News-Driven Arbitrage (Information Latency)

This strategy monitors news feeds for events that are directly relevant to open Polymarket markets, then rapidly trades before the broader market incorporates the new information into prices. The dashboard component suggests a real-time monitoring setup where relevant news is surfaced and mapped to specific markets, allowing a trader or bot to act on the information edge before prices adjust.

Entry conditions are triggered by detection of a qualifying news event that materially changes the probability of a market's outcome, combined with a confirmation that the Polymarket price has not yet moved to reflect the new information. The size of the edge (news-implied probability minus current market price) determines position size. Exit is typically achieved as the market price converges to the new fair value, which can happen within minutes on active markets.

No verified performance results are publicly disclosed. The project appears to be a tooling/dashboard layer rather than a fully autonomous execution bot, implying manual or semi-automated trading. Implementation complexity centers on reliable, low-latency news ingestion and accurate mapping of news events to relevant markets.

Key risks include false positives (news events misclassified as material), latency disadvantage versus more sophisticated participants, and the possibility that other fast traders have already moved the price by the time execution occurs. Regulatory risk around information-based trading on prediction markets is also an emerging consideration.