Bank of Israel Decision historical data
Bank of Israel Decision is a Polymarket economy series with markets recurring annual. Marketlens has captured 17 markets since March 1, 2026, of which 9 resolved, with $215.6K 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-israel-decision
Resolution outcomes
Outcomes across 9 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 Israel make no change to the Bank of Israel Interest Rate after the July decision?
- Will the Bank of Israel decrease the Bank of Israel Interest Rate after the July decision?
- Will the Bank of Israel increase the Bank of Israel Interest Rate after the July decision?
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "bank-of-israel-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 Israel Decision markets are in the archive?
17 markets from March 1, 2026 through August 5, 2026, of which 9 have resolved and 8 are active.
What data exists for each Bank of Israel 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-israel-decision" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Bank of Israel Decision market trade?
Average traded volume is $13.5K per market, $215.6K across the series.
Can I backtest strategies on Bank of Israel Decision?
Yes. Pass the slug "bank-of-israel-decision" to client.backtest() in the Python SDK. Execution mode replays every market's order book tick by tick and fills simulated orders against real historical depth with queue priority, latency, and fee modelling; Alpha mode replays one bar per market for slower signals over long windows.
Related series: FOMC, US Annual Inflation, Bank of Japan, ECB Interest Rates, Bank of England decision, Bank of Brazil decision, or all economy series.
Try it
Replay Bank of Israel Decision tick by tick
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$ pip install marketlens