财经分析工具包
Business专业的财经分析工具包,提供股票分析、市场趋势预测、投资建议等功能,帮助Agent进行财经决策和市场研究。
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财经分析工具包
专业的财经分析工具包,为AI Agent提供全面的财经分析能力。包含股票数据分析、市场趋势预测、投资组合优化等功能。
📊 功能模块
1. 股票数据分析
- 实时股票价格获取
- 历史数据查询与分析
- 技术指标计算(MA, RSI, MACD等)
- 基本面数据获取
2. 市场趋势分析
- 大盘指数监控
- 行业板块分析
- 市场情绪指标
- 宏观经济数据集成
3. 投资建议引擎
- 风险评估模型
- 投资组合优化
- 资产配置建议
- 止损止盈策略
4. 财经新闻聚合
- 实时财经新闻
- 热点事件分析
- 舆情监控
- 影响评估
🚀 快速开始
安装依赖
pip install yfinance pandas numpy matplotlib
基本使用示例
from finance_toolkit import StockAnalyzer
# 创建分析器
analyzer = StockAnalyzer()
# 获取股票数据
data = analyzer.get_stock_data("AAPL", period="1mo")
# 技术分析
analysis = analyzer.technical_analysis(data)
print(analysis)
📁 文件结构
finance-toolkit/
├── SKILL.md # 技能说明文档
├── README.md # 用户文档
├── finance_toolkit.py # 核心Python模块
├── stock_analyzer.py # 股票分析模块
├── market_trends.py # 市场趋势模块
├── investment_advisor.py # 投资建议模块
├── news_aggregator.py # 新闻聚合模块
└── examples/ # 使用示例
🔧 工具函数
股票分析工具
get_stock_price(symbol)- 获取实时股价get_historical_data(symbol, period)- 获取历史数据calculate_technical_indicators(data)- 计算技术指标analyze_fundamentals(symbol)- 分析基本面
市场分析工具
get_market_indices()- 获取大盘指数analyze_sector_performance()- 分析行业表现get_market_sentiment()- 获取市场情绪predict_market_trend()- 预测市场趋势
投资建议工具
assess_risk_profile()- 评估风险偏好optimize_portfolio(assets)- 优化投资组合generate_investment_advice()- 生成投资建议set_stop_loss_targets()- 设置止损止盈
📈 数据源
- Yahoo Finance (yfinance)
- 公开市场数据API
- 财经新闻API
- 宏观经济数据库
⚠️ 免责声明
本工具包提供的分析结果仅供参考,不构成投资建议。投资有风险,决策需谨慎。
🔗 相关资源
📝 更新日志
- v1.0.0 (2026-02-20): 初始版本发布,包含基础股票分析和市场趋势功能