ml-finance-python
python scripts for finance machine learning
git clone https://9o.is/git/ml-finance-python.git
environment.yml
(3817B)
1 name: env_zipline
2 channels:
3 - Quantopian
4 - defaults
5 - conda-forge
6 - anaconda
7 - pytorch
8 - quantopian
9 dependencies:
10 - alembic=0.7.7
11 - appdirs=1.4.3
12 - asn1crypto=0.24.0
13 - attrs=18.2.0
14 - automat=0.7.0
15 - backcall=0.1.0
16 - bcolz=0.12.1
17 - binutils_impl_linux-64=2.31.1
18 - binutils_linux-64=2.31.1
19 - blas=1.0
20 - bleach=2.1.4
21 - blosc=1.15.0
22 - bottleneck=1.2.1
23 - bzip2=1.0.6
24 - ca-certificates=2019.1.23
25 - certifi=2018.8.24
26 - cffi=1.11.5
27 - chardet=3.0.4
28 - click=6.7
29 - constantly=15.1.0
30 - contextlib2=0.5.5
31 - cryptography=2.3.1
32 - cycler=0.10.0
33 - cyordereddict=0.2.2
34 - cython=0.28.5
35 - dbus=1.13.6
36 - decorator=4.3.0
37 - empyrical=0.5.0
38 - entrypoints=0.2.3
39 - expat=2.2.6
40 - fontconfig=2.13.0
41 - freetype=2.9.1
42 - funcsigs=1.0.2
43 - gcc_impl_linux-64=7.3.0
44 - gcc_linux-64=7.3.0
45 - glib=2.56.2
46 - gmp=6.1.2
47 - gst-plugins-base=1.14.0
48 - gstreamer=1.14.0
49 - gxx_impl_linux-64=7.3.0
50 - gxx_linux-64=7.3.0
51 - h5py=2.8.0
52 - hdf5=1.10.2
53 - html5lib=1.0.1
54 - hyperlink=18.0.0
55 - icu=58.2
56 - idna=2.7
57 - incremental=17.5.0
58 - intel-openmp=2019.1
59 - intervaltree=2.1.0
60 - ipykernel=4.10.0
61 - ipython=6.5.0
62 - ipython_genutils=0.2.0
63 - ipywidgets=7.4.1
64 - jedi=0.12.1
65 - jinja2=2.10
66 - joblib=0.12.3
67 - jpeg=9b
68 - jsonschema=2.6.0
69 - jupyter=1.0.0
70 - jupyter_client=5.2.3
71 - jupyter_console=5.2.0
72 - jupyter_contrib_core=0.3.3
73 - jupyter_contrib_nbextensions=0.5.0
74 - jupyter_core=4.4.0
75 - jupyter_highlight_selected_word=0.2.0
76 - jupyter_latex_envs=1.4.4
77 - jupyter_nbextensions_configurator=0.4.0
78 - kiwisolver=1.0.1
79 - libedit=3.1.20181209
80 - libffi=3.2.1
81 - libgcc=7.2.0
82 - libgcc-ng=8.2.0
83 - libgfortran-ng=7.3.0
84 - libgpuarray=0.7.6
85 - libpng=1.6.36
86 - libsodium=1.0.16
87 - libstdcxx-ng=8.2.0
88 - libuuid=1.0.3
89 - libxcb=1.13
90 - libxml2=2.9.9
91 - libxslt=1.1.33
92 - logbook=0.12.5
93 - lru-dict=1.1.4
94 - lxml=4.2.5
95 - lzo=2.10
96 - markupsafe=1.0
97 - matplotlib=2.2.3
98 - mistune=0.8.3
99 - mkl=2018.0.3
100 - mkl-service=1.1.2
101 - mkl_fft=1.0.6
102 - mkl_random=1.0.1
103 - mock=2.0.0
104 - multipledispatch=0.6.0
105 - nbconvert=5.3.1
106 - nbformat=4.4.0
107 - ncurses=6.1
108 - networkx=1.11
109 - notebook=5.6.0
110 - numexpr=2.6.1
111 - numpy=1.14.6
112 - numpy-base=1.14.6
113 - openssl=1.0.2r
114 - pandas=0.22.0
115 - pandas-datareader=0.6.0
116 - pandoc=2.2.3.2
117 - pandocfilters=1.4.2
118 - parso=0.3.1
119 - patsy=0.5.0
120 - pbr=5.1.3
121 - pcre=8.42
122 - pexpect=4.6.0
123 - pickleshare=0.7.4
124 - prometheus_client=0.3.1
125 - prompt_toolkit=1.0.15
126 - ptyprocess=0.6.0
127 - pyasn1=0.4.5
128 - pyasn1-modules=0.2.2
129 - pycparser=2.19
130 - pygments=2.2.0
131 - pygpu=0.7.6
132 - pymc3=3.5
133 - pyopenssl=18.0.0
134 - pyparsing=2.3.1
135 - pyqt=5.6.0
136 - pysocks=1.6.8
137 - pytables=3.4.4
138 - python=3.5.6
139 - python-dateutil=2.7.3
140 - pytz=2018.5
141 - pyyaml=3.13
142 - pyzmq=17.1.2
143 - qt=5.6.3
144 - qtconsole=4.4.3
145 - readline=7.0
146 - requests=2.20.1
147 - requests-file=1.4.3
148 - requests-ftp=0.3.1
149 - scikit-learn=0.20.0
150 - scipy=1.1.0
151 - seaborn=0.9.0
152 - send2trash=1.5.0
153 - service_identity=17.0.0
154 - setuptools=40.2.0
155 - simplegeneric=0.8.1
156 - sip=4.19.12
157 - six=1.11.0
158 - snappy=1.1.7
159 - sortedcontainers=1.4.4
160 - sqlalchemy=1.2.11
161 - sqlite=3.26.0
162 - statsmodels=0.9.0
163 - ta-lib=0.4.9
164 - terminado=0.8.1
165 - testpath=0.3.1
166 - theano=1.0.2
167 - tk=8.6.8
168 - toolz=0.9.0
169 - tornado=5.1.1
170 - tqdm=4.31.1
171 - trading-calendars=1.6.1
172 - traitlets=4.3.2
173 - twisted=18.7.0
174 - urllib3=1.23
175 - wcwidth=0.1.7
176 - webencodings=0.5.1
177 - wheel=0.31.1
178 - widgetsnbextension=3.4.1
179 - wrapt=1.10.11
180 - xz=5.2.4
181 - yaml=0.1.7
182 - zeromq=4.2.5
183 - zipline=1.3.0
184 - zlib=1.2.11
185 - zope=1.0
186 - zope.interface=4.5.0
187 - pip:
188 - mako==1.0.7
189 - pip==19.0.3
190 - pyfolio==0.5.1
191 prefix: /home/stefan/.pyenv/versions/miniconda3-latest/envs/env_zipline
192