Israel military action against LebanonPolymarket historical data and price history

Israel military action against Lebanon: a Polymarket politics series with markets recurring monthly. Marketlens has captured 56 markets since September 4, 2026, of which 35 resolved, with $698.4K in traded volume. Every market's order book is captured as full depth L2 snapshots at regular intervals, alongside trades, candles, and the final resolution outcome.

For the politics archive as a whole, see Polymarket election data.

Data as of 2026-10-12 · Polymarket series Israel military action against Lebanon · slug israel-military-action-against-lebanon

Markets
56
Resolved
35
Traded volume
$698.4K
Avg volume / market
$12.5K
Cadence
monthly
Coverage from
2026-09-04
Data through
now
Category
Politics

Resolution outcomes

Yes: 34 (97.1%)No: 1 (2.9%)

Outcomes across 35 resolved markets with a recorded winning outcome. Settlement in the archive is by winning outcome, not by final traded price.

Markets in this series

The most recently resolved of 56 markets.

Israel military action against Lebanon on October 11?

closed 2026-10-11 · volume $3.0K · resolved Yes

Israel military action against Lebanon on October 10?

closed 2026-10-11 · volume $1.7K · resolved Yes

Israel military action against Lebanon on October 9?

closed 2026-10-10 · volume $2.0K · resolved Yes

Backtest this series

python
from datetime import datetime, timedelta, timezone from marketlens import MarketLens, Strategy class MyStrategy(Strategy): def on_market_start(self, ctx, market, book): ctx.buy_yes(size=10) client = MarketLens() end = datetime.now(timezone.utc) - timedelta(days=1) result = client.backtest( MyStrategy(), "israel-military-action-against-lebanon", after=end - timedelta(hours=1), before=end, initial_cash=1_000, ) result.show() # inspect the run in the dashboard

Available datasets

Order book snapshots and deltasfull L2 depth, millisecond price changes
Tradesindividual fills with side and size
CandlesOHLC at multiple resolutions
Bulk Parquet exportsfull markets for offline research
Backtestingtick level replay with realistic fills

Common questions

How many Israel military action against Lebanon markets are in the archive?

56 markets from September 4, 2026 through now, of which 35 have resolved and 21 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. 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 often do Israel military action against Lebanon markets resolve Yes?

Of 35 resolved markets with a recorded outcome, 34 resolved Yes (97.1%) and 1 resolved No.

How much does a typical Israel military action against Lebanon market trade?

Average traded volume is $12.5K per market, $698.4K 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: Elon Musk # tweets, Will China invade Taiwan, Will the Iranian regime fall, Putin out as President of Russia, Trump out as President, Which party will win the House, or all politics series.

Try it

Pull Israel military action against Lebanon books in one call

The free tier includes 2M data rows and every market open in the last 7 days, no card required.

bash
$ pip install marketlens