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).
MGA’s FA Score shows that 1 FA rating(s) are green whilePHIN’s FA Score has 2 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.
MGA’s TA Score shows that 6 TA indicator(s) are bullish while PHIN’s TA Score has 4 bullish TA indicator(s).
MGA (@Auto Parts: OEM) experienced а -2.85% price change this week, while PHIN (@Auto Parts: OEM) price change was -1.23% for the same time period.
The average weekly price growth across all stocks in the @Auto Parts: OEM industry was -3.44%. For the same industry, the average monthly price growth was +1.71%, and the average quarterly price growth was -7.46%.
MGA is expected to report earnings on Nov 01, 2024.
PHIN is expected to report earnings on Nov 04, 2024.
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.
MGA | PHIN | MGA / PHIN | |
Capitalization | 15.7B | 1.78B | 882% |
EBITDA | 3.6B | 433M | 830% |
Gain YTD | -29.333 | 58.993 | -50% |
P/E Ratio | 12.61 | 18.24 | 69% |
Revenue | 42.8B | 3.5B | 1,223% |
Total Cash | 1.2B | 365M | 328% |
Total Debt | 7.22B | 864M | 836% |
MGA | ||
---|---|---|
OUTLOOK RATING 1..100 | 70 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 7 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 75 | |
PRICE GROWTH RATING 1..100 | 60 | |
P/E GROWTH RATING 1..100 | 88 | |
SEASONALITY SCORE 1..100 | n/a |
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.
MGA | PHIN | |
---|---|---|
RSI ODDS (%) | 3 days ago74% | 3 days ago70% |
Stochastic ODDS (%) | 3 days ago70% | 3 days ago67% |
Momentum ODDS (%) | 3 days ago67% | 3 days ago87% |
MACD ODDS (%) | 3 days ago60% | 3 days ago67% |
TrendWeek ODDS (%) | 3 days ago70% | 3 days ago55% |
TrendMonth ODDS (%) | 3 days ago69% | 3 days ago80% |
Advances ODDS (%) | 13 days ago64% | 9 days ago75% |
Declines ODDS (%) | 10 days ago69% | 11 days ago53% |
BollingerBands ODDS (%) | 4 days ago59% | 3 days ago50% |
Aroon ODDS (%) | 3 days ago74% | 3 days ago75% |
A.I.dvisor indicates that over the last year, MGA has been closely correlated with LEA. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if MGA jumps, then LEA could also see price increases.
A.I.dvisor indicates that over the last year, PHIN has been loosely correlated with DAN. These tickers have moved in lockstep 57% of the time. This A.I.-generated data suggests there is some statistical probability that if PHIN jumps, then DAN could also see price increases.
Ticker / NAME | Correlation To PHIN | 1D Price Change % | ||
---|---|---|---|---|
PHIN | 100% | -0.92% | ||
DAN - PHIN | 57% Loosely correlated | -1.13% | ||
MGA - PHIN | 51% Loosely correlated | -2.60% | ||
HLLY - PHIN | 51% Loosely correlated | -1.56% | ||
ALV - PHIN | 50% Loosely correlated | -0.95% | ||
LEA - PHIN | 50% Loosely correlated | -0.05% | ||
More |