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LOW vs SVV
Notable companies
Market Cap
High and low price notable news
Volume
Fundamental Analysis Ratings
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
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 LOW is a StrongBuy and SVV is a Buy.
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).
LOW’s FA Score shows that 2 FA rating(s) are green whileSVV’s FA Score has 1 green FA rating(s).
- LOW’s FA Score: 2 green, 3 red.
- SVV’s FA Score: 1 green, 4 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.
LOW’s TA Score shows that 7 TA indicator(s) are bullish while SVV’s TA Score has 4 bullish TA indicator(s).
- LOW’s TA Score: 7 bullish, 3 bearish.
- SVV’s TA Score: 4 bullish, 4 bearish.
Price Growth
LOW (@Home Improvement Chains) experienced а +0.78% price change this week, while SVV (@Specialty Stores) price change was +9.41% for the same time period.
The average weekly price growth across all stocks in the @Home Improvement Chains industry was +1.25%. For the same industry, the average monthly price growth was +1.73%, and the average quarterly price growth was -0.20%.
The average weekly price growth across all stocks in the @Specialty Stores industry was -0.28%. For the same industry, the average monthly price growth was +15.31%, and the average quarterly price growth was +3.50%.
Reported Earning Dates
LOW is expected to report earnings on Feb 25, 2026.
SVV is expected to report earnings on Feb 19, 2026.
Industries' Descriptions
@Home Improvement Chains (+1.25% 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.
@Specialty Stores (-0.28% 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.
| LOW | SVV | LOW / SVV | |
| Capitalization | 139B | 1.48B | 9,373% |
| EBITDA | 12.5B | 146M | 8,562% |
| Gain YTD | 2.532 | -4.683 | -54% |
| P/E Ratio | 20.47 | 66.15 | 31% |
| Revenue | 84.3B | 1.62B | 5,217% |
| Total Cash | 621M | 63.5M | 978% |
| Total Debt | 44.7B | 1.37B | 3,275% |
LOW | ||
|---|---|---|
OUTLOOK RATING 1..100 | 16 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 3 Undervalued | |
PROFIT vs RISK RATING 1..100 | 38 | |
SMR RATING 1..100 | 6 | |
PRICE GROWTH RATING 1..100 | 54 | |
P/E GROWTH RATING 1..100 | 55 | |
SEASONALITY SCORE 1..100 | 31 |
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.
| LOW | SVV | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 68% | 2 days ago 64% |
| Stochastic ODDS (%) | 2 days ago 62% | 2 days ago 74% |
| Momentum ODDS (%) | 2 days ago 65% | 2 days ago 81% |
| MACD ODDS (%) | 2 days ago 57% | 2 days ago 87% |
| TrendWeek ODDS (%) | 2 days ago 62% | 2 days ago 78% |
| TrendMonth ODDS (%) | 2 days ago 61% | 2 days ago 82% |
| Advances ODDS (%) | 2 days ago 61% | 4 days ago 80% |
| Declines ODDS (%) | 4 days ago 59% | 26 days ago 78% |
| BollingerBands ODDS (%) | 2 days ago 61% | 2 days ago 67% |
| Aroon ODDS (%) | 2 days ago 67% | 2 days ago 85% |
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LOW and Stocks
Correlation & Price change
A.I.dvisor indicates that over the last year, LOW has been closely correlated with HD. These tickers have moved in lockstep 89% of the time. This A.I.-generated data suggests there is a high statistical probability that if LOW jumps, then HD could also see price increases.
SVV and Stocks
Correlation & Price change
A.I.dvisor indicates that over the last year, SVV has been loosely correlated with WSM. These tickers have moved in lockstep 40% of the time. This A.I.-generated data suggests there is some statistical probability that if SVV jumps, then WSM could also see price increases.