US Monthly InflationPolymarket historical data and price history
US Monthly Inflation: a Polymarket economy series with markets recurring monthly. Marketlens has captured 65 markets since March 1, 2026, of which 56 resolved, with $1.1M in traded volume. 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 economy archive as a whole, see Polymarket price history.
Data as of 2026-09-17 · Polymarket series US Monthly Inflation · slug us-monthly-inflation
Resolution outcomes
Outcomes across 56 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 65 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "us-monthly-inflation",
after="2026-09-04", before="2026-09-12", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many US Monthly Inflation markets are in the archive?
65 markets from March 1, 2026 through September 11, 2026, of which 56 have resolved and 9 are active.
What data exists for each US Monthly Inflation 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 "us-monthly-inflation" through the API and Python SDK, or downloadable as Parquet.
How often do US Monthly Inflation markets resolve No?
Of 56 resolved markets with a recorded outcome, 49 resolved No (87.5%) and 7 resolved Yes.
How much does a typical US Monthly Inflation market trade?
Average traded volume is $16.3K per market, $1.1M across the series.
Can I backtest strategies on US Monthly Inflation?
Yes. Pass the slug "us-monthly-inflation" 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: Fed Decision, Fed rate hike, Largest Company, US Annual Inflation, Bank of Japan Decision, ECB Interest Rates, or all economy series.
Try it
Replay US Monthly Inflation tick by tick
The free tier includes 1M rows per day with full API and full archive access, no card required.
$ pip install marketlens