Bank of Canada decision historical data
Bank of Canada decision is a Polymarket economy series with markets recurring annual. Marketlens has captured 22 markets since March 1, 2026, of which 17 resolved, with $460.1K 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-canada-decision
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
- Will the Bank of Canada make no change to the target for the overnight rate at the July interest rate announcement?
- Will the Bank of Canada increase the target for the overnight rate by 25 bps at the July interest rate announcement?
- Will the Bank of Canada decrease the target for the overnight rate by 50+ bps at the July interest rate announcement?
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "bank-of-canada-decision",
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 Canada decision markets are in the archive?
22 markets from March 1, 2026 through August 5, 2026, of which 17 have resolved and 5 are active.
What data exists for each Bank of Canada decision 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-canada-decision" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Bank of Canada decision market trade?
Average traded volume is $20.9K per market, $460.1K across the series.
Can I backtest strategies on Bank of Canada decision?
Yes. Pass the slug "bank-of-canada-decision" 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 Bank of Canada decision tick by tick
The free tier includes 5M events per day with full API and full archive access, no card required.
$ pip install marketlens