Understanding prediction markets through data-driven analysis
Polyscannr is an AI-powered analysis platform for Polymarket prediction markets. We believe prediction markets are fascinating indicators of collective intelligence, aggregating diverse opinions into real-time probability assessments of future events.
Our platform monitors markets continuously, correlating price movements with news sentiment and social media activity to identify interesting patterns and potential mispricings. Every signal we generate includes transparent reasoning, entry prices, and tracked performance over time.
We built Polyscannr to make prediction market analysis accessible and educational. By providing clear explanations of our methodology and maintaining a public track record, we aim to help people better understand how these markets work and what drives price movements.
Polyscannr harnesses the power of cutting-edge artificial intelligence to transform the way you understand prediction markets. Our proprietary algorithms work tirelessly behind the scenes, analyzing vast streams of data to uncover hidden opportunities that human analysis alone might miss.
Our sophisticated AI systems continuously scan hundreds of active Polymarket contracts in real-time, tracking every price movement, volume surge, and order book shift. While you sleep, our algorithms never rest— processing thousands of data points per minute to ensure no opportunity goes unnoticed.
Our proprietary natural language processing engine analyzes breaking news and social media trends in real-time, understanding nuance and context that simpler systems miss. By correlating this sentiment data with market movements, we identify powerful divergences—moments when markets haven't yet caught up to the information landscape.
When our multi-factor AI analysis converges on a high-confidence pattern, we generate actionable signals backed by transparent reasoning. Each signal captures the exact entry price and is rigorously tracked over time, building a verified track record that speaks for itself.
Beyond sentiment, our quantitative algorithms detect technical patterns in market microstructure—from order book imbalances and whale activity to mean reversion opportunities and arbitrage signals. This multi-layered approach combines the best of fundamental and technical analysis, powered by machine learning models trained on historical prediction market data.