ANF Earnings historical data
ANF Earnings is a Polymarket equities series with markets recurring monthly. Marketlens has captured 3 markets since March 4, 2026, of which 2 resolved, with $2.7K 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 2026-08-16 · series slug anf-earnings
Markets in this series
Will Abercrombie & Fitch (ANF) beat quarterly earnings?
closed 2026-03-04 · volume $2.1K · resolved Yes
Will Abercrombie & Fitch (ANF) beat quarterly earnings?
closes 2026-08-26 · volume $655 · active
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "anf-earnings",
after="2026-05-20", before="2026-05-28", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many ANF Earnings markets are in the archive?
3 markets from March 4, 2026 through May 27, 2026, of which 2 have resolved and 1 are active.
What data exists for each ANF 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 "anf-earnings" through the API and Python SDK, or downloadable as Parquet.
How much does a typical ANF Earnings market trade?
Average traded volume is $915 per market, $2.7K across the series.
Can I backtest strategies on ANF Earnings?
Yes. Pass the slug "anf-earnings" to client.backtest() in the Python SDK. Execution mode replays every market's order book tick by tick and fills simulated orders against real historical depth with queue priority, latency, and fee modelling; Alpha mode replays one bar per market for slower signals over long windows.
Related series: S&P 500 monthly hit, SPY Daily Up or Down, SPY Hit Price Weekly, Meta Hit Price Monthly, Palantir Hit Price Monthly, OPEN Neg Risk Weekly, or all equities series.
Try it
Replay ANF Earnings tick by tick
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$ pip install marketlens