MSTR Hit Price Monthly historical data
MSTR Hit Price Monthly is a Polymarket equities series with markets recurring monthly. Marketlens has captured 14 markets since July 31, 2026, of which 1 resolved, with n/a 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 2026-08-10 · series slug mstr-hit-price-monthly
Recent markets in this series
- Will MicroStrategy (MSTR) hit (HIGH) $100 in August?
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "mstr-hit-price-monthly",
after="2026-08-03", before="2026-08-11", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many MSTR Hit Price Monthly markets are in the archive?
14 markets from July 31, 2026 through August 10, 2026, of which 1 have resolved and 13 are active.
What data exists for each MSTR Hit Price Monthly 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 "mstr-hit-price-monthly" through the API and Python SDK, or downloadable as Parquet.
Can I backtest strategies on MSTR Hit Price Monthly?
Yes. Pass the slug "mstr-hit-price-monthly" 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: MSTR Hit Price Weekly, 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 MSTR Hit Price Monthly tick by tick
The free tier includes 5M events per day with full API and full archive access, no card required.
$ pip install marketlens