Python-金融机器学习进展的Python实现.zip
(预估有个72文件)
finance_ml-master
.vscode
settings.json
44B
datasets.py
982B
examples
miscellaneous
Ch 5.ipynb
432KB
Ch 7.ipynb
15KB
Ch 11.ipynb
555B
Portfolio Analysis.ipynb
3KB
Ch 14.ipynb
43KB
Ch 10.ipynb
4KB
Ch 20.ipynb
9KB
MLFinance.ipynb
21KB
Ch 3.ipynb
42KB
Bayes by Backprop.ipynb
46KB
Ch 9.ipynb
8KB
Ch 13.ipynb
71KB
Finance Basic.ipynb
942B
Ch 4.ipynb
277KB
DQN.ipynb
131KB
Ch 6.ipynb
44KB
Ch 8.ipynb
43KB
Labeling.ipynb
76KB
datasets
Google.csv
402KB
LICENSE
1KB
setup.py
269B
README.md
2KB
finance_ml
labeling
sampling.py
973B
utils.py
2KB
__init__.py
213B
returns.py
536B
sizes.py
3KB
sides.py
1KB
barriers.py
9KB
breakout
get_bsadf.py
2KB
__init__.py
0B
multiprocessing
partition.py
1KB
utils.py
2KB
__init__.py
33B
pandas.py
2KB
utils.py
419B
__init__.py
0B
sampling
bootstrap.py
831B
decay.py
656B
utils.py
489B
time_weight.py
2KB
co_events.py
1KB
__init__.py
171B
weight.py
805B
clustering
allocation.py
2KB
utils.py
613B
__init__.py
116B
quasi.py
1KB
metrics.py
214B
datasets
generate.py
980B
__init__.py
34B
risk
__init__.py
48B
failure.py
1KB
features
importance.py
6KB
__init__.py
235B
entropy.py
4KB
orth.py
2KB
fraction.py
3KB
model_selection
hyper.py
2KB
kfold.py
9KB
score.py
3KB
utils.py
6KB
distribution.py
269B
__init__.py
230B
pipeline.py
317B
stats
vol.py
919B
__init__.py
70B
rolling.py
285B
constants.py
19B
.gitignore
558B
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