(XAGUSD) hit MonthPolymarket historical data and price history
(XAGUSD) hit Month: a Polymarket commodities series with markets recurring monthly. Marketlens has captured 61 markets since August 21, 2026, of which 52 resolved, with $499.1K 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.
For the commodities archive as a whole, see Polymarket price history.
Data as of 2026-10-05 · Polymarket series (XAGUSD) hit Month · slug xagusd-hit-month
Resolution outcomes
Outcomes across 52 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 66 markets.
Backtest this series
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(), "xagusd-hit-month",
after=end - timedelta(hours=1), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many (XAGUSD) hit Month markets are in the archive?
61 markets from August 21, 2026 through now, of which 52 have resolved and 14 are active.
What data exists for each (XAGUSD) hit Month 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 "xagusd-hit-month" through the API and Python SDK, or downloadable as Parquet.
How often do (XAGUSD) hit Month markets resolve No?
Of 52 resolved markets with a recorded outcome, 33 resolved No (63.5%) and 19 resolved Yes.
How much does a typical (XAGUSD) hit Month market trade?
Average traded volume is $7.6K per market, $499.1K across the series.
Can I backtest strategies on (XAGUSD) hit Month?
Yes. Pass the slug "xagusd-hit-month" 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.
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Try it
Pull (XAGUSD) hit Month books in one call
The free tier includes 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens