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Periodic universe update with fetch_csv

I'm writing a statistical arbitrage algo but have run into a problem: to ensure the algo can run over a longer period of time, it is necessary to periodically update the universe of "unit portfolios" (combination of securities that make up the long/short positions) to remove security combinations that are no longer tradable and add new combinations.

At the moment, the event driven architecture in Quantopian is not suitable for a program that works through a large number of combinations of securities, looking for cointegrated, mean reverting and tradable unit portfolios, so I have an external program for that purpose. My idea is that I could have the Quantopian algo read a csv file from a dropbox on a weekly basis to update the universe.

However, it seems the fetch_csv method can only be called in the initialize method and other file read methods, for example pandas.read_csv, are not allowed at all.

Is there some way to update the security universe from an external source during algo execution?

1 response

Preben, if your algorithm is live trading (with the broker or paper trading using Quantopian's free feed), and you want to update the security universe, you should use fetch_csv.

You can update the CSV file before midnight Eastern Time by appending the new securities to the bottom of your file. The algorithm will warm up for the trading day in the early morning hours, and pick up the new stocks to trade in the logic.

If you want to update your universe, you should use the "univese_func" paramter: https://www.quantopian.com/help#overview-fetcher

And here's an example: https://www.quantopian.com/posts/define-custom-universe-via-fetcher-using-the-new-universe-func-callback

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