Fed decisionsPolymarket historical data and price history
Fed decisions: a Polymarket economy series with markets recurring daily. Marketlens has captured 8 markets since August 22, 2026, of which 3 resolved, with $1.1M 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 3-Parlay · slug fed-3-parlay
Resolution outcomes
Outcomes across 3 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 8 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(), "fed-3-parlay",
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 decisions markets are in the archive?
8 markets from August 22, 2026 through now, of which 3 have resolved and 5 are active.
What data exists for each Fed decisions 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-3-parlay" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Fed decisions market trade?
Average traded volume is $135.8K per market, $1.1M across the series.
Can I backtest strategies on Fed decisions?
Yes. Pass the slug "fed-3-parlay" 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, Fed rate hike, Largest Company, US Annual Inflation, Bank of Japan Decision, ECB Interest Rates, or all economy series.
Try it
Pull Fed decisions 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