PH vs PPA
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 PH is a Buy and PPA is a StrongBuy.
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).
PH’s FA Score shows that 2 FA rating(s) are green while.
- 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.
PH’s TA Score shows that 4 TA indicator(s) are bullish.
- PH’s TA Score: 4 bullish, 4 bearish.
Price Growth
PH (@Industrial Machinery) experienced а +0.72% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Industrial Machinery industry was -0.60%. For the same industry, the average monthly price growth was +0.77%, and the average quarterly price growth was +3.98%.
Reported Earning Dates
PH is expected to report earnings on Jan 30, 2025.
Industries' Descriptions
@Industrial Machinery (-0.60% 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.
PH | ||
|---|---|---|
OUTLOOK RATING 1..100 | 21 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 86 Overvalued | |
PROFIT vs RISK RATING 1..100 | 3 | |
SMR RATING 1..100 | 39 | |
PRICE GROWTH RATING 1..100 | 12 | |
P/E GROWTH RATING 1..100 | 36 | |
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.
| PH | PPA | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 48% | 1 day ago 87% |
| Stochastic ODDS (%) | 1 day ago 57% | 1 day ago 87% |
| Momentum ODDS (%) | 1 day ago 68% | 1 day ago 83% |
| MACD ODDS (%) | 1 day ago 76% | 1 day ago 83% |
| TrendWeek ODDS (%) | 1 day ago 67% | 1 day ago 86% |
| TrendMonth ODDS (%) | 1 day ago 69% | 1 day ago 85% |
| Advances ODDS (%) | 1 day ago 66% | 1 day ago 84% |
| Declines ODDS (%) | 4 days ago 49% | 5 days ago 81% |
| BollingerBands ODDS (%) | 1 day ago 44% | 1 day ago 80% |
| Aroon ODDS (%) | 1 day ago 59% | 1 day ago 83% |
PH and
Correlation & Price change
A.I.dvisor indicates that over the last year, PH has been closely correlated with ITT. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if PH jumps, then ITT could also see price increases.
PPA and
Correlation & Price change
A.I.dvisor indicates that over the last year, PPA has been closely correlated with CW. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if PPA jumps, then CW could also see price increases.