Refer to this forum post by Chris Myles for the initial release announcement of Self-Serve Data. For another high-level walkthrough of the tool, watch this recently-released video, Upload Your Custom Datasets with Self-Serve Data.
Analyze Your Signal
The attached notebook uses Self-Serve Data to load a signal into Pipeline and analyze it using Alphalens.
Template Contest Algorithm
Because Self-Serve Data allows you to live-update your datasets in point-in-time fashion, your data can now be used in algorithms you submit to the daily Quantopian Contest.
We’ve prepared and attached (in the first response to this post) a template algorithm to clone and build off of with your uploaded data. The TO-DOs throughout the template provide guidance as you develop the algorithm for submission to the contest. The template should help you pass most, if not all of the criteria required for the contest.
Feel free to email any questions or issues to [email protected].