Bank of Mexico Decision historical data
Bank of Mexico Decision is a Polymarket economy series with markets recurring annual. Marketlens has captured 11 markets since March 1, 2026, of which 6 resolved, with $638.3K 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-mexico-decision
Resolution outcomes
Outcomes across 6 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 Mexico announce a decrease at the May meeting?
- Will the Bank of Mexico announce an increase at the May meeting?
- Will the Bank of Mexico announce no change at the May meeting?
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "bank-of-mexico-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 Mexico Decision markets are in the archive?
11 markets from March 1, 2026 through August 5, 2026, of which 6 have resolved and 5 are active.
What data exists for each Bank of Mexico 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-mexico-decision" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Bank of Mexico Decision market trade?
Average traded volume is $58.0K per market, $638.3K across the series.
Can I backtest strategies on Bank of Mexico Decision?
Yes. Pass the slug "bank-of-mexico-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 Mexico 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