Crypto.com | Derivatives North America (CDNA) today announced a collaboration with ERShares, LLC and Signal Markets, LLC to develop and expand a global market-intelligence platform that integrates macroeconomic data, financial markets, and corporate outcomes into a unified prediction markets experience.

The joint initiative will incorporate probabilistic modeling across interest rates, inflation, employment, equities, commodities, digital assets, and corporate earnings. Rather than focusing solely on isolated events, the platform is designed to provide a continuously updating view of how markets collectively interpret policy signals, economic data, and company performance in real time.

“Crypto.com has built one of the most powerful global platforms in digital finance,” said Joel Shulman, Founder and CIO of ERShares and Professor of Entrepreneurship at Babson College. “By combining that scale and technology with our investment framework and Signal Markets’ analytical engine, we are creating a new way for investors to understand markets through expectations rather than hindsight.”

Eva Ados, Chief Investment Strategist and COO of ERShares, added, “As market complexity increases, investors need clearer signals, not more noise. This platform is designed to connect macroeconomic trends, asset prices, and corporate performance into one practical view of global markets.”

Under the collaboration, ERShares will oversee information integration, research design, podcast programming, and media distribution. Signal Markets will power the platform’s probability-based modeling, data design, and forecasting architecture. Crypto.com will provide user access, global distribution, and platform-level integration across its ecosystem.

“This collaboration reflects our belief that the future of financial platforms lies in combining access with intelligence,” said Travis McGhee, Global Head of Predictions at Crypto.com. “By working with ERShares and Signal Markets, we are expanding our exchange and clearinghouse beyond transactions into tools that help users better understand markets, trends, and risk through data-driven insight. This is the next innovative step in Prediction Markets.”

All initiatives will be developed subject to applicable regulatory requirements.