Primary workflow
Alphascope: Open a market, inspect current odds, forecasts, news, and related outcomes.
Dune Analytics: Write SQL, build dashboards, query history, or export data through app, API, and Datashare products.
Data freshness
Alphascope: Designed around current market and news research.
Dune Analytics: Dune documents roughly 24-hour refresh for its curated prediction-market datasets.
Granularity
Alphascope: Opinionated end-user context rather than arbitrary SQL access.
Dune Analytics: Polymarket trade, price, market, and position tables; Kalshi public reports and enterprise datasets with differing granularity.
Skill requirement
Alphascope: No SQL needed for normal use.
Dune Analytics: SQL and data-model knowledge are useful for custom analysis; prebuilt dashboards reduce the barrier.
Dune's prediction-market datasets
Dune documents curated Polymarket and Kalshi coverage accessible through its app, API, or Datashare. Polymarket tables include trade-level activity, market details, positions, and hourly or daily price series. Kalshi open tables include market and daily aggregated trade reports.
The sources and granularity differ. Dune decodes Polymarket contracts and enriches them with market metadata, while Kalshi's public reporting is offchain and aggregated. Enterprise offerings add more unified and detailed history.
Historical analytics, not an executable quote
Dune says its curated prediction data refreshes about every 24 hours. That is suitable for volume research, wallet behavior, historical probability series, backtesting, and market-structure analysis, but not for deciding the price of an order that must execute in seconds.
For current execution, query the source exchange or a real-time feed and validate the live order book. Use Dune to answer slower questions: who accumulated a position, how liquidity evolved, whether a strategy worked historically, or how venues compare over months.
When to use Alphascope instead
Alphascope is useful when a trader needs the current market narrative rather than a blank SQL canvas. It links active prices with AI-assisted forecasts, news catalysts, categories, and related contracts.
- Use Dune for custom historical research and reproducible SQL.
- Use Alphascope for live-oriented market investigation and discovery.
- Use a native or real-time API for execution-grade order-book decisions.
- Document table freshness and source methodology in every analysis.
Dune Analytics vs Alphascope FAQ
Does Dune have Polymarket data?
Yes. Dune documents Polymarket trades, market details, positions, and hourly or daily price tables derived from Polygon contracts and Polymarket metadata.
Does Dune have Kalshi data?
Yes. Open Kalshi tables include market reports and daily aggregated trade reports, while more detailed unified history is described as an enterprise offering.
Is Dune data real time?
Dune documents roughly daily refresh for its curated prediction-market datasets. Do not use that data as an executable live quote without checking the source venue.
How is Dune different from Alphascope?
Dune is a query and data platform for custom historical analysis. Alphascope is a finished research interface centered on current odds, forecasts, news, and related markets.
Before you use this Dune Analytics vs Alphascope guide
A good prediction market guide should help you make a more precise decision, not just explain the headline. Before trading, convert the market price into an implied probability, read the resolution criteria, and compare the contract with nearby markets. If your thesis depends on a news catalyst, check whether that catalyst directly affects settlement or only changes short-term sentiment.
The same checklist applies across Bitcoin, elections, sports, and other event contracts. A trade can look attractive because the payout is large, but payout alone does not create edge. Edge comes from a better probability estimate than the current price, plus enough liquidity to enter without giving away the advantage through spread and slippage.
Checklist for applying the guide to a live market
First, confirm that the market title and resolution source match the event you intend to trade. Second, compare the live price with your own estimate and write down the difference in percentage points. Third, check liquidity and maximum loss before sizing the position. Fourth, review related markets to see whether the same information has already been priced elsewhere. Fifth, decide what evidence would make you exit or update the thesis.
Alphascope supports that workflow through the odds board, AI predictions, and news impact pages. Use this guide as the educational layer, then use the live pages to check whether the current market still matches the setup described here.
How to know whether the setup is still current
A guide can explain the structure of a market, but the live price decides whether the setup is still actionable. Check when the market last moved, whether new information has arrived since the guide was written, and whether the strongest catalyst has already been priced in. If the market has moved far in the direction of the thesis, the remaining return may be too small for the risk.
If the market has not moved despite relevant news, review the resolution criteria before assuming traders missed the story. The market may be ignoring the news because it does not affect settlement. The best use of any guide is to understand the mechanics, then verify the current contract and price before making a decision.
