US Annual InflationPolymarket historical data and price history
US Annual Inflation: a Polymarket economy series with markets recurring monthly. Marketlens has captured 96 markets since March 1, 2026, of which 84 resolved, with $6.1M 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 Annual Inflation · slug us-annual-inflation
Resolution outcomes
Outcomes across 84 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 96 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "us-annual-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 Annual Inflation markets are in the archive?
96 markets from March 1, 2026 through September 11, 2026, of which 84 have resolved and 12 are active.
What data exists for each US Annual 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-annual-inflation" through the API and Python SDK, or downloadable as Parquet.
How often do US Annual Inflation markets resolve No?
Of 84 resolved markets with a recorded outcome, 76 resolved No (90.5%) and 8 resolved Yes.
How much does a typical US Annual Inflation market trade?
Average traded volume is $64.0K per market, $6.1M across the series.
Can I backtest strategies on US Annual Inflation?
Yes. Pass the slug "us-annual-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, Bank of Japan Decision, ECB Interest Rates, Bank of England decision, or all economy series.
Try it
Replay US Annual 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