Core CPI MoMPolymarket historical data and price history
Core CPI MoM: a Polymarket economy series with markets recurring monthly. Marketlens has captured 14 markets since September 10, 2026, of which 14 resolved, with $153.9K 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 economy archive as a whole, see Polymarket price history.
Data as of 2026-10-26 · Polymarket series Core CPI MoM · slug core-cpi-mom
Resolution outcomes
Outcomes across 14 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 14 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(), "core-cpi-mom",
after=end - timedelta(hours=1), before=end, 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?
14 markets from September 10, 2026 through now, of which 14 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, 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 "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 $11.0K per market, $153.9K 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: Fed Decision, Largest Company, Fed rate hike, US Annual Inflation, Bank of Japan Decision, ECB Interest Rates, or all economy series.
Try it
Pull Core CPI MoM 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