KBOPolymarket historical data and price history

KBO: a Polymarket sports series with markets recurring daily. Marketlens has captured 2 markets since October 4, 2026, of which 1 resolved, with $102.9K in traded volume. Order books are stored at full depth, with every individual price change captured at millisecond resolution on the most actively traded markets, alongside trades, candles, and the final resolution outcome.

For the sports archive as a whole, see Polymarket sports odds history.

Data as of 2026-10-12 · Polymarket series KBO · slug kbo

Markets
3
Resolved
1
Traded volume
$102.9K
Avg volume / market
$34.3K
Cadence
daily
Coverage from
2026-10-04
Data through
now
Category
Sports

Markets in this series

KBO: KT Wiz vs. Hanwha Eagles

closes 2026-09-23 · volume $65.4K · active

KBO: Kia Tigers vs. LG Twins

closed 2026-10-11 · volume $19.1K · resolved Kia Tigers

KBO: Lotte Giants vs. Kia Tigers

closes 2026-10-18 · volume $18.4K · active

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(), "kbo", after=end - timedelta(minutes=15), 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 KBO markets are in the archive?

2 markets from October 4, 2026 through now, of which 1 have resolved and 2 are active.

What data exists for each KBO market?

Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome, with the full price change stream at millisecond resolution on the most actively traded markets in the series. All of it is queryable by the series slug "kbo" through the API and Python SDK, or downloadable as Parquet.

How much does a typical KBO market trade?

Average traded volume is $34.3K per market, $102.9K across the series.

Can I backtest strategies on KBO?

Yes. Pass the slug "kbo" 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: FIFA World Cup, ATP, MLB, WTA, NFL 2026, Premier League 2025, or all sports series.

Try it

Pull KBO 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