LAPTOP listed on ___ within 30 days of TGE?
A standalone Polymarket crypto event with 5 markets and $62.8K in lifetime traded volume. 5 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 10, 2026.
Data as of 2026-09-11
Markets in this event
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="LAPTOP listed on ___ within 30 days of TGE", 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="2026-08-16T12:00:00Z")
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "LAPTOP listed on ___ within 30 days of TGE"?
5 markets with full depth L2 order book history recorded since September 10, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "LAPTOP listed on ___ within 30 days of TGE" traded on Polymarket?
$62.8K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "LAPTOP listed on ___ within 30 days of TGE" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "LAPTOP listed on ___ within 30 days of TGE", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work, and the free tier includes 25M rows per day.
Related events: Clarity Act (H.R.3633) signed into law in 2026?, Opensea FDV above ___ one day after launch?, Predict.fun FDV above ___ one day after launch?, or the full event list.
Try it
Pull this event's books in one call
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens