Total commitments for the Jumper ($JUMP) public sale on LegionPolymarket historical data and price history
Total commitments for the Jumper ($JUMP) public sale on Legion: a standalone Polymarket crypto event with 8 markets and $150.8K in lifetime traded volume. 5 markets have resolved and 3 are still trading. Marketlens records every market's order book at full depth, coverage running since September 30, 2026.
Data as of 2026-10-05
Top 5 of 8 markets
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Total commitments for the Jumper ($JUMP) public sale on Legion", 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 "Total commitments for the Jumper ($JUMP) public sale on Legion"?
8 markets with full depth L2 order book history recorded since September 30, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Total commitments for the Jumper ($JUMP) public sale on Legion" traded on Polymarket?
$150.8K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Total commitments for the Jumper ($JUMP) public sale on Legion" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Total commitments for the Jumper ($JUMP) public sale on Legion", 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: 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 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens