--- url: "https://predictiontoolkit.com/tools/kalshinomics/" publisher: "PredictionToolkit" dateModified: "2026-11-03" --- [← Aggregators]() ![Kalshinomics logo]() Analytics # Kalshinomics Kalshinomics has announced that it is winding down its public tools and data pages. A final closure date is not confirmed. Its Kalshi, Polymarket and Unified views brought together event and market tables, exchange summaries, news, weekly intelligence and Labs experiments to help readers move from broad research to a specific contract. [**3.5**/ 5Editorial rating]() [Editorial assessment]() [Explore Kalshinomics tables and research]() kalshinomics.com **Available on:** Web **Pricing:** [See plans and costs ↓]() [Screenshots]() [Explore alternatives]() [Aggregators]() [Dashboards]() +2 more [News & media]() [Economic research]() ## Screenshots and interface Product preview1 / 3 Research articles and analytical coverage. ## Provider notice: winding down On 3 November 2026, the Kalshinomics website said it was winding down its public tools and data pages. A final closure date was not specified. The profile below documents the earlier service; it does not confirm current access. [Read the Kalshinomics notice]() ## What is Kalshinomics? Choose a venue or the combined table, search an event and apply filters at the event or individual-market level. Compare probability, volume and open interest as separate measures. Similar titles in a unified table do not establish matching thresholds, periods or settlement rules. The oil dashboard illustrates the Labs approach by placing CL spot context beside closing-price probabilities and positioning. This can help frame an event question, but movement in the underlying asset does not uniquely determine its probability. News, explainers, daily movers and weekly digests supply other routes into the same research. ### Who it is for - Users researching Kalshi and Polymarket side by side. - Readers following daily movers and weekly market summaries. - Researchers comparing underlying-asset context with event contracts. ## Features and coverage - **Venue and Unified sections** Open Kalshi, Polymarket or combined coverage and choose between event and market discovery levels. - **Exchange overview** Compare venue coverage and activity measures, checking what each measure represents. - **Weekly intelligence** Read market digests and mover summaries, then return to the relevant table for detail. - **News and explainers** Follow reporting and analytical explainers alongside market discovery. - **Focused Labs views** Explore purpose-built experimental research tools, including the oil dashboard with CL spot context, probabilities and positioning. - **Contract exploration** Navigate from broad event coverage to a selected market and its source contract. ## Workflows with Kalshinomics ### Compare venue coverage Search the same event in Unified and open each source contract to reconcile its definition and rules. ### Prepare a weekly review Read the digest, identify large changes and investigate them in the relevant event or market table. ### Study an oil threshold Compare the underlying asset context with the exact prediction-market threshold and read the contract’s resolution terms. ## Pricing and total cost The public site provides discovery and research without displaying a subscription price. This does not establish the charges or account requirements of the source trading venues. ## Getting started **Before you start:** Contracts in the combined table may have different definitions or activity measures. 1. Choose Kalshi, Polymarket or Unified, search the event and apply the relevant filters. 2. Inspect volume, open interest and probability separately; open a relevant Labs dashboard when useful. 3. Follow the original contract to read its full rules before comparing or acting on it. Combined tables can contain contracts with different definitions; similar titles alone are insufficient for comparison. ## Useful links ### What to check - Contracts in the combined table may have different definitions or activity measures. - Some homepage aggregate counters load dynamically. Use populated tables instead of placeholder totals. - Interpret the event's probability using its own question; a change in the underlying asset's price alone is insufficient. A closer look ## Ratings & reviews Editorial rating **3.5**/ 5 0 user reviews PredictionToolkit editorial ### Our take on Kalshinomics Unified tables and focused dashboards make broad discovery convenient. Reconcile contract definitions and differently defined activity measures before comparing apparently similar contracts or volumes. Based on documented features, setup and access terms. [How we rate]() ### User reviews 0 The main score switches to user ratings after 5 published reviews. **Be the first to share your experience** A specific example helps the next person choose the right tool. ## Related tools [Browse category]() ![PMIP product overview]() ![PMIP logo]()[PMIP]() Analytics**3.5**Editorial Investigate why a cross-venue price gap exists before treating it as a trading opportunity. - Trading mode Read-only - Access Web · Discord · Email Also in Prediction Market Aggregators. ![PredictionHero market browser with search and category filters]() ![PredictionHero logo]()[PredictionHero]() Analytics**3.5**Editorial A cross-venue event browser with matched groups, liquidity filters, watchlists and thematic indices. - Access Web · Email Compare another approach to grouping events across venues. ![PredictionBell trader and sports-research modes]() ![PredictionBell logo]()[PredictionBell]() Analytics**3.0**Editorial A free research screener for sports, financial and macro contracts on Polymarket and Kalshi. - Trading mode Read-only - Access Web Compare financial and sports market screeners. ## Frequently asked questions about Kalshinomics ### Does Kalshinomics include Polymarket? Yes. There are separate Kalshi and Polymarket sections as well as a Unified view. ### What does Labs contain? It hosts focused experimental research views, such as the oil dashboard that combines underlying-market context with event probabilities. ### Is this an order-entry bot? The reviewed offering is for discovery and research; use the source contract links to investigate venue rules. In this profile