Russell 2000 Daily Up or DownPolymarket historical data and price history

Russell 2000 Daily Up or Down: a Polymarket indices series with markets recurring daily. Marketlens has captured 162 markets since March 2, 2026, of which 163 resolved, with $584.7K in traded volume. No new markets were collected from July 27, 2026 to August 3, 2026, so windows inside that gap return nothing. 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.

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

Data as of 2026-11-02 · Polymarket series Russell 2000 Daily Up or Down · slug russell-2000-daily-up-or-down

Markets
164
Resolved
163
Traded volume
$584.7K
Avg volume / market
$4.3K
Cadence
daily
Coverage from
2026-03-02
Data through
now
Category
Indices

No new markets were collected from July 27, 2026 to August 3, 2026, so windows inside that gap return nothing.

Resolution outcomes

Up: 89 (54.6%)Down: 74 (45.4%)

Outcomes across 163 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 164 markets.

Russell 2000 (RUT) Up or Down on October 30?

closed 2026-10-30 · volume $0 · resolved Down

Russell 2000 (RUT) Up or Down on October 29?

closed 2026-10-29 · volume $0 · resolved Up

Russell 2000 (RUT) Up or Down on October 28?

closed 2026-10-28 · resolved Up

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(), "russell-2000-daily-up-or-down", 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 Russell 2000 Daily Up or Down markets are in the archive?

162 markets from March 2, 2026 through now, of which 163 have resolved and 1 are active. No new markets were collected from July 27, 2026 to August 3, 2026, so windows inside that gap return nothing.

What data exists for each Russell 2000 Daily Up or Down 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 "russell-2000-daily-up-or-down" through the API and Python SDK, or downloadable as Parquet.

How often do Russell 2000 Daily Up or Down markets resolve Up?

Of 163 resolved markets with a recorded outcome, 89 resolved Up (54.6%) and 74 resolved Down.

How much does a typical Russell 2000 Daily Up or Down market trade?

Average traded volume is $4.3K per market, $584.7K across the series.

Can I backtest strategies on Russell 2000 Daily Up or Down?

Yes. Pass the slug "russell-2000-daily-up-or-down" 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: S&P 500 (SPX) Up or Down, S&P 500 (SPX) Opens Up or Down, Dow Jones (DJIA) Up or Down, Hang Seng (HSI) Up or Down, Nikkei 225 (NIK) Up or Down, Nasdaq 100 (NDX) Up or Down, or all indices series.

Try it

Replay Russell 2000 Daily Up or Down tick by tick

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

bash
$ pip install marketlens