Polymarket equities markets

Polymarket lists a market for most notable US earnings reports each quarter: will the company beat consensus estimates? Each ticker gets its own series, and each report is one market with a binary Yes or No resolution once results are out.

These markets are small individually but useful in aggregate: they put a live, tradeable probability on every earnings event, and the resolved outcomes are a scored dataset of what the crowd expected versus what happened. Marketlens records the order book for each market and stores the final resolution, per ticker, per quarter.

This page lists the equities series in the catalog. For what the equities archive holds and how to pull it, see Polymarket price history.

Data as of 2026-09-21

Series
96
Markets
13,362
Resolved
12,647
Traded volume
$10.1M

All equities series

What will S&P 500 (SPX) hit

monthly · 26 markets · $1.4M

SPY (SPY) Up or Down

daily · 119 markets · $1.4M

What will S&P 500 (SPY) hit (Weekly)

weekly · 373 markets · $478.4K

What will Meta Platforms, Inc. (META) hit (Monthly)

monthly · 103 markets · $426.9K

What will Palantir Technologies Inc. (PLTR) hit (Monthly)

monthly · 120 markets · $316.7K

(SPY) hit Month

monthly · 27 markets · $289.0K

Opendoor (OPEN) closes

weekly · 286 markets · $276.0K

What will Apple (AAPL) hit (Monthly)

monthly · 110 markets · $270.4K

What will Microsoft Corporation (MSFT) hit (Monthly)

monthly · 113 markets · $242.8K

What will Opendoor Technologies Inc. (OPEN) hit (Monthly)

monthly · 84 markets · $236.1K

What will Airbnb, Inc. (ABNB) hit (Monthly)

monthly · 124 markets · $232.1K

What will Airbnb, Inc. (ABNB) hit (Weekly)

weekly · 399 markets · $227.9K

What will NVIDIA (NVDA) hit

weekly · 386 markets · $214.6K

Netflix (NFLX) closes

weekly · 289 markets · $191.6K

What will Amazon.com, Inc. (AMZN) hit

weekly · 382 markets · $167.4K

1 to 15 of 96

Query this category

python
from marketlens import MarketLens client = MarketLens() for market in client.markets.list(category="Equities", 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="sp-500-monthly-hit", 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 equities markets does Marketlens have data for?

The archive covers 13,362 equities markets across 96 recurring series, of which 12,647 have resolved. Coverage runs from March 1, 2026 through September 21, 2026.

What data is available for each equities 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 $10.1M. Per series volumes are listed in the table on this page.

Can I backtest strategies on equities 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 equities books in one call

The free tier includes 1M rows per day with full API and full archive access, no card required.

bash
$ pip install marketlens