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).
WFAFY’s FA Score shows that 2 FA rating(s) are green whileWSM’s FA Score has 3 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.
WFAFY’s TA Score shows that 4 TA indicator(s) are bullish while WSM’s TA Score has 6 bullish TA indicator(s).
WFAFY (@Specialty Stores) experienced а -0.43% price change this week, while WSM (@Specialty Stores) price change was +6.14% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was -2.54%. For the same industry, the average monthly price growth was +2.94%, and the average quarterly price growth was +12.33%.
WSM is expected to report earnings on Mar 12, 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.
WFAFY | WSM | WFAFY / WSM | |
Capitalization | 37.9B | 20.4B | 186% |
EBITDA | 5.33B | 1.48B | 361% |
Gain YTD | 24.784 | 103.107 | 24% |
P/E Ratio | 22.17 | 21.64 | 102% |
Revenue | 41.5B | 7.75B | 535% |
Total Cash | N/A | 1.26B | - |
Total Debt | N/A | 1.39B | - |
WFAFY | WSM | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 86 | 23 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 18 Undervalued | 77 Overvalued | |
PROFIT vs RISK RATING 1..100 | 21 | 4 | |
SMR RATING 1..100 | 97 | 19 | |
PRICE GROWTH RATING 1..100 | 48 | 36 | |
P/E GROWTH RATING 1..100 | 48 | 17 | |
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.
WFAFY's Valuation (18) in the null industry is somewhat better than the same rating for WSM (77) in the Specialty Stores industry. This means that WFAFY’s stock grew somewhat faster than WSM’s over the last 12 months.
WSM's Profit vs Risk Rating (4) in the Specialty Stores industry is in the same range as WFAFY (21) in the null industry. This means that WSM’s stock grew similarly to WFAFY’s over the last 12 months.
WSM's SMR Rating (19) in the Specialty Stores industry is significantly better than the same rating for WFAFY (97) in the null industry. This means that WSM’s stock grew significantly faster than WFAFY’s over the last 12 months.
WSM's Price Growth Rating (36) in the Specialty Stores industry is in the same range as WFAFY (48) in the null industry. This means that WSM’s stock grew similarly to WFAFY’s over the last 12 months.
WSM's P/E Growth Rating (17) in the Specialty Stores industry is in the same range as WFAFY (48) in the null industry. This means that WSM’s stock grew similarly to WFAFY’s over the last 12 months.
WFAFY | WSM | |
---|---|---|
RSI ODDS (%) | N/A | 2 days ago79% |
Stochastic ODDS (%) | 2 days ago60% | 2 days ago84% |
Momentum ODDS (%) | 2 days ago56% | 2 days ago85% |
MACD ODDS (%) | 2 days ago55% | 2 days ago79% |
TrendWeek ODDS (%) | 2 days ago56% | 2 days ago75% |
TrendMonth ODDS (%) | 2 days ago72% | 2 days ago76% |
Advances ODDS (%) | N/A | 6 days ago79% |
Declines ODDS (%) | 6 days ago54% | N/A |
BollingerBands ODDS (%) | 2 days ago58% | 2 days ago78% |
Aroon ODDS (%) | 2 days ago67% | 2 days ago75% |
A.I.dvisor indicates that over the last year, WFAFY has been loosely correlated with PAG. These tickers have moved in lockstep 41% of the time. This A.I.-generated data suggests there is some statistical probability that if WFAFY jumps, then PAG could also see price increases.
Ticker / NAME | Correlation To WFAFY | 1D Price Change % | ||
---|---|---|---|---|
WFAFY | 100% | -0.01% | ||
PAG - WFAFY | 41% Loosely correlated | -1.44% | ||
BBWI - WFAFY | 37% Loosely correlated | +0.13% | ||
WSM - WFAFY | 36% Loosely correlated | +2.15% | ||
KAR - WFAFY | 36% Loosely correlated | -2.17% | ||
LOW - WFAFY | 36% Loosely correlated | -0.90% | ||
More |
A.I.dvisor indicates that over the last year, WSM has been loosely correlated with LOW. These tickers have moved in lockstep 45% of the time. This A.I.-generated data suggests there is some statistical probability that if WSM jumps, then LOW could also see price increases.