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Add etf-pattern-match-pybind11 to time series analysis (#125)

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ETF pattern matching tool using DTW with cosine pre-filtering,
43x C++ acceleration via pybind11, pytest suite, bilingual docs.
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@@ -219,6 +219,7 @@ Note: 如果标有`Live Trading` 表示具有实时交易功能（至少一个
- [statsmodels](http://statsmodels.sourceforge.net) - 允许用户探索数据、估计统计模型和执行统计测试的 Python 模块。
- [tsfresh](https://github.com/blue-yonder/tsfresh) - 从时间序列中自动提取相关特征。
- [Facebook Prophet](https://github.com/facebook/prophet) - 用于为具有线性或非线性增长的多个季节性的时间序列数据生成高质量预测的工具。
- [etf-pattern-match-pybind11](https://github.com/redamancy231-create/etf-pattern-match-pybind11) | `Python`, `C++`, `pybind11` | - ETF形态匹配工具，基于DTW动态时间规整+余弦距离预筛选，C++加速实现43倍性能提升，含pytest测试和双语文档。
- [pmdarima](https://github.com/alkaline-ml/pmdarima) - 一个统计库，旨在填补 Python 时间序列分析功能的空白，包括与 R 的 auto.arima 函数等效的功能。
## 可视化 Visualization