event-driven

Generate event-driven trading signals from news and macro events using sentiment analysis and technical indicators.

2|Updated May 13, 2026
One-click install
npx skills add https://github.com/thanhtai040805/AI_Invest --skill event-driven-thanhtai040805
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: event-driven
Source: https://github.com/thanhtai040805/AI_Invest/tree/main/ai-engine/app/domain/services/quant/skills_data/event-driven
Command: npx skills add https://github.com/thanhtai040805/AI_Invest --skill event-driven-thanhtai040805

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides event-driven trading signal generation by analyzing sentiment and impact magnitude from news, announcements, and macro events, combining them with technical signals for a comprehensive trading decision.

Core Features & Use Cases

  • Event Analysis: Scans news, announcements, and macro events for sentiment-scored signals.
  • Signal Generation: Creates CSV event data and aggregates technical signals.
  • Use Case: Utilize the Skill to analyze financial news and generate event-driven trading signals based on sentiment and impact magnitude.

Quick Start

Use the event-driven skill to generate trading signals for the upcoming earnings report.

Frequently Asked Questions about event-driven

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

FAQPage Schema
How do I generate event-driven trading signals from financial news and announcements?

To generate event-driven trading signals, this Skill analyzes news and macro events using sentiment analysis and technical indicators. It processes market impact magnitude and outputs aggregated trading signals for financial analysis workflows.

What is event-driven trading signal generation and how does it combine sentiment with technical indicators?

Event-driven trading signal generation scans news and announcements to score sentiment and impact magnitude, then combines these results with technical indicators. This dual approach produces comprehensive trading signals for financial decision-making.

Do I need pandas and numpy to process event-driven trading signals and sentiment data?

Yes, you need pandas and numpy to process event-driven trading signals. The Skill requires these libraries for data manipulation, signal processing, and aggregating technical signals from news and macro events.

Can I use event-driven trading signals for upcoming earnings reports and macro events analysis?

Yes, you can use event-driven trading signals for upcoming earnings reports and macro events. The Skill analyzes sentiment and impact magnitude from financial announcements to generate actionable trading signals.

What is the best way to aggregate technical signals with sentiment analysis for event-driven trading?

The best way to aggregate technical signals with sentiment analysis is using this Skill, which scans news and macro events, scores sentiment, and combines the results with technical indicators to output comprehensive trading signals.

Does this event-driven trading Skill output CSV event data for financial analysis workflows?

Yes, this event-driven trading Skill outputs CSV event data containing sentiment-scored signals from news and announcements. It aggregates this with technical indicators to support financial analysis and trading decision workflows.