thomaswmitch/kalshi-prediction-markets-markets

Kalshi Prediction Markets — Markets Metadata & Quotes

Per-market snapshot data for Kalshi markets spanning Aug 2023–Aug 2025. Includes tickers, lifecycle timestamps, status/result fields, rules, liquidity/open interest, and top-of-book quotes (YES/NO bid/ask + last/previous prices) with integer and dollar-scaled variants.

Rows: ~10,016 markets (single split) Schema stability: stable Privacy: public market metadata

Dataset Structure

Split

• —train — one row per market snapshot/record

Feature Schema

Identifiers & Types

• —ticker (string) — contract/series symbol (unique at market level)
• —event_ticker (string) — parent event symbol
• —market_type (string) — exchange-defined market class/category
• —category (float64) — numeric category code (if provided by source)

Lifecycle Timestamps (UTC ISO-8601 strings)

• —open_time, close_time — scheduled open/close
• —expected_expiration_time, latest_expiration_time, expiration_time — scheduled/updated/actual
• —settlement_timer_seconds (int64) — post-close timer threshold before settlement

Status & Outcome

• —status (string) — e.g., open, closed, settled, void
• —result (string) — exchange outcome label (e.g., yes/no/void)
• —expiration_value (string) — exchange’s reported expiration value (if applicable)
• —settlement_value (int64), settlement_value_dollars (float64) — outcome value in ticks and dollars
• —can_close_early (bool) — true if early close conditions may trigger

Top-of-Book Quotes (YES/NO)

• —YES: yes_bid, yes_ask, yes_bid_dollars, yes_ask_dollars
• —NO: no_bid, no_ask, no_bid_dollars, no_ask_dollars
• —Last/Previous trade marks:
• —last_price, last_price_dollars
• —previous_price, previous_price_dollars
• —previous_yes_bid, previous_yes_ask, previous_yes_bid_dollars, previous_yes_ask_dollars

Liquidity & Activity

• —volume (int64) — all-time volume (units/contracts)
• —volume_24h (int64) — trailing 24-hour volume
• —open_interest (int64)
• —liquidity (int64), liquidity_dollars (float64) — exchange-reported liquidity metric

Economic/Units

• —response_price_units (string) — price unit label (e.g., cents)
• —notional_value (int64), notional_value_dollars (float64) — notional at market level
• —risk_limit_cents (int64) — per-market risk limit

Strikes & Rules

• —strike_type (string) — e.g., none, custom, range
• —custom_strike (string) — custom strike text/number if applicable
• —tick_size (int64) — price tick increment (in integer units)
• —floor_strike, cap_strike (float64) — lower/upper bound for ranged strikes
• —rules_primary, rules_secondary, early_close_condition (string) — market resolution rules and early-close logic
• —title, subtitle, yes_sub_title, no_sub_title (string) — display text

Units: Integer price fields are “ticks” (typically cents). The *_dollars columns are already scaled to USD floats.

Usage

Load with datasets

from datasets import load_dataset

ds = load_dataset("thomaswmitch/kalshi-prediction-markets")  # update if your repo name differs
print(ds)
print(ds["train"].features)