Check the Setup
- Python 3.10 or newer
- A notebook environment such as Jupyter or Google Colab
- An internet connection
Microproduct Data GuideIntermediate
Kalshi Public Market Data
Live and historical event-contract markets, prices, volume, and order books for building market monitors, alerts, and comparison tools.
Report a ProblemAt a Glance
- Difficulty
- Intermediate — some data preparation helps
- Size
- Medium · ≤1 GB
- Formats
- JSON, API
- Access
- API
- API Key
- Not Required
- Provider
- Kalshi
- Updates
- Continuous
- Last Verified
- Aug 11, 2026
- Source Type
- Company Source
- Data Terms
- Kalshi API Developer Agreement
- Python Syntax Checked
From Source to Product Signal
Test a Product Idea in Four Steps
Kalshi exposes public event, market, trade, and order-book data without authentication. Start with one bounded page of open markets and record when you retrieved it. Treat prices as changing market signals, and compare contracts only after checking that their resolution rules match.
Access the Data
- 1.Read the market-data quick start and API Developer Agreement.
- 2.Request one bounded page of open markets from the public REST API.
- 3.Save the retrieval time and the market tickers used in your analysis.
3
Run the Python Example
Install the packages, then run the notebook cell.
python -m pip install pandas requests
from datetime import datetime, timezone
import pandas as pd
import requests
response = requests.get(
"https://external-api.kalshi.com/trade-api/v2/markets",
params={"limit": 100, "status": "open"},
timeout=30,
)
response.raise_for_status()
markets = pd.json_normalize(response.json()["markets"])
markets["retrieved_at"] = datetime.now(timezone.utc)
print(markets[["ticker", "title", "yes_bid_dollars", "volume_fp"]].head())4
Test a Useful Signal
Find Active Markets Worth Monitoring
Identify liquid open markets whose price changes could support a useful event alert.
- 01Convert price, volume, and liquidity fields to numeric values and inspect missing data.
- 02Rank markets by trading activity and flag large differences between bid and ask prices.
- 03Read the rules for the leading contracts and explain why their prices should not be treated as guaranteed probabilities.
Dataset Details
Kalshi is a company source. Last verified 2026-08-11. Temporal coverage: current and historical markets.
Theme
Data Types
Geography
Provider
Kalshi
Data Terms
Kalshi API Developer Agreement