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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).
ALLG’s FA Score shows that 0 FA rating(s) are green whileQS’s FA Score has 0 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.
ALLG’s TA Score shows that 4 TA indicator(s) are bullish while QS’s TA Score has 2 bullish TA indicator(s).
ALLG (@Specialty Stores) experienced а -10.08% price change this week, while QS (@Auto Parts: OEM) price change was +3.90% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was +7.65%. For the same industry, the average monthly price growth was +13.14%, and the average quarterly price growth was +39.18%.
The average weekly price growth across all stocks in the @Auto Parts: OEM industry was -1.12%. For the same industry, the average monthly price growth was +0.83%, and the average quarterly price growth was -0.84%.
ALLG is expected to report earnings on Aug 19, 2024.
QS is expected to report earnings on Jul 24, 2024.
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.
@Auto Parts: OEM (-1.12% weekly)OEM or Original Equipment Manufacturer of auto parts refers to the original producer of a vehicles components, and so OEM car parts are usually identical to the parts used in producing the vehicle in the first place. OEM parts tend to fit the specifications of a particular model, and their compatibility is often guaranteed by the automaker itself. OEM parts could be more expensive to buy (compared to other vendors’ products) when a consumer goes for replacement. However, increased competition from aftermarket parts/third-party vendors could, in some cases, keep EOM prices in check. The industry might progress further in adopting newer technologies like 3D printing to boost supply chain performance and quality. Aptiv PLC, Magna International Inc. and BorgWarner Inc. are major OEMs for autos.
ALLG | QS | ALLG / QS | |
Capitalization | 152M | 3.04B | 5% |
EBITDA | N/A | -392.95M | - |
Gain YTD | -33.148 | -19.424 | 171% |
P/E Ratio | N/A | N/A | - |
Revenue | N/A | 0 | - |
Total Cash | N/A | 1.07B | - |
Total Debt | N/A | 101M | - |
ALLG | QS | |
---|---|---|
RSI ODDS (%) | 1 day ago88% | N/A |
Stochastic ODDS (%) | 1 day ago79% | 1 day ago87% |
Momentum ODDS (%) | 1 day ago84% | 1 day ago83% |
MACD ODDS (%) | 1 day ago88% | 1 day ago77% |
TrendWeek ODDS (%) | 1 day ago89% | 1 day ago79% |
TrendMonth ODDS (%) | 1 day ago90% | 1 day ago79% |
Advances ODDS (%) | 15 days ago79% | 5 days ago82% |
Declines ODDS (%) | 1 day ago90% | 1 day ago90% |
BollingerBands ODDS (%) | 1 day ago89% | 1 day ago85% |
Aroon ODDS (%) | N/A | 1 day ago89% |
A.I.dvisor indicates that over the last year, ALLG has been loosely correlated with QS. These tickers have moved in lockstep 35% of the time. This A.I.-generated data suggests there is some statistical probability that if ALLG jumps, then QS could also see price increases.
Ticker / NAME | Correlation To ALLG | 1D Price Change % | ||
---|---|---|---|---|
ALLG | 100% | -15.65% | ||
QS - ALLG | 35% Loosely correlated | -3.61% | ||
INVZ - ALLG | 35% Loosely correlated | +5.17% | ||
HYLN - ALLG | 33% Poorly correlated | -1.85% | ||
GGR - ALLG | 30% Poorly correlated | +2.04% | ||
LAZR - ALLG | 28% Poorly correlated | -0.58% | ||
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