Bank of Japan historical data
Bank of Japan is a Polymarket economy series with markets recurring annual. Marketlens has captured 17 markets since March 1, 2026, of which 17 resolved, with $3.7M 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 bank-of-japan
Resolution outcomes
Outcomes across 17 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
- Bank of Japan increases interest rates by 50+ bps after the July 2026 meeting?
- Bank of Japan decreases interest rates by 25 bps after the July 2026 meeting?
- Bank of Japan increases interest rates by 25 bps after the July 2026 meeting?
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "bank-of-japan",
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 Bank of Japan markets are in the archive?
17 markets from March 1, 2026 through August 5, 2026, of which 17 have resolved.
What data exists for each Bank of Japan 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 "bank-of-japan" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Bank of Japan market trade?
Average traded volume is $216.9K per market, $3.7M across the series.
Can I backtest strategies on Bank of Japan?
Yes. Pass the slug "bank-of-japan" 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, ECB Interest Rates, Bank of England decision, Bank of Brazil decision, US Monthly Inflation, or all economy series.
Try it
Replay Bank of Japan tick by tick
The free tier includes 5M events per day with full API and full archive access, no card required.
$ pip install marketlens