# RNN 2nd Gen Model Gap, Inc. Family clothing stores

Stock predictor AI models:
70.37% successful of 81 deals
$ 23.15 Last close price
at 18-oct-2021


Model's trade recommendations 12.63% Return for period

-14.83% Annual return

$11.33B Market Cap

β 0.84  


Model (following trade recommendations)


Underlying stock

S&P 500

Return for period 12.63%
52wk return -22.49%
52wk Range
Sortino ratio -0.24
Sharpe ratio -0.23
Norm. RMSE 1.41%
Downside risk 32.84%
Volatility 0.00%
  • 0.97 (3.33%) Div (Yield)
  • HOLD Analysts consensus recommendation

Gap Inc. is a leading global apparel retail company. Gap offer apparel, accessories, and personal care products for men, women, and children under the Gap, Banana Republic, Old Navy, Athleta, and Intermix brands. Gap Inc. portfolio of distinct brands across multiple channels and geographies, combined with size and scale which allows for strategic and advantageous partnerships with third-party vendors and suppliers throughout the organization, gives a competitive advantage in the global retail marketplace. Gap Inc. is an omni-channel retailer, with sales to customers both in stores and online, through Company-operated and franchise stores, websites, and third-party arrangements. Gap Inc. has Company-operated stores in the United States, Canada, the United Kingdom, France, Ireland, Japan, Italy, China, Hong Kong, Taiwan, and Mexico. Gap Inc. also sells products that are designed and manufactured by branded third parties, especially at Intermix brand.

Industry sector: Retail/Wholesale

Sector classification: Family clothing stores

Deep Learning based analysis and prediction model for Gap, Inc. (GPS) stock is a 2nd Generation Non-linear Autoregressive (NAR) model based on the LSTM/GRU Recurrent Neural Network architecture.

Model is in the production pipeline since Oct. 23, 2015.

Market data for GPS 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 GPS.

Model is being retrained on a regular basis.

Float 283M
P/E 13.67
Shares Outstanding 389M
% Held by Insiders 27.30%
% Held by Institutions 58.43%
EPS (last reported FY) $2.13
EPS (last reported Q) $0.61
EPS, estimated (last reported Q) $0.59
Total revenues $16 B
Net income $1 B