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VBREY vs WFAFY
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 VBREY is a Hold and WFAFY is a StrongBuy.
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).
VBREY’s FA Score shows that 3 FA rating(s) are green whileWFAFY’s FA Score has 2 green FA rating(s).
- VBREY’s FA Score: 3 green, 2 red.
- WFAFY’s FA Score: 2 green, 3 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.
VBREY’s TA Score shows that 5 TA indicator(s) are bullish while WFAFY’s TA Score has 6 bullish TA indicator(s).
- VBREY’s TA Score: 5 bullish, 3 bearish.
- WFAFY’s TA Score: 6 bullish, 3 bearish.
Price Growth
VBREY (@Specialty Stores) experienced а +2.93% price change this week, while WFAFY (@Home Improvement Chains) price change was +3.05% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was +1.48%. For the same industry, the average monthly price growth was +17.20%, and the average quarterly price growth was +3.44%.
The average weekly price growth across all stocks in the @Home Improvement Chains industry was +2.73%. For the same industry, the average monthly price growth was -0.48%, and the average quarterly price growth was -3.15%.
Industries' Descriptions
@Specialty Stores (+1.48% weekly)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.
@Home Improvement Chains (+2.73% weekly)The home improvement chains industry sells home improvement merchandise and do-it-yourself repair and building goods. Customers include individual contractors or construction managers on one hand; on the other hand, there are retail consumers who’d either buy raw materials/items from the store to do a project on their own, or pay extra for installation services. Products sold include fencing supplies, lumber materials, hardware, lighting fixtures, plumbing supplies, home decor items, bathroom remodel items, roofing materials, tools and wallboard to name a few. The Home Depot Inc., Lowe’s Companies, Inc. and Floor & Decor Holdings, Inc. are some of the biggest home improvement retailing companies in the U.S. Allowing all types of customers the flexibility to choose or buy products both offline and online and then having the products shipped to the respective sites/homes are some of the potential drivers of a home improvement chain’s popularity. Many big-box home improvement chains are looking to expand their overseas presence. Supply-chain efficiency and distribution management are some of the key ingredients to grow/make profit in this industry.
| VBREY | WFAFY | VBREY / WFAFY | |
| Capitalization | 5.56B | 61B | 9% |
| EBITDA | 5.76B | 6.04B | 95% |
| Gain YTD | 70.971 | 28.363 | 250% |
| P/E Ratio | 16.73 | 31.62 | 53% |
| Revenue | 183B | 45.6B | 401% |
| Total Cash | N/A | N/A | - |
| Total Debt | N/A | N/A | - |
WFAFY | ||
|---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 22 Undervalued | |
PROFIT vs RISK RATING 1..100 | 25 | |
SMR RATING 1..100 | 93 | |
PRICE GROWTH RATING 1..100 | 59 | |
P/E GROWTH RATING 1..100 | 43 | |
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.
| VBREY | WFAFY | |
|---|---|---|
| RSI ODDS (%) | N/A | 7 days ago 88% |
| Stochastic ODDS (%) | 7 days ago 75% | 7 days ago 78% |
| Momentum ODDS (%) | N/A | 7 days ago 74% |
| MACD ODDS (%) | 7 days ago 81% | 7 days ago 70% |
| TrendWeek ODDS (%) | 7 days ago 74% | 7 days ago 74% |
| TrendMonth ODDS (%) | 7 days ago 79% | 7 days ago 55% |
| Advances ODDS (%) | 17 days ago 74% | 7 days ago 76% |
| Declines ODDS (%) | 9 days ago 73% | 10 days ago 57% |
| BollingerBands ODDS (%) | 7 days ago 75% | 7 days ago 82% |
| Aroon ODDS (%) | 7 days ago 79% | 7 days ago 51% |
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VBREY and
Correlation & Price change
A.I.dvisor tells us that VBREY 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 VBREY and WFAFY's prices will move in lockstep.
| Ticker / NAME | Correlation To VBREY | 1D Price Change % | ||
|---|---|---|---|---|
| VBREY | 100% | N/A | ||
| WFAFY - VBREY | 25% Poorly correlated | N/A | ||
| HD - VBREY | 23% Poorly correlated | -0.93% | ||
| CWH - VBREY | 23% Poorly correlated | +2.24% | ||
| ACVA - VBREY | 22% Poorly correlated | -0.45% | ||
| FLWS - VBREY | 22% Poorly correlated | +1.03% | ||
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WFAFY and
Correlation & Price change
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% | N/A | ||
| KMX - WFAFY | 45% Loosely correlated | +0.41% | ||
| PAG - WFAFY | 41% Loosely correlated | -0.62% | ||
| AN - WFAFY | 40% Loosely correlated | -1.38% | ||
| FLWS - WFAFY | 40% Loosely correlated | +1.03% | ||
| ABG - WFAFY | 40% Loosely correlated | -0.72% | ||
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