Machine-readable news platform provider RavenPack has granted access to its historical data to crowd researchers seeking alpha signals on CloudQuant’s online Python and JupyterLab-based tools. The initiative aims to support data scientists designing tools to improve financial modelling.
Alpha depends on more than models, talent and execution. It depends on the quality, consistency and timeliness of the data behind every investment decision. Many hedge funds still operate with fragmented datasets, inconsistent identifiers and manual reconciliation processes that slow research, distort signals and increase operational risk. As firms scale across strategies, regions and asset...
By Eugene Grinberg, Co-Founder and CEO, SOLVE. For decades, fixed-income markets rewarded opacity. Firms with the right relationships, proprietary data, or pricing advantages could generate outsized returns on a small number of well-timed trades. That model is breaking down. Fee compression, regulatory transparency requirements, and an explosion in available data have changed the basis of...
Now in its 9th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.
AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...