Events

The common.predictions.kalshi_events table provides event-level metadata for Kalshi prediction markets. Events serve as containers that group related markets together. This table combines both settled and non-settled events. Use this table for event categorization, series analysis, understanding multi-market events, and tracking event-level patterns.

Table Columns

Data Notes:

Events group multiple related markets together
Combines settled and non-settled events
MVE (Multi-Variable Event) indicators help identify complex event structures

Unique Key: event_ticker

Column Name	Data Type	Description
project	VARCHAR	Project identifier, always ‘kalshi’.
protocol	VARCHAR	Protocol identifier, always ‘kalshi’.
event_ticker	VARCHAR	Unique event identifier.
series_ticker	VARCHAR	Series ticker identifier grouping similar events.
category	VARCHAR	Category classification.
title	VARCHAR	Event title.
sub_title	VARCHAR	Event subtitle (MVE indicator).
mutually_exclusive	BOOLEAN	Boolean flag indicating if event outcomes are mutually exclusive.
strike_period	VARCHAR	Strike period for the event.
strike_date	TIMESTAMP_NTZ(9)	Strike date for the event.
available_on_brokers	BOOLEAN	Boolean flag indicating if available on brokers.
collateral_return_type	VARCHAR	Type of collateral return.
is_settled	BOOLEAN	Boolean flag indicating if the event is settled.

Understanding Event Structure

Event vs Market

Event: A container grouping related prediction markets (e.g., “2024 Presidential Election”)
Market: Individual prediction markets within an event (e.g., “Will Trump win?”, “Will Biden win?”)
One event can have multiple markets, all sharing the same event_ticker

Series Ticker

The series_ticker groups similar events across time. For example:

NFL-WEEK1, NFL-WEEK2, NFL-WEEK3 all belong to the NFL series
ECON-JOBS might represent monthly employment report events

Overview

Data Verticals

Solana

Hyperliquid

Lighter

Bitcoin Ecosystem

EVM

Cosmos Ecosystem

Move Ecosystem

Other Ecosystems

Table Columns

Understanding Event Structure

Event vs Market

Series Ticker

​Table Columns

​Understanding Event Structure

​Event vs Market

​Series Ticker

Table Columns

Understanding Event Structure

Event vs Market

Series Ticker