.. _bayesline-recipes:

Recipes
=========

Recipes are concise notebooks that address a specific use case. While our tutorials are more comprehensive 
deep dives into the API, recipes are focused on a specific use case, using the API the way we would use it 
ourselves.


.. toctree::
   :caption: Exposure Catch Up Upload and Risk Dataset Update
   :maxdepth: 1

   notebooks/recipe_exposure_catch_up_upload


.. toctree::
   :caption: Exposure Upload Modes
   :maxdepth: 1

   notebooks/recipe_exposure_upload_modes


.. toctree::
   :caption: Computing Idiosyncratic Risk Forecasts
   :maxdepth: 1

   notebooks/recipe_idio_risk_forecasts


.. toctree::
   :caption: Factor Attribution
   :maxdepth: 1

   notebooks/recipe_factor_attribution


.. toctree::
   :caption: Initial Historical Exposure Upload and Risk Dataset Creation (Daily Files)
   :maxdepth: 1

   notebooks/recipe_model_onboarding


.. toctree::
   :caption: Interaction Factors
   :maxdepth: 1

   notebooks/recipe_interaction_factors


.. toctree::
   :caption: Creating a Regional Risk Dataset Based on Exchange Codes
   :maxdepth: 1

   notebooks/recipe_regional_risk_dataset


.. toctree::
   :caption: Portfolio Aligned Universes
   :maxdepth: 1

   notebooks/recipe_universe_from_portfolios