# StockAnalyseAgent

**Repository Path**: yin_yong_chao/stock-analyse-agent

## Basic Information

- **Project Name**: StockAnalyseAgent
- **Description**: No description available
- **Primary Language**: Java
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2025-09-07
- **Last Updated**: 2025-09-10

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Stock Agent

An intelligent agent project for stock analysis, designed to provide intelligent stock analysis capabilities.

## Project Overview

- **Target Users**: Stock investors, financial analysts
- **Core Problem**: Provide automated and intelligent stock market analysis to assist users in making investment decisions

## System Functions

### Main Functions
- Stock data acquisition and processing
- Intelligent analysis and prediction
- Investment advice generation
- Data visualization and interaction

### Key Features
- AI-based stock trend prediction
- Multi-module architecture supporting flexible expansion
- Provides REST API interface for external calls

## Technical Architecture

### Technology Selection
- Backend: Spring Boot 3.4.0
- AI Framework: Spring AI 1.0.0, Spring AI Alibaba 1.0.0.2
- Database: MySQL
- Build Tool: Maven 3.8.1+
- JDK Version: Java 17

## Project Modules

- **agent**: Core AI analysis module, including analyzers, coordinators, controllers, etc.
- **stock**: Stock data processing module, including data access interfaces, core business logic, etc.

## Development Environment

### Required Tools
- JDK 17
- Maven 3.8.1+
- Spring Boot 3.4.0
- IDE (such as IntelliJ IDEA)

### Build Project
```bash
# Clone project
git clone <project-url>

# Enter project directory
cd stock-agent

# Compile and package
mvn clean package
```

## Run Project

### Local Run
```bash
# Start stock-service
cd stock/stock-service
mvn spring-boot:run

# Start agent-service
cd agent/agent-service
mvn spring-boot:run
```

### Docker Run (Recommended)
The project supports containerized deployment via Docker. All services can be started with one command using docker-compose.

```bash
# Build and start all services
docker-compose up -d

# Check service status
docker-compose ps

# Stop all services
docker-compose down
```

### Port Information
- stock-service: 8081
- agent-service: 8082
- MySQL: 3306
- Redis: 6379

## Configuration Description

The project provides multiple environment configurations:
- Default configuration: application.yml
- Docker environment configuration: application-docker.yml

To customize the configuration, you can modify the corresponding configuration files or override them through environment variables.