# This file was autogenerated by uv via the following command:
#    uv export --format requirements-txt --no-emit-project --no-hashes --no-dev -o requirements.txt
asttokens==3.0.1
    # via stack-data
beautifulsoup4==4.14.3
    # via yahooquery
bqplot==0.12.45
    # via market-analy
certifi==2026.1.4
    # via
    #   curl-cffi
    #   requests
cffi==2.0.0
    # via curl-cffi
charset-normalizer==3.4.4
    # via requests
colorama==0.4.6 ; sys_platform == 'win32'
    # via
    #   ipython
    #   tqdm
comm==0.2.3
    # via ipywidgets
contourpy==1.3.2 ; python_full_version < '3.11'
    # via matplotlib
contourpy==1.3.3 ; python_full_version >= '3.11'
    # via matplotlib
curl-cffi==0.14.0
    # via yahooquery
cycler==0.12.1
    # via matplotlib
decorator==5.2.1
    # via ipython
exceptiongroup==1.3.1 ; python_full_version < '3.11'
    # via ipython
exchange-calendars==4.13.1
    # via
    #   market-analy
    #   market-prices
executing==2.2.1
    # via stack-data
fonttools==4.61.1
    # via matplotlib
idna==3.11
    # via requests
ipython==8.38.0 ; python_full_version < '3.11'
    # via ipywidgets
ipython==9.10.0 ; python_full_version >= '3.11'
    # via ipywidgets
ipython-pygments-lexers==1.1.1 ; python_full_version >= '3.11'
    # via ipython
ipyvue==1.11.3
    # via ipyvuetify
ipyvuetify==1.11.3
    # via market-analy
ipywidgets==8.1.8
    # via
    #   bqplot
    #   ipyvue
    #   market-analy
jedi==0.19.2
    # via ipython
jinja2==3.1.6
    # via market-analy
jupyterlab-widgets==3.0.16
    # via ipywidgets
kiwisolver==1.4.9
    # via matplotlib
korean-lunar-calendar==0.3.1
    # via exchange-calendars
lxml==6.0.2
    # via yahooquery
market-prices==0.12.12
    # via market-analy
markupsafe==3.0.3
    # via jinja2
matplotlib==3.10.8
    # via market-analy
matplotlib-inline==0.2.1
    # via ipython
numpy==2.2.6 ; python_full_version < '3.11'
    # via
    #   bqplot
    #   contourpy
    #   exchange-calendars
    #   market-analy
    #   market-prices
    #   matplotlib
    #   pandas
numpy==2.4.2 ; python_full_version >= '3.11'
    # via
    #   bqplot
    #   contourpy
    #   exchange-calendars
    #   market-analy
    #   market-prices
    #   matplotlib
    #   pandas
packaging==26.0
    # via matplotlib
pandas==2.3.3
    # via
    #   bqplot
    #   exchange-calendars
    #   market-analy
    #   market-prices
    #   yahooquery
parso==0.8.5
    # via jedi
pexpect==4.9.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
    # via ipython
pillow==12.1.0
    # via matplotlib
prompt-toolkit==3.0.52
    # via ipython
ptyprocess==0.7.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
    # via pexpect
pure-eval==0.2.3
    # via stack-data
pycparser==3.0 ; implementation_name != 'PyPy'
    # via cffi
pygments==2.19.2
    # via
    #   ipython
    #   ipython-pygments-lexers
pyluach==2.3.0
    # via exchange-calendars
pyparsing==3.3.2
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   matplotlib
    #   pandas
pytz==2025.2
    # via pandas
requests==2.32.5
    # via requests-futures
requests-futures==1.0.2
    # via yahooquery
six==1.17.0
    # via python-dateutil
soupsieve==2.8.3
    # via beautifulsoup4
stack-data==0.6.3
    # via ipython
toolz==1.1.0
    # via exchange-calendars
tqdm==4.67.3
    # via yahooquery
traitlets==5.14.3
    # via
    #   bqplot
    #   ipython
    #   ipywidgets
    #   market-analy
    #   matplotlib-inline
    #   traittypes
traittypes==0.2.3
    # via bqplot
typing-extensions==4.15.0
    # via
    #   beautifulsoup4
    #   exceptiongroup
    #   ipython
tzdata==2025.3
    # via
    #   exchange-calendars
    #   market-analy
    #   market-prices
    #   pandas
urllib3==2.6.3
    # via requests
valimp==0.4
    # via market-prices
wcwidth==0.5.3
    # via prompt-toolkit
widgetsnbextension==4.0.15
    # via ipywidgets
yahooquery==2.4.1
    # via market-prices
