CAAS vs DAN
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 CAAS is a Hold and DAN is a Hold.
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).
CAAS’s FA Score shows that 0 FA rating(s) are green whileDAN’s FA Score has 2 green FA rating(s).
- CAAS’s FA Score: 0 green, 5 red.
- DAN’s FA Score: 2 green, 3 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.
CAAS’s TA Score shows that 4 TA indicator(s) are bullish while DAN’s TA Score has 3 bullish TA indicator(s).
- CAAS’s TA Score: 4 bullish, 4 bearish.
- DAN’s TA Score: 3 bullish, 4 bearish.
Price Growth
CAAS (@Auto Parts: OEM) experienced а -1.01% price change this week, while DAN (@Auto Parts: OEM) price change was -0.34% for the same time period.
The average weekly price growth across all stocks in the @Auto Parts: OEM industry was -3.30%. For the same industry, the average monthly price growth was -0.05%, and the average quarterly price growth was -6.00%.
Reported Earning Dates
CAAS is expected to report earnings on Mar 27, 2025.
DAN is expected to report earnings on May 01, 2025.
Industries' Descriptions
@Auto Parts: OEM (-3.30% 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.
| CAAS | DAN | CAAS / DAN | |
| Capitalization | 107M | 1.83B | 6% |
| EBITDA | 68M | 748M | 9% |
| Gain YTD | -3.902 | 1.298 | -301% |
| P/E Ratio | 2.91 | 48.62 | 6% |
| Revenue | 576M | 10.6B | 5% |
| Total Cash | 126M | 529M | 24% |
| Total Debt | 143M | 2.98B | 5% |
CAAS | DAN | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 59 | 6 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 52 Fair valued | 22 Undervalued | |
PROFIT vs RISK RATING 1..100 | 77 | 100 | |
SMR RATING 1..100 | 72 | 90 | |
PRICE GROWTH RATING 1..100 | 45 | 58 | |
P/E GROWTH RATING 1..100 | 34 | 5 | |
SEASONALITY SCORE 1..100 | n/a | 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.
DAN's Valuation (22) in the Auto Parts OEM industry is in the same range as CAAS (52). This means that DAN’s stock grew similarly to CAAS’s over the last 12 months.
CAAS's Profit vs Risk Rating (77) in the Auto Parts OEM industry is in the same range as DAN (100). This means that CAAS’s stock grew similarly to DAN’s over the last 12 months.
CAAS's SMR Rating (72) in the Auto Parts OEM industry is in the same range as DAN (90). This means that CAAS’s stock grew similarly to DAN’s over the last 12 months.
CAAS's Price Growth Rating (45) in the Auto Parts OEM industry is in the same range as DAN (58). This means that CAAS’s stock grew similarly to DAN’s over the last 12 months.
DAN's P/E Growth Rating (5) in the Auto Parts OEM industry is in the same range as CAAS (34). This means that DAN’s stock grew similarly to CAAS’s over the last 12 months.
| CAAS | DAN | |
|---|---|---|
| RSI ODDS (%) | 8 days ago 86% | 8 days ago 83% |
| Stochastic ODDS (%) | 8 days ago 71% | 8 days ago 82% |
| Momentum ODDS (%) | 8 days ago 76% | 8 days ago 82% |
| MACD ODDS (%) | 8 days ago 68% | 8 days ago 80% |
| TrendWeek ODDS (%) | 8 days ago 76% | 8 days ago 79% |
| TrendMonth ODDS (%) | 8 days ago 73% | 8 days ago 79% |
| Advances ODDS (%) | 16 days ago 78% | 9 days ago 75% |
| Declines ODDS (%) | 8 days ago 78% | 17 days ago 79% |
| BollingerBands ODDS (%) | 8 days ago 90% | N/A |
| Aroon ODDS (%) | 8 days ago 78% | 8 days ago 68% |
CAAS and
Correlation & Price change
A.I.dvisor tells us that CAAS and DAN have been poorly correlated (+26% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that CAAS and DAN's prices will move in lockstep.
| Ticker / NAME | Correlation To CAAS | 1D Price Change % | ||
|---|---|---|---|---|
| CAAS | 100% | -0.13% | ||
| DAN - CAAS | 26% Poorly correlated | +1.91% | ||
| MPAA - CAAS | 24% Poorly correlated | -5.00% | ||
| ADNT - CAAS | 24% Poorly correlated | +1.99% | ||
| PLOW - CAAS | 24% Poorly correlated | +0.08% | ||
| HYLN - CAAS | 23% Poorly correlated | +7.83% | ||
More | ||||
DAN and
Correlation & Price change
A.I.dvisor indicates that over the last year, DAN has been closely correlated with AXL. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if DAN jumps, then AXL could also see price increases.