Key Features
1. Real-Time Sentiment Scoring
Polykoe continuously monitors conversations across prediction market platforms:
Multi-source Aggregation: Combines data from Polymarket comments, X/Twitter threads, and other social platforms
Outcome-specific Analysis: Calculates separate sentiment scores for each possible outcome in a market
Temporal Tracking: Shows how sentiment evolves over hours, days, and weeks
Volume Weighting: Considers both intensity and volume of discussions
How it works: Natural language processing algorithms analyze text sentiment, account credibility, engagement metrics, and historical accuracy to produce weighted sentiment scores ranging from 0-100 for each outcome.
2. Divergence Signal System
The Divergence Signal is Polykoe's core trading intelligence feature:
Strong Buy Signal (Bullish Divergence)
High sentiment score (70-100)
Low current price (below 30%)
Interpretation: Public conviction is building but not yet reflected in price
Action: Consider accumulating position before sentiment drives price higher
Strong Sell Signal (Bearish Divergence)
Low sentiment score (0-30)
High current price (above 70%)
Interpretation: Price has overshot underlying conviction
Action: Consider reducing exposure or taking contrarian position
Neutral Signal
Sentiment and price are aligned
No significant divergence detected
Interpretation: Market is efficiently priced based on current conviction
Action: Wait for better entry opportunities or trade other markets
3. Conviction Momentum Tracking
Understanding the direction and velocity of sentiment change is crucial:
Trend Analysis: Identifies whether sentiment is strengthening or weakening
Acceleration Metrics: Measures how quickly opinion is shifting
Volatility Indicators: Flags markets with rapidly changing sentiment
Confidence Levels: Shows statistical certainty of sentiment measurements
4. Multi-Platform Intelligence
Polykoe doesn't rely on a single data source:
Polymarket Comments
Direct market participant discussions
High-conviction signals from users with capital at risk
Technical analysis and fundamental reasoning
X/Twitter Conversations
Broader public opinion and trending topics
Influencer sentiment and viral narratives
Breaking news and event-driven reactions
Cross-Platform Validation
Correlates signals across platforms for confirmation
Identifies platform-specific biases
Weights sources by historical predictive accuracy
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