US x Iran diplomatic meeting historical data
US x Iran diplomatic meeting is a Polymarket politics series with markets recurring monthly. Marketlens has captured 6 markets since July 13, 2026, of which 2 resolved, with $3.5M in traded volume. 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.
Data as of 2026-09-11 · series slug us-x-iran-diplomatic-meeting
Markets in this series
The most recently resolved of 6 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "us-x-iran-diplomatic-meeting",
after="2026-08-24", before="2026-09-01", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many US x Iran diplomatic meeting markets are in the archive?
6 markets from July 13, 2026 through August 31, 2026, of which 2 have resolved and 4 are active.
What data exists for each US x Iran diplomatic meeting 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 "us-x-iran-diplomatic-meeting" through the API and Python SDK, or downloadable as Parquet.
How much does a typical US x Iran diplomatic meeting market trade?
Average traded volume is $588.6K per market, $3.5M across the series.
Can I backtest strategies on US x Iran diplomatic meeting?
Yes. Pass the slug "us-x-iran-diplomatic-meeting" 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: Putin out as President, Trump out, Ukraine x Russia Peace Deal, Elon Musk Tweet Counts, trump monthly meeting, Ukraine cede territory, or all politics series.
Try it
Pull US x Iran diplomatic meeting books in one call
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens