Data Store / Weather Market Order Books

Weather Market Order Books

WeatherOrder books1-second tick

New category

We’re actively logging every daily weather market worldwide. Prices are discounted while we build out this new data category, with fresh cities and markets added every week.

Full-depth, 1-second Polymarket order books for the daily high/low-temperature markets across US and European cities. One folder per city-day — the complete book from listing (~24h before open) through to resolution. Replay the book at any instant to backtest temperature-distribution and forecast-edge strategies.

Build your dataset

Browse by continent, country and city, and pick exactly the cities you want. Your selection’s market count and price update as you go.

336 markets · 49 cities · 30 countriesMore markets added weekly

Select cities to build your dataset

How these markets move

Each daily market has many temperature-band outcomes — every band is a live, priced option and only one resolves. Pick a shape to see how the full-depth book behaves across the session (illustrative).

Early, the book is spread across many temperature bands — real uncertainty about the day’s high. As the morning reads come in, liquidity converges on a single band and the rest bleed toward zero. Every band is still a live, priced option the whole way down.

Example marketNYC daily high temp · illustrative

≤71° 72–74° 75–77° 78–80° 81–83° 84–86° 87–89° 90°+ Order-book depthPrice in ¢ (0–100)

What’s inside

Every row is one outcome token per second. Columns in each file:

Field	Type	Description
`ts_ms`	int	Snapshot time (epoch ms)
`condition_id`	str	Polymarket market id
`token_id`	str	CLOB asset id (YES or NO)
`outcome`	str	"YES" or "NO"
`market_slug`	str	Per-market slug
`question`	str	Market question
`end_date_iso`	str	Resolution deadline
`tick_size`	float	Min price increment
`best_bid`	float	Top-of-book bid
`best_bid_size`	float	Size at best bid
`best_ask`	float	Top-of-book ask
`best_ask_size`	float	Size at best ask
`mid`	float	(bid+ask)/2, share price
`spread`	float	best_ask − best_bid
`bid_levels`	array<{p,s}>	Full bid book (desc)
`ask_levels`	array<{p,s}>	Full ask book (asc)
`bid_n_levels`	int	Bid level count
`ask_n_levels`	int	Ask level count
`bid_total_size`	float	Sum of bid sizes
`ask_total_size`	float	Sum of ask sizes
`last_trade_price`	float?	Most recent trade price
`last_trade_ts_ms`	int	Last trade timestamp
`trades_count_window`	int	Trades since last snapshot
`trades_volume_window`	float	Shares since last snapshot
`book_ts_ms`	int	Server book timestamp
`book_hash`	str	Book version hash