On November 18th, we held a webinar in collaboration with our legal partners, McDermott Will & Schulte LLP, focused on the evolving world of event contracts and their intersection with crypto markets.
On November 11th, we held a workshop on the importance of tracking estimated versus confirmed future earnings dates, the signals provided by advances or delays in confirmation timing, and broader use cases for forward-looking event data beyond earnings.
Event data has become an essential component of modern investment analysis. By combining structured corporate disclosures with unstructured signals from news and digital sources, investors can detect material developments earlier and respond with greater precision.
On October 16th, we hosted a workshop in partnership with Similarweb which was designed to equip investors with actionable insights ahead of earnings season. This session highlighted how clickstream and app data can be leveraged to analyze company performance at the ticker level.
The U.S. Department of Justice’s (DOJ) rule titled “Preventing Access to U.S. Sensitive Personal Data and Government Related Data by Countries of Concern or Covered Persons” and codified at 28 CFR Part 202 entered a critical new phase.
Data protection, cross-border transfers, anonymization, and AI regulation have all been strengthened. On May 1, 2025, CAC’s compliance audit measures required companies handling personal information to undergo audits and appoint Data Protection Officers (DPOs) for large-scale data processors
As the demand for digital services accelerates, data centers are becoming the backbone of the digital economy—reshaping not only how technology operates but also how energy markets respond to rising needs.
The panel focused on AI, alternative data, and compliance, exploring the risks, governance considerations, and practical challenges facing investment funds.
While traditional large language models are optimized for words, speakers noted the challenges of handling time series data, and how MCP can help make this integration smoother, strengthening predictive outcomes.
Eagle Alpha rounds up some of the most relevant legal and compliance articles surrounding the alternative data space over the past month.
The erosion of trust in official government statistics, particularly from the Bureau of Labor Statistics, highlights the risks posed when data collection faces political interference, funding cuts, and falling response rates.
Advances in NLP, machine learning, and LLMs now allow asset managers to filter noise and extract actionable insights from platforms like Reddit, YouTube, and TikTok.
