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).
CANG’s FA Score shows that 0 FA rating(s) are green whileLMPX’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.
CANG’s TA Score shows that 7 TA indicator(s) are bullish while LMPX’s TA Score has 5 bullish TA indicator(s).
CANG (@Investment Banks/Brokers) experienced а +5.66% price change this week, while LMPX (@Automotive Aftermarket) price change was -6.54% for the same time period.
The average weekly price growth across all stocks in the @Investment Banks/Brokers industry was +0.77%. For the same industry, the average monthly price growth was +0.60%, and the average quarterly price growth was +41.42%.
The average weekly price growth across all stocks in the @Automotive Aftermarket industry was -0.52%. For the same industry, the average monthly price growth was +3.68%, and the average quarterly price growth was +4.19%.
CANG is expected to report earnings on Dec 01, 2025.
LMPX is expected to report earnings on Nov 18, 2025.
These banks specialize in underwriting (helping companies with debt financing or equity issuances), IPOs, facilitating mergers and other corporate reorganizations and acting as a broker or financial advisor for institutions. They might also trade securities on their own accounts. Investment banks potentially thrive on expanding its network of clients, since that could help them increase profits. Goldman Sachs, Morgan Stanley and CME Group Inc are some of the largest investment banking companies.
@Automotive Aftermarket (-0.52% 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).
CANG | LMPX | CANG / LMPX | |
Capitalization | 523M | 1.91M | 27,397% |
EBITDA | 5.02M | N/A | - |
Gain YTD | 14.545 | -76.923 | -19% |
P/E Ratio | 11.51 | N/A | - |
Revenue | 1.79B | N/A | - |
Total Cash | 2.52B | N/A | - |
Total Debt | 834M | N/A | - |
CANG | ||
---|---|---|
OUTLOOK RATING 1..100 | 79 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 74 Overvalued | |
PROFIT vs RISK RATING 1..100 | 71 | |
SMR RATING 1..100 | 91 | |
PRICE GROWTH RATING 1..100 | 38 | |
P/E GROWTH RATING 1..100 | 35 | |
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.
CANG | LMPX | |
---|---|---|
RSI ODDS (%) | N/A | 3 days ago69% |
Stochastic ODDS (%) | 3 days ago77% | 3 days ago61% |
Momentum ODDS (%) | 3 days ago84% | 3 days ago71% |
MACD ODDS (%) | 3 days ago86% | 3 days ago65% |
TrendWeek ODDS (%) | 3 days ago83% | 3 days ago63% |
TrendMonth ODDS (%) | 3 days ago83% | 3 days ago64% |
Advances ODDS (%) | 14 days ago84% | N/A |
Declines ODDS (%) | 6 days ago83% | N/A |
BollingerBands ODDS (%) | 5 days ago85% | 3 days ago67% |
Aroon ODDS (%) | 3 days ago88% | 3 days ago78% |
A.I.dvisor indicates that over the last year, CANG has been loosely correlated with MARA. These tickers have moved in lockstep 37% of the time. This A.I.-generated data suggests there is some statistical probability that if CANG jumps, then MARA could also see price increases.
Ticker / NAME | Correlation To CANG | 1D Price Change % | ||
---|---|---|---|---|
CANG | 100% | +6.55% | ||
MARA - CANG | 37% Loosely correlated | +0.53% | ||
HUT - CANG | 36% Loosely correlated | -0.90% | ||
BITF - CANG | 33% Poorly correlated | +3.20% | ||
BTBT - CANG | 31% Poorly correlated | +1.21% | ||
CLSK - CANG | 31% Poorly correlated | +1.76% | ||
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A.I.dvisor tells us that LMPX and BWMX have been poorly correlated (+-1% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that LMPX and BWMX's prices will move in lockstep.
Ticker / NAME | Correlation To LMPX | 1D Price Change % | ||
---|---|---|---|---|
LMPX | 100% | -6.54% | ||
BWMX - LMPX | -1% Poorly correlated | +0.74% | ||
CANG - LMPX | -1% Poorly correlated | +6.55% | ||
KXIN - LMPX | -3% Poorly correlated | +13.57% | ||
UXIN - LMPX | -3% Poorly correlated | -1.13% | ||
ONEW - LMPX | -5% Poorly correlated | +3.13% | ||
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