Incorrect fundamental data

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I am calling fundamental data in research, and some companies have the same data year after year. I have included 3 companies for which I have noticed this below. FB was included as a reference.
  qb = QuantBook()
symbols = ['ZMH', 'XRAY', 'AAS', 'FB']
for s in symbols:
qb.AddEquity(s)


start_time = datetime(2020, 1, 2)
end_time = datetime(2020, 1, 2)

ig_2019 = qb.GetFundamental(symbols, "OperationRatios.NetIncomeGrowth.OneYear", start_time, end_time)

start_time = datetime(2019, 1, 2)
end_time = datetime(2019, 1, 2)

ig_2018 = qb.GetFundamental(symbols, "OperationRatios.NetIncomeGrowth.OneYear", start_time, end_time)

start_time = datetime(2018, 1, 2)
end_time = datetime(2018, 1, 2)

ig_2017 = qb.GetFundamental(symbols, "OperationRatios.NetIncomeGrowth.OneYear", start_time, end_time)

start_time = datetime(2017, 1, 3)
end_time = datetime(2017, 1, 3)

ig_2016 = qb.GetFundamental(symbols, "OperationRatios.NetIncomeGrowth.OneYear", start_time, end_time)

start_time = datetime(2016, 1, 4)
end_time = datetime(2016, 1, 4)

ig_2015 = qb.GetFundamental(symbols, "OperationRatios.NetIncomeGrowth.OneYear", start_time, end_time)

start_time = datetime(2015, 1, 2)
end_time = datetime(2015, 1, 2)

ig_2014 = qb.GetFundamental(symbols, "OperationRatios.NetIncomeGrowth.OneYear", start_time, end_time)

all_ig = pd.concat([ig_2019, ig_2018, ig_2017, ig_2016, ig_2015, ig_2014], axis=0)

all_ig

 


AAS R735QTJ8XC9X FB V6OIPNZEM8V9 XRAY R735QTJ8XC9X ZMH S6ZZPKTVDY05
2020-01-02 0.466874 -0.164029 0.711385 -0.053745
2019-01-02 0.466874 0.387724 0.711385 -0.053745
2018-01-02 0.466874 0.559558 0.711385 -0.053745
2017-01-03 0.466874 1.770336 0.711385 -0.053745
2016-01-04 0.466874 0.254422 -0.221939 -0.053745
2015-01-02 0.466874 0.960000 0.030850 -0.053745

 

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Hi Pier-Olivier,

Thanks for reporting this. I've forwarded this to the data team.

Best,
Shile We

0

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 QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect 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. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.


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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 QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect 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. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.


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