3rd Largest CompanyPolymarket historical data and price history
3rd Largest Company: a Polymarket economy series with markets recurring monthly. Marketlens has captured 26 markets since August 18, 2026, of which 58 resolved, with $687.2K 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 economy archive as a whole, see Polymarket price history.
Data as of 2026-10-19 · Polymarket series 3rd largest company · slug 3rd-largest-company
Resolution outcomes
Outcomes across 58 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 87 markets.
Backtest this series
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(), "3rd-largest-company",
after=end - timedelta(hours=1), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many 3rd Largest Company markets are in the archive?
26 markets from August 18, 2026 through now, of which 58 have resolved and 9 are active.
What data exists for each 3rd Largest Company 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 "3rd-largest-company" through the API and Python SDK, or downloadable as Parquet.
How often do 3rd Largest Company markets resolve No?
Of 58 resolved markets with a recorded outcome, 56 resolved No (96.6%) and 2 resolved Yes.
How much does a typical 3rd Largest Company market trade?
Average traded volume is $7.9K per market, $687.2K across the series.
Can I backtest strategies on 3rd Largest Company?
Yes. Pass the slug "3rd-largest-company" 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, Largest Company, Fed rate hike, US Annual Inflation, Bank of Japan Decision, ECB Interest Rates, or all economy series.
Try it
Pull 3rd Largest Company books in one call
The free tier includes 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens