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Retail traders are using AI tools to find arbitrage in short-term prediction markets, turning tiny pricing flaws into rapid gains.
Retail investors are increasingly leveraging artificial intelligence to hunt for tiny pricing inefficiencies in short-duration prediction markets, according to a new report. Automated bots powered by AI can scan data faster than humans and execute trades that capture micro-arbitrage opportunities, reportedly generating significant returns in a short span by exploiting transient market glitches that exist before others adjust pricing.
The growing use of AI in retail trading reshapes how small investors interact with digital markets, potentially narrowing the gap with institutional automation and altering competitive dynamics among traders.
As AI tools become more accessible, retail traders may increasingly rely on automation to exploit fleeting market conditions. While these systems can provide an edge by reacting to anomalies faster than humans, they may also intensify competition for arbitrage profits and contribute to heightened market speed. Monitoring risks associated with over-reliance on AI and market fairness will likely become more prominent as these technologies spread across trading platforms.
srouce: coindesk