US Dollar Index (DXY) Up or DownPolymarket historical data and price history

US Dollar Index (DXY) Up or Down: a Polymarket equities series with markets recurring daily. Marketlens has captured 34 markets since August 17, 2026, of which 33 resolved, with $4.1K 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.

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

Data as of 2026-10-05 · Polymarket series DXY Daily Up or Down · slug dxy-daily-up-or-down

Markets
34
Resolved
33
Traded volume
$4.1K
Avg volume / market
$128
Cadence
daily
Coverage from
2026-08-17
Data through
now
Category
Equities

Resolution outcomes

Up: 20 (60.6%)Down: 13 (39.4%)

Outcomes across 33 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 34 markets.

US Dollar Index (DXY) Up or Down on October 2?

closed 2026-10-02 · volume $2 · resolved Down

US Dollar Index (DXY) Up or Down on October 1?

closed 2026-10-01 · resolved Up

US Dollar Index (DXY) Up or Down on September 30?

closed 2026-09-30 · volume $10 · 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(), "dxy-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 US Dollar Index (DXY) Up or Down markets are in the archive?

34 markets from August 17, 2026 through now, of which 33 have resolved and 1 are active.

What data exists for each US Dollar Index (DXY) 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 "dxy-daily-up-or-down" through the API and Python SDK, or downloadable as Parquet.

How often do US Dollar Index (DXY) Up or Down markets resolve Up?

Of 33 resolved markets with a recorded outcome, 20 resolved Up (60.6%) and 13 resolved Down.

How much does a typical US Dollar Index (DXY) Up or Down market trade?

Average traded volume is $128 per market, $4.1K across the series.

Can I backtest strategies on US Dollar Index (DXY) Up or Down?

Yes. Pass the slug "dxy-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.

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Try it

Replay US Dollar Index (DXY) 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