News Arbitrage — Event-Driven Position Taking on Breaking News

How It Works Prediction market prices update slower than underlying information in fast-moving news cycles. The strategy monitors news feeds, social media APIs, or specialized news aggregators for events that are directly relevant to open Polymarket markets. Upon detecting a material news item, the bot identifies affected markets and enters a position before other market participants reprice the outcome probability.

Entry/Exit Conditions Entry is triggered as soon as a qualifying news event is detected and matched to an open market. The position is sized based on estimated probability shift and available liquidity. Exit occurs either at a target price (after the market has repriced to reflect the news) or at resolution. Speed of entry is paramount — the window may close within seconds to minutes of news publication.

Verified Results The benjee-inc/polymarket-arb-dashboard repo explicitly describes itself as a 'Polymarket news arbitrage bot dashboard,' indicating a real implementation exists with a monitoring interface. No performance data is disclosed. News arbitrage is a well-documented alpha source in traditional financial markets.

Implementation Notes The system requires low-latency news ingestion (Reuters, AP, Twitter/X API, specialized political or sports feeds depending on market type) and a pre-built mapping of news topics to relevant Polymarket markets. NLP or keyword matching is needed to assess relevance and directional impact. The dashboard component suggests ongoing monitoring of which news events generated tradeable opportunities.

Risks False or corrected news reports can cause significant losses if positions are entered before retraction. Many news events are already priced in before the bot can act, especially for anticipated announcements. Competing latency-arbitrage bots from well-resourced teams likely have faster data pipelines. Relevance mapping between news and market outcomes requires continuous maintenance as new markets are listed.