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