How to pass assign optimized weights to a pipeline object?

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How to pass assign optimized weights to a pipeline object?

posted

Newbie here looking for some guidance.

I want to be able to take a subset of the results of a pipeline object like this:

results = run_pipeline(pipe, start_date='2015-11-01', end_date='2015-11-25')  
ranks = results.rank().mean(axis=1).order()  
seclist = ranks.tail(15).index

..and pass the sid data to a method that assigns optimized weights (e.g. OLMAR, Markowitz optimization, etc.), following which it would pass the sid and weights data to target_percent or target_percent_value.

Could anyone possibly post a simple algo or some kind of example of this? I've been trying different things but nothing seems to work.
I would really appreciate it.

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The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by Quantopian.

In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.