corporate-events

Name: corporate-events
Availability: InStock
Author: 20YN04

Analyze corporate events to generate A-share trading signals with pandas and numpy.

Updated Jun 30, 2026

Search Tags:#event-driven #trading #financial-analysis #arbitrage #stock-market #a-share

Ready to run

npx skills add https://github.com/20YN04/vibe-trading-macos --skill corporate-events-20yn04

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: corporate-events
Source: https://github.com/20YN04/vibe-trading-macos/tree/main/agent/src/skills/corporate-events
Command: npx skills add https://github.com/20YN04/vibe-trading-macos --skill corporate-events-20yn04

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy.

What problem does it solve?

This Skill addresses the complexity of analyzing corporate announcements, helping traders identify actionable signals from mergers, acquisitions, equity incentives, and regulatory warnings to capture systematic excess returns.

Core Features & Use Cases

Event-Driven Analysis: Evaluate the impact of mergers, spin-offs, and equity incentives on stock performance.
Risk Assessment: Identify potential ST/退市 (delisting) risks and assess the validity of major shareholder增减持 (increase/decrease) signals.
Use Case: When a company announces a major asset restructuring, use this Skill to calculate the merger arbitrage spread and determine the probability of success based on regulatory approval stages.

Quick Start

Use the corporate-events skill to analyze the impact of the latest equity incentive plan announcement for the ticker 000001.SZ.

Frequently Asked Questions about corporate-events

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I calculate merger arbitrage spreads for A-share stock market corporate events?▼

To calculate merger arbitrage spreads for A-share corporate events, analyze major asset restructuring announcements to evaluate the probability of success based on regulatory approval stages. This requires pandas and numpy for quantitative data processing.

What is event-driven trading analysis for equity incentive plans and how does it generate signals?▼

Event-driven trading analysis for equity incentive plans evaluates the impact of corporate announcements on stock performance to generate actionable trading signals. It identifies systematic excess returns by quantitatively assessing market reactions to specific corporate-level events.

Can I use pandas and numpy to assess major shareholder increase or decrease signals in financial analysis?▼

Yes, you can use pandas and numpy to assess major shareholder increase or decrease signals in financial analysis. These dependencies handle data processing and quantitative evaluation to validate the impact of shareholder transactions on A-share stock performance.

How do I identify potential ST or delisting risks from regulatory warnings in the A-share market?▼

To identify potential ST or delisting risks from regulatory warnings in the A-share market, analyze corporate-level regulatory announcements to assess risk-reward profiles. This event-driven approach processes warning signals to flag systematic risk exposure.

Does event-driven analysis work for evaluating spin-offs and mergers across the entire A-share market?▼

Event-driven analysis works for evaluating spin-offs and mergers across the A-share market by calculating arbitrage spreads and assessing risk-reward profiles. It operates within A-share event-driven strategies to quantify event-based market impacts.