Vertiv (VRT)Polymarket historical data and price history

Vertiv (VRT): a Polymarket equities series. Marketlens has captured 5 markets since October 22, 2026, of which 5 resolved, with $23.4K in traded volume. Every market's order book is captured as full depth L2 snapshots at regular intervals, 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 VRT KPIs · slug vrt-kpis

Markets
5
Resolved
5
Traded volume
$23.4K
Avg volume / market
$4.7K
Cadence
varies
Coverage from
2026-10-22
Data through
2026-10-28
Category
Equities

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

Vertiv (VRT) Q3 adjusted operating margin 26% to 28%?

closed 2026-10-28 · volume $3.7K · resolved No

Vertiv (VRT) Q3 adjusted operating margin 22% to 24%?

closed 2026-10-28 · volume $3.1K · resolved No

Vertiv (VRT) Q3 adjusted operating margin 24% to 26%?

closed 2026-10-28 · volume $12.8K · resolved Yes

Vertiv (VRT) Q3 adjusted operating margin 28%+?

closed 2026-10-28 · volume $1.9K · resolved No

Vertiv (VRT) Q3 adjusted operating margin <22%?

closed 2026-10-28 · volume $1.9K · 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(2026, 10, 29, tzinfo=timezone.utc) result = client.backtest( MyStrategy(), "vrt-kpis", after=end - timedelta(days=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 Vertiv (VRT) markets are in the archive?

5 markets from October 22, 2026 through October 28, 2026, of which 5 have resolved.

What data exists for each Vertiv (VRT) market?

Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome. All of it is queryable by the series slug "vrt-kpis" through the API and Python SDK, or downloadable as Parquet.

How much does a typical Vertiv (VRT) market trade?

Average traded volume is $4.7K per market, $23.4K across the series.

Can I backtest strategies on Vertiv (VRT)?

Yes. Pass the slug "vrt-kpis" 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: 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

Pull Vertiv (VRT) 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