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CANG vs WSM
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 Hold and WSM 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 whileWSM’s FA Score has 2 green FA rating(s).
- CANG’s FA Score: 0 green, 5 red.
- WSM’s FA Score: 2 green, 3 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 6 TA indicator(s) are bullish while WSM’s TA Score has 6 bullish TA indicator(s).
- CANG’s TA Score: 6 bullish, 4 bearish.
- WSM’s TA Score: 6 bullish, 4 bearish.
Price Growth
CANG (@Specialty Stores) experienced а -6.39% price change this week, while WSM (@Specialty Stores) price change was +6.64% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was +4.50%. For the same industry, the average monthly price growth was +7.54%, and the average quarterly price growth was +5.13%.
Reported Earning Dates
CANG is expected to report earnings on Dec 01, 2025.
WSM is expected to report earnings on Aug 20, 2025.
Industries' Descriptions
@Specialty Stores (+4.50% 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 | WSM | CANG / WSM | |
| Capitalization | 205M | 20.4B | 1% |
| EBITDA | -248.35M | 1.48B | -17% |
| Gain YTD | 13.182 | -0.733 | -1,798% |
| P/E Ratio | 20.92 | 21.64 | 97% |
| Revenue | 2.12B | 7.75B | 27% |
| Total Cash | 2.65B | 1.26B | 210% |
| Total Debt | 431M | 1.39B | 31% |
CANG | WSM | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 59 | 25 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 44 Fair valued | 81 Overvalued | |
PROFIT vs RISK RATING 1..100 | 67 | 22 | |
SMR RATING 1..100 | 89 | 19 | |
PRICE GROWTH RATING 1..100 | 38 | 47 | |
P/E GROWTH RATING 1..100 | 39 | 38 | |
SEASONALITY SCORE 1..100 | 50 | 75 |
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.
CANG's Valuation (44) in the Packaged Software industry is somewhat better than the same rating for WSM (81) in the Specialty Stores industry. This means that CANG’s stock grew somewhat faster than WSM’s over the last 12 months.
WSM's Profit vs Risk Rating (22) in the Specialty Stores industry is somewhat better than the same rating for CANG (67) in the Packaged Software industry. This means that WSM’s stock grew somewhat faster than CANG’s over the last 12 months.
WSM's SMR Rating (19) in the Specialty Stores industry is significantly better than the same rating for CANG (89) in the Packaged Software industry. This means that WSM’s stock grew significantly faster than CANG’s over the last 12 months.
CANG's Price Growth Rating (38) in the Packaged Software industry is in the same range as WSM (47) in the Specialty Stores industry. This means that CANG’s stock grew similarly to WSM’s over the last 12 months.
WSM's P/E Growth Rating (38) in the Specialty Stores industry is in the same range as CANG (39) in the Packaged Software industry. This means that WSM’s stock grew similarly to CANG’s over the last 12 months.
| CANG | WSM | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 80% |
| Stochastic ODDS (%) | 1 day ago 83% | 1 day ago 64% |
| Momentum ODDS (%) | 1 day ago 77% | 1 day ago 81% |
| MACD ODDS (%) | 1 day ago 82% | 1 day ago 81% |
| TrendWeek ODDS (%) | 1 day ago 78% | 1 day ago 75% |
| TrendMonth ODDS (%) | 1 day ago 84% | 1 day ago 75% |
| Advances ODDS (%) | 17 days ago 83% | 4 days ago 78% |
| Declines ODDS (%) | 12 days ago 82% | 12 days ago 69% |
| BollingerBands ODDS (%) | 1 day ago 77% | 1 day ago 78% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 68% |
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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% | -3.68% | ||
| ANCTF - CANG | 23% Poorly correlated | -1.40% | ||
| KIRK - CANG | 23% Poorly correlated | -5.10% | ||
| RH - CANG | 22% Poorly correlated | +0.50% | ||
| WSM - CANG | 21% Poorly correlated | +0.65% | ||
| WINA - CANG | 21% Poorly correlated | +0.75% | ||
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WSM and
Correlation & Price change
A.I.dvisor indicates that over the last year, WSM has been closely correlated with RH. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if WSM jumps, then RH could also see price increases.
| Ticker / NAME | Correlation To WSM | 1D Price Change % | ||
|---|---|---|---|---|
| WSM | 100% | +0.65% | ||
| RH - WSM | 67% Closely correlated | +0.50% | ||
| FND - WSM | 65% Loosely correlated | +1.54% | ||
| CPRT - WSM | 62% Loosely correlated | +0.91% | ||
| ARHS - WSM | 59% Loosely correlated | +0.74% | ||
| LOW - WSM | 58% Loosely correlated | +0.55% | ||
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