Extract and analyze XBRL financial data from Neo4j using Cypher queries.
npx skills add https://github.com/faisalanjum/EventTrader --skill xbrl-queries
Please help me install this Agent Skill. Skill: xbrl-queries Source: https://github.com/faisalanjum/EventTrader/tree/main/.claude/skills/xbrl-queries Command: npx skills add https://github.com/faisalanjum/EventTrader --skill xbrl-queries
This Skill provides a comprehensive set of Cypher queries to efficiently retrieve and analyze XBRL financial data from a graph database, enabling deeper insights into company financial performance.
Use the xbrl-queries skill to get the latest 'us-gaap:RevenueFromContractWithCustomerExcludingAssessedTax' for the company with ticker 'AAPL'.
High-intent search queries and answers about installing and using this skill.
To query XBRL financial data from SEC filings in Neo4j, you can use a collection of Cypher queries designed to extract and analyze financial metrics, dimensions, and periods from 10-K and 10-Q reports stored in a graph database.
Yes, you can perform point-in-time (PIT) analysis on XBRL data using supported Cypher queries that retrieve historical financial metrics safely, preventing future data leakage in your financial analysis.
You can retrieve specific financial metrics like Revenue or EPS by executing Cypher queries that target XBRL concepts, such as fetching 'us-gaap:RevenueFromContractWithCustomerExcludingAssessedTax' for a specific company ticker over a defined period.
The best way to discover relationships between financial concepts, dimensions, and periods in XBRL filings is using data exploration Cypher queries that map the graph database structure of SEC filings.
Yes, there are Cypher queries specifically included for data gap analysis, allowing you to identify missing financial metrics, dimensions, or periods within your Neo4j XBRL graph database.
Yes, you need a Neo4j graph database populated with XBRL financial data, as the provided Cypher queries are specifically designed to extract and analyze SEC filing data structured within a graph format.
faisalanjumExecute Cypher queries against a Neo4j graph database to retrieve company tickers.
rajyeole6Evaluate software tools using weighted scoring and total cost of ownership analysis.
sitharaj88Generate Neo4j graph models, Cypher queries, and algorithm configurations.
faisalanjumReference Neo4j 5.26.4 financial graph schema labels, relationships, data types, and indexes.
