GME vs LOW
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 GME is a StrongBuy and LOW 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).
GME’s FA Score shows that 0 FA rating(s) are green whileLOW’s FA Score has 3 green FA rating(s).
- GME’s FA Score: 0 green, 5 red.
- LOW’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.
GME’s TA Score shows that 6 TA indicator(s) are bullish while LOW’s TA Score has 4 bullish TA indicator(s).
- GME’s TA Score: 6 bullish, 4 bearish.
- LOW’s TA Score: 4 bullish, 3 bearish.
Price Growth
GME (@Specialty Stores) experienced а +14.55% price change this week, while LOW (@Specialty Stores) price change was +4.05% 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 +19.21%.
Reported Earning Dates
GME is expected to report earnings on Mar 26, 2025.
LOW is expected to report earnings on Feb 26, 2025.
Industries' Descriptions
@Specialty Stores (-2.12% 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.
| GME | LOW | GME / LOW | |
| Capitalization | 3.83B | 146B | 3% |
| EBITDA | 26.5M | 13.6B | 0% |
| Gain YTD | 50.941 | 24.693 | 206% |
| P/E Ratio | 599.50 | 18.88 | 3,175% |
| Revenue | 5.27B | 86.4B | 6% |
| Total Cash | 1.2B | 921M | 130% |
| Total Debt | 603M | 40.1B | 2% |
GME | LOW | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 10 | 13 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 95 Overvalued | 10 Undervalued | |
PROFIT vs RISK RATING 1..100 | 67 | 13 | |
SMR RATING 1..100 | 89 | 8 | |
PRICE GROWTH RATING 1..100 | 38 | 45 | |
P/E GROWTH RATING 1..100 | 99 | 51 | |
SEASONALITY SCORE 1..100 | n/a | 75 |
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's Valuation (10) in the Home Improvement Chains industry is significantly better than the same rating for GME (95) in the Specialty Stores industry. This means that LOW’s stock grew significantly faster than GME’s over the last 12 months.
LOW's Profit vs Risk Rating (13) in the Home Improvement Chains industry is somewhat better than the same rating for GME (67) in the Specialty Stores industry. This means that LOW’s stock grew somewhat faster than GME’s over the last 12 months.
LOW's SMR Rating (8) in the Home Improvement Chains industry is significantly better than the same rating for GME (89) in the Specialty Stores industry. This means that LOW’s stock grew significantly faster than GME’s over the last 12 months.
GME's Price Growth Rating (38) in the Specialty Stores industry is in the same range as LOW (45) in the Home Improvement Chains industry. This means that GME’s stock grew similarly to LOW’s over the last 12 months.
LOW's P/E Growth Rating (51) in the Home Improvement Chains industry is somewhat better than the same rating for GME (99) in the Specialty Stores industry. This means that LOW’s stock grew somewhat faster than GME’s over the last 12 months.
| GME | LOW | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 55% |
| Stochastic ODDS (%) | 2 days ago 88% | 2 days ago 49% |
| Momentum ODDS (%) | 2 days ago 78% | 2 days ago 71% |
| MACD ODDS (%) | 2 days ago 80% | 2 days ago 68% |
| TrendWeek ODDS (%) | 2 days ago 82% | 2 days ago 67% |
| TrendMonth ODDS (%) | 2 days ago 82% | 2 days ago 58% |
| Advances ODDS (%) | 4 days ago 83% | 4 days ago 65% |
| Declines ODDS (%) | 2 days ago 85% | N/A |
| BollingerBands ODDS (%) | 2 days ago 90% | N/A |
| Aroon ODDS (%) | 2 days ago 87% | 2 days ago 61% |
GME and
Correlation & Price change
A.I.dvisor tells us that GME and CRMT have been poorly correlated (+32% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that GME and CRMT's prices will move in lockstep.
| Ticker / NAME | Correlation To GME | 1D Price Change % | ||
|---|---|---|---|---|
| GME | 100% | -1.42% | ||
| CRMT - GME | 32% Poorly correlated | +0.43% | ||
| BARK - GME | 31% Poorly correlated | +2.61% | ||
| LESL - GME | 27% Poorly correlated | -1.37% | ||
| HD - GME | 26% Poorly correlated | +1.76% | ||
| LOW - GME | 26% Poorly correlated | +0.90% | ||
More | ||||
LOW and
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 86% 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.