docs/component/online.rst
.. _online_serving:
.. currentmodule:: qlib
.. image:: ../_static/img/online_serving.png :align: center
In addition to backtesting, one way to test a model is effective is to make predictions in real market conditions or even do real trading based on those predictions.
Online Serving is a set of modules for online models using the latest data,
which including Online Manager <#Online Manager>, Online Strategy <#Online Strategy>, Online Tool <#Online Tool>, Updater <#Updater>.
Here <https://github.com/microsoft/qlib/tree/main/examples/online_srv>_ are several examples for reference, which demonstrate different features of Online Serving.
If you have many models or task needs to be managed, please consider Task Management <../advanced/task_management.html>.
The examples <https://github.com/microsoft/qlib/tree/main/examples/online_srv> are based on some components in Task Management <../advanced/task_management.html>_ such as TrainerRM or Collector.
NOTE: User should keep his data source updated to support online serving. For example, Qlib provides a batch of scripts <https://github.com/microsoft/qlib/blob/main/scripts/data_collector/yahoo/README.md#automatic-update-of-daily-frequency-datafrom-yahoo-finance>_ to help users update Yahoo daily data.
Known limitations currently
limitations of public data <https://github.com/microsoft/qlib/issues/215#issuecomment-766293563>_.. automodule:: qlib.workflow.online.manager :members: :noindex:
.. automodule:: qlib.workflow.online.strategy :members: :noindex:
.. automodule:: qlib.workflow.online.utils :members: :noindex:
.. automodule:: qlib.workflow.online.update :members: :noindex: