down (15 Minute): a Polymarket crypto series with markets recurring every 15 minutes. Marketlens has captured 21,105 markets since March 13, 2026, of which 21,116 resolved, with $5.0M in traded volume. No new markets were collected from July 24, 2026 to August 2, 2026, so windows inside that gap return nothing. Order books are stored at full depth, with every individual price change captured at millisecond resolution on the most actively traded markets, alongside trades, candles, and the final resolution outcome.

For the crypto archive as a whole, see Polymarket 5 minute market data.

Data as of 2026-11-02 · Polymarket series HYPE Up or Down 15m · slug hype-up-or-down-15m

Markets
21,119
Resolved
21,116
Traded volume
$5.0M
Avg volume / market
$274
Cadence
15 minutes
Coverage from
2026-03-13
Data through
now
Category
Crypto

No new markets were collected from July 24, 2026 to August 2, 2026, so windows inside that gap return nothing.

Resolution outcomes

Up: 10,642 (50.4%)Down: 10,473 (49.6%)

Outcomes across 21,115 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 21,119 markets.

Hyperliquid Up or Down - November 1, 10:45PM-11:00PM ET

closed 2026-11-02 · resolved Up

Hyperliquid Up or Down - November 1, 10:30PM-10:45PM ET

closed 2026-11-02 · resolved Up

Hyperliquid Up or Down - November 1, 10:15PM-10:30PM ET

closed 2026-11-02 · resolved Up

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.now(timezone.utc) - timedelta(days=1) result = client.backtest( MyStrategy(), "hype-up-or-down-15m", after=end - timedelta(minutes=15), 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 Hyperliquid Up or Down (15 Minute) markets are in the archive?

21,105 markets from March 13, 2026 through now, of which 21,116 have resolved and 3 are active. No new markets were collected from July 24, 2026 to August 2, 2026, so windows inside that gap return nothing.

What data exists for each Hyperliquid Up or Down (15 Minute) market?

Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome, with the full price change stream at millisecond resolution on the most actively traded markets in the series. All of it is queryable by the series slug "hype-up-or-down-15m" through the API and Python SDK, or downloadable as Parquet.

How often do Hyperliquid Up or Down (15 Minute) markets resolve Up?

Of 21,115 resolved markets with a recorded outcome, 10,642 resolved Up (50.4%) and 10,473 resolved Down.

How much does a typical Hyperliquid Up or Down (15 Minute) market trade?

Average traded volume is $274 per market, $5.0M across the series.

Can I backtest strategies on Hyperliquid Up or Down (15 Minute)?

Yes. Pass the slug "hype-up-or-down-15m" to client.backtest() in the Python SDK. Execution mode replays order books against real historical depth; Alpha mode, one bar per market, covers every market in the series and suits its longer horizons.

Related series: Hyperliquid Up or Down (5 Minute), HYPE Up or Down (Daily), HYPE Up or Down (Hourly), Bitcoin Up or Down (5 Minute), Bitcoin Up or Down (15 Minute), Bitcoin above (Weekly), or all crypto series.

Try it

Pull Hyperliquid Up or Down (15 Minute) books in one call

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

bash
$ pip install marketlens