By Staff Writer
Intercontinental Exchange, Inc. has launched Reddit Signals and Sentiment, a new data product designed to convert millions of real-time Reddit conversations into structured market indicators that institutional investors can use in research and trading strategies.
As retail trading continues to shape market narratives, communities like WallStreetBets and other investing subreddits have become major hubs for sentiment, rumours, product buzz and stock-specific discussion.
The problem for many professional investors isn’t so much about access, but about speed and structure. Social signals can arrive late, and even when they do, they’re messy and difficult to plug into existing investment workflows. ICE says its new service is meant to close that gap.
The product analyses anonymised and aggregated trends from Reddit’s real-time data stream, using AI and data science to detect and quantify sentiment. The goal is to surface signals faster, and in a format that can be compared, tracked and integrated alongside traditional market data.
“The Reddit community produces a massive amount of complex, unstructured, but often very insightful, information across millions of active user conversations,” commented Chris Edmonds, President of ICE’s Fixed Income and Data Services. “By bringing our vast experience working with large, complex datasets, we’re able to quickly identify useful market signals, connect them to companies and securities in our entity database, and compress the information cycle to help investors find new alpha-generating opportunities and manage risk.”
ICE says Reddit Signals and Sentiment includes:
The service is delivered through ICE’s data platforms, including the ICE Consolidated Feed, and is designed to integrate with other ICE datasets such as pricing, fundamentals, and corporate actions.
ICE also emphasised that the signals are derived from public Reddit data, processed in a way that avoids tracking or profiling individual users.
For many years now, social sentiment has influenced price action. But institutional workflows have typically relied on slower-moving data sources. Products like this are a sign that social data is increasingly being treated as a mainstream market input rather than just noise, especially when it’s packaged into consistent metrics investors can test and monitor.
