Apple Hit Price Weekly historical data
Apple Hit Price Weekly is a Polymarket equities series with markets recurring weekly. Marketlens has captured 252 markets since March 27, 2026, of which 240 resolved, with $107.9K 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 2026-08-05 · series slug apple-hit-price-weekly
Resolution outcomes
Outcomes across 240 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 Apple (AAPL) hit (HIGH) $308 Week of August 3 2026?
- Will Apple (AAPL) hit (LOW) $304 Week of August 3 2026?
- Will Apple (AAPL) hit (LOW) $312 Week of July 20 2026?
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "apple-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 Apple Hit Price Weekly markets are in the archive?
252 markets from March 27, 2026 through August 5, 2026, of which 240 have resolved and 12 are active.
What data exists for each Apple 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 "apple-hit-price-weekly" through the API and Python SDK, or downloadable as Parquet.
How often do Apple Hit Price Weekly markets resolve No?
Of 240 resolved markets with a recorded outcome, 165 resolved No (68.8%) and 75 resolved Yes.
How much does a typical Apple Hit Price Weekly market trade?
Average traded volume is $646 per market, $107.9K across the series.
Can I backtest strategies on Apple Hit Price Weekly?
Yes. Pass the slug "apple-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: Apple 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 Apple Hit Price Weekly tick by tick
The free tier includes 5M events per day with full API and full archive access, no card required.
$ pip install marketlens