GPT Astra 6.1+: HLE-Diamond Debut?Polymarket historical data and price history
GPT Astra 6.1+: HLE-Diamond Debut: a standalone Polymarket other event with 4 markets and $63.0K in lifetime traded volume. 4 markets are trading. Marketlens records every market's order book at full depth, coverage running since October 22, 2026.
Data as of 2026-10-26
Markets in this event
Will GPT Astra 6.1+ debut with an HLE-Diamond score of 65% or higher?
closes 2027-07-01 · volume $15.6K · last price 47.5%
Will GPT Astra 6.1+ debut with an HLE-Diamond score of 70% or higher?
closes 2027-07-01 · volume $15.7K · last price 27.5%
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="GPT Astra 6.1+: HLE-Diamond Debut", 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 "GPT Astra 6.1+: HLE-Diamond Debut"?
4 markets with full depth L2 order book history recorded since October 22, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "GPT Astra 6.1+: HLE-Diamond Debut" traded on Polymarket?
$63.0K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "GPT Astra 6.1+: HLE-Diamond Debut" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "GPT Astra 6.1+: HLE-Diamond Debut", 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: Which companies will be acquired before 2027?, Will the Tesla Roadster's 0-60 time be less than 1 second?, Anthropic IPO by __?, 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