Shareholder activism is a growing trend, and top of mind for many capital markets professionals. This whitepaper outlines Q4’s research on activist trading and the release of its algorithm to track and predict shareholder activism.
Q4’s scoring system uses sophisticated models and historical analysis to create a baseline, or assumptive “normalcy”, for each stock. Through machine learning, algorithms closely monitor equity and options order flow, including liquidity analysis, volume velocity, and trade pattern recognition, to identify when current trading activity veers from these preset norms. Routed in over two decades’ worth of experience from a team of industry experts, Q4’s AA is a differentiated model for detecting real-time activist movements, allowing one to stay ahead of tomorrow’s trading activity.
Learn how Q4's predictive analytics model helps IR professionals and institutional investors predict and recognize activist trading.