Name		Name	Last commit message	Last commit date
parent directory ..
dymac_import		dymac_import
my		my
np		np
DecoratorTest.py		DecoratorTest.py
DecoratorTest1.py		DecoratorTest1.py
DecoratorTest3.py		DecoratorTest3.py
SingletonTest.py		SingletonTest.py
__init__.py		__init__.py
abu_local_env.py		abu_local_env.py
c10.py		c10.py
c11.py		c11.py
c2.py		c2.py
c3.py		c3.py
c4.py		c4.py
c5.py		c5.py
c6.py		c6.py
c7.py		c7.py
c8.py		c8.py
c9.py		c9.py
cc2.py		cc2.py
cc5.py		cc5.py
extA.py		extA.py
extB.py		extB.py
extC.py		extC.py
graphviz.png		graphviz.png
happy_life.py		happy_life.py
readme.md		readme.md
stock_days.py		stock_days.py
stock_dream_ml.py		stock_dream_ml.py
test_3.ipynb		test_3.ipynb
test_4.ipynb		test_4.ipynb
test_lambda.py		test_lambda.py
test_make_kl_df.py		test_make_kl_df.py
test_pandas.py		test_pandas.py
test_query_stock_info.py		test_query_stock_info.py
test_run_look_back.py		test_run_look_back.py
test_search_to_symbol_dict.py		test_search_to_symbol_dict.py
tmp_stock.npy		tmp_stock.npy

readme.md

量化交易之路 python代码

提供了python版本的代码示例实现，但请尽量能熟练使用notebook，使用了交互式操作的ipython notebook便于量化交易策略的思路快速实现，检验，面向过程的步骤，强大的可视化内嵌进一步引导思路，方便将零散的思路一点一点变成代码，验证代码的有效性，以及更多的实验特性