corporate-events

Merger arbitrage opportunities from A-share corporate events are identified by quantifying price gaps and timing windows around merger and restructuring announcements to generate actionable event-driven trading signals. The framework evaluates risk factors and extracts signals from pre- and post-event disclosures.

Extracting insider trading signals from shareholding changes involves modeling corporate actions and quantifying risk factors around disclosures to reveal potential mispricings. This framework converts structured event data into scored signals, supporting data-driven evaluation of investor behavior.

Generating a trading plan for equity incentive announcements requires interpreting the event data to produce pre- and post-event strategies with defined risk controls and exit criteria. The framework scores the signals and assesses risk factors to deliver actionable trade ideas.

Event-driven trading works for A-share targets by modeling corporate actions across both pre- and post-event windows to capture potential mispricings. It requires structured event data and financial data sources to support rule-based analysis workflows for scenario-based recommendations.

You should not use corporate event signals when structured event data or reliable financial data sources are unavailable, as the framework depends on rule-based analysis workflows. Without quantifiable risk factors and timing windows, signal scoring and scenario-based recommendations lack accuracy.