# RNN 1st Gen Model Advance Auto Parts Inc Auto & home supply stores

Stock predictor AI models:
63.93% successful of 61 deals
$ 139.32 Last close price
at 29-may-2020

AAP

Model's trade recommendations -3.19% Return for period

-11.80% Annual return

$8.57B Market Cap

β 1.05  

AAP

Model (following trade recommendations)

AAP

Underlying stock

S&P 500

Index
Return for period -3.19%
19.50%
1.78%
52wk return -34.68%
-10.12%
16.82%
52wk Range
75.03—169.70
2000.54—2399.63
Sortino ratio -0.63
Sharpe ratio -0.58
Norm. RMSE 0.61%
Downside risk 17.35%
Volatility 0.00%
  • 0.24 (0.21%) Div (Yield)
  • BUY Analysts consensus recommendation

Advance Auto Parts, Inc., a leading automotive aftermarket parts provider in North America, serves both the professional installer and do-it-yourself customers. Advance Auto Parts stores and branches offer a broad selection of brand name, original equipment manufacturer (`OEM`) and private label automotive replacement parts, accessories, batteries and maintenance items for domestic and imported cars, vans, sport utility vehicles and light and heavy duty trucks. Advance Auto Parts have grown significantly as a result of comparable store sales growth, new store openings and strategic acquisitions. The acquisition allowed us to expand our geographic presence, Professional capabilities and overall scale to better serve customers.

Industry sector: Retail/Wholesale

Sector classification: Auto & home supply stores

Deep Learning based analysis and prediction model for Advance Auto Parts Inc (AAP) 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 Oct. 2, 2015.

Market data for AAP 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 AAP.

Model is being retrained on a daily basis.

Float 71M
P/E 21.54
Shares Outstanding 74M
% Held by Insiders 4.50%
% Held by Institutions NaN%
EPS (last reported FY) $5.37
EPS (last reported Q) $0.77
EPS, estimated (last reported Q) $0.65
Total revenues $9 B
Net income $0 B