Israel target a Syria by historical data
Israel target a Syria by is a Polymarket politics series with markets recurring monthly. Marketlens has captured 3 markets since August 24, 2026, of which 1 resolved, with $40.4K 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.
Data as of 2026-09-04 · series slug israel-target-a-syria-by
Markets in this series
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "israel-target-a-syria-by",
after="2026-08-24", before="2026-09-01", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Israel target a Syria by markets are in the archive?
3 markets from August 24, 2026 through August 31, 2026, of which 1 have resolved and 2 are active.
What data exists for each Israel target a Syria by 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-target-a-syria-by" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Israel target a Syria by market trade?
Average traded volume is $13.5K per market, $40.4K across the series.
Can I backtest strategies on Israel target a Syria by?
Yes. Pass the slug "israel-target-a-syria-by" to client.backtest() in the Python SDK. Execution mode replays order books against real historical depth; Alpha mode, one bar per market, covers every market in the series and suits its longer horizons.
Related series: Putin out as President, Trump out, US x Iran diplomatic meeting, Ukraine x Russia Peace Deal, Elon Musk Tweet Counts, trump monthly meeting, or all politics series.
Try it
Pull Israel target a Syria by books in one call
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$ pip install marketlens