Will Lamb Weston (LW) beat quarterly earningsPolymarket historical data and price history
Will Lamb Weston (LW) beat quarterly earnings: a Polymarket equities series with markets recurring monthly. Marketlens has captured 2 markets since April 1, 2026, of which 2 resolved, with $19.1K 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 equities archive as a whole, see Polymarket price history.
Data as of 2026-09-17 · Polymarket series LW Earnings · slug lw-earnings
Markets in this series
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "lw-earnings",
after="2026-07-17", before="2026-07-25", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Will Lamb Weston (LW) beat quarterly earnings markets are in the archive?
2 markets from April 1, 2026 through July 24, 2026, of which 2 have resolved.
What data exists for each Will Lamb Weston (LW) beat quarterly 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 "lw-earnings" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Will Lamb Weston (LW) beat quarterly earnings market trade?
Average traded volume is $9.6K per market, $19.1K across the series.
Can I backtest strategies on Will Lamb Weston (LW) beat quarterly earnings?
Yes. Pass the slug "lw-earnings" to client.backtest() in the Python SDK. Execution mode replays every market's order book tick by tick and fills simulated orders against real historical depth with queue priority, latency, and fee modelling; Alpha mode replays one bar per market for slower signals over long windows.
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Try it
Replay Will Lamb Weston (LW) beat quarterly earnings tick by tick
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$ pip install marketlens