Reserve Bank of Australia DecisionPolymarket historical data and price history

Reserve Bank of Australia Decision: a Polymarket economy series with markets recurring annual. Marketlens has captured 5 markets since September 28, 2026, of which 5 resolved, with $196.8K in traded volume. Order books are stored at full depth, with every individual price change captured at millisecond resolution on the most actively traded markets, alongside trades, candles, and the final resolution outcome.

For the economy archive as a whole, see Polymarket price history.

Data as of 2026-10-05 · Polymarket series Reserve Bank of Australia Decision · slug reserve-bank-of-australia-decision

Markets
5
Resolved
5
Traded volume
$196.8K
Avg volume / market
$39.4K
Cadence
annual
Coverage from
2026-09-28
Data through
now
Category
Economy

Resolution outcomes

No: 4 (80.0%)Yes: 1 (20.0%)

Outcomes across 5 resolved markets with a recorded winning outcome. Settlement in the archive is by winning outcome, not by final traded price.

Markets in this series

Reserve Bank of Australia increases interest rates by 25 bps at the September 2026 meeting?

closed 2026-09-29 · volume $82.2K · resolved Yes

Reserve Bank of Australia decreases interest rates by 50+ bps at the September 2026 meeting?

closed 2026-09-29 · volume $16.5K · resolved No

Reserve Bank of Australia decreases interest rates by 25 bps at the September 2026 meeting?

closed 2026-09-29 · volume $8.7K · resolved No

Reserve Bank of Australia increases interest rates by 50+ bps at the September 2026 meeting?

closed 2026-09-29 · volume $22.1K · resolved No

No change in Reserve Bank of Australia's interest rates at the September 2026 meeting?

closed 2026-09-29 · volume $67.2K · resolved No

Backtest this series

python
from datetime import datetime, timedelta, timezone from marketlens import MarketLens, Strategy class MyStrategy(Strategy): def on_market_start(self, ctx, market, book): ctx.buy_yes(size=10) client = MarketLens() end = datetime.now(timezone.utc) - timedelta(days=1) result = client.backtest( MyStrategy(), "reserve-bank-of-australia-decision", after=end - timedelta(hours=1), before=end, initial_cash=1_000, ) result.show() # inspect the run in the dashboard

Available datasets

Order book snapshots and deltasfull L2 depth, millisecond price changes
Tradesindividual fills with side and size
CandlesOHLC at multiple resolutions
Bulk Parquet exportsfull markets for offline research
Backtestingtick level replay with realistic fills

Common questions

How many Reserve Bank of Australia Decision markets are in the archive?

5 markets from September 28, 2026 through now, of which 5 have resolved.

What data exists for each Reserve Bank of Australia Decision market?

Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome, with the full price change stream at millisecond resolution on the most actively traded markets in the series. All of it is queryable by the series slug "reserve-bank-of-australia-decision" through the API and Python SDK, or downloadable as Parquet.

How much does a typical Reserve Bank of Australia Decision market trade?

Average traded volume is $39.4K per market, $196.8K across the series.

Can I backtest strategies on Reserve Bank of Australia Decision?

Yes. Pass the slug "reserve-bank-of-australia-decision" to client.backtest() in the Python SDK. Execution mode replays order books against real historical depth; Alpha mode, one bar per market, covers every market in the series and suits its longer horizons.

Related series: Fed Decision, Fed rate hike, Largest Company, US Annual Inflation, Bank of Japan Decision, ECB Interest Rates, or all economy series.

Try it

Pull Reserve Bank of Australia Decision books in one call

The free tier includes 2M data rows and every market open in the last 7 days, no card required.

bash
$ pip install marketlens