Hyperliquid airdrop by ....?

A standalone Polymarket crypto event with 3 markets and $192.7K in lifetime traded volume. 3 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 7, 2026.

Data as of 2026-09-11

Markets
3
Resolved
0
Traded volume
$192.7K
Collected since
2026-09-07

Markets in this event

Will Hyperliquid perform an airdrop by December 31, 2027?

closes 2028-01-01 · volume $3.1K · last price 39.0%

Will Hyperliquid perform an airdrop by June 30, 2027?

closes 2027-07-01 · volume $1.6K · last price 28.0%

Will Hyperliquid perform an airdrop by December 31, 2026?

closes null · volume $188.0K · last price 14.0%

Query this event

python
from marketlens import MarketLens client = MarketLens() [event] = client.events.list(q="Hyperliquid airdrop 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="2026-08-16T12:00:00Z") print(book.midpoint, book.bid_depth, book.ask_depth)

Common questions

What data does Marketlens have for "Hyperliquid airdrop by ...."?

3 markets with full depth L2 order book history recorded since September 7, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.

How much has "Hyperliquid airdrop by ...." traded on Polymarket?

$192.7K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.

How do I download "Hyperliquid airdrop by ...." data?

Query it through the REST API or the Python SDK (pip install marketlens): search events for "Hyperliquid airdrop by ....", 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