Airbnb Hit Price Weekly historical data
Airbnb Hit Price Weekly is a Polymarket equities series with markets recurring weekly. Marketlens has captured 252 markets since March 27, 2026, of which 241 resolved, with $202.7K 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 2026-08-05 · series slug airbnb-hit-price-weekly
Resolution outcomes
Outcomes across 241 resolved markets with a recorded winning outcome. Settlement in the archive is by winning outcome, not by final traded price.
Recent markets in this series
- Will Airbnb, Inc. (ABNB) hit (LOW) $150 Week of August 3 2026?
- Will Airbnb, Inc. (ABNB) hit (HIGH) $154 Week of August 3 2026?
- Will Airbnb, Inc. (ABNB) hit (HIGH) $152 Week of August 3 2026?
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "airbnb-hit-price-weekly",
after="2026-07-29", before="2026-08-06", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Airbnb Hit Price Weekly markets are in the archive?
252 markets from March 27, 2026 through August 5, 2026, of which 241 have resolved and 11 are active.
What data exists for each Airbnb Hit Price Weekly 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 "airbnb-hit-price-weekly" through the API and Python SDK, or downloadable as Parquet.
How often do Airbnb Hit Price Weekly markets resolve No?
Of 241 resolved markets with a recorded outcome, 155 resolved No (64.3%) and 86 resolved Yes.
How much does a typical Airbnb Hit Price Weekly market trade?
Average traded volume is $1.4K per market, $202.7K across the series.
Can I backtest strategies on Airbnb Hit Price Weekly?
Yes. Pass the slug "airbnb-hit-price-weekly" to client.backtest() in the Python SDK. Execution mode replays every market's order book tick by tick and fills simulated orders against real historical depth with queue priority, latency, and fee modelling; Alpha mode replays one bar per market for slower signals over long windows.
Related series: Airbnb Hit Price Monthly, S&P 500 monthly hit, SPY Daily Up or Down, SPY Hit Price Weekly, Meta Hit Price Monthly, Palantir Hit Price Monthly, or all equities series.
Try it
Replay Airbnb Hit Price Weekly tick by tick
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$ pip install marketlens