# RNN 2nd Gen Model Hewlett-Packard Company Computer & office equipment

Stock predictor AI models:
Subscribe >> Deal exit on
July 22, 2020
Deal entry on
July 22, 2020
0.55%Expected margin
66.23% successful of 77 deals
$ 18.98 Last close price
at 10-aug-2020


Model's trade recommendations 9.43% Return for period

-16.05% Annual return

$35.37B Market Cap

β 1.67  


Model (following trade recommendations)


Underlying stock

S&P 500

Return for period 9.43%
52wk return -1.13%
52wk Range
Sortino ratio -0.85
Sharpe ratio -0.78
Norm. RMSE 0.71%
Downside risk 18.42%
Volatility 0.00%
  • 0.56 (2.59%) Div (Yield)
  • BUY Analysts consensus recommendation

HP Inc. is the surviving entity following the November 2015 split of Hewlett-Packard Company into publicly traded entities - Hewlett Packard Enterprise Company and HP Inc. The company's focus will be on the PC and printing products and services. HP Inc. is headquartered in Palo Alto, California.

Industry sector: Computer and Technology

Sector classification: Computer & office equipment

Deep Learning based analysis and prediction model for Hewlett-Packard Company (HPQ) 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. 22, 2015.

Market data for HPQ 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 HPQ.

Model is being retrained on a regular basis.

Float 1637M
P/E 12.31
Shares Outstanding 1641M
% Held by Insiders 0.25%
% Held by Institutions 80.36%
EPS (last reported FY) $1.65
EPS (last reported Q) $0.48
EPS, estimated (last reported Q) $0.42
Total revenues $52 B
Net income $3 B