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

BNB Up or Down (Daily): a Polymarket crypto series with markets recurring daily. Marketlens has captured 229 markets since March 8, 2026, of which 228 resolved, with $356.0K in traded volume. No new markets were collected from July 24, 2026 to August 2, 2026, so windows inside that gap return nothing. 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 crypto archive as a whole, see Polymarket 5 minute market data.

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

Markets
230
Resolved
228
Traded volume
$356.0K
Avg volume / market
$1.7K
Cadence
daily
Coverage from
2026-03-08
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: 125 (54.8%)Down: 103 (45.2%)

Outcomes across 228 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 230 markets.

BNB Up or Down on November 1?

closed 2026-11-01 · volume $238 · resolved Up

BNB Up or Down on October 31?

closed 2026-10-31 · volume $974 · resolved Up

BNB Up or Down on October 30?

closed 2026-10-30 · volume $425 · resolved Down

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-daily", 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 (Daily) markets are in the archive?

229 markets from March 8, 2026 through now, of which 228 have resolved and 2 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 BNB Up or Down (Daily) 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 "bnb-up-or-down-daily" through the API and Python SDK, or downloadable as Parquet.

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

Of 228 resolved markets with a recorded outcome, 125 resolved Up (54.8%) and 103 resolved Down.

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

Average traded volume is $1.7K per market, $356.0K across the series.

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

Yes. Pass the slug "bnb-up-or-down-daily" 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: BNB Up or Down (15 Minute), BNB Up or Down (5 Minute), BNB 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

Replay BNB Up or Down (Daily) 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