Next Fable Model (5.2+) released on...?Polymarket historical data and price history
Next Fable Model (5.2+) released on: a standalone Polymarket other event with 20 markets and $142.9K in lifetime traded volume. 5 markets have resolved and 15 are still trading. Marketlens records every market's order book at full depth, coverage running since October 13, 2026.
Data as of 2026-10-19
Top 5 of 20 markets
Will the next Fable model (5.2+) be released on October 20, 2026?
closes 2026-10-21 · volume $17.1K · last price 30.1%
Will the next Fable model (5.2+) be released on October 22, 2026?
closes 2026-10-23 · volume $13.5K · last price 21.1%
Will there be no next Fable model (5.2+) release by October 31, 2026?
closes 2026-11-01 · volume $41.5K · last price 14.8%
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Next Fable Model (5.2+) released on", 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 "Next Fable Model (5.2+) released on"?
20 markets with full depth L2 order book history recorded since October 13, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Next Fable Model (5.2+) released on" traded on Polymarket?
$142.9K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Next Fable Model (5.2+) released on" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Next Fable Model (5.2+) released on", 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.
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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