How to get Python stubs for datasets APIs?

To successfully integrate and utilize the EODHDUpcomingEarnings dataset in your QuantConnect algorithm and IDE, you can follow the guidance below:

Integration Steps for EODHDUpcomingEarnings

1. Request Data: Integrate data using the following code snippet inside your algorithm's initialize method:

   self.add_universe(EODHDUpcomingEarnings, self.selection_function)
   

   • This method call adds a dynamic universe based on upcoming earnings reports.

2. Example Application:

   • You can leverage the Upcoming Earnings dataset for strategies such as the short straddle option strategy, filtering stocks before earnings announcements, or holding stocks with positive earnings estimates.

3. Data Access:

   • You can access earnings data within the on_data method by querying the dataset like so:

     def on_data(self, slice: Slice) -> None:
       upcoming_earnings_for_symbol = slice.get(EODHDUpcomingEarnings).get(self._symbol)
       if upcoming_earnings_for_symbol:
           # Process earnings data
     

4. Attributes and Methods:

   • If looking to set specific properties or methods related to the EODHDUpcomingEarnings dataset, please refer to available QuantConnect Python documentation or the C# API files for similar logic.

Maintaining IDE Autocomplete

• Ensure your local environment is up-to-date with Python stubs by running:

  pip install --upgrade quantconnect-stubs
  

• This command will keep your Python autocompletions likely up-to-the-minute with the latest additions, although some specific datasets might not yet be fully included.

Additional Resources and Examples:

• You can refer to QuantConnect's documentation for more detailed examples and attributes associated with EODHDUpcomingEarnings.

By following these guidelines, you should be able to effectively utilize and implement the EODHDUpcomingEarnings dataset in your QuantConnect algorithms, while maintaining updated autocompletions in your IDE.

Sources: Upcoming Earnings - QuantConnect.com, Upcoming IPOs - QuantConnect.com, Standardized Unexpected Earnings, Price And Earnings Momentum, Custom Data Universe Algorithm

That unfortunately does not answer the question.

Hi Frank Pape

It should be updated now. Can you retry?

Best
Louis