将策略或者资产包的表现可视化。大量参考以及模仿自 pyfolio ,包括图的配置以及代码。
This tool is used to visualize the perfomance of a portfolio. Much of the codes and samples come from the original referenced project: pyfolio
lxml matplotlib numpy pandas seaborn tushare
首先将代码 clone
至本地:
git clone https://github.com/ChinaQuants/VisualPortfolio.git (如果你是从github获取)
安装
cd VisualPortfolio python setpy.py install
In [1]: %matplotlib inline
In [2]: from VisualPortfolio import createPerformanceTearSheet
In [3]: from pandas_datareader import data
In [4]: prices = data.get_data_yahoo('600000.ss')['Close']
In [5]: benchmark = data.get_data_yahoo('000300.ss')['Close']
......: benchmark.name = "000300.ss"
In [6]: perf_matric, perf_df, rollingRisk = createPerformanceTearSheet(prices=prices, benchmark=benchmark)