WIP

2026-09-09 11:16:09 +08:00 · 2022-07-16 15:41:36 +08:00
parent 47ea8722ff
commit e0931585df
12 changed files with 1626 additions and 6 deletions
@@ -1,2 +1,94 @@
+/data/
+
 */.ipynb_checkpoints/*
 */__pycache__/*
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# DotEnv configuration
+.env
+
+# Database
+*.db
+*.rdb
+
+# Pycharm
+.idea
+
+# VS Code
+.vscode/
+
+# Spyder
+.spyproject/
+
+# Jupyter NB Checkpoints
+.ipynb_checkpoints/
+
+# exclude data from source control by default
+/data/
+
+# Mac OS-specific storage files
+.DS_Store
+
+# vim
+*.swp
+*.swo
+
+# Mypy cache
+.mypy_cache/
@@ -111,4 +111,4 @@ if __name__ == "__main__":
    )
    args = parser.parse_args()

-    main(args)
+    main(args)
@@ -0,0 +1,20 @@
+
+
+To source the data first walk through the `make_wind_dataset` notebook.
+
+To generate forecasts for a station then run
+
+
+```{bash}
+python GPGenerator.py 
+    --kernel={volt, sm, matern} ## kernel choice
+    --stn_idx=0 ## station index in the dataset
+    --mean={ewma, constant} ## mean choice
+    --ntrain=400 ## training window
+    --n_test_times=100 ## number of test time points
+```
+
+
+experiments/stocks/LSTMGenerator.py
+experiments/stocks/GenerateMultiMeanPreds.py
+experiments/stocks/ForecastGenerator.py
@@ -12,4 +12,4 @@ python GPGenerator.py
    --mean={ewma, constant} ## mean choice
    --ntrain=400 ## training window
    --n_test_times=100 ## number of test time points
-```
+```
@@ -0,0 +1,35 @@
+# 2022-07-16 15:14:59 make a new conda env for volt 
+
+```sh
+export PROJ=volt
+mamba create -y --name $PROJ python=3.7 -c pytorch -c conda-forge
+
+# now I want to install pytorch with conda to avoid cuda issues, make sure we get the right version by looking at nvidia-smi to get cuda version. pick the closest
+mamba install -y  pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch
+mamba install botorch -c pytorch -c gpytorch -c conda-forge
+
+# install kernel
+mamba install -y ipykernel pip ipywidgets
+python -m ipykernel install --user --name $PROJ --display-name $PROJ
+
+# install this
+pip install -e .
+```
+
+
+# data
+
+instead of using robinhood (US only) we will use tingo
+
+```py
+import datetime
+import pandas_datareader as pdr
+# restricting to 1996-01-04 00:00:00 2019-06-28 00:00:00
+api_key = os.environ["TIINGO_API_KEY"]
+start = datetime.datetime(1996, 1, 4)
+end = datetime.datetime(2019, 6, 28)
+tickers = ["MSFT", "AAPL", "XOM"] #, "TUR", "RSX", "EWY", "EWS", "VTIP", "TLT", "BWX", "PDBC", "IAU", "VNQI"]
+
+symbols = pdr.get_data_tiingo(tickers, api_key=api_key, start=start, end=end)
+symbols
+```
@@ -438,7 +438,7 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
@@ -452,7 +452,20 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.9.9"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": true,
+   "sideBar": true,
+   "skip_h1_title": false,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {},
+   "toc_section_display": true,
+   "toc_window_display": false
  }
 },
 "nbformat": 4,
@@ -0,0 +1,184 @@
+name: volt
+channels:
+  - conda-forge
+  - pytorch
+dependencies:
+  - _libgcc_mutex=0.1=conda_forge
+  - _openmp_mutex=4.5=2_kmp_llvm
+  - argon2-cffi=21.3.0=pyhd8ed1ab_0
+  - argon2-cffi-bindings=21.2.0=py37h540881e_2
+  - attrs=21.4.0=pyhd8ed1ab_0
+  - backcall=0.2.0=pyh9f0ad1d_0
+  - backports=1.0=py_2
+  - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0
+  - beautifulsoup4=4.11.1=pyha770c72_0
+  - blas=2.115=mkl
+  - blas-devel=3.9.0=15_linux64_mkl
+  - bleach=5.0.1=pyhd8ed1ab_0
+  - botorch=0.6.5=0
+  - brotli=1.0.9=h166bdaf_7
+  - brotli-bin=1.0.9=h166bdaf_7
+  - brotlipy=0.7.0=py37h540881e_1004
+  - bzip2=1.0.8=h7f98852_4
+  - ca-certificates=2022.6.15=ha878542_0
+  - certifi=2022.6.15=py37h89c1867_0
+  - cffi=1.15.1=py37h43b0acd_0
+  - charset-normalizer=2.1.0=pyhd8ed1ab_0
+  - colorama=0.4.5=pyhd8ed1ab_0
+  - cryptography=37.0.4=py37h38fbfac_0
+  - cudatoolkit=11.3.1=h9edb442_10
+  - cycler=0.11.0=pyhd8ed1ab_0
+  - debugpy=1.6.0=py37hd23a5d3_0
+  - decorator=5.1.1=pyhd8ed1ab_0
+  - defusedxml=0.7.1=pyhd8ed1ab_0
+  - entrypoints=0.4=pyhd8ed1ab_0
+  - ffmpeg=4.3=hf484d3e_0
+  - flit-core=3.7.1=pyhd8ed1ab_0
+  - fonttools=4.34.4=py37h540881e_0
+  - freetype=2.10.4=h0708190_1
+  - giflib=5.2.1=h36c2ea0_2
+  - gmp=6.2.1=h58526e2_0
+  - gnutls=3.6.13=h85f3911_1
+  - idna=3.3=pyhd8ed1ab_0
+  - importlib-metadata=4.11.4=py37h89c1867_0
+  - importlib_resources=5.8.0=pyhd8ed1ab_0
+  - ipykernel=6.15.1=pyh210e3f2_0
+  - ipython=7.33.0=py37h89c1867_0
+  - ipython_genutils=0.2.0=py_1
+  - ipywidgets=7.7.1=pyhd8ed1ab_0
+  - jedi=0.18.1=py37h89c1867_1
+  - jinja2=3.1.2=pyhd8ed1ab_1
+  - joblib=1.1.0=pyhd8ed1ab_0
+  - jpeg=9e=h166bdaf_2
+  - jsonschema=4.7.2=pyhd8ed1ab_0
+  - jupyter_client=7.3.4=pyhd8ed1ab_0
+  - jupyter_core=4.10.0=py37h89c1867_0
+  - jupyterlab_pygments=0.2.2=pyhd8ed1ab_0
+  - jupyterlab_widgets=1.1.1=pyhd8ed1ab_0
+  - kiwisolver=1.4.4=py37h7cecad7_0
+  - lame=3.100=h7f98852_1001
+  - lcms2=2.12=hddcbb42_0
+  - ld_impl_linux-64=2.36.1=hea4e1c9_2
+  - lerc=3.0=h9c3ff4c_0
+  - libblas=3.9.0=15_linux64_mkl
+  - libbrotlicommon=1.0.9=h166bdaf_7
+  - libbrotlidec=1.0.9=h166bdaf_7
+  - libbrotlienc=1.0.9=h166bdaf_7
+  - libcblas=3.9.0=15_linux64_mkl
+  - libdeflate=1.12=h166bdaf_0
+  - libffi=3.4.2=h7f98852_5
+  - libgcc-ng=12.1.0=h8d9b700_16
+  - libgfortran-ng=12.1.0=h69a702a_16
+  - libgfortran5=12.1.0=hdcd56e2_16
+  - libgomp=12.1.0=h8d9b700_16
+  - libiconv=1.17=h166bdaf_0
+  - liblapack=3.9.0=15_linux64_mkl
+  - liblapacke=3.9.0=15_linux64_mkl
+  - libnsl=2.0.0=h7f98852_0
+  - libpng=1.6.37=h753d276_3
+  - libsodium=1.0.18=h36c2ea0_1
+  - libstdcxx-ng=12.1.0=ha89aaad_16
+  - libtiff=4.4.0=hc85c160_1
+  - libwebp=1.2.2=h3452ae3_0
+  - libwebp-base=1.2.2=h7f98852_1
+  - libxcb=1.13=h7f98852_1004
+  - libzlib=1.2.12=h166bdaf_2
+  - llvm-openmp=14.0.4=he0ac6c6_0
+  - lz4-c=1.9.3=h9c3ff4c_1
+  - markupsafe=2.1.1=py37h540881e_1
+  - matplotlib-base=3.5.2=py37hc347a89_0
+  - matplotlib-inline=0.1.3=pyhd8ed1ab_0
+  - mistune=0.8.4=py37h5e8e339_1005
+  - mkl=2022.1.0=h84fe81f_915
+  - mkl-devel=2022.1.0=ha770c72_916
+  - mkl-include=2022.1.0=h84fe81f_915
+  - munkres=1.1.4=pyh9f0ad1d_0
+  - nbclient=0.6.6=pyhd8ed1ab_0
+  - nbconvert=6.5.0=pyhd8ed1ab_0
+  - nbconvert-core=6.5.0=pyhd8ed1ab_0
+  - nbconvert-pandoc=6.5.0=pyhd8ed1ab_0
+  - nbformat=5.4.0=pyhd8ed1ab_0
+  - ncurses=6.3=h27087fc_1
+  - nest-asyncio=1.5.5=pyhd8ed1ab_0
+  - nettle=3.6=he412f7d_0
+  - notebook=6.4.12=pyha770c72_0
+  - numpy=1.21.6=py37h976b520_0
+  - openh264=2.1.1=h780b84a_0
+  - openjpeg=2.4.0=hb52868f_1
+  - openssl=1.1.1q=h166bdaf_0
+  - opt_einsum=3.3.0=pyhd8ed1ab_1
+  - packaging=21.3=pyhd8ed1ab_0
+  - pandas=1.3.5=py37he8f5f7f_0
+  - pandoc=2.18=ha770c72_0
+  - pandocfilters=1.5.0=pyhd8ed1ab_0
+  - parso=0.8.3=pyhd8ed1ab_0
+  - patsy=0.5.2=pyhd8ed1ab_0
+  - pexpect=4.8.0=pyh9f0ad1d_2
+  - pickleshare=0.7.5=py_1003
+  - pillow=9.2.0=py37h44f0d7a_0
+  - pip=22.1.2=pyhd8ed1ab_0
+  - prometheus_client=0.14.1=pyhd8ed1ab_0
+  - prompt-toolkit=3.0.30=pyha770c72_0
+  - psutil=5.9.1=py37h540881e_0
+  - pthread-stubs=0.4=h36c2ea0_1001
+  - ptyprocess=0.7.0=pyhd3deb0d_0
+  - pycparser=2.21=pyhd8ed1ab_0
+  - pygments=2.12.0=pyhd8ed1ab_0
+  - pyopenssl=22.0.0=pyhd8ed1ab_0
+  - pyparsing=3.0.9=pyhd8ed1ab_0
+  - pyro-api=0.1.2=pyhd8ed1ab_0
+  - pyro-ppl=1.8.1=pyhd8ed1ab_0
+  - pyrsistent=0.18.1=py37h540881e_1
+  - pysocks=1.7.1=py37h89c1867_5
+  - python=3.7.12=hb7a2778_100_cpython
+  - python-dateutil=2.8.2=pyhd8ed1ab_0
+  - python-fastjsonschema=2.15.3=pyhd8ed1ab_0
+  - python_abi=3.7=2_cp37m
+  - pytorch=1.12.0=py3.7_cuda11.3_cudnn8.3.2_0
+  - pytorch-mutex=1.0=cuda
+  - pytz=2022.1=pyhd8ed1ab_0
+  - pyzmq=23.2.0=py37h0c0c2a8_0
+  - readline=8.1.2=h0f457ee_0
+  - requests=2.28.1=pyhd8ed1ab_0
+  - scikit-learn=1.0.2=py37hf9e9bfc_0
+  - scipy=1.7.3=py37hf2a6cf1_0
+  - seaborn=0.11.2=hd8ed1ab_0
+  - seaborn-base=0.11.2=pyhd8ed1ab_0
+  - send2trash=1.8.0=pyhd8ed1ab_0
+  - setuptools=59.8.0=py37h89c1867_1
+  - six=1.16.0=pyh6c4a22f_0
+  - soupsieve=2.3.1=pyhd8ed1ab_0
+  - sqlite=3.39.1=h4ff8645_0
+  - statsmodels=0.13.2=py37hda87dfa_0
+  - tbb=2021.5.0=h924138e_1
+  - terminado=0.15.0=py37h89c1867_0
+  - threadpoolctl=3.1.0=pyh8a188c0_0
+  - tinycss2=1.1.1=pyhd8ed1ab_0
+  - tk=8.6.12=h27826a3_0
+  - torchaudio=0.12.0=py37_cu113
+  - torchvision=0.13.0=py37_cu113
+  - tornado=6.2=py37h540881e_0
+  - tqdm=4.64.0=pyhd8ed1ab_0
+  - traitlets=5.3.0=pyhd8ed1ab_0
+  - typing-extensions=4.3.0=hd8ed1ab_0
+  - typing_extensions=4.3.0=pyha770c72_0
+  - unicodedata2=14.0.0=py37h540881e_1
+  - urllib3=1.26.10=pyhd8ed1ab_0
+  - wcwidth=0.2.5=pyh9f0ad1d_2
+  - webencodings=0.5.1=py_1
+  - wheel=0.37.1=pyhd8ed1ab_0
+  - widgetsnbextension=3.6.1=pyha770c72_0
+  - xorg-libxau=1.0.9=h7f98852_0
+  - xorg-libxdmcp=1.1.3=h7f98852_0
+  - xz=5.2.5=h516909a_1
+  - zeromq=4.3.4=h9c3ff4c_1
+  - zipp=3.8.0=pyhd8ed1ab_0
+  - zlib=1.2.12=h166bdaf_2
+  - zstd=1.5.2=h8a70e8d_2
+  - pip:
+    - gpytorch==1.7.0
+    - loguru==0.6.0
+    - pyotp==2.6.0
+    - python-dotenv==0.20.0
+    - robin-stocks==2.1.0
+prefix: /home/wassname/miniforge3/envs/volt
@@ -0,0 +1,19 @@
+name: volt
+channels:
+  - conda-forge
+  - pytorch
+dependencies:
+  - python=3.7
+  - pytorch
+  - torchvision
+  - torchaudio
+  - cudatoolkit=11.3
+  - ca-certificates
+  - openssl
+  - ipykernel
+  - pip
+  - ipywidgets
+  - certifi
+  - seaborn
+  - botorch
+prefix: /home/wassname/miniforge3/envs/volt
@@ -0,0 +1,103 @@
+argon2-cffi @ file:///home/conda/feedstock_root/build_artifacts/argon2-cffi_1640817743617/work
+argon2-cffi-bindings @ file:///home/conda/feedstock_root/build_artifacts/argon2-cffi-bindings_1649500320262/work
+attrs @ file:///home/conda/feedstock_root/build_artifacts/attrs_1640799537051/work
+backcall @ file:///home/conda/feedstock_root/build_artifacts/backcall_1592338393461/work
+backports.functools-lru-cache @ file:///home/conda/feedstock_root/build_artifacts/backports.functools_lru_cache_1618230623929/work
+beautifulsoup4 @ file:///home/conda/feedstock_root/build_artifacts/beautifulsoup4_1649463573192/work
+bleach @ file:///home/conda/feedstock_root/build_artifacts/bleach_1656355450470/work
+botorch==0.6.5
+brotlipy @ file:///home/conda/feedstock_root/build_artifacts/brotlipy_1648854164153/work
+certifi==2022.6.15
+cffi @ file:///home/conda/feedstock_root/build_artifacts/cffi_1656782824682/work
+charset-normalizer @ file:///home/conda/feedstock_root/build_artifacts/charset-normalizer_1655906222726/work
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+defusedxml @ file:///home/conda/feedstock_root/build_artifacts/defusedxml_1615232257335/work
+entrypoints @ file:///home/conda/feedstock_root/build_artifacts/entrypoints_1643888246732/work
+fastjsonschema @ file:///home/conda/feedstock_root/build_artifacts/python-fastjsonschema_1641751198313/work/dist
+flit_core @ file:///home/conda/feedstock_root/build_artifacts/flit-core_1645629044586/work/source/flit_core
+fonttools @ file:///home/conda/feedstock_root/build_artifacts/fonttools_1657249376706/work
+gpytorch==1.7.0
+idna @ file:///home/conda/feedstock_root/build_artifacts/idna_1642433548627/work
+importlib-metadata @ file:///home/conda/feedstock_root/build_artifacts/importlib-metadata_1653252814274/work
+importlib-resources @ file:///home/conda/feedstock_root/build_artifacts/importlib_resources_1655356668708/work
+ipykernel @ file:///home/conda/feedstock_root/build_artifacts/ipykernel_1657295047882/work
+ipython @ file:///home/conda/feedstock_root/build_artifacts/ipython_1651240553635/work
+ipython-genutils==0.2.0
+ipywidgets @ file:///home/conda/feedstock_root/build_artifacts/ipywidgets_1655973868664/work
+jedi @ file:///home/conda/feedstock_root/build_artifacts/jedi_1649067102072/work
+Jinja2 @ file:///home/conda/feedstock_root/build_artifacts/jinja2_1654302431367/work
+joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1633637554808/work
+jsonschema @ file:///home/conda/feedstock_root/build_artifacts/jsonschema-meta_1657629641118/work
+jupyter-client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1654730843242/work
+jupyter-core @ file:///home/conda/feedstock_root/build_artifacts/jupyter_core_1652365252517/work
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+jupyterlab-widgets @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_widgets_1655961217661/work
+kiwisolver @ file:///home/conda/feedstock_root/build_artifacts/kiwisolver_1657953088445/work
+loguru==0.6.0
+MarkupSafe @ file:///home/conda/feedstock_root/build_artifacts/markupsafe_1648737551960/work
+matplotlib @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-suite_1651609498426/work
+matplotlib-inline @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-inline_1631080358261/work
+mistune @ file:///home/conda/feedstock_root/build_artifacts/mistune_1635844677043/work
+munkres==1.1.4
+nbclient @ file:///home/conda/feedstock_root/build_artifacts/nbclient_1656688109017/work
+nbconvert @ file:///home/conda/feedstock_root/build_artifacts/nbconvert-meta_1649676641343/work
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+nest-asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1648959695634/work
+notebook @ file:///home/conda/feedstock_root/build_artifacts/notebook_1654636967533/work
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+packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1637239678211/work
+pandas==1.3.5
+pandocfilters @ file:///home/conda/feedstock_root/build_artifacts/pandocfilters_1631603243851/work
+parso @ file:///home/conda/feedstock_root/build_artifacts/parso_1638334955874/work
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+Pillow @ file:///home/conda/feedstock_root/build_artifacts/pillow_1657007166151/work
+prometheus-client @ file:///home/conda/feedstock_root/build_artifacts/prometheus_client_1649447152425/work
+prompt-toolkit @ file:///home/conda/feedstock_root/build_artifacts/prompt-toolkit_1656332401605/work
+psutil @ file:///home/conda/feedstock_root/build_artifacts/psutil_1653089169272/work
+ptyprocess @ file:///home/conda/feedstock_root/build_artifacts/ptyprocess_1609419310487/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
+pycparser @ file:///home/conda/feedstock_root/build_artifacts/pycparser_1636257122734/work
+Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1650904496387/work
+pyOpenSSL @ file:///home/conda/feedstock_root/build_artifacts/pyopenssl_1643496850550/work
+pyotp==2.6.0
+pyparsing @ file:///home/conda/feedstock_root/build_artifacts/pyparsing_1652235407899/work
+pyro-api @ file:///home/conda/feedstock_root/build_artifacts/pyro-api_1614940619870/work
+pyro-ppl @ file:///home/conda/feedstock_root/build_artifacts/pyro-ppl_1648155753098/work
+pyrsistent @ file:///home/conda/feedstock_root/build_artifacts/pyrsistent_1649013358450/work
+PySocks @ file:///home/conda/feedstock_root/build_artifacts/pysocks_1648857264451/work
+python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1626286286081/work
+python-dotenv==0.20.0
+pytz @ file:///home/conda/feedstock_root/build_artifacts/pytz_1647961439546/work
+pyzmq @ file:///home/conda/feedstock_root/build_artifacts/pyzmq_1656183559639/work
+requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1656534056640/work
+robin-stocks==2.1.0
+scikit-learn @ file:///home/conda/feedstock_root/build_artifacts/scikit-learn_1640464152916/work
+scipy @ file:///home/conda/feedstock_root/build_artifacts/scipy_1637806658031/work
+seaborn @ file:///home/conda/feedstock_root/build_artifacts/seaborn-split_1629095986539/work
+Send2Trash @ file:///home/conda/feedstock_root/build_artifacts/send2trash_1628511208346/work
+six @ file:///home/conda/feedstock_root/build_artifacts/six_1620240208055/work
+soupsieve @ file:///home/conda/feedstock_root/build_artifacts/soupsieve_1638550740809/work
+statsmodels @ file:///home/conda/feedstock_root/build_artifacts/statsmodels_1654787101575/work
+terminado @ file:///home/conda/feedstock_root/build_artifacts/terminado_1652790603075/work
+threadpoolctl @ file:///home/conda/feedstock_root/build_artifacts/threadpoolctl_1643647933166/work
+tinycss2 @ file:///home/conda/feedstock_root/build_artifacts/tinycss2_1637612658783/work
+torch==1.12.0
+torchaudio==0.12.0
+torchvision==0.13.0
+tornado @ file:///home/conda/feedstock_root/build_artifacts/tornado_1656937818679/work
+tqdm @ file:///home/conda/feedstock_root/build_artifacts/tqdm_1649051611147/work
+traitlets @ file:///home/conda/feedstock_root/build_artifacts/traitlets_1655411388954/work
+typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1656706066251/work
+unicodedata2 @ file:///home/conda/feedstock_root/build_artifacts/unicodedata2_1649111917568/work
+urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1657224465922/work
+-e git+https://github.com/g-benton/Volt.git@47ea8722ffd82c10f85372f9fb14fbf3cf39962b#egg=voltron
+wcwidth @ file:///home/conda/feedstock_root/build_artifacts/wcwidth_1600965781394/work
+webencodings==0.5.1
+widgetsnbextension @ file:///home/conda/feedstock_root/build_artifacts/widgetsnbextension_1655939017940/work
+zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1649012893348/work
@@ -10,7 +10,7 @@ def GetStockData(symbols, interval='day', span='5year'):
    load_dotenv()
    username = os.getenv("robinhood_username")
    password = os.getenv("robinhood_password")
-    r.login(username, password);
+    r.login(username, password)
    
    data = pd.DataFrame(r.stocks.get_stock_historicals(symbols, interval, span))
    data['date'] = pd.to_datetime(data['begins_at'], format='%Y-%m-%d').dt.date
@@ -19,4 +19,4 @@ def GetStockData(symbols, interval='day', span='5year'):
    data[ohlc] = data[ohlc].astype("float")
    
    return data[['date', 'symbol', 'open_price', 'close_price', 
-                'high_price', 'low_price']]
+                'high_price', 'low_price']]