metadata
license: cc-by-4.0
task_categories:
- tabular-classification
- time-series-forecasting
tags:
- prediction-markets
- kalshi
- finance
- trading
- event-contracts
size_categories:
- 100M<n<1B
Kalshi Prediction Market Trades & Markets
Complete public trade-level and market-level data from Kalshi, the first CFTC-regulated prediction market exchange in the United States.
Dataset Summary
| Count | Timespan | |
|---|---|---|
| Trades | 154,505,005 | June 2021 – January 2026 |
| Markets | 17,464,713 | June 2021 – January 2026 |
| Events | 4,721,915 | |
| Total contracts traded | 34.6 billion |
Data Files
trades/
16 parquet shards (~10M rows each), sorted by created_time.
| Column | Type | Description |
|---|---|---|
trade_id |
string | Unique trade identifier |
ticker |
string | Market ticker (joins to markets.ticker) |
count |
int64 | Number of contracts in the trade |
yes_price |
int64 | Price of YES contracts (1–99 cents) |
no_price |
int64 | Price of NO contracts (1–99 cents) |
taker_side |
string | Side the taker bought: yes or no |
created_time |
timestamp[us, UTC] | When the trade occurred |
markets/
4 parquet shards (~5M rows each).
| Column | Type | Description |
|---|---|---|
ticker |
string | Unique market ticker |
event_ticker |
string | Parent event ticker (groups related markets) |
market_type |
string | Market type (e.g. binary) |
title |
string | Human-readable market title |
yes_sub_title |
string | Label for the YES side |
no_sub_title |
string | Label for the NO side |
status |
string | Market status: settled, closed, active, etc. |
yes_bid |
int64 | Best YES bid at time of fetch |
yes_ask |
int64 | Best YES ask at time of fetch |
no_bid |
int64 | Best NO bid at time of fetch |
no_ask |
int64 | Best NO ask at time of fetch |
last_price |
int64 | Last traded price |
volume |
int64 | Lifetime volume (contracts) |
volume_24h |
int64 | 24-hour volume |
open_interest |
int64 | Open interest |
result |
string | Resolution: yes, no, or empty if unresolved |
created_time |
timestamp | When the market was created |
open_time |
timestamp | When the market opened for trading |
close_time |
timestamp | When the market closed |
Usage
from datasets import load_dataset
ds = load_dataset("TrevorJS/kalshi-trades")
# or with DuckDB
import duckdb
con = duckdb.connect()
con.execute("SELECT * FROM 'hf://datasets/TrevorJS/kalshi-trades/trades/*.parquet' LIMIT 10")
Data Quality
- 0 duplicate trades (21,950 duplicates removed during cleaning)
- 0 null trade IDs or prices
- 100% trade-to-market join coverage (64 orphan tickers with no API-available market record were removed; 1,258 trades dropped, <0.001% of dataset)
- All timestamps are UTC
Provenance
Trade data was collected from the Kalshi public API. Market metadata was backfilled using the /markets batch ticker endpoint. The dataset combines data originally collected by Andrew Becker (June 2021 – November 2025) with an incremental update through January 2026.
Acknowledgments
- Andrew Becker for the original
kalshi_tradesdataset and collection infrastructure - Kalshi for providing a public API
License
CC-BY-4.0