Manchester City punishment announced by...?Polymarket historical data and price history
Manchester City punishment announced by: a standalone Polymarket sports event with 5 markets and $50.0K in lifetime traded volume. 1 markets have resolved and 4 are still trading. Marketlens records every market's order book at full depth, coverage running since October 20, 2026.
Data as of 2026-10-26
Markets in this event
Manchester City punishment announced by December 18?
closes 2026-12-19 · volume $11.6K · last price 21.5%
Manchester City punishment announced by December 4?
closes 2026-12-05 · volume $11.4K · last price 17.5%
Manchester City punishment announced by November 20?
closes 2026-11-21 · volume $13.4K · last price 14.5%
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Manchester City punishment announced by", take=1)
for market in client.events.markets(event.id, take=5):
print(market.question, market.outcomes[0].last_price)
# the order book behind any market, at any past moment
book = client.orderbook.get(market.id, at=datetime.now(timezone.utc) - timedelta(days=2))
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "Manchester City punishment announced by"?
5 markets with full depth L2 order book history recorded since October 20, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Manchester City punishment announced by" traded on Polymarket?
$50.0K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Manchester City punishment announced by" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Manchester City punishment announced by", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work; the free tier reads markets open in the last 7 days and Pro the full archive.
Related events: F1 Drivers' Champion, Pro Football: 2027 Champion, Ballon d'Or Winner 2026, or the full event list.
Try it
Pull this event's 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