Finq4cn MCP Server
FinQ4Cn-mcp-server is a financial data service tool based on the akshare library, focusing on the Chinese A-share market. It provides multi-dimensional data support for stocks and related financial products, suitable for quantitative analysis and research on the domestic stock market.
rating : 2.5 points
downloads : 39
What is FinQ4Cn MCP Server?
FinQ4Cn MCP Server is a financial data analysis tool focusing on the Chinese A-share market. It aims to provide users with free and convenient access to financial data through open data interfaces. It supports various functions, including stock fundamental analysis, risk assessment, acquisition of technical indicators, and collection of news and information.How to use FinQ4Cn MCP Server?
Users can quickly access the service by installing dependencies, configuring environment variables, and running the server. The specific steps include cloning the code repository, creating a virtual environment, installing dependency packages, and starting the server.Applicable scenarios
Suitable for professional quantitative investment practitioners, individual investors, and users interested in the domestic stock market. Whether for strategy development, risk control, or asset allocation, this tool can meet the needs.Main functions
Stock risk alertProvide details of the volatility of the company corresponding to the specified stock code.
Common stock indicatorsObtain the main business composition of listed companies, historical stock price data, financial summaries, and margin trading records.
News reportsCollect the latest financial news and news related to specific stocks.
Backtesting moduleVerify the effectiveness of trading strategies based on historical data.
Advantages and limitations
Advantages
Comprehensively cover data of the Chinese A-share market
Open source, free, and easy to integrate
Support multi-dimensional analysis (such as financial and technical)
Limitations
Limited to the Chinese mainland market
Some advanced functions may require additional configuration
Dependent on the stability of network connection
How to use
Clone the code repository
Use Git commands to download the project code.
Set up a virtual environment
Create and activate a Python virtual environment.
Install dependencies
Install the required Python libraries.
Start the server
Run the main program to start the MCP service.
Usage examples
Obtain historical stock price dataDemonstrate how to call the API to obtain the historical closing prices of a certain stock.
Perform backtestingUse the backtesting module to test the performance of a buying strategy.
Frequently asked questions
How to ensure data accuracy?
Does it support data from other markets?
Related resources
Official documentation
Detailed MCP configuration guide.
GitHub repository
Source code address and Issue feedback entry.
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