Quantopian's community platform is shutting down. Please read this post for more information and download your code.
Back to Community
Getting Pipeline to Work With MorningStar earnings_ratios
Matthew Allbee
posted Jun 4, 2016

I'm trying to write a program that takes finds all stocks with P/Es between 9.5 and 14. When the code gets to pe_ratios = earnings_ratios(inputs = [USEquityPricing.close]), it gives an error that says Object() type takes 0 arguments.

Can anyone help me to understand what I'm doing wrong?

from quantopian.algorithm import attach_pipeline, pipeline_output  
from quantopian.pipeline import Pipeline  
from quantopian.pipeline.data.builtin import USEquityPricing  
from quantopian.pipeline.factors import AverageDollarVolume  
from quantopian.pipeline.data.morningstar import earnings_ratios

def initialize(context):

    pipe = Pipeline()  
    attach_pipeline(pipe, name='Pipeline')  
    pe_ratio =earnings_ratios(inputs=[USEquityPricing.close])  
    pipe.add(pe_ratio, 'pe_ratio')  
    pipe.set_screen(pe_ratio < 14.0 and pe_ratio > 9.0)  
    schedule_function('rebalance', date_rules.month_start)  
def rebalance(context, data):  
    context.Pandas_PE = pipeline_output('Pipeline')  
    print context.Pandas_PE
2 responses
Ann
Jun 5, 2016

Your pe_ratio line should be:

pe_ratio = morningstar.valuation_ratios.pe_ratio.latest
Alexander Torres
Jun 24, 2017

Do what Ann said, and change your import statement to reflect this. Also the schedule_function should not have the function name in quotes.
This version works: 

from quantopian.algorithm import attach_pipeline, pipeline_output  
from quantopian.pipeline import Pipeline  
from quantopian.pipeline.data import morningstar

def initialize(context):  
    pipe = Pipeline()  
    attach_pipeline(pipe, name="Pipeline")  
    pe_ratios = morningstar.valuation_ratios.pe_ratio.latest  
    pipe.add(pe_ratios, "pe_ratio")  
    pipe.set_screen((9.0<=pe_ratios<=14.0))  
    schedule_function(rebalance, date_rules.month_start(),time_rules.market_open())  
def rebalance(context, data):  
    context.Pandas_PE = pipeline_output("Pipeline")  
    print context.Pandas_PE
About Quantopian
Careers
Community
Events
Documentation
Academia
Lectures
Status
Facebook
Twitter
LinkedIn
YouTube
Terms of Use
Privacy Policy

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.