Dunedata is a real-time data tracking dashboard on the Dune analytics platform that helps analysts, traders, and researchers monitor prediction markets by visualizing key metrics like notional volume, unique users, and open interest across various platforms and contract categories.
About Dunedata
What is Dunedata?
Dunedata is a specialized data tracking system hosted on the Dune analytics platform. It functions as a central dashboard that monitors and records real-time metrics for various prediction markets.
This tracking tool gathers large amounts of market statistics from top prediction platforms such as Polymarket, Kalshi, Predict.fun, Limitless, and Opinion. By using this dashboard, users can view exact numbers for total notional volume, active unique users, daily transactions, and open interest across the entire industry.
Who is it for?
This data analytics tool is designed for anyone who wants to study prediction market trends. It is highly useful for several types of users:
- Market Analysts: Professionals who need to research trading volume, platform market share, and ecosystem growth over weekly and monthly periods.
- Crypto Traders: Individuals tracking blockchain data to find active trading opportunities and see where market capital is moving.
- Data Researchers: People examining user behavior across different forecasting categories like politics, sports, crypto, economics, and science.
Whether you are comparing the daily active users or looking at the total value locked inside different forecasting platforms, the dashboard gives a clear and accurate market overview.
How it works?
The system works by connecting to platform APIs and blockchain networks to pull raw statistics. It then organizes this complex trading activity into simple visual charts that are updated frequently throughout the day.
When you open the dashboard, you can see data presented clearly through area graphs and column charts. The tracking system sorts the information using these key methods:
- Time Filters: The dashboard automatically groups transaction data by daily, weekly, and monthly periods so users can spot long-term market trends.
- Contract Categories: Open interest and trade volumes are split into specific topics such as elections, weather, culture, health, and tech.
- Platform Grouping: Major forecasting platforms show their exact individual metrics, while smaller projects are often combined into an "Other" category to keep the visual layout clean and easy to read.
Because the dashboard processes massive amounts of historical data in the background, users can instantly read the results without needing to write any complex database queries themselves.
