What price will $LAPTOP hit in September?

A standalone Polymarket crypto event with 9 markets and $66.5K in lifetime traded volume. 1 markets have resolved and 8 are still trading. Marketlens records every market's order book at full depth, coverage running since September 10, 2026.

Data as of 2026-09-11

Markets
9
Resolved
1
Traded volume
$66.5K
Collected since
2026-09-10

Top 5 of 9 markets

Will $LAPTOP dip to $0.10 by September 30, 2026?

closes 2026-10-01 · volume $4.2K · last price 52.5%

Will $LAPTOP dip to $0.05 by September 30, 2026?

closes 2026-10-01 · volume $8.3K · last price 25.0%

Will $LAPTOP reach $20 by September 30, 2026?

closes 2026-10-01 · volume $2.5K · last price 19.9%

Will $LAPTOP dip to $0.25 by September 30, 2026?

closes 2026-10-01 · volume $2.3K · last price 92.0%

Will $LAPTOP reach $3.50 by September 30, 2026?

closes 2026-10-01 · volume $8.9K · last price 1.5%

Query this event

python
from marketlens import MarketLens client = MarketLens() [event] = client.events.list(q="What price will $LAPTOP hit in September", 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 "What price will $LAPTOP hit in September"?

9 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 "What price will $LAPTOP hit in September" traded on Polymarket?

$66.5K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.

How do I download "What price will $LAPTOP hit in September" data?

Query it through the REST API or the Python SDK (pip install marketlens): search events for "What price will $LAPTOP hit in September", 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.

bash
$ pip install marketlens