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).
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 7 TA indicator(s) are bullish while WSM’s TA Score has 5 bullish TA indicator(s).
CANG (@Specialty Stores) experienced а +19.91% price change this week, while WSM (@Specialty Stores) price change was +6.95% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was +3.73%. For the same industry, the average monthly price growth was +4.96%, and the average quarterly price growth was +6.61%.
CANG is expected to report earnings on Sep 01, 2025.
WSM is expected to report earnings on Aug 20, 2025.
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 | 19.091 | -5.754 | -332% |
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 | 61 | 10 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 45 Fair valued | 81 Overvalued | |
PROFIT vs RISK RATING 1..100 | 62 | 23 | |
SMR RATING 1..100 | 89 | 19 | |
PRICE GROWTH RATING 1..100 | 37 | 48 | |
P/E GROWTH RATING 1..100 | 42 | 37 | |
SEASONALITY SCORE 1..100 | 50 | 85 |
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 (45) 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 (23) in the Specialty Stores industry is somewhat better than the same rating for CANG (62) 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 (37) in the Packaged Software industry is in the same range as WSM (48) 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 (37) in the Specialty Stores industry is in the same range as CANG (42) 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 (%) | 2 days ago90% | 2 days ago80% |
Stochastic ODDS (%) | 2 days ago88% | 2 days ago70% |
Momentum ODDS (%) | 2 days ago84% | 2 days ago73% |
MACD ODDS (%) | 2 days ago86% | 2 days ago78% |
TrendWeek ODDS (%) | 2 days ago83% | 2 days ago75% |
TrendMonth ODDS (%) | 2 days ago83% | 2 days ago75% |
Advances ODDS (%) | 5 days ago84% | 2 days ago78% |
Declines ODDS (%) | 17 days ago82% | 12 days ago70% |
BollingerBands ODDS (%) | 2 days ago89% | 2 days ago79% |
Aroon ODDS (%) | 2 days ago87% | 2 days ago68% |
1 Day | |||
---|---|---|---|
ETFs / NAME | Price $ | Chg $ | Chg % |
GSIB | 44.20 | 0.32 | +0.74% |
Themes Global Systemically Imp Bks ETF | |||
BDJ | 8.99 | 0.05 | +0.56% |
BlackRock Enhanced Equity Dividend Trust | |||
ARDC | 14.36 | 0.02 | +0.14% |
Ares Dynamic Credit Allocation Fund | |||
ONEO | 124.56 | N/A | N/A |
SPDR® Russell 1000 Momentum Focus ETF | |||
OPTZ | 31.07 | N/A | N/A |
Optimize Strategy Index ETF |
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% | -0.57% | ||
ANCTF - CANG | 23% Poorly correlated | +1.09% | ||
KIRK - CANG | 23% Poorly correlated | +1.68% | ||
WSM - CANG | 22% Poorly correlated | +0.01% | ||
RH - CANG | 22% Poorly correlated | +0.60% | ||
WINA - CANG | 21% Poorly correlated | +0.07% | ||
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A.I.dvisor indicates that over the last year, WSM has been closely correlated with RH. These tickers have moved in lockstep 66% 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% | +0.01% | ||
RH - WSM | 66% Closely correlated | +0.60% | ||
FND - WSM | 64% Loosely correlated | -0.81% | ||
CPRT - WSM | 62% Loosely correlated | +0.49% | ||
ARHS - WSM | 58% Loosely correlated | -1.68% | ||
LOW - WSM | 56% Loosely correlated | +0.60% | ||
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