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 1 FA rating(s) are green whileRH’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 6 TA indicator(s) are bullish while RH’s TA Score has 5 bullish TA indicator(s).
CANG (@Specialty Stores) experienced а +9.27% price change this week, while RH (@Specialty Stores) price change was +23.40% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was +6.49%. For the same industry, the average monthly price growth was +10.98%, and the average quarterly price growth was -1.26%.
CANG is expected to report earnings on Sep 01, 2025.
RH is expected to report earnings on Sep 04, 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 | RH | CANG / RH | |
Capitalization | 205M | 6.38B | 3% |
EBITDA | -248.35M | 524M | -47% |
Gain YTD | -0.909 | -42.664 | 2% |
P/E Ratio | 20.92 | 56.64 | 37% |
Revenue | 2.12B | 3.03B | 70% |
Total Cash | 2.65B | 124M | 2,133% |
Total Debt | 431M | 3.72B | 12% |
CANG | RH | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 9 | 11 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 48 Fair valued | 76 Overvalued | |
PROFIT vs RISK RATING 1..100 | 68 | 82 | |
SMR RATING 1..100 | 86 | 32 | |
PRICE GROWTH RATING 1..100 | 37 | 58 | |
P/E GROWTH RATING 1..100 | 28 | 23 | |
SEASONALITY SCORE 1..100 | 28 | 50 |
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 (48) in the Packaged Software industry is in the same range as RH (76) in the Specialty Stores industry. This means that CANG’s stock grew similarly to RH’s over the last 12 months.
CANG's Profit vs Risk Rating (68) in the Packaged Software industry is in the same range as RH (82) in the Specialty Stores industry. This means that CANG’s stock grew similarly to RH’s over the last 12 months.
RH's SMR Rating (32) in the Specialty Stores industry is somewhat better than the same rating for CANG (86) in the Packaged Software industry. This means that RH’s stock grew somewhat 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 RH (58) in the Specialty Stores industry. This means that CANG’s stock grew similarly to RH’s over the last 12 months.
RH's P/E Growth Rating (23) in the Specialty Stores industry is in the same range as CANG (28) in the Packaged Software industry. This means that RH’s stock grew similarly to CANG’s over the last 12 months.
CANG | RH | |
---|---|---|
RSI ODDS (%) | 2 days ago90% | 2 days ago76% |
Stochastic ODDS (%) | 2 days ago77% | 2 days ago77% |
Momentum ODDS (%) | 2 days ago84% | 2 days ago82% |
MACD ODDS (%) | 2 days ago85% | 2 days ago82% |
TrendWeek ODDS (%) | 2 days ago82% | 2 days ago79% |
TrendMonth ODDS (%) | 2 days ago83% | 2 days ago81% |
Advances ODDS (%) | 6 days ago83% | 7 days ago79% |
Declines ODDS (%) | N/A | 9 days ago72% |
BollingerBands ODDS (%) | 2 days ago86% | 2 days ago74% |
Aroon ODDS (%) | 2 days ago88% | 2 days ago82% |
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% | +0.46% | ||
ANCTF - CANG | 23% Poorly correlated | -0.62% | ||
KIRK - CANG | 23% Poorly correlated | +0.83% | ||
RH - CANG | 22% Poorly correlated | -0.16% | ||
WINA - CANG | 21% Poorly correlated | +0.88% | ||
BARK - CANG | 21% Poorly correlated | +3.17% | ||
More |
A.I.dvisor indicates that over the last year, RH has been loosely correlated with WSM. These tickers have moved in lockstep 65% of the time. This A.I.-generated data suggests there is some statistical probability that if RH jumps, then WSM could also see price increases.