[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-ai-agent-turns-prediction-market-forecasts-into-trades":10,"sections":34},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},3657,"ai-agent-turns-prediction-market-forecasts-into-trades","AI Agent Turns Prediction-Market Forecasts Into Trades","Raven-Agent claims to be the first autonomous AI trading agent built for prediction markets, and it's the only tested policy that posted a positive return.","An AI agent called Raven-Agent can now do what most forecasting models can't: actually trade on its own predictions.\n\nResearchers introduced Raven-Agent as what they describe as the first autonomous trading agent designed specifically for prediction markets. The core problem it addresses is a gap that recent benchmarks have made hard to ignore — models that produce well-calibrated probability estimates still tend to lose money when those estimates get converted into trades. Raven-Agent adds a \"belief-to-trade\" layer that bridges that gap. Tested against a controlled replay of archived decisions, it was the only policy among all evaluated approaches to achieve both a positive return and a positive risk-adjusted return. The code is publicly available on GitHub.\n\nThe result matters because prediction markets are increasingly used as a serious evaluation ground for AI forecasting — if a model is genuinely good at predicting the future, it should be able to profit from that knowledge. Most can't, which suggests that raw probability calibration and decision-making under uncertainty are different skills. Raven-Agent is an early attempt to build the connective tissue between the two.\n\nOne controlled replay over archived data is a long way from live-market performance, and the researchers are careful to note the gap themselves — but the benchmark is more rigorous than a leaderboard score, and the open-source release invites scrutiny that abstract claims rarely get.","[\"ai\",\"prediction-markets\",\"trading\",\"research\"]","2026-07-07T04:00:00.000Z","2026-07-07T05:04:32.191Z","2026-07-07T05:04:35.095Z","published",null,[],"ai",[24,26,27,28],"prediction-markets","trading","research",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.03015",0,{"sections":35},[36,40,45,50,55,60,65,70,75,79,84,88,93,98],{"name":37,"slug":24,"count":38,"latest_published_at":39},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":41,"slug":42,"count":43,"latest_published_at":44},"Security","security",294,"2026-07-15T19:59:48.000Z",{"name":46,"slug":47,"count":48,"latest_published_at":49},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":59},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":64},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":66,"slug":67,"count":68,"latest_published_at":69},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":71,"slug":72,"count":73,"latest_published_at":74},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":18},"Dev Tools","dev-tools",59,{"name":80,"slug":81,"count":82,"latest_published_at":83},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":85,"slug":86,"count":82,"latest_published_at":87},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":89,"slug":90,"count":91,"latest_published_at":92},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":94,"slug":95,"count":96,"latest_published_at":97},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":99,"slug":100,"count":101,"latest_published_at":102},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]