Polymarket economy markets
Polymarket's economy series cover scheduled macro events: Fed rate decisions, CPI prints, jobs numbers. Each release becomes a market whose price is a live probability, and the order book shows conviction building or collapsing as data approaches.
Marketlens captures these books in full. Because each event resolves cleanly against an official number, the archive doubles as a calibration record for market implied macro forecasts.
This page lists the economy series in the catalog. For what the economy archive holds and how to pull it, see Polymarket price history.
Data as of 2026-11-02
All economy series
Fed Decision
monthly · 28 markets · $1.2B
Largest Company
monthly · 107 markets · $16.1M
Fed rate hike
annual · 4 markets · $14.4M
US Annual Inflation
monthly · 108 markets · $7.7M
Bank of Japan Decision
annual · 27 markets · $5.1M
ECB Interest Rates
annual · 28 markets · $4.0M
Bank of England decision
annual · 28 markets · $2.1M
Bank of Russia decision
annual · 18 markets · $2.0M
Bank of Brazil decision
annual · 24 markets · $1.5M
US Monthly Inflation
monthly · 74 markets · $1.5M
Fed decisions
daily · 17 markets · $1.5M
How high will 10-year Treasury yield go
weekly · 27 markets · $1.2M
Bank of Mexico Decision
annual · 21 markets · $1.2M
Bank of Canada Decision
annual · 27 markets · $1.0M
2nd Largest Company
monthly · 116 markets · $936.7K
Query this category
from marketlens import MarketLens
client = MarketLens()
for market in client.markets.list(category="Economy", status="resolved", take=50):
print(market.question, market.winning_outcome)Common questions
How many Polymarket economy markets does Marketlens have data for?
The archive covers 969 economy markets across 31 recurring series, of which 763 have resolved. Coverage runs from March 1, 2026 through now.
What data is available for each economy market?
Most markets have full L2 order book history (snapshots plus every price change with millisecond timestamps), trades, and candles; the longest dated books carry full depth snapshots at regular intervals alongside their trades and candles. Every market stores its final resolution outcome. Data is served through the REST API and Python SDK, with bulk Parquet exports for offline work.
How much do these markets trade?
Combined traded volume across the category is $1.2B. Per series volumes are listed in the table on this page.
Can I backtest strategies on economy markets?
Yes. Pass any series slug from this page to client.backtest() in the Python SDK. Execution mode replays the order books tick by tick and fills simulated orders against real depth with queue priority, latency, and fee modelling; Alpha mode replays one bar per market for slower signals over long windows.
Other categories: crypto, sports, weather, or the full catalog.
Try it
Pull economy 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