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CANG 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 CANG is a Buy and WINA is a StrongBuy.
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).
CANG’s FA Score shows that 0 FA rating(s) are green whileWINA’s FA Score has 3 green FA rating(s).
- CANG’s FA Score: 0 green, 5 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.
CANG’s TA Score shows that 4 TA indicator(s) are bullish while WINA’s TA Score has 4 bullish TA indicator(s).
- CANG’s TA Score: 4 bullish, 4 bearish.
- WINA’s TA Score: 4 bullish, 5 bearish.
Price Growth
CANG (@Specialty Stores) experienced а +14.29% price change this week, while WINA (@Specialty Stores) price change was +1.75% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was +1.10%. For the same industry, the average monthly price growth was +8.30%, and the average quarterly price growth was -1.87%.
Reported Earning Dates
CANG is expected to report earnings on Sep 01, 2025.
WINA is expected to report earnings on Jul 16, 2025.
Industries' Descriptions
@Specialty Stores (+1.10% 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.
| CANG | WINA | CANG / WINA | |
| Capitalization | 205M | 1.27B | 16% |
| EBITDA | -248.35M | 55.5M | -447% |
| Gain YTD | 18.182 | 9.458 | 192% |
| P/E Ratio | 20.92 | 32.99 | 63% |
| Revenue | 2.12B | 83.2M | 2,550% |
| Total Cash | 2.65B | 13.4M | 19,739% |
| Total Debt | 431M | 72.8M | 592% |
CANG | WINA | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 18 | 26 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 46 Fair valued | 32 Undervalued | |
PROFIT vs RISK RATING 1..100 | 62 | 13 | |
SMR RATING 1..100 | 85 | 4 | |
PRICE GROWTH RATING 1..100 | 36 | 41 | |
P/E GROWTH RATING 1..100 | 38 | 27 | |
SEASONALITY SCORE 1..100 | 50 | 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 (32) in the Specialty Stores industry is in the same range as CANG (46) in the Packaged Software industry. This means that WINA’s stock grew similarly to CANG’s over the last 12 months.
WINA's Profit vs Risk Rating (13) in the Specialty Stores industry is somewhat better than the same rating for CANG (62) in the Packaged Software industry. This means that WINA’s stock grew somewhat faster than CANG’s over the last 12 months.
WINA's SMR Rating (4) in the Specialty Stores industry is significantly better than the same rating for CANG (85) in the Packaged Software industry. This means that WINA’s stock grew significantly faster than CANG’s over the last 12 months.
CANG's Price Growth Rating (36) in the Packaged Software industry is in the same range as WINA (41) in the Specialty Stores industry. This means that CANG’s stock grew similarly to WINA’s over the last 12 months.
WINA's P/E Growth Rating (27) in the Specialty Stores industry is in the same range as CANG (38) in the Packaged Software industry. This means that WINA’s stock grew similarly to CANG’s over the last 12 months.
| CANG | WINA | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 2 days ago 55% |
| Stochastic ODDS (%) | 1 day ago 90% | 2 days ago 54% |
| Momentum ODDS (%) | 1 day ago 80% | 2 days ago 67% |
| MACD ODDS (%) | 1 day ago 83% | 2 days ago 54% |
| TrendWeek ODDS (%) | 1 day ago 82% | 2 days ago 50% |
| TrendMonth ODDS (%) | 1 day ago 83% | 2 days ago 68% |
| Advances ODDS (%) | 3 days ago 83% | 2 days ago 69% |
| Declines ODDS (%) | 8 days ago 82% | 19 days ago 55% |
| BollingerBands ODDS (%) | 1 day ago 86% | 2 days ago 58% |
| Aroon ODDS (%) | 1 day ago 87% | 2 days ago 57% |
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CANG and
Correlation & Price change
A.I.dvisor tells us that CANG and ANCTF have been poorly correlated (+23% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that CANG and ANCTF's prices will move in lockstep.
| Ticker / NAME | Correlation To CANG | 1D Price Change % | ||
|---|---|---|---|---|
| CANG | 100% | +2.36% | ||
| ANCTF - CANG | 23% Poorly correlated | -0.40% | ||
| KIRK - CANG | 23% Poorly correlated | +12.82% | ||
| RH - CANG | 22% Poorly correlated | +4.54% | ||
| WINA - CANG | 21% Poorly correlated | +0.89% | ||
| WSM - CANG | 21% Poorly correlated | -0.11% | ||
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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 60% 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% | +1.71% | ||
| AN - WINA | 60% Loosely correlated | +1.41% | ||
| SAH - WINA | 55% Loosely correlated | +1.46% | ||
| ABG - WINA | 55% Loosely correlated | +0.57% | ||
| PAG - WINA | 53% Loosely correlated | +0.12% | ||
| CWH - WINA | 52% Loosely correlated | +0.57% | ||
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