Avg. # of ships transiting Strait of HormuzPolymarket historical data and price history

Avg. # of ships transiting Strait of Hormuz: a Polymarket commodities series with markets recurring monthly. Marketlens has captured 12 markets since August 26, 2026, of which 5 resolved, with $212.5K in traded volume. Every market's order book is captured as full depth L2 snapshots at regular intervals, alongside trades, candles, and the final resolution outcome.

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

Data as of 2026-10-05 · Polymarket series Hormuz Transits (neg) · slug hormuz-transits-neg

Markets
12
Resolved
5
Traded volume
$212.5K
Avg volume / market
$17.7K
Cadence
monthly
Coverage from
2026-08-26
Data through
now
Category
Commodities

Resolution outcomes

No: 4 (80.0%)Yes: 1 (20.0%)

Outcomes across 5 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 12 markets.

Will there be between 60 and 80 average daily transits of the Strait of Hormuz on August 31?

closed 2026-09-10 · volume $11.3K · resolved No

Will there be between 20 and 40 average daily transits of the Strait of Hormuz on August 31?

closed 2026-09-10 · volume $14.6K · resolved No

Will there be between 0 and 20 average daily transits of the Strait of Hormuz on August 31?

closed 2026-09-10 · volume $61.2K · resolved Yes

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(), "hormuz-transits-neg", 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 Avg. # of ships transiting Strait of Hormuz markets are in the archive?

12 markets from August 26, 2026 through now, of which 5 have resolved and 7 are active.

What data exists for each Avg. # of ships transiting Strait of Hormuz market?

Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome. All of it is queryable by the series slug "hormuz-transits-neg" through the API and Python SDK, or downloadable as Parquet.

How much does a typical Avg. # of ships transiting Strait of Hormuz market trade?

Average traded volume is $17.7K per market, $212.5K across the series.

Can I backtest strategies on Avg. # of ships transiting Strait of Hormuz?

Yes. Pass the slug "hormuz-transits-neg" 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: Crude Oil (CL) hit, Strait of Hormuz traffic returns to normal, What will Gold (GC) hit, WTI Crude Oil (WTI) Up or Down, What will WTI Crude Oil (WTI) hit (Weekly), Gold (XAUUSD) Up or Down, or all commodities series.

Try it

Pull Avg. # of ships transiting Strait of Hormuz 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