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).
BWMX’s FA Score shows that 3 FA rating(s) are green whileSDA’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.
BWMX’s TA Score shows that 5 TA indicator(s) are bullish while SDA’s TA Score has 5 bullish TA indicator(s).
BWMX (@Specialty Stores) experienced а +2.06% price change this week, while SDA (@Automotive Aftermarket) price change was +1.83% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was +0.60%. For the same industry, the average monthly price growth was -0.67%, and the average quarterly price growth was -2.45%.
The average weekly price growth across all stocks in the @Automotive Aftermarket industry was +1.13%. For the same industry, the average monthly price growth was -6.48%, and the average quarterly price growth was +1.92%.
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.
@Automotive Aftermarket (+1.13% weekly)The Automotive Aftermarket consists of the manufacturing, remanufacturing, distribution, retailing, and installation of vehicle parts and accessories, after the sale of the automobile by the original equipment manufacturer (OEM) to the consumer. The aftermarket parts many not be manufactured by the OEM. According to a Technavio study, the US automotive parts aftermarket size is estimated to grow by USD 24.33 billion during 2018-2022 (CAGR 3%). Like many other industries, the automotive aftermarket is also being intensely penetrated by the digital boom. The online auto parts sales market is predicted to exceed $13B by 2020 (according to a study by Mirakl).
BWMX | SDA | BWMX / SDA | |
Capitalization | 499M | 229M | 218% |
EBITDA | 1.99B | -50.28M | -3,956% |
Gain YTD | 26.449 | -76.891 | -34% |
P/E Ratio | 12.44 | N/A | - |
Revenue | 14.2B | 459M | 3,094% |
Total Cash | 392M | 60.5M | 648% |
Total Debt | 5.46B | 84.8M | 6,438% |
BWMX | SDA | |
---|---|---|
RSI ODDS (%) | 4 days ago69% | 4 days ago75% |
Stochastic ODDS (%) | 4 days ago74% | 4 days ago62% |
Momentum ODDS (%) | 4 days ago82% | N/A |
MACD ODDS (%) | N/A | 4 days ago66% |
TrendWeek ODDS (%) | 4 days ago75% | 4 days ago46% |
TrendMonth ODDS (%) | 4 days ago78% | 4 days ago68% |
Advances ODDS (%) | 4 days ago77% | 5 days ago74% |
Declines ODDS (%) | 11 days ago77% | 11 days ago76% |
BollingerBands ODDS (%) | 4 days ago78% | 4 days ago71% |
Aroon ODDS (%) | 4 days ago78% | 4 days ago88% |
A.I.dvisor indicates that over the last year, BWMX has been loosely correlated with GPGNF. These tickers have moved in lockstep 40% of the time. This A.I.-generated data suggests there is some statistical probability that if BWMX jumps, then GPGNF could also see price increases.
Ticker / NAME | Correlation To BWMX | 1D Price Change % | ||
---|---|---|---|---|
BWMX | 100% | +0.15% | ||
GPGNF - BWMX | 40% Loosely correlated | N/A | ||
FKRAF - BWMX | 35% Loosely correlated | N/A | ||
HZO - BWMX | 25% Poorly correlated | -2.56% | ||
ONEW - BWMX | 24% Poorly correlated | -3.24% | ||
SDA - BWMX | 24% Poorly correlated | -1.33% | ||
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A.I.dvisor tells us that SDA and FKRAF have been poorly correlated (+26% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SDA and FKRAF's prices will move in lockstep.
Ticker / NAME | Correlation To SDA | 1D Price Change % | ||
---|---|---|---|---|
SDA | 100% | -1.33% | ||
FKRAF - SDA | 26% Poorly correlated | N/A | ||
BWMX - SDA | 24% Poorly correlated | +0.15% | ||
CWH - SDA | 21% Poorly correlated | -2.19% | ||
EYE - SDA | 20% Poorly correlated | -6.33% | ||
ODP - SDA | 20% Poorly correlated | -1.12% | ||
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