Core CPI MoM historical data
Core CPI MoM is a Polymarket economy series with markets recurring monthly. Marketlens has captured 7 markets since August 12, 2026, of which 7 resolved, with $60.0K 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 economy archive as a whole, see Polymarket price history.
Data as of 2026-09-14 · series slug core-cpi-mom
Resolution outcomes
Outcomes across 7 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 7 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "core-cpi-mom",
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 Core CPI MoM markets are in the archive?
7 markets from August 12, 2026 through September 11, 2026, of which 7 have resolved.
What data exists for each Core CPI MoM 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 "core-cpi-mom" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Core CPI MoM market trade?
Average traded volume is $8.6K per market, $60.0K across the series.
Can I backtest strategies on Core CPI MoM?
Yes. Pass the slug "core-cpi-mom" 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: FOMC, Largest Company, US Annual Inflation, Bank of Japan, ECB Interest Rates, Bank of England decision, or all economy series.
Try it
Pull Core CPI MoM 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