Advance Auto Parts Inc company logo

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

Subscribe >> Deal exit on
Dec. 18, 2017
Deal entry on
Dec. 18, 2017
0.43%Expected margin
60.76% successful of 79 deals
$100.70 Last close price
at 15-dec-2017
  • Top 20 Accuracy

AAP

Model's trade recommendations -1.94% Return for period

-12.76% Annual return

$7.57B Market Cap

β 1.00  

AAP

Model (following trade recommendations)

AAP

Underlying stock

S&P 500

Index
Return for period -1.94%
12.80%
1.78%
52wk return -34.42%
-41.42%
16.82%
52wk Range
79.38—175.63
2000.54—2399.63
Sortino ratio -0.73
Sharpe ratio -0.66
Norm. RMSE 1.37%
Downside risk 16.68%
Volatility 18.50%
  • 0.24 (0.23%) Div (Yield)
  • BUY Analysts consensus recommendation

Advance Auto Parts, Inc. is a leading automotive aftermarket parts provider that serves both professional installer and do-it-yourself customers. Advance operates 5,059 stores and 130 Worldpac branches and employed 74,000 Team Members in the United States, Canada, Puerto Rico and the U.S. Virgin Islands. The Company also serves approximately 1,250 independently owned Carquest branded stores across these locations in addition to Mexico and the Bahamas, Turks and Caicos, British Virgin Islands and Pacific Islands. Advance Auto Parts, Inc. provides automotive replacement parts, accessories, batteries, and maintenance items for domestic and imported cars, vans, sport utility vehicles, and light and heavy duty trucks. The company offers batteries and battery accessories, belts and hoses, brakes and brake pads, chassis and climate control parts, clutches and drive shafts, hub assemblies, ignition components and wired, radiators and cooling parts, starters and alternators, and steering and alignment parts.

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.

Model is being retrained on a daily basis.

Float 71M
P/E 18.27
Shares Outstanding 74M
% Held by Insiders 4.10%
% Held by Institutions NaN%
EPS (last reported FY) $7.15
EPS (last reported Q) $1.43
EPS, estimated (last reported Q) $1.20
Total revenues $10 B
Net income $0 B