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).
PETRY’s FA Score shows that 2 FA rating(s) are green whileWFAFY’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.
PETRY’s TA Score shows that 3 TA indicator(s) are bullish while WFAFY’s TA Score has 4 bullish TA indicator(s).
PETRY (@Specialty Stores) experienced а -6.63% price change this week, while WFAFY (@Specialty Stores) price change was -1.35% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was -2.12%. For the same industry, the average monthly price growth was -0.72%, and the average quarterly price growth was +0.04%.
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.
PETRY | WFAFY | PETRY / WFAFY | |
Capitalization | 4.04B | 37.9B | 11% |
EBITDA | 3.38B | 5.33B | 63% |
Gain YTD | -15.974 | 17.121 | -93% |
P/E Ratio | 14.51 | 22.17 | 65% |
Revenue | 182B | 41.5B | 439% |
Total Cash | 5.82B | N/A | - |
Total Debt | 17.3B | N/A | - |
WFAFY | ||
---|---|---|
OUTLOOK RATING 1..100 | 61 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 18 Undervalued | |
PROFIT vs RISK RATING 1..100 | 24 | |
SMR RATING 1..100 | 95 | |
PRICE GROWTH RATING 1..100 | 56 | |
P/E GROWTH RATING 1..100 | 69 | |
SEASONALITY SCORE 1..100 | 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.
PETRY | WFAFY | |
---|---|---|
RSI ODDS (%) | 2 days ago77% | 2 days ago78% |
Stochastic ODDS (%) | 2 days ago71% | 2 days ago56% |
Momentum ODDS (%) | 2 days ago78% | 2 days ago56% |
MACD ODDS (%) | 2 days ago74% | 2 days ago75% |
TrendWeek ODDS (%) | 2 days ago76% | 2 days ago55% |
TrendMonth ODDS (%) | 2 days ago81% | 2 days ago55% |
Advances ODDS (%) | 9 days ago74% | 8 days ago74% |
Declines ODDS (%) | 4 days ago73% | 2 days ago53% |
BollingerBands ODDS (%) | 2 days ago74% | 2 days ago76% |
Aroon ODDS (%) | 2 days ago75% | N/A |
A.I.dvisor tells us that PETRY and WFAFY have been poorly correlated (+25% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that PETRY and WFAFY's prices will move in lockstep.
Ticker / NAME | Correlation To PETRY | 1D Price Change % | ||
---|---|---|---|---|
PETRY | 100% | -2.31% | ||
WFAFY - PETRY | 25% Poorly correlated | -1.79% | ||
HD - PETRY | 23% Poorly correlated | +1.76% | ||
CWH - PETRY | 23% Poorly correlated | +2.07% | ||
ACVA - PETRY | 22% Poorly correlated | -1.55% | ||
FLWS - PETRY | 22% Poorly correlated | -3.84% | ||
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A.I.dvisor indicates that over the last year, WFAFY has been loosely correlated with KMX. These tickers have moved in lockstep 45% of the time. This A.I.-generated data suggests there is some statistical probability that if WFAFY jumps, then KMX could also see price increases.
Ticker / NAME | Correlation To WFAFY | 1D Price Change % | ||
---|---|---|---|---|
WFAFY | 100% | -1.79% | ||
KMX - WFAFY | 45% Loosely correlated | +1.53% | ||
PAG - WFAFY | 41% Loosely correlated | +0.06% | ||
AN - WFAFY | 40% Loosely correlated | +1.26% | ||
FLWS - WFAFY | 40% Loosely correlated | -3.84% | ||
ABG - WFAFY | 40% Loosely correlated | +2.37% | ||
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