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).
ANCTF’s FA Score shows that 1 FA rating(s) are green whileCANG’s FA Score has 1 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.
ANCTF’s TA Score shows that 5 TA indicator(s) are bullish while CANG’s TA Score has 5 bullish TA indicator(s).
ANCTF (@Specialty Stores) experienced а +1.72% price change this week, while CANG (@Specialty Stores) price change was +10.59% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was -2.81%. For the same industry, the average monthly price growth was -2.05%, and the average quarterly price growth was +0.07%.
ANCTF is expected to report earnings on Mar 25, 2025.
CANG is expected to report earnings on Nov 04, 2024.
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.
ANCTF | CANG | ANCTF / CANG | |
Capitalization | 49.2B | 205M | 24,000% |
EBITDA | 5.82B | -248.35M | -2,341% |
Gain YTD | -4.252 | 268.627 | -2% |
P/E Ratio | 16.42 | 20.92 | 78% |
Revenue | 71.9B | 2.12B | 3,388% |
Total Cash | 929M | 2.65B | 35% |
Total Debt | 9.47B | 431M | 2,196% |
ANCTF | CANG | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 50 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 78 Overvalued | 63 Fair valued | |
PROFIT vs RISK RATING 1..100 | 12 | 72 | |
SMR RATING 1..100 | 44 | 87 | |
PRICE GROWTH RATING 1..100 | 56 | 34 | |
P/E GROWTH RATING 1..100 | 53 | 13 | |
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.
CANG's Valuation (63) in the Packaged Software industry is in the same range as ANCTF (78) in the null industry. This means that CANG’s stock grew similarly to ANCTF’s over the last 12 months.
ANCTF's Profit vs Risk Rating (12) in the null industry is somewhat better than the same rating for CANG (72) in the Packaged Software industry. This means that ANCTF’s stock grew somewhat faster than CANG’s over the last 12 months.
ANCTF's SMR Rating (44) in the null industry is somewhat better than the same rating for CANG (87) in the Packaged Software industry. This means that ANCTF’s stock grew somewhat faster than CANG’s over the last 12 months.
CANG's Price Growth Rating (34) in the Packaged Software industry is in the same range as ANCTF (56) in the null industry. This means that CANG’s stock grew similarly to ANCTF’s over the last 12 months.
CANG's P/E Growth Rating (13) in the Packaged Software industry is somewhat better than the same rating for ANCTF (53) in the null industry. This means that CANG’s stock grew somewhat faster than ANCTF’s over the last 12 months.
ANCTF | CANG | |
---|---|---|
RSI ODDS (%) | 4 days ago40% | 4 days ago73% |
Stochastic ODDS (%) | 4 days ago45% | 4 days ago86% |
Momentum ODDS (%) | 4 days ago63% | 4 days ago79% |
MACD ODDS (%) | 4 days ago58% | 4 days ago85% |
TrendWeek ODDS (%) | 4 days ago52% | 4 days ago81% |
TrendMonth ODDS (%) | 4 days ago49% | 4 days ago80% |
Advances ODDS (%) | 5 days ago50% | 4 days ago83% |
Declines ODDS (%) | 8 days ago43% | 6 days ago81% |
BollingerBands ODDS (%) | 4 days ago52% | 4 days ago88% |
Aroon ODDS (%) | 4 days ago42% | 4 days ago81% |
A.I.dvisor tells us that ANCTF and WFAFY have been poorly correlated (+30% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that ANCTF and WFAFY's prices will move in lockstep.
Ticker / NAME | Correlation To ANCTF | 1D Price Change % | ||
---|---|---|---|---|
ANCTF | 100% | -3.02% | ||
WFAFY - ANCTF | 30% Poorly correlated | +0.90% | ||
FLWS - ANCTF | 28% Poorly correlated | -1.14% | ||
CASY - ANCTF | 27% Poorly correlated | -1.06% | ||
WOOF - ANCTF | 25% Poorly correlated | -4.30% | ||
PAG - ANCTF | 24% Poorly correlated | -0.55% | ||
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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% | +1.08% | ||
ANCTF - CANG | 23% Poorly correlated | -3.02% | ||
KIRK - CANG | 23% Poorly correlated | -1.85% | ||
RH - CANG | 22% Poorly correlated | -2.21% | ||
TLF - CANG | 21% Poorly correlated | N/A | ||
BARK - CANG | 21% Poorly correlated | -5.70% | ||
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