# RNN 1st Gen Model Procter & Gamble Company Soap, detergents, & cleaning preparations; perfumes, & cosmetics

The Procter & Gamble Company is engaged in the manufacture and sale of a range of branded consumer packaged goods. The company operates in five segments: Beauty, Grooming, Health Care, Fabric Care and Home Care, and Baby Care and Family Care. The Beauty segment provides antiperspirants, deodorants, cosmetics, hair care products, personal cleansings, prestige products, and skin care products. The Grooming segment offers blades and razors, electronic hair removal devices, hair care appliances. The Health Care segment provides feminine care, gastrointestinal, incontinence, rapid diagnostics, respiratory, oral care, and other personal health care products. The Fabric Care and Home Care segment offers bleach and laundry additives, air care products, batteries, dish care items, fabric enhancers, laundry detergents, pet care products, and surface care products. The Baby Care and Family Care segment provides baby wipes, diapers and pants, tissues, and toilet papers. The Procter & Gamble is based in Cincinnati, Ohio.

Industry sector: Consumer Staples

Sector classification: Soap, detergents, & cleaning preparations; perfumes, & cosmetics

Deep Learning based analysis and prediction model for Procter & Gamble Company (PG) stock is a 1st Generation Non-linear Autoregresive with exogenous variable(s) (NARX) model based on the Recurrent Neural Network architecture.

Model is in the production pipeline since Sept. 10, 2014.

Market data for PG model training are being downloaded from the Quandl premium datasets on a daily basis.
Risks related to the novel coronavirus disease 2019 (COVID-19) caused by the virus named “SARS-CoV-2” are accounted for in this model in the form of the historical data coincided with outbreaks and other global events in the past used to train ML prediction model for PG.

Model is being retrained on a daily basis.