eastmoney

Retrieve and analyze financial data from Eastmoney's API using Python.

1|Updated Jun 23, 2026
One-click install
npx skills add https://github.com/644408071-design/Kokpop --skill eastmoney
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: eastmoney
Source: https://github.com/644408071-design/Kokpop/tree/main/agent/src/skills/eastmoney
Command: npx skills add https://github.com/644408071-design/Kokpop --skill eastmoney

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill simplifies access to Eastmoney's vast repository of financial data, allowing users to quickly extract and analyze information on stocks, financial instruments, and market trends.

Core Features & Use Cases

  • Financial Data Retrieval: Access a wide range of financial data including stock prices, trading volumes, financial statements, and market news.
  • Data Analysis: Perform various analysis tasks such as technical analysis, fundamental analysis, and market sentiment analysis.
  • Use Case: Suppose you want to analyze the trading volumes of a particular stock over the past month. You can use this Skill to retrieve the data and perform the analysis.

Quick Start

Run the script 'fund_flow_example.py' to analyze the recent trading volumes of a stock.

Frequently Asked Questions about eastmoney

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

FAQPage Schema
How do I retrieve stock prices and trading volumes from Eastmoney for market research?

To retrieve stock prices and trading volumes from Eastmoney, you can utilize Python libraries like requests and pandas to access the API. This handles data retrieval and error handling, enabling quick extraction of financial instruments and market trends for analysis.

Can I perform technical and fundamental analysis on financial data using Python?

Yes, you can perform technical and fundamental analysis on financial data using Python. By applying pandas and numpy to the retrieved Eastmoney API datasets, you can process market sentiment and stock prices to support trading strategy development.

Do I need specific Python dependencies to analyze Eastmoney financial statements?

Yes, analyzing Eastmoney financial statements requires specific Python dependencies. Your environment needs requests for API access, alongside pandas and numpy for data processing and analysis, plus backtest for evaluating your trading strategy.

What is the best way to analyze recent fund flow and trading volumes of a particular stock?

The best way to analyze recent fund flow and trading volumes of a particular stock is by running the fund_flow_example.py script. It retrieves the specific financial data from Eastmoney and applies error handling to ensure accurate market research results.

How does the Eastmoney API handle data retrieval errors during stock analysis?

The Eastmoney API integration handles data retrieval errors through built-in error handling mechanisms within the Python scripts. This ensures your stock analysis, market research, and trading strategy development processes remain stable during financial data extraction.