Name: Kalshi Markets
Creator: Kalshi
License: https://creativecommons.org/licenses/by/4.0/

About this Dataset

Kalshi Markets

Kalshi prediction-market content modeled in three layers:

Series – a theme that groups related questions.
Event – a specific question template within a series (often adds time/scope).
Market – a tradable contract that targets one outcome/subject under an event.

Quick examples

Series	Event	Market (example)
Best Actor in a Motion Picture – Musical or Comedy	Golden Globe nominations for Best Actor (that category)	Will Leonardo DiCaprio be on the list of nominees at the 83rd Golden Globes?
Best Television Series – Drama	Golden Globe nominations for Best TV Series – Drama	Will The Last of Us be on the list of nominees at the 83rd Golden Globes?
#1 most searched on Google	#1 Searched Person on Google in 2025	Will Bianca Censori be ranked #1 (Global – People)?
ATP Tennis Match	Djokovic vs Borges	Will Novak Djokovic win the Djokovic vs Borges match?

Tables included

series — one row per series (theme).
events — one row per event, linked to its series.
markets — one row per tradable market with identifiers, status, timing, pricing and liquidity fields.
market_trades — executed trades (“ticks”) per market.

All timestamps are UTC. Fields with the suffix “_dollars” are USD-denominated counterparts when provided by the source.

Tables

Events

@kalshi.markets.events

11.29 MB
797,700 rows
11 columns

CREATE TABLE events (
  "event_ticker" VARCHAR,
  "series_ticker" VARCHAR,
  "sub_title" VARCHAR,
  "title" VARCHAR,
  "collateral_return_type" VARCHAR,
  "mutually_exclusive" BOOLEAN,
  "category" VARCHAR,
  "strike_date" TIMESTAMP,
  "strike_period" VARCHAR,
  "available_on_brokers" BOOLEAN,
  "product_metadata" VARCHAR
);

Markets

@kalshi.markets.markets

454.22 MB
6,392,936 rows
60 columns

CREATE TABLE markets (
  "ticker" VARCHAR,
  "event_ticker" VARCHAR,
  "series_ticker" VARCHAR,
  "market_type" VARCHAR,
  "title" VARCHAR,
  "subtitle" VARCHAR,
  "yes_sub_title" VARCHAR,
  "no_sub_title" VARCHAR,
  "open_time" VARCHAR,
  "close_time" VARCHAR,
  "expected_expiration_time" VARCHAR,
  "expiration_time" VARCHAR,
  "latest_expiration_time" VARCHAR,
  "fee_waiver_expiration_time" VARCHAR,
  "settlement_timer_seconds" VARCHAR,
  "status" VARCHAR,
  "response_price_units" VARCHAR,
  "yes_bid" VARCHAR,
  "yes_bid_dollars" VARCHAR,
  "yes_ask" VARCHAR,
  "yes_ask_dollars" VARCHAR,
  "no_bid" VARCHAR,
  "no_bid_dollars" VARCHAR,
  "no_ask" VARCHAR,
  "no_ask_dollars" VARCHAR,
  "last_price" VARCHAR,
  "last_price_dollars" VARCHAR,
  "volume" VARCHAR,
  "volume_24h" VARCHAR,
  "open_interest" VARCHAR,
  "liquidity" VARCHAR,
  "liquidity_dollars" VARCHAR,
  "result" VARCHAR,
  "can_close_early" VARCHAR,
  "notional_value" VARCHAR,
  "notional_value_dollars" VARCHAR,
  "settlement_value" VARCHAR,
  "settlement_value_dollars" VARCHAR,
  "expiration_value" VARCHAR,
  "previous_yes_bid" VARCHAR,
  "previous_yes_bid_dollars" VARCHAR,
  "previous_yes_ask" VARCHAR,
  "previous_yes_ask_dollars" VARCHAR,
  "previous_price" VARCHAR,
  "previous_price_dollars" VARCHAR,
  "risk_limit_cents" VARCHAR,
  "early_close_condition" VARCHAR,
  "tick_size" VARCHAR,
  "strike_type" VARCHAR,
  "floor_strike" VARCHAR,
  "cap_strike" VARCHAR,
  "custom_strike" VARCHAR,
  "rules_primary" VARCHAR,
  "rules_secondary" VARCHAR,
  "mve_collection_ticker" VARCHAR,
  "mve_selected_legs" VARCHAR,
  "mve_selected_legs_count" VARCHAR,
  "primary_participant_key" VARCHAR,
  "price_level_structure" VARCHAR,
  "price_ranges" VARCHAR
);

Market Trades

@kalshi.markets.market_trades

1.85 GB
64,764,415 rows
10 columns

CREATE TABLE market_trades (
  "trade_id" VARCHAR,
  "market_ticker" VARCHAR,
  "price" VARCHAR,
  "count" VARCHAR,
  "yes_price" VARCHAR,
  "no_price" VARCHAR,
  "yes_price_dollars" VARCHAR,
  "no_price_dollars" VARCHAR,
  "taker_side" VARCHAR,
  "created_time" VARCHAR
);

Series

@kalshi.markets.series

428.7 kB
7,121 rows
11 columns

CREATE TABLE series (
  "series_ticker" VARCHAR,
  "frequency" VARCHAR,
  "title" VARCHAR,
  "category" VARCHAR,
  "tags" VARCHAR,
  "settlement_sources" VARCHAR,
  "contract_url" VARCHAR,
  "contract_terms_url" VARCHAR,
  "fee_type" VARCHAR,
  "fee_multiplier" DOUBLE,
  "additional_prohibitions" VARCHAR
);