Polymarket economy historical data
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.
Data as of 2026-08-05
All economy series
FOMC
monthly · 18 markets · $748.5M
US Annual Inflation
monthly · 72 markets · $5.9M
Bank of Japan
annual · 17 markets · $3.7M
ECB Interest Rates
annual · 18 markets · $2.6M
Bank of England decision
annual · 18 markets · $1.4M
Bank of Brazil decision
annual · 14 markets · $1.2M
US Monthly Inflation
monthly · 47 markets · $932.7K
Bank of Russia Decision
annual · 12 markets · $838.6K
Bank of Mexico Decision
annual · 11 markets · $638.3K
Bank of Canada decision
annual · 22 markets · $460.1K
gdp quarterly
monthly · 14 markets · $429.2K
Bank of Korea decision
annual · 14 markets · $325.1K
Bank of Israel Decision
annual · 17 markets · $215.6K
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)
# the order book of any market, at any moment of its life
[market] = client.markets.list(
series_id="fomc", status="resolved", take=1,
)
book = client.orderbook.get(market.id, at=market.close_time)
print(book.best_bid, book.best_ask, book.midpoint)Common questions
How many Polymarket economy markets does Marketlens have data for?
The archive covers 294 economy markets across 13 recurring series, of which 250 have resolved. Coverage runs from March 1, 2026 through August 5, 2026.
What data is available for each economy market?
Every market has full L2 order book history (snapshots plus every price change with millisecond timestamps), trades, candles, and 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 $767.2M in the covered window. 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 5M events per day with full API and full archive access, no card required.
$ pip install marketlens