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AAP vs WINA
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is AAP is a Buy and WINA is a Buy.
Long-Term Analysis
It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
AAP’s FA Score shows that 1 FA rating(s) are green whileWINA’s FA Score has 3 green FA rating(s).
- AAP’s FA Score: 1 green, 4 red.
- WINA’s FA Score: 3 green, 2 red.
Short-Term Analysis
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
AAP’s TA Score shows that 6 TA indicator(s) are bullish while WINA’s TA Score has 5 bullish TA indicator(s).
- AAP’s TA Score: 6 bullish, 2 bearish.
- WINA’s TA Score: 5 bullish, 4 bearish.
Price Growth
AAP (@Auto Parts: OEM) experienced а -2.78% price change this week, while WINA (@Specialty Stores) price change was +1.28% for the same time period.
The average weekly price growth across all stocks in the @Auto Parts: OEM industry was -0.87%. For the same industry, the average monthly price growth was +9.23%, and the average quarterly price growth was +23.45%.
The average weekly price growth across all stocks in the @Specialty Stores industry was -1.68%. For the same industry, the average monthly price growth was +3.62%, and the average quarterly price growth was +10.12%.
Reported Earning Dates
AAP is expected to report earnings on Nov 12, 2025.
WINA is expected to report earnings on Oct 15, 2025.
Industries' Descriptions
@Auto Parts: OEM (-0.87% weekly)OEM or Original Equipment Manufacturer of auto parts refers to the original producer of a vehicles components, and so OEM car parts are usually identical to the parts used in producing the vehicle in the first place. OEM parts tend to fit the specifications of a particular model, and their compatibility is often guaranteed by the automaker itself. OEM parts could be more expensive to buy (compared to other vendors’ products) when a consumer goes for replacement. However, increased competition from aftermarket parts/third-party vendors could, in some cases, keep EOM prices in check. The industry might progress further in adopting newer technologies like 3D printing to boost supply chain performance and quality. Aptiv PLC, Magna International Inc. and BorgWarner Inc. are major OEMs for autos.
@Specialty Stores (-1.68% weekly)The specialty stores sector includes companies dedicated to the sale of retail products focused on a single product category, such as clothing, carpet, books, or office supplies. A specialty store could face intense competition from big-box departmental chains, and therefore offering an adequate collection of the product type it specializes in is key in maintaining/growing its market.
| AAP | WINA | AAP / WINA | |
| Capitalization | 3.54B | 1.64B | 216% |
| EBITDA | -580.08M | N/A | - |
| Gain YTD | 27.138 | 18.842 | 144% |
| P/E Ratio | 58.08 | 41.24 | 141% |
| Revenue | 8.74B | N/A | - |
| Total Cash | 1.66B | N/A | - |
| Total Debt | 3.65B | 62.7M | 5,815% |
AAP | WINA | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 5 | 25 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 70 Overvalued | 47 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | 14 | |
SMR RATING 1..100 | 95 | 2 | |
PRICE GROWTH RATING 1..100 | 39 | 41 | |
P/E GROWTH RATING 1..100 | 5 | 25 | |
SEASONALITY SCORE 1..100 | n/a | n/a |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
WINA's Valuation (47) in the Specialty Stores industry is in the same range as AAP (70). This means that WINA’s stock grew similarly to AAP’s over the last 12 months.
WINA's Profit vs Risk Rating (14) in the Specialty Stores industry is significantly better than the same rating for AAP (100). This means that WINA’s stock grew significantly faster than AAP’s over the last 12 months.
WINA's SMR Rating (2) in the Specialty Stores industry is significantly better than the same rating for AAP (95). This means that WINA’s stock grew significantly faster than AAP’s over the last 12 months.
AAP's Price Growth Rating (39) in the Specialty Stores industry is in the same range as WINA (41). This means that AAP’s stock grew similarly to WINA’s over the last 12 months.
AAP's P/E Growth Rating (5) in the Specialty Stores industry is in the same range as WINA (25). This means that AAP’s stock grew similarly to WINA’s over the last 12 months.
| AAP | WINA | |
|---|---|---|
| RSI ODDS (%) | N/A | 1 day ago 68% |
| Stochastic ODDS (%) | 1 day ago 70% | 1 day ago 56% |
| Momentum ODDS (%) | 1 day ago 70% | 1 day ago 71% |
| MACD ODDS (%) | 1 day ago 65% | N/A |
| TrendWeek ODDS (%) | 1 day ago 68% | 1 day ago 68% |
| TrendMonth ODDS (%) | 1 day ago 68% | 1 day ago 69% |
| Advances ODDS (%) | 9 days ago 65% | 7 days ago 70% |
| Declines ODDS (%) | 1 day ago 66% | 16 days ago 57% |
| BollingerBands ODDS (%) | 3 days ago 79% | 1 day ago 54% |
| Aroon ODDS (%) | 1 day ago 69% | 1 day ago 63% |
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AAP and
Correlation & Price change
A.I.dvisor indicates that over the last year, AAP has been loosely correlated with HVT. These tickers have moved in lockstep 37% of the time. This A.I.-generated data suggests there is some statistical probability that if AAP jumps, then HVT could also see price increases.
| Ticker / NAME | Correlation To AAP | 1D Price Change % | ||
|---|---|---|---|---|
| AAP | 100% | -0.82% | ||
| HVT - AAP | 37% Loosely correlated | -0.76% | ||
| WINA - AAP | 36% Loosely correlated | +1.72% | ||
| WOOF - AAP | 34% Loosely correlated | -8.56% | ||
| GPC - AAP | 33% Loosely correlated | +0.18% | ||
| HD - AAP | 32% Poorly correlated | +0.34% | ||
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WINA and
Correlation & Price change
A.I.dvisor indicates that over the last year, WINA has been loosely correlated with AN. These tickers have moved in lockstep 48% of the time. This A.I.-generated data suggests there is some statistical probability that if WINA jumps, then AN could also see price increases.
| Ticker / NAME | Correlation To WINA | 1D Price Change % | ||
|---|---|---|---|---|
| WINA | 100% | +1.72% | ||
| AN - WINA | 48% Loosely correlated | +0.07% | ||
| HVT - WINA | 42% Loosely correlated | -0.76% | ||
| CARS - WINA | 42% Loosely correlated | +1.57% | ||
| ABG - WINA | 41% Loosely correlated | +0.13% | ||
| SBH - WINA | 40% Loosely correlated | -1.94% | ||
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