BNB Up or Down (Hourly)Polymarket historical data and price history

BNB Up or Down (Hourly): a Polymarket crypto series with markets recurring hourly. Marketlens has captured 5,382 markets since March 8, 2026, of which 5,388 resolved, with $2.3M in traded volume. No new markets were collected from July 25, 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 BNB Up or Down Hourly · slug bnb-up-or-down-hourly

Markets
5,390
Resolved
5,388
Traded volume
$2.3M
Avg volume / market
$461
Cadence
hourly
Coverage from
2026-03-08
Data through
now
Category
Crypto

No new markets were collected from July 25, 2026 to August 2, 2026, so windows inside that gap return nothing.

Resolution outcomes

Up: 2,768 (51.4%)Down: 2,619 (48.6%)

Outcomes across 5,387 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 5,390 markets.

BNB Up or Down - November 1, 10PM ET

closed 2026-11-02 · volume $125 · resolved Up

BNB Up or Down - November 1, 9PM ET

closed 2026-11-02 · volume $57 · resolved Down

BNB Up or Down - November 1, 8PM ET

closed 2026-11-02 · volume $246 · 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(), "bnb-up-or-down-hourly", after=end - timedelta(hours=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 BNB Up or Down (Hourly) markets are in the archive?

5,382 markets from March 8, 2026 through now, of which 5,388 have resolved and 2 are active. No new markets were collected from July 25, 2026 to August 2, 2026, so windows inside that gap return nothing.

What data exists for each BNB Up or Down (Hourly) 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 "bnb-up-or-down-hourly" through the API and Python SDK, or downloadable as Parquet.

How often do BNB Up or Down (Hourly) markets resolve Up?

Of 5,387 resolved markets with a recorded outcome, 2,768 resolved Up (51.4%) and 2,619 resolved Down.

How much does a typical BNB Up or Down (Hourly) market trade?

Average traded volume is $461 per market, $2.3M across the series.

Can I backtest strategies on BNB Up or Down (Hourly)?

Yes. Pass the slug "bnb-up-or-down-hourly" 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: BNB Up or Down (15 Minute), BNB Up or Down (5 Minute), BNB Up or Down (Daily), Bitcoin Up or Down (5 Minute), Bitcoin Up or Down (15 Minute), Bitcoin above (Weekly), or all crypto series.

Try it

Pull BNB Up or Down (Hourly) 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