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earnings-orchestrator

Orchestrate multi-step earnings analysis pipelines for company tickers.

3|1|Updated Dec 2, 2024
Search Tags:#automation#guidance#discovery#data analysis#finance#stock market#earnings
One-click install
npx skills add https://github.com/faisalanjum/EventTrader --skill earnings-orchestrator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: earnings-orchestrator
Source: https://github.com/faisalanjum/EventTrader/tree/main/.claude/archive/skills/earnings-orchestrator-v2
Command: npx skills add https://github.com/faisalanjum/EventTrader --skill earnings-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the complex process of analyzing company earnings data, discovering relevant news and guidance, and preparing insights for further processing.

Core Features & Use Cases

  • Automated Earnings Data Ingestion: Fetches and parses historical earnings data for a given company ticker.
  • Intelligent Discovery: Identifies significant stock moves and extracts crucial guidance information from various financial filings and news sources.
  • Task Orchestration: Creates and manages a series of sub-tasks for detailed analysis of news and guidance, ensuring a structured and efficient workflow.
  • Use Case: For a given company like AAPL, this Skill will fetch its latest earnings report, identify any significant market events or guidance changes around that period, and then trigger agents to analyze the news and filings, ultimately preparing a comprehensive earnings analysis.

Quick Start

Analyze the earnings for ticker 'AAPL'.

Frequently Asked Questions about earnings-orchestrator

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

FAQPage Schema
How do I automate earnings analysis for a specific stock ticker?▼

Automating earnings analysis involves orchestrating a pipeline that fetches historical data, discovers news and guidance, and creates sub-agent tasks for a given ticker. This skill manages that entire workflow end-to-end.

What is the best way to discover company guidance changes during earnings season?▼

Discovering guidance changes is handled by extracting crucial information from financial filings and news sources during the earnings pipeline. The skill identifies significant stock moves and guidance data for sub-agent analysis.

How does the earnings analysis pipeline handle processing large amounts of historical stock market data?▼

The pipeline manages a processing cache to handle historical stock market data efficiently. It ensures only the oldest uncached quarter is processed per run, preventing duplicate work and managing processing load.

Can I trigger downstream analysis tasks after fetching earnings data?▼

Yes, downstream analysis tasks are triggered automatically. Upon successful completion of data retrieval and discovery, the skill creates sub-tasks for sub-agents and triggers downstream thinking-build processes for comprehensive analysis.

What happens if the earnings data retrieval process encounters an error?▼

If the earnings data retrieval process encounters an error, the pipeline includes built-in error reporting. This ensures failures are captured and logged during the multi-step analysis workflow.

Do I need any additional dependencies to run the automated earnings discovery workflow?▼

No additional dependencies are required to run the automated earnings discovery workflow. The skill operates independently using its internal scripts to orchestrate the data retrieval, news discovery, and task creation pipeline.

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