(EWY) hit MonthPolymarket historical data and price history
(EWY) hit Month: a Polymarket equities series with markets recurring monthly. Marketlens has captured 23 markets since August 31, 2026, of which 5 resolved, with $47.9K 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 equities archive as a whole, see Polymarket price history.
Data as of 2026-09-17 · Polymarket series (EWY) hit Month · slug ewy-hit-month
Markets in this series
The most recently resolved of 23 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "ewy-hit-month",
after="2026-09-10", before="2026-09-18", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many (EWY) hit Month markets are in the archive?
23 markets from August 31, 2026 through September 17, 2026, of which 5 have resolved and 18 are active.
What data exists for each (EWY) 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 "ewy-hit-month" through the API and Python SDK, or downloadable as Parquet.
How much does a typical (EWY) hit Month market trade?
Average traded volume is $2.2K per market, $47.9K across the series.
Can I backtest strategies on (EWY) hit Month?
Yes. Pass the slug "ewy-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 (EWY) hit Month books in one call
The free tier includes 1M rows per day with full API and full archive access, no card required.
$ pip install marketlens