News Arbitrage: Trading Polymarket Markets on Real-Time Information Events

How It Works Polymarket prices aggregate participant beliefs, but price updates lag news publication by seconds to minutes depending on market liquidity and participant attention. A news arbitrage bot ingests structured news feeds (APIs, RSS, NLP-parsed headlines), identifies markets affected by a breaking event, and executes trades in the correct direction before the crowd fully reprices the market.

Entry/Exit Conditions Entry is immediately upon detecting a relevant news event that materially changes the resolution probability of a monitored market. Speed of execution is the primary edge — this is a latency-sensitive strategy. Exit is either at a target price after the market has repriced to reflect the news, or at resolution. The dashboard infrastructure suggests multi-market monitoring with alert systems.

Verification No performance metrics are published. The repo description explicitly identifies this as a 'news arbitrage bot dashboard,' confirming the strategic intent, but no results are available. Zero stars and forks limit external validation.

Implementation Notes The dashboard component (21557KB, the largest UI repo in the dataset) suggests sophisticated multi-market visualization for monitoring many markets simultaneously. Core implementation challenges include: reliable news API sourcing with low latency, NLP entity linking to connect news events to specific Polymarket market IDs, and execution speed on Polymarket's CLOB. Pre-positioning capital in wallets is necessary since on-chain funding has delays.

Risks News arbitrage is a highly competitive strategy on liquid markets — professional traders with co-located infrastructure likely dominate. Misidentification of relevant markets from news text can result in wrong-direction trades. Markets may already have partially priced in anticipated announcements. Thin markets may not absorb the intended position size at the desired price.