Bad error: unsupported operand type(s) for &: 'int' and 'Latest'

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Bad error: unsupported operand type(s) for &: 'int' and 'Latest'

edited Oct 21, 2019

Seeking Help Tools and Tips Research Pipeline

I am trying to combine filters, and I am following the tutorials, but I get the error

unsupported operand type(s) for &: 'int' and 'Latest'

I've attached the notebook, but here is the relevant code.

def make_pipeline():  
    base_universe = QTradableStocksUS()  
    '''  
    Factors  
    '''  
    roce = (  
        Fundamentals.ebit.latest / (  
            Fundamentals.total_assets.latest  
                - Fundamentals.current_liabilities.latest  
            )  
    )  
    free_cash_flow = Fundamentals.free_cash_flow.latest  
    shares_outstanding = Fundamentals.shares_outstanding.latest  
    pe_ratio = Fundamentals.pe_ratio.latest  
    shareholder_yield = Fundamentals.total_yield.latest  
    revenue_growth = Fundamentals.revenue_growth.latest  
    '''  
    Filters  
    '''  
    good_pe = (pe_ratio > 4 & pe_ratio < 11) #--> here is the error  
    low_share_count = shares_outstanding < 50000000  
    high_yield = shareholder_yield > 0.1  
    high_roce = roce > 0.1  
    high_revenue_growth = revenue_growth > 0.25  
    filters = high_yield & good_pe & low_share_count  #-> also appears here  
    '''  
    Sectors  
    '''  
    sector = Sector()  
    return Pipeline(  
        columns = {  
            'shares_outstanding': shares_outstanding,  
            'shareholder_yield': shareholder_yield,  
            'pe': pe_ratio,  
            'sector': sector,  
        },  
        screen=base_universe & filters  
    )

And I am not sure how to fix this. Any ideas?

2 responses

Try this:

    pe_over_lb = pe_ratio > 4  
    pe_under_ub = pe_ratio < 11  
    good_pe = pe_over_lb & pe_under_ub

Okay, that works, thanks. And even if I do

good_pe = (pe_ratio < 11) & (pe_ratio > 4)

it works. Guess it's something about the order/precedence it gets evaluated ...

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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.