KXKPOWMIDHKalshiElectionsHourly1 open on Nov 3

KPOW Midterms Hourly odds & historical data

KPOW Midterms Hourly price history on Kalshi: 18 markets, every order book change and trade, as daily Parquet files.

Example market: Will KPOW Midterms be above -20.0 at 8:00 PM EDT on Oct 31, 2026?

Sample: Nov 1 Get this data

11 rows18 markets36.8 KB4 datasets, full order book includedUpdated daily

Datasets

One file per dataset per UTC day. Data dictionary · Hourly coverage

Dataset	What it holds	Plan	Sample
Order book (L2, incremental) book_l2	Every price level and every change to the YES and NO bid books. Snapshot rows set a level; delta rows add to it. 9 columns ts_recvtimestamp[ns, UTC] ts_venuetimestamp[ns, UTC] tickerstring seriesstring seqint64 is_snapshotbool sidestring pricefloat64 sizefloat64	Full book	SampleParquet·CSV
Order book snapshots (top 10, 1 second) book_snap_1s	The top ten YES bid and ask levels at the end of every second in which the book changed. 43 columns tstimestamp[ns, UTC] tickerstring seriesstring bid_px_0float64 bid_px_1float64 bid_px_2float64 bid_px_3float64 bid_px_4float64 bid_px_5float64 bid_px_6float64 bid_px_7float64 bid_px_8float64 bid_px_9float64 bid_sz_0float64 bid_sz_1float64 bid_sz_2float64 bid_sz_3float64 bid_sz_4float64 bid_sz_5float64 bid_sz_6float64 bid_sz_7float64 bid_sz_8float64 bid_sz_9float64 ask_px_0float64 ask_px_1float64 ask_px_2float64 ask_px_3float64 ask_px_4float64 ask_px_5float64 ask_px_6float64 ask_px_7float64 ask_px_8float64 ask_px_9float64 ask_sz_0float64 ask_sz_1float64 ask_sz_2float64 ask_sz_3float64 ask_sz_4float64 ask_sz_5float64 ask_sz_6float64 ask_sz_7float64 ask_sz_8float64 ask_sz_9float64	Research	SampleParquet·CSV
Markets (point-in-time universe) markets	One row per market open at any time during the day: terms, strikes, times, tick size, rules, fees, and outcome. 22 columns tickerstring event_tickerstring seriesstring titlestring yes_sub_titlestring categorystring market_typestring statusstring resultstring open_tstimestamp[ns, UTC] close_tstimestamp[ns, UTC] expected_expiration_tstimestamp[ns, UTC] floor_strikefloat64 cap_strikefloat64 strike_typestring tick_structurestring price_rangesstring can_close_earlybool fee_typestring fee_multiplierfloat64 rules_primarystring rules_secondarystring	Explorer	SampleParquet·CSV
Settlements settlements	Every market that settled during the day: result, settlement value, the underlying value it settled on, and when. 15 columns tickerstring event_tickerstring seriesstring categorystring resultstring settlement_valuefloat64 expiration_valuestring close_tstimestamp[ns, UTC] settlement_tstimestamp[ns, UTC] ts_recvtimestamp[ns, UTC] floor_strikefloat64 cap_strikefloat64 strike_typestring coin_price_startfloat64 coin_price_endfloat64	Explorer	SampleParquet·CSV

Use it in code

API docs · MCP server · Backtest guide · Historical data guide

# pip install "kalshieye[pandas]"
from kalshieye import Client

kx = Client()  # reads KALSHIEYE_API_KEY
df = kx.load("book_l2", "2026-11-01", "2026-11-01", series="KXKPOWMIDH")

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