Polymarket indices markets
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.
This page lists the indices series in the catalog. For what the indices archive holds and how to pull it, see Polymarket price history.
Data as of 2026-11-02
All indices series
S&P 500 (SPX) Up or Down
daily · 165 markets · $19.3M
S&P 500 (SPX) Opens Up or Down
daily · 165 markets · $14.1M
Dow Jones (DJIA) Up or Down
daily · 165 markets · $1.4M
Russell 2000 Daily Up or Down
daily · 164 markets · $584.7K
Hang Seng (HSI) Up or Down
daily · 165 markets · $493.3K
Nikkei 225 (NIK) Up or Down
daily · 163 markets · $366.1K
Nasdaq 100 (NDX) Up or Down
daily · 41 markets · $361.8K
NYA (NYA) Up or Down
daily · 165 markets · $140.2K
FTSE 100 (UKX) Up or Down
daily · 165 markets · $108.2K
DAX (DAX) Up or Down
daily · 165 markets · $89.9K
Flávio Bolsonaro charged or arrested by Brazilian authorities
monthly · 1 markets · $32.7K
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-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 1,524 indices markets across 11 recurring series, of which 1,515 have resolved. Coverage runs from March 2, 2026 through now.
What data is available for each indices market?
Most markets have full L2 order book history (snapshots plus every price change with millisecond timestamps), trades, and candles; the longest dated books carry full depth snapshots at regular intervals alongside their trades and candles. Every market stores 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 $37.0M. 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 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens