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ATMU or IR or PH
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).
ATMU’s FA Score shows that 1 FA rating(s) are green whileIR’s FA Score has 0 green FA rating(s), and PH’s FA Score reflects 2 green FA rating(s).
- ATMU’s FA Score: 1 green, 4 red.
- IR’s FA Score: 0 green, 5 red.
- PH’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.
ATMU’s TA Score shows that 3 TA indicator(s) are bullish while IR’s TA Score has 3 bullish TA indicator(s), and PH’s TA Score reflects 3 bullish TA indicator(s).
- ATMU’s TA Score: 3 bullish, 5 bearish.
- IR’s TA Score: 3 bullish, 6 bearish.
- PH’s TA Score: 3 bullish, 5 bearish.
Price Growth
ATMU (@Auto Parts: OEM) experienced а -5.87% price change this week, while IR (@Industrial Machinery) price change was -2.82% , and PH (@Industrial Machinery) price fluctuated -3.75% for the same time period.
The average weekly price growth across all stocks in the @Auto Parts: OEM industry was -1.08%. For the same industry, the average monthly price growth was -0.86%, and the average quarterly price growth was -1.94%.
The average weekly price growth across all stocks in the @Industrial Machinery industry was -1.90%. For the same industry, the average monthly price growth was -0.13%, and the average quarterly price growth was -6.81%.
Reported Earning Dates
ATMU is expected to report earnings on Nov 06, 2026.
IR is expected to report earnings on Nov 04, 2026.
PH is expected to report earnings on Oct 29, 2026.
Industries' Descriptions
@Auto Parts: OEM (-1.08% 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.
@Industrial Machinery (-1.90% weekly)The industry makes and maintains machines for consumers, the industry, and most other companies. While it has traditionally been categorized as heavy industry, some smaller companies are also branching into the light category. The industry is pivotal in providing the equipment for production in businesses like agriculture, mining, industry and construction, gas, electricity and water utilities. It also supplies supporting equipment for almost all sectors of the economy, such as equipment for heating, and air conditioning of buildings. Illinois Tool Works Inc., Parker-Hannifin Corporation and Rockwell Automation Inc are some of the major U.S. companies operating in this industry.
| ATMU | IR | PH | |
| Capitalization | 3.93B | 31B | 128B |
| EBITDA | 344M | 2B | 5.63B |
| Gain YTD | -7.099 | 1.046 | 15.867 |
| P/E Ratio | 18.44 | 33.05 | 35.61 |
| Revenue | 1.83B | 7.94B | 21B |
| Total Cash | 210M | N/A | 476M |
| Total Debt | 1.06B | 4.83B | 9.58B |
IR | PH | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 55 | 82 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 65 Fair valued | 80 Overvalued | |
PROFIT vs RISK RATING 1..100 | 55 | 5 | |
SMR RATING 1..100 | 73 | 39 | |
PRICE GROWTH RATING 1..100 | 57 | 46 | |
P/E GROWTH RATING 1..100 | 92 | 22 | |
SEASONALITY SCORE 1..100 | 50 | 75 |
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.
IR's Valuation (65) in the Industrial Conglomerates industry is in the same range as PH (80) in the Industrial Machinery industry. This means that IR’s stock grew similarly to PH’s over the last 12 months.
PH's Profit vs Risk Rating (5) in the Industrial Machinery industry is somewhat better than the same rating for IR (55) in the Industrial Conglomerates industry. This means that PH’s stock grew somewhat faster than IR’s over the last 12 months.
PH's SMR Rating (39) in the Industrial Machinery industry is somewhat better than the same rating for IR (73) in the Industrial Conglomerates industry. This means that PH’s stock grew somewhat faster than IR’s over the last 12 months.
PH's Price Growth Rating (46) in the Industrial Machinery industry is in the same range as IR (57) in the Industrial Conglomerates industry. This means that PH’s stock grew similarly to IR’s over the last 12 months.
PH's P/E Growth Rating (22) in the Industrial Machinery industry is significantly better than the same rating for IR (92) in the Industrial Conglomerates industry. This means that PH’s stock grew significantly faster than IR’s over the last 12 months.
| ATMU | IR | PH | |
|---|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 49% | 2 days ago 38% |
| Stochastic ODDS (%) | 2 days ago 76% | 2 days ago 76% | 2 days ago 82% |
| Momentum ODDS (%) | 2 days ago 47% | 2 days ago 52% | 2 days ago 47% |
| MACD ODDS (%) | 2 days ago 62% | 2 days ago 56% | 2 days ago 38% |
| TrendWeek ODDS (%) | 2 days ago 64% | 2 days ago 59% | 2 days ago 54% |
| TrendMonth ODDS (%) | 2 days ago 67% | 2 days ago 62% | 2 days ago 69% |
| Advances ODDS (%) | 5 days ago 76% | 21 days ago 66% | 2 days ago 72% |
| Declines ODDS (%) | 7 days ago 55% | 8 days ago 58% | 6 days ago 46% |
| BollingerBands ODDS (%) | N/A | 2 days ago 56% | 2 days ago 43% |
| Aroon ODDS (%) | 2 days ago 62% | 2 days ago 70% | 2 days ago 70% |
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| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| LVHD | 44.73 | 0.35 | +0.80% |
| Franklin U.S. Low Volatility Hi Div ETF | |||
| YLDE | 57.88 | 0.24 | +0.42% |
| Franklin ClearBridge Enhanced Inc ETF | |||
| CSIO | 28.49 | 0.02 | +0.09% |
| Cohen & Steers Infrastr Opp Act ETF | |||
| PMMR | 27.15 | N/A | N/A |
| PGIM S&P 500 Max Buffer ETF - March | |||
| BBAX | 65.05 | -0.22 | -0.34% |
| JPMorgan BetaBuilders Dev APAC ex-JpnETF | |||
ATMU and
Correlation & Price change
A.I.dvisor indicates that over the last year, ATMU has been closely correlated with PH. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if ATMU jumps, then PH could also see price increases.
| Ticker / NAME | Correlation To ATMU | 1D Price Change % | ||
|---|---|---|---|---|
| ATMU | 100% | -3.35% | ||
| PH - ATMU | 73% Closely correlated | +1.25% | ||
| DOV - ATMU | 69% Closely correlated | +0.84% | ||
| ITT - ATMU | 68% Closely correlated | -1.51% | ||
| CMI - ATMU | 67% Closely correlated | -2.73% | ||
| DCI - ATMU | 67% Closely correlated | -0.88% | ||
More | ||||
IR and
Correlation & Price change
A.I.dvisor indicates that over the last year, IR has been closely correlated with JCI. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if IR jumps, then JCI could also see price increases.
PH and
Correlation & Price change
A.I.dvisor indicates that over the last year, PH has been closely correlated with IR. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if PH jumps, then IR could also see price increases.