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Buying stocks from a pipeline screener?
Sherwin Rad
posted Dec 7, 2016
Seeking Help Getting Started Using Data Research Pipeline

Hi i'm trying to learn quantopian and I've made a Pipeline that scans for stocks greater than $100. How do I get the program to buy those stocks? 


def before_trading_start(context, data):  
    # Access results using the name passed to `attach_pipeline`.  
    context.output = pipeline_output('my_pipeline')  
    print context.output.head(5)

    # Store pipeline results for use by the rest of the algorithm.  
    #context.pipeline_results = results  
def handle_data(context, data):  
    order(context.output, 1)  
    pass

the order function doesn't work so I don't know exactly what to do.

2 responses
Jamie McCorriston
Dec 7, 2016

Hi Sherwin,

I'd recommend going through the Pipeline Tutorial. The last lesson in particular demonstrates how to order the securities from the output of your pipeline.

Disclaimer

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.

Jamie McCorriston
Dec 8, 2016

Sherwin,

In the example from lesson 12, context.output is a pandas DataFrame. When you place an order, it needs to be for an Equity object. It's tricky to start learning with pipeline. I would recommend going through the Getting Started Tutorial, and then try the Pipeline Tutorial from start to finish (I probably shouldn't have suggested started with the last lesson, sorry!).

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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.