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 11 resolved, with $642.9K 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 2026-08-16 · series slug bank-of-mexico-decision
Resolution outcomes
Outcomes across 11 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 11 markets.
Bank of Mexico increases interest rates by 50+ bps after August 2026 meeting?
closed 2026-08-06 · volume $5.4K · resolved No
Bank of Mexico decreases interest rates by 50+ bps after August 2026 meeting?
closed 2026-08-06 · volume $7.5K · resolved No
No change in Bank of Mexico’s interest rates after August 2026 meeting?
closed 2026-08-06 · volume $67.6K · resolved Yes
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "bank-of-mexico-decision",
after="2026-07-30", before="2026-08-07", 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 6, 2026, of which 11 have resolved.
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 $58.4K per market, $642.9K 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 rows per day with full API and full archive access, no card required.
$ pip install marketlens