Trump x Greenland deal signedPolymarket historical data and price history
Trump x Greenland deal signed: a Polymarket politics series. Marketlens has captured 3 markets since September 20, 2026, of which 3 resolved, with $1.1M 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.
For the politics archive as a whole, see Polymarket election data.
Data as of 2026-10-05 · Polymarket series Greenland Deal · slug greenland-deal
Markets in this series
Backtest this series
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(2026, 9, 23, tzinfo=timezone.utc)
result = client.backtest(
MyStrategy(), "greenland-deal",
after=end - timedelta(days=1), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Trump x Greenland deal signed markets are in the archive?
3 markets from September 20, 2026 through September 22, 2026, of which 3 have resolved.
What data exists for each Trump x Greenland deal signed 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 "greenland-deal" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Trump x Greenland deal signed market trade?
Average traded volume is $363.7K per market, $1.1M across the series.
Can I backtest strategies on Trump x Greenland deal signed?
Yes. Pass the slug "greenland-deal" to client.backtest() in the Python SDK. Execution mode replays order books against real historical depth; Alpha mode, one bar per market, covers every market in the series and suits its longer horizons.
Related series: Elon Musk # tweets, Will China invade Taiwan, Will the Iranian regime fall, Putin out as President of Russia, Trump out as President, Which party will win the House, or all politics series.
Try it
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$ pip install marketlens