news-orderbook-arbitrage
github.com/LuciferForge/news-orderbook-arbitrage
A sub-200ms engine designed to arbitrage the latency between news events and Polymarket orderbook price adjustments.
Latency-sensitive news arbitrage. The strategy involves monitoring news feeds, parsing sentiment or factual information that impacts specific markets, and placing orders faster than other market participants can react. Sub-200ms execution is the core of the strategy.
The concept of news-to-orderbook arbitrage is a classic high-frequency trading strategy applied to prediction markets. The claim of sub-200ms execution is aggressive and requires a low-latency news feed, a high-speed connection to Polymarket's CLOB, and optimized order code, typically in a lower-level language, not pure Python. The tiny repo size (19KB) indicates this is unlikely to be a complete or functional engine. It might be a simple script or a placeholder for a larger, unpublished project. While the idea is sound, the implementation as it stands is probably not actionable. The lack of documentation and stars further solidify this as an early-stage experiment. It is worth monitoring for future updates, but cloning it now would likely yield little value. The real challenge is the data feed - a generic news API will not be fast enough; you would need a direct, low-latency feed from a news provider like Bloomberg or Reuters.