Which party will win the HousePolymarket historical data and price history
Which party will win the House: a Polymarket politics series with markets recurring monthly. Marketlens has captured 8 markets since August 16, 2026, of which 1 resolved, with $13.8M 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 House Odds Deriv · slug house-odds-deriv
Markets in this series
The most recently resolved of 15 markets.
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.now(timezone.utc) - timedelta(days=1)
result = client.backtest(
MyStrategy(), "house-odds-deriv",
after=end - timedelta(hours=1), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Which party will win the House markets are in the archive?
8 markets from August 16, 2026 through now, of which 1 have resolved and 7 are active.
What data exists for each Which party will win the House 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 "house-odds-deriv" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Which party will win the House market trade?
Average traded volume is $922.7K per market, $13.8M across the series.
Can I backtest strategies on Which party will win the House?
Yes. Pass the slug "house-odds-deriv" 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, Where will the next US-Iran senior diplomatic meeting take place, or all politics series.
Try it
Pull Which party will win the House books in one call
The free tier includes 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens