Clarity in Chaos: Leveraging Data and Earnings Insights in a Volatile 2026 Market

As we enter the heart of the Q1 corporate earnings season, investors are facing a complex market marked by geopolitical tensions, rapid sector rotations, and the evolution of AI. Many asset managers and quantitative analysts are navigating a visibility gap as companies reassess their guidance in the face of this uncertainty.

Christine Short will be joined by Ben Silverman of VerityData and Chris Petrescu of CP Capital to discuss how institutional investors use alternative data to bring clarity to these markets. They will share how quantitative strategies, insider sentiment, and corporate action data are being used to identify trends and find alpha.

Topics for discussion include:

• Geopolitics: How conflicts are impacting data strategies and investor sentiment.
• The Visibility Gap: Why companies are reassessing guidance and how to manage the uncertainty.
• Sector Rotations: Analyzing the Q2 move back into Tech.
• The AI Play: Tracking CapEx, margins, and insider activity in the tech sector.

Watch the Recording

Please fill out the form below to access the virtual fireside chat.

Christine Short

Head of Research
Wall Street Horizon

Christine Short is a corporate earnings expert with over 15 years of experience. Her research has been widely featured in top-tier financial news outlets such as WSJ, FT and Barron’s, and she has appeared on networks such as CNBC, Fox Business News, and Bloomberg.

Ben Silverman

Director of Research
VerityData

Ben Silverman has spent 20+ years analyzing corporate insider activity and SEC filings, developing research used by some of the world's largest institutional investors to identify meaningful signals from insider transactions and more.

Chris Petrescu

Founder of CP Capital
Formerly at ExodusPoint and WorldQuant

Chris founded CP Capital six years ago to bring Data Strategy as a Service to the financial world. Chris started his hedge fund career at Worldquant as a data strategist where he dove deep into the depths of alternative data.