Palantir (PLTR) Up or DownPolymarket historical data and price history

Palantir (PLTR) Up or Down: a Polymarket equities series with markets recurring daily. Marketlens has captured 164 markets since March 2, 2026, of which 165 resolved, with $671.2K in traded volume. No new markets were collected from July 26, 2026 to August 2, 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 equities archive as a whole, see Polymarket price history.

Data as of 2026-11-02 · Polymarket series PLTR Daily Up or Down · slug pltr-daily-up-or-down

Markets
166
Resolved
165
Traded volume
$671.2K
Avg volume / market
$4.6K
Cadence
daily
Coverage from
2026-03-02
Data through
now
Category
Equities

No new markets were collected from July 26, 2026 to August 2, 2026, so windows inside that gap return nothing.

Resolution outcomes

Up: 85 (51.5%)Down: 80 (48.5%)

Outcomes across 165 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 166 markets.

Palantir (PLTR) Up or Down on October 30?

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

Palantir (PLTR) Up or Down on October 29?

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

Palantir (PLTR) Up or Down on October 28?

closed 2026-10-28 · resolved Down

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(), "pltr-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 Palantir (PLTR) Up or Down markets are in the archive?

164 markets from March 2, 2026 through now, of which 165 have resolved and 1 are active. No new markets were collected from July 26, 2026 to August 2, 2026, so windows inside that gap return nothing.

What data exists for each Palantir (PLTR) 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 "pltr-daily-up-or-down" through the API and Python SDK, or downloadable as Parquet.

How often do Palantir (PLTR) Up or Down markets resolve Up?

Of 165 resolved markets with a recorded outcome, 85 resolved Up (51.5%) and 80 resolved Down.

How much does a typical Palantir (PLTR) Up or Down market trade?

Average traded volume is $4.6K per market, $671.2K across the series.

Can I backtest strategies on Palantir (PLTR) Up or Down?

Yes. Pass the slug "pltr-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: SPY (SPY) Up or Down, What will S&P 500 (SPY) hit (Weekly), What will NVIDIA (NVDA) hit, What will Meta Platforms, Inc. (META) hit (Monthly), What will Coinbase Global, Inc. (COIN) hit, What will Tesla, Inc. (TSLA) hit, or all equities series.

Try it

Replay Palantir (PLTR) 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