Foldable iPhone Announced Price?
A standalone Polymarket other event with 7 markets and $54.5K in lifetime traded volume. 7 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 5, 2026.
Data as of 2026-09-07
Top 5 of 7 markets
Will the first announced price of the foldable iPhone be at least $2,200?
closes 2026-10-01 · volume $11.8K · last price 45.0%
Will the first announced price of the foldable iPhone be at least $2,100?
closes 2026-10-01 · volume $6.3K · last price 72.5%
Will the first announced price of the foldable iPhone be at least $2,300?
closes 2026-10-01 · volume $1.5K · last price 15.0%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Foldable iPhone Announced Price", 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 "Foldable iPhone Announced Price"?
7 markets with full depth L2 order book history recorded since September 5, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Foldable iPhone Announced Price" traded on Polymarket?
$54.5K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Foldable iPhone Announced Price" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Foldable iPhone Announced Price", 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.
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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