Israel military action against Lebanon historical data
Israel military action against Lebanon is a Polymarket politics series with markets recurring monthly. Marketlens has captured 28 markets since September 3, 2026, of which 1 resolved, with $429.9K in traded volume. Order books are stored at full depth, with every individual price change captured at millisecond resolution on the most actively traded markets, alongside trades, candles, and the final resolution outcome.
Data as of 2026-09-07 · series slug israel-military-action-against-lebanon
Markets in this series
The most recently resolved of 28 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "israel-military-action-against-lebanon",
after="2026-09-03", before="2026-09-07", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Israel military action against Lebanon markets are in the archive?
28 markets from September 3, 2026 through September 6, 2026, of which 1 have resolved and 26 are active.
What data exists for each Israel military action against Lebanon market?
Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome, with the full price change stream at millisecond resolution on the most actively traded markets in the series. All of it is queryable by the series slug "israel-military-action-against-lebanon" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Israel military action against Lebanon market trade?
Average traded volume is $21.5K per market, $429.9K across the series.
Can I backtest strategies on Israel military action against Lebanon?
Yes. Pass the slug "israel-military-action-against-lebanon" to client.backtest() in the Python SDK. Execution mode replays order books against real historical depth; Alpha mode, one bar per market, covers every market in the series and suits its longer horizons.
Related series: Putin out as President, Trump out, US x Iran diplomatic meeting, Ukraine x Russia Peace Deal, Elon Musk Tweet Counts, trump monthly meeting, or all politics series.
Try it
Pull Israel military action against Lebanon books in one call
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$ pip install marketlens