transcript-queries

Query financial transcript data in Neo4j with Cypher queries.

3|1|Updated Dec 2, 2024
One-click install
npx skills add https://github.com/faisalanjum/EventTrader --skill transcript-queries
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: transcript-queries
Source: https://github.com/faisalanjum/EventTrader/tree/main/.claude/skills/transcript-queries
Command: npx skills add https://github.com/faisalanjum/EventTrader --skill transcript-queries

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured way to query and retrieve specific information from financial transcripts, enabling deeper analysis of company earnings calls and Q&A sessions.

Core Features & Use Cases

  • Retrieve Transcripts: Find transcripts for a specific company or within a date range.
  • Analyze Q&A: Extract question-and-answer exchanges, search Q&A by questioner, or follow exchange chains.
  • Examine Prepared Remarks: Get the full text of prepared remarks.
  • Analyze Market Impact: Correlate transcript information with stock performance.
  • Use Case: An analyst needs to quickly find all Q&A sessions for Apple's last five earnings calls to identify common analyst concerns.

Quick Start

Find all transcripts for the company with ticker 'AAPL' between '2023-01-01' and '2023-12-31'.

Frequently Asked Questions about transcript-queries

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

FAQPage Schema
How do I query financial transcripts stored in a Neo4j database?

To query financial transcripts in Neo4j, you use structured Cypher queries to retrieve full transcript texts, Q&A exchanges, and prepared remarks linked to specific company nodes by ticker and date ranges.

What is point-in-time safe querying for earnings call data?

Point-in-time (PIT) safe querying ensures that historical financial transcript analysis only uses data available at a specific past date, preventing look-ahead bias when correlating earnings call Q&A with historical stock performance.

Can I extract Q&A exchanges from earnings call transcripts using Cypher?

Yes, you can extract Q&A exchanges from earnings call transcripts using Cypher queries to search by questioner, follow exchange chains, and isolate Q&A sessions from prepared remarks for specific companies.

How do I analyze the market impact of earnings calls using graph database queries?

You can analyze market impact by running Cypher queries that correlate financial transcript data with historical stock performance nodes already stored in the Neo4j graph database to identify post-earnings trends.

Do I need a Neo4j graph database setup to analyze earnings call transcripts?

Yes, you need a Neo4j graph database populated with financial transcript nodes, company entities, and stock performance relationships, as this Skill provides the Cypher query templates rather than the database infrastructure itself.

What's the best way to find historical earnings call transcripts for a specific ticker?

The best way to find historical earnings call transcripts for a specific ticker is executing targeted Cypher queries that filter company nodes by ticker symbol and constrain the transcript retrieval by date range.