A forecast update stream delivers continuous updates whenever a prediction market probability shifts—whether from new trades, liquidity adjustments, or evolving sentiment. Instead of checking markets manually, analysts and tools can subscribe to the stream and watch beliefs update live. This creates an always-current picture of how expectations evolve throughout the event lifecycle.
Platforms like Polymarket, Kalshi, Myriad, and Manifold produce a steady stream of probability movements as traders react to news and adjust their views. These updates capture everything from slow belief drift to sudden information shocks. When aggregated into a forecast update stream, this data becomes an essential layer of prediction markets data for real-time monitoring, analysis, and model-building.
Forecast update streams are especially useful for researchers, automated systems, trading bots, and dashboards that need instant access to evolving forecasts.
A forecast update stream turns raw market activity into actionable, time-sensitive information. It helps users see how markets respond to news and sentiment shifts in real time, improving the usability of prediction markets data.
Prediction markets can change quickly, and a forecast update stream captures every movement as it happens. This real-time visibility helps users detect meaningful updates, identify volatility patterns, and separate genuine signals from noise. It makes prediction markets data far more responsive and supports fast, informed decision-making.
Forecast update streams allow models, dashboards, and analytics tools to operate continuously without manual refresh. They enable alerts when probabilities jump, highlight emerging trends, and provide detailed histories of how beliefs changed. This makes prediction markets data easier to interpret and integrate into larger forecasting systems.
Analysts can measure reaction speed, detect information latency, observe sentiment waves, and identify periods of heightened uncertainty. They can also compare different markets’ responsiveness to the same news event. These patterns help explain how prediction markets data forms and how well the market absorbs information.
A research group analyzing Polymarket uses a forecast update stream to monitor a market tied to a major legislative vote. When lawmakers release an unexpected statement, the stream immediately shows a sharp probability jump, signaling an information shock that analysts can investigate instantly.
Forecast update streams require clean, time-stamped probability updates. FinFeed's Prediction Markets API provides structured prediction markets data that developers can use to power live update streams, build forecasting dashboards, and create automated alert systems for evolving market expectations.
