gdp quarterly historical data
gdp quarterly is a Polymarket economy series with markets recurring monthly. Marketlens has captured 14 markets since March 1, 2026, of which 14 resolved, with $429.2K in traded volume. Every market's order book is stored in full: periodic L2 snapshots plus every individual price change with a millisecond timestamp, alongside trades, candles, and the final resolution outcome.
Data as of 2026-08-05 · series slug gdp-quarterly
Resolution outcomes
Outcomes across 14 resolved markets with a recorded winning outcome. Settlement in the archive is by winning outcome, not by final traded price.
Recent markets in this series
- Will US GDP growth in Q2 2026 be between 2.0% and 2.5%?
- Will US GDP growth in Q2 2026 be between 1.5% and 2.0%?
- Will US GDP growth in Q2 2026 be between 2.5% and 3.0%?
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "gdp-quarterly",
after="2026-07-29", before="2026-08-06", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many gdp quarterly markets are in the archive?
14 markets from March 1, 2026 through August 5, 2026, of which 14 have resolved.
What data exists for each gdp quarterly market?
Full L2 order book history (snapshots plus every price change at millisecond resolution), individual trades, OHLC candles, and the resolution outcome. All of it is queryable by the series slug "gdp-quarterly" through the API and Python SDK, or downloadable as Parquet.
How much does a typical gdp quarterly market trade?
Average traded volume is $30.7K per market, $429.2K across the series.
Can I backtest strategies on gdp quarterly?
Yes. Pass the slug "gdp-quarterly" to client.backtest() in the Python SDK. Execution mode replays every market's order book tick by tick and fills simulated orders against real historical depth with queue priority, latency, and fee modelling; Alpha mode replays one bar per market for slower signals over long windows.
Related series: FOMC, US Annual Inflation, Bank of Japan, ECB Interest Rates, Bank of England decision, Bank of Brazil decision, or all economy series.
Try it
Replay gdp quarterly tick by tick
The free tier includes 5M events per day with full API and full archive access, no card required.
$ pip install marketlens