Polymarket indices historical data
Polymarket lists recurring markets on major equity index levels: where the S&P 500 or Nasdaq will close, in strike buckets over daily and weekly horizons.
Marketlens records the complete order book for each, which is a rare view of retail index sentiment expressed as tradeable probabilities rather than survey answers.
Data as of 2026-08-16
All indices series
SPX Open Daily Up or Down
daily · 111 markets · $3.0M
SPX Daily Up or Down
daily · 111 markets · $2.5M
Russell 2000 Daily Up or Down
daily · 110 markets · $237.9K
Dow Jones Daily Up or Down
daily · 111 markets · $126.8K
NDX Daily Up or Down
daily · 41 markets · $97.4K
Hang Seng Daily Up or Down
daily · 111 markets · $87.5K
NIK Daily Up or Down
daily · 109 markets · $72.4K
NYA
daily · 111 markets · $61.6K
DAX Daily Up or Down
daily · 111 markets · $58.7K
FTSE 100 Daily Up or Down
daily · 111 markets · $43.4K
Query this category
from marketlens import MarketLens
client = MarketLens()
for market in client.markets.list(category="Indices", status="resolved", take=50):
print(market.question, market.winning_outcome)
# the order book of any market, at any moment of its life
[market] = client.markets.list(
series_id="spx-open-daily-up-or-down", status="resolved", take=1,
)
book = client.orderbook.get(market.id, at=market.close_time)
print(book.best_bid, book.best_ask, book.midpoint)Common questions
How many Polymarket indices markets does Marketlens have data for?
The archive covers 1,037 indices markets across 10 recurring series, of which 1,028 have resolved. Coverage runs from March 2, 2026 through August 14, 2026.
What data is available for each indices market?
Every market has full L2 order book history (snapshots plus every price change with millisecond timestamps), trades, candles, and its final resolution outcome. Data is served through the REST API and Python SDK, with bulk Parquet exports for offline work.
How much do these markets trade?
Combined traded volume across the category is $6.3M. Per series volumes are listed in the table on this page.
Can I backtest strategies on indices markets?
Yes. Pass any series slug from this page to client.backtest() in the Python SDK. Execution mode replays the order books tick by tick and fills simulated orders against real depth with queue priority, latency, and fee modelling; Alpha mode replays one bar per market for slower signals over long windows.
Other categories: crypto, sports, weather, or the full catalog.
Try it
Pull indices books in one call
The free tier includes 5M rows per day with full API and full archive access, no card required.
$ pip install marketlens