LULU Earnings historical data
LULU Earnings is a Polymarket equities series with markets recurring monthly. Marketlens has captured 3 markets since March 17, 2026, of which 2 resolved, with $9.9K 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.
Data as of 2026-08-24 · series slug lulu-earnings
The market in this series
Will Lululemon Athletica (LULU) beat quarterly earnings?
closed 2026-03-17 · volume $9.9K · resolved Yes
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "lulu-earnings",
after="2026-05-28", before="2026-06-05", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many LULU Earnings markets are in the archive?
3 markets from March 17, 2026 through June 4, 2026, of which 2 have resolved and 1 are active.
What data exists for each LULU Earnings 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 "lulu-earnings" through the API and Python SDK, or downloadable as Parquet.
How much does a typical LULU Earnings market trade?
Average traded volume is $4.9K per market, $9.9K across the series.
Can I backtest strategies on LULU Earnings?
Yes. Pass the slug "lulu-earnings" 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: S&P 500 monthly hit, SPY Daily Up or Down, SPY Hit Price Weekly, Meta Hit Price Monthly, Palantir Hit Price Monthly, OPEN Neg Risk Weekly, or all equities series.
Try it
Replay LULU Earnings tick by tick
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens