褚宏光
dab9768b3b
- Revised README.md to enhance clarity on core functionalities and usage instructions. - Updated USAGE.md to reflect the new pipeline script and its parameters. - Modified .gitignore to include additional output files for better management. - Removed outdated output files (all_results.csv, report.md, strong_breakout_up.csv, strong_breakout_down.csv) to streamline data handling. - Improved structure and descriptions in documentation for better user guidance.
60 lines
2.0 KiB
Markdown
60 lines
2.0 KiB
Markdown
# Technical Patterns Lab
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技术形态识别研究与实验仓库，聚焦收敛三角形等形态的批量检测、突破强度计算与可视化验证。
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## 核心功能
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- **收敛三角形检测**：基于枢轴点连线 + 几何约束 + 收敛度判定
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- **批量滚动计算**：支持多股票 × 多交易日的历史检测
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- **突破强度评分**：0~1 连续分数，使用加权求和 + tanh 归一化
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- **可视化验证**：自动绘制检测窗口与完整历史走势
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## 目录结构
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```
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technical-patterns-lab/
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├── src/ # 核心算法
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│ ├── converging_triangle.py # 收敛三角形检测
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│ └── archive/ # 归档代码
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├── scripts/ # 运行脚本
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│ ├── pipeline_converging_triangle.py # 一键流水线
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│ ├── run_converging_triangle.py # 批量检测
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│ ├── report_converging_triangles.py # 生成报告
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│ ├── plot_converging_triangles.py # 绘制图表
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│ ├── triangle_config.py # 统一参数配置
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│ └── archive/ # 归档脚本
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├── data/ # 数据文件
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│ ├── open.pkl, high.pkl, low.pkl, close.pkl, volume.pkl
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├── outputs/ # 输出结果（已被 gitignore 忽略）
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│ └── converging_triangles/ # 收敛三角形结果
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└── docs/ # 文档
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```
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## 快速开始
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```powershell
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# 1. 激活环境
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.\.venv\Scripts\Activate.ps1
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# 2. 安装依赖（首次）
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pip install numpy pandas matplotlib
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# 3. 一键运行流水线（检测 + 报告 + 图表）
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python scripts/pipeline_converging_triangle.py
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```
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## 输出示例
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```
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检测结果: N 个有效三角形
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- 向上突破: N 次
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- 向下突破: N 次
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- 当日报告: outputs/converging_triangles/report.md
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```
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## 相关文档
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- `docs/收敛三角形检测系统-使用指南.md` - 使用流程与参数说明
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- `docs/突破强度计算方法.md` - 突破强度的计算逻辑
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- `docs/converging_triangles_outputs.md` - 输出字段说明
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