Japan GDP growth in Q2 2026 (QoQ Annualized)?Polymarket historical data and price history
Japan GDP growth in Q2 2026 (QoQ Annualized): a standalone Polymarket economy event with 10 markets and $71.0K in lifetime traded volume. All markets have resolved, each with its winning outcome stored. Marketlens records every market's order book at full depth, coverage running since August 15, 2026 through August 17, 2026.
Data as of 2026-09-28
Top 5 of 10 markets
Will Japan Q2 GDP growth (annualized) be between 1.6% and 2.4%?
closed 2026-08-17 · volume $3.7K · resolved No
Will Japan Q2 GDP growth (annualized) be between 2.4% and 3.2%?
closed 2026-08-17 · volume $4.7K · resolved No
Will Japan Q2 GDP growth (annualized) be between 0.8% and 1.6%?
closed 2026-08-17 · volume $15.4K · resolved Yes
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Japan GDP growth in Q2 2026 (QoQ Annualized)", take=1)
for market in client.events.markets(event.id, take=5):
print(market.question, market.outcomes[0].last_price)
# the order book behind any market, at any past moment
# a free key reads markets open in the last 7 days
book = client.orderbook.get(market.id, at=datetime.now(timezone.utc) - timedelta(days=2))
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "Japan GDP growth in Q2 2026 (QoQ Annualized)"?
10 markets with full depth L2 order book history recorded since August 15, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Japan GDP growth in Q2 2026 (QoQ Annualized)" traded on Polymarket?
$71.0K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Japan GDP growth in Q2 2026 (QoQ Annualized)" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Japan GDP growth in Q2 2026 (QoQ Annualized)", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work; the free tier reads markets open in the last 7 days and Pro the full archive.
Related events: How many Fed rate cuts in 2026?, What will the Fed rate be at the end of 2026?, Billionaire one-time wealth tax passes in California election 2026?, or the full event list.
Try it
Pull this event's 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