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

Procter & Gamble Company, also referred to as P&G, is a branded consumer products company. The company has five reportable segments: Beauty - The segment includes hair care products antiperspirants and deodorants as well as products for personal cleansing and skin care. Grooming - The segment includes Shave Care products like female and male blades & razors and pre- and post-shave products as well as appliances. Health Care - The segment includes gastrointestinal, rapid diagnostics, respiratory, vitamins/minerals/supplements and other personal health care product categories along with toothbrush, toothpaste and other oral care, product categories. Fabric and Home Care - The segment includes air care, dish care, fabric enhancers, laundry additives and detergents, P&G Professional and surface care product categories. Baby, Feminine and Family Care - The segment includes baby wipes, diapers and pants, paper towels, tissues, toilet paper, adult incontinence and feminine care products.

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.