{"id":571,"date":"2026-04-07T21:35:47","date_gmt":"2026-04-08T04:35:47","guid":{"rendered":"https:\/\/quantcha.com\/news\/?p=571"},"modified":"2026-04-08T12:25:39","modified_gmt":"2026-04-08T19:25:39","slug":"quantcha-launches-qwidgets-for-prediction-markets-free-cross-platform-analytics-for-an-emerging-asset-class","status":"publish","type":"post","link":"https:\/\/quantcha.com\/news\/quantcha-launches-qwidgets-for-prediction-markets-free-cross-platform-analytics-for-an-emerging-asset-class\/","title":{"rendered":"Quantcha Launches Qwidgets for Prediction Markets: Free Cross-Platform Analytics for an Emerging Asset Class"},"content":{"rendered":"\n

Quantcha, the options trading analytics platform that has served thousands of investors since 2014, today announced the launch of Qwidgets for Prediction Markets<\/strong>\u2014a free platform that brings the analytical depth of professional options tools to the rapidly expanding prediction markets space.<\/p>\n\n\n\n

Available now at https:\/\/predictions.qwidgets.com<\/a>, Qwidgets for Prediction Markets aggregates real-time data from Kalshi, Polymarket, and other exchanges into a unified view, enabling investors to analyze, compare, and trade prediction market contracts with the same rigor they apply to options strategies.<\/p>\n\n\n\n

\u201cPrediction markets are the most important new financial instrument in a generation, but the tools haven\u2019t caught up to the opportunity,\u201d said Ed Kaim, Founder of Quantcha<\/strong>. \u201cWe\u2019ve spent more than a decade building analytics tools for options traders. When I started analyzing prediction markets, I realized the same probability-assessment discipline applies directly\u2014but the source of your edge is different. In options, you\u2019re estimating whether time value and implied volatility are priced correctly. In prediction markets, you\u2019re estimating whether the probability itself is correct. The analytical rigor is the same. The tools just didn\u2019t exist yet. That\u2019s what Qwidgets is.\u201d<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

A Market Ready for Better Tools<\/strong><\/p>\n\n\n\n

Prediction markets have exploded in both volume and mainstream visibility. Kalshi, the only CFTC-regulated prediction market exchange, recently raised $1 billion at a $22 billion valuation. Polymarket processes over $20 billion in monthly trading volume. CNBC and CNN have signed partnership deals to broadcast prediction market data alongside traditional market tickers. The regulatory environment has shifted meaningfully, with the CFTC moving away from its earlier adversarial posture and federal policy appearing broadly supportive of prediction market development.<\/p>\n\n\n\n

Yet despite this growth, the tools available to prediction market participants remain basic. The major exchanges offer simple charting and order entry, with no cross-platform comparison, no portfolio-level analytics, and limited analytical depth.<\/p>\n\n\n\n

\u201cThis is where options markets were 15 years ago,\u201d Kaim said. \u201cThe instruments are sound, the regulatory framework is solidifying, and institutional capital is arriving. What\u2019s missing is the analytical layer. That\u2019s exactly the gap Quantcha was built to fill for options, and it\u2019s the gap Qwidgets fills for prediction markets.\u201d<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Key Features<\/strong><\/p>\n\n\n\n