[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-94100":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":8,"htmlUrl":8,"language":9,"languages":8,"totalLinesOfCode":8,"stars":10,"forks":11,"watchers":12,"openIssues":11,"contributorsCount":11,"subscribersCount":11,"size":11,"stars1d":13,"stars7d":13,"stars30d":13,"stars90d":11,"forks30d":11,"starsTrendScore":14,"compositeScore":15,"rankGlobal":8,"rankLanguage":8,"license":8,"archived":16,"fork":16,"defaultBranch":17,"hasWiki":18,"hasPages":16,"topics":19,"createdAt":8,"pushedAt":8,"updatedAt":20,"readmeContent":21,"aiSummary":8,"trendingCount":11,"starSnapshotCount":11,"syncStatus":22,"lastSyncTime":23,"discoverSource":24},94100,"lianghua","anderson6666\u002Flianghua","anderson6666",null,"Python",113,0,102,7,21,52.2,false,"master",true,[],"2026-08-01 04:02:10","# LiangHua - 股票量化预测软件\n\n全免费开源的股票量化预测软件，支持 A股\u002F美股\u002F港股\u002F加密货币，包含机器学习趋势预测、策略回测、AI分析报告等功能。\n\n## ✨ 功能特性\n\n- 📊 **多市场支持**：A股（baostock）\n- 📈 **技术指标分析**：MA、MACD、RSI、布林带、KDJ 等\n- 🤖 **机器学习预测**：多模型集成（XGBoost + LightGBM + RandomForest）+ 三分类策略\n- 📉 **策略回测**：4种经典策略 + 自适应策略推荐 + 回测结果自动记录\n- 📝 **AI分析师报告**：Agnes AI 生成自然语言分析报告\n- 🔄 **自我优化**：置信度过滤、超参数优化（Optuna）、特征选择\n\n## 🚀 快速开始\n\n### 方法一：一键启动（推荐）\n\n**Windows**：\n```bash\n双击 start.bat\n```\n\n**Linux\u002FMac**：\n```bash\nchmod +x start.sh\n.\u002Fstart.sh\n```\n\n### 方法二：手动启动\n\n```bash\n# 安装依赖\npip install -r requirements.txt\n\n# 启动应用\nstreamlit run app.py\n```\n\n### 访问地址\n浏览器打开 `http:\u002F\u002Flocalhost:8501`\n\n## 📦 依赖\n\n```\nstreamlit>=1.30.0\npandas>=1.5.0\nnumpy>=1.23.0\nplotly>=5.18.0\nscikit-learn>=1.2.0\nakshare>=1.12.0\nyfinance>=0.2.40\nbaostock>=0.8.8\nxgboost>=2.0.0\nlightgbm>=4.0.0\noptuna>=3.0.0\n```\n\n## 🎯 使用说明\n\n1. **选择市场**：A股、美股、港股、加密货币\n2. **输入代码**：\n   - A股：`600519`（贵州茅台）、`000001`（平安银行）\n   - 美股：`AAPL`、`TSLA`、`MSFT`\n   - 港股：`00700`（腾讯）、`09988`（阿里）\n   - 加密货币：`BTC-USD`、`ETH-USD`\n3. **选择日期范围**\n4. **点击「开始分析」**\n\n\n\n## 📁 项目结构\n\n```\nLiangHua\u002F\n├── app.py              # Streamlit 主界面\n├── data.py             # 数据获取模块\n├── indicators.py       # 技术指标计算\n├── backtest.py         # 策略回测引擎\n├── predict.py          # 机器学习预测模块\n├── agnes_agent.py      # Agnes AI 调用接口\n├── optimize.py         # 自我优化模块\n├── main.py             # 启动入口\n├── start.bat           # Windows 一键启动\n├── start.sh            # Linux\u002FMac 一键启动\n├── requirements.txt    # 依赖清单\n├── .gitignore          # Git 忽略文件\n└── .streamlit\u002F\n    └── secrets.toml.example  # API Key 配置模板\n```\n\n## ⚠️ 免责声明\n\n本软件仅用于技术学习与研究，所有分析、预测、回测结果均为历史数据统计与概率参考，**不构成任何投资建议**。金融市场无法被准确预测，据此投资风险自负。\n\n## 📄 开源协议\n\nMIT License\n\n",2,"2026-07-31 02:30:05","CREATED_QUERY"]