US GDP growthPolymarket historical data and price history

US GDP growth: 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.

For the economy archive as a whole, see Polymarket price history.

Data as of 2026-09-17 · Polymarket series GDP Quarterly · slug gdp-quarterly

Markets
14
Resolved
14
Traded volume
$429.2K
Avg volume / market
$30.7K
Cadence
monthly
Coverage from
2026-03-01
Data through
2026-07-30
Category
Economy

Resolution outcomes

No: 12 (85.7%)Yes: 2 (14.3%)

Outcomes across 14 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 14 markets.

Will US GDP growth in Q2 2026 be between 2.0% and 2.5%?

closed 2026-07-30 · volume $2.8K · resolved No

Will US GDP growth in Q2 2026 be between 2.5% and 3.0%?

closed 2026-07-30 · volume $2.4K · resolved No

Will US GDP growth in Q2 2026 be between 1.5% and 2.0%?

closed 2026-07-30 · volume $3.2K · resolved Yes

Backtest this series

python
from marketlens import MarketLens client = MarketLens() result = client.backtest( MyStrategy(), "gdp-quarterly", after="2026-07-23", before="2026-07-31", initial_cash=1_000, ) result.show() # inspect the run in the dashboard

Available datasets

Order book snapshots and deltasfull L2 depth, millisecond price changes
Tradesindividual fills with side and size
CandlesOHLC at multiple resolutions
Bulk Parquet exportsfull markets for offline research
Backtestingtick level replay with realistic fills

Common questions

How many US GDP growth markets are in the archive?

14 markets from March 1, 2026 through July 30, 2026, of which 14 have resolved.

What data exists for each US GDP growth 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 US GDP growth market trade?

Average traded volume is $30.7K per market, $429.2K across the series.

Can I backtest strategies on US GDP growth?

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: Fed Decision, Fed rate hike, Largest Company, US Annual Inflation, Bank of Japan Decision, ECB Interest Rates, or all economy series.

Try it

Replay US GDP growth tick by tick

The free tier includes 1M rows per day with full API and full archive access, no card required.

bash
$ pip install marketlens