Market Activity Heatmap
In prediction markets, activity does not occur evenly. A market activity heatmap aggregates prediction markets data to show periods or areas of high and low trading intensity. The heatmap typically reflects metrics like trade frequency, volume, or probability updates. Warmer areas indicate stronger activity, while cooler areas show quieter periods.
These patterns help reveal attention cycles and reaction timing. Spikes often align with news events, announcements, or moments close to resolution. Market activity heatmaps are useful for comparing events side by side. They show which markets attract sustained engagement and which only see brief bursts.
For analysts, heatmaps turn complex time-series data into an intuitive overview. They make it easier to spot behavioral patterns, liquidity gaps, and structural differences across prediction markets. Over time, activity heatmaps support performance analysis. They help explain why some forecasts stabilize early while others remain volatile.
Why It Matters
Activity patterns shape signal quality. Market activity heatmaps help users understand when prediction markets data is most informative and when it is weak.
What is a market activity heatmap in prediction markets?
In prediction markets, a market activity heatmap visualizes trading intensity across time or events. It shows where participation is concentrated. This helps identify attention peaks and quiet phases. It is a tool for understanding market dynamics.
How does a market activity heatmap improve prediction markets data analysis?
Market activity heatmaps help analysts quickly identify periods of strong or weak engagement. This context explains volatility, delayed reactions, and confidence changes. Heatmaps also support cross-event comparison. They make large prediction markets data sets easier to interpret.
Why are market activity heatmaps important for prediction markets APIs?
Prediction markets APIs provide the granular time-stamped data needed to build activity heatmaps. Analysts can aggregate volume, trade counts, and updates programmatically. APIs enable automated generation of heatmaps across many markets. This supports scalable monitoring and analysis.
Real-World Example
On Polymarket, an election market may show intense activity during debates and election night. A market activity heatmap makes these engagement spikes immediately visible.
Market Activity Heatmap and FinFeedAPI
FinFeedAPI’s Prediction Markets API provides prediction markets data suitable for constructing market activity heatmaps. Analysts can aggregate trade activity, probability updates, and timing signals. This supports attention analysis, behavioral research, and market monitoring. The API enables consistent heatmap generation across prediction markets.