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Python算法交易
book

Python算法交易

by Yves Hilpisch
November 2022
Intermediate to advanced
392 pages
10h 8m
Chinese
China Electric Power Press Ltd.
Content preview from Python算法交易
Python
、
NumPy
、
matplotlib
和
pandas
|
375
In [214]: ret
Out[214]: SPX 0.104995
VIX -0.037526
dtype: float64
In [215]: vol = rets.std() * math.sqrt(252)
In [216]: vol
Out[216]: SPX 0.147902
VIX 1.229086
dtype: float64
In [217]: (ret - 0.01) / vol
Out[217]: SPX 0.642279
VIX -0.038667
dtype: float64
计算两个指数的年化平均回报。
计算年化标准差。
计算无风险短期利率为
1%
的夏普比率。
我们仅针对标准普尔
500
指数计算最大跌幅要涉及更多。对于它的计算,我们使
用
.cummax()
方法记录时间序列到某个日期的运行的历史最大值。参考下面生成
附图
10
中的图的代码。
In [218]: plt.figure(figsize=(10, 6))
spxvix['SPX'].plot(label='S&P 500')
spxvix['SPX'].cummax().plot(label='running maximum')
plt.legend(loc=0);
实例化一个新的图形对象。
绘制标准普尔 ...
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Publisher Resources

ISBN: 9787519869694