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BKE vs ZIG
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is BKE is a StrongBuy and ZIG is a Hold.
Long-Term Analysis
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).
BKE’s FA Score shows that 3 FA rating(s) are green while.
- BKE’s FA Score: 3 green, 2 red.
Short-Term Analysis
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.
BKE’s TA Score shows that 5 TA indicator(s) are bullish.
- BKE’s TA Score: 5 bullish, 3 bearish.
Price Growth
BKE (@Apparel/Footwear Retail) experienced а -0.34% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Apparel/Footwear Retail industry was +1.60%. For the same industry, the average monthly price growth was +3.86%, and the average quarterly price growth was +24.84%.
Reported Earning Dates
BKE is expected to report earnings on Mar 13, 2026.
Industries' Descriptions
@Apparel/Footwear Retail (+1.60% weekly)Companies in the apparel and/or footwear retail industry sell clothing, accessories and footwear, for different age groups and genders. The industry’s product categories could range from basics, such as underwear, to luxury items. Some retailers source items from wholesalers or an apparel brand to sell in their stores; some others are licensed to make and market their own retail goods under particular brands. Several companies outsource production of clothing to developing/emerging economies where labor costs are relatively inexpensive. Apparel retail is often influenced by fashion trends, and many companies feel the need to adapt to what’s “in vogue” to retain customers and attract new ones. A major disruption in this industry has been the burgeoning trend in digital shopping – to compete with rapidly growing e-commerce, even traditional retail players are upping the ante on their online platforms. Much of the products’ performance in apparel/footwear retail is cyclical, i.e., economic boom times encourage consumer spending, while recessions induce thriftiness among people. Some large-cap U.S. apparel/footwear retail companies include TJX Companies Inc., Ross Stores, Inc., Lululemon Athletica Inc. and Burlington Stores, Inc.
BKE | ||
|---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 16 Undervalued | |
PROFIT vs RISK RATING 1..100 | 15 | |
SMR RATING 1..100 | 21 | |
PRICE GROWTH RATING 1..100 | 46 | |
P/E GROWTH RATING 1..100 | 36 | |
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.
| BKE | ZIG | |
|---|---|---|
| RSI ODDS (%) | N/A | 6 days ago 86% |
| Stochastic ODDS (%) | 6 days ago 61% | 6 days ago 70% |
| Momentum ODDS (%) | 6 days ago 64% | 6 days ago 85% |
| MACD ODDS (%) | 6 days ago 79% | 6 days ago 86% |
| TrendWeek ODDS (%) | 6 days ago 75% | 6 days ago 85% |
| TrendMonth ODDS (%) | 6 days ago 77% | 6 days ago 84% |
| Advances ODDS (%) | 8 days ago 75% | 6 days ago 84% |
| Declines ODDS (%) | 10 days ago 65% | 14 days ago 76% |
| BollingerBands ODDS (%) | 6 days ago 49% | 6 days ago 84% |
| Aroon ODDS (%) | 6 days ago 76% | 6 days ago 82% |
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BKE and
Correlation & Price change
A.I.dvisor indicates that over the last year, BKE has been closely correlated with SCVL. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if BKE jumps, then SCVL could also see price increases.
| Ticker / NAME | Correlation To BKE | 1D Price Change % | ||
|---|---|---|---|---|
| BKE | 100% | -1.35% | ||
| SCVL - BKE | 67% Closely correlated | +2.88% | ||
| AEO - BKE | 64% Loosely correlated | -1.88% | ||
| BOOT - BKE | 64% Loosely correlated | -0.54% | ||
| GAP - BKE | 61% Loosely correlated | -2.36% | ||
| VSCO - BKE | 59% Loosely correlated | -4.90% | ||
More | ||||
ZIG and
Correlation & Price change
A.I.dvisor tells us that ZIG and ICL have been poorly correlated (+13% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that ZIG and ICL's prices will move in lockstep.