Fed rate hikePolymarket historical data and price history
Fed rate hike: a Polymarket economy series with markets recurring annual. Marketlens has captured 4 markets since August 15, 2026, of which 3 resolved, with $13.7M 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 economy archive as a whole, see Polymarket price history.
Data as of 2026-10-12 · Polymarket series Fed Rate Hike · slug fed-rate-hike
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.now(timezone.utc) - timedelta(days=1)
result = client.backtest(
MyStrategy(), "fed-rate-hike",
after=end - timedelta(hours=1), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Fed rate hike markets are in the archive?
4 markets from August 15, 2026 through now, of which 3 have resolved and 1 are active.
What data exists for each Fed rate hike 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 "fed-rate-hike" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Fed rate hike market trade?
Average traded volume is $3.4M per market, $13.7M across the series.
Can I backtest strategies on Fed rate hike?
Yes. Pass the slug "fed-rate-hike" 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: Fed Decision, Largest Company, US Annual Inflation, Bank of Japan Decision, ECB Interest Rates, Bank of England decision, or all economy series.
Try it
Pull Fed rate hike 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