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GEV vs SPMO
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 GEV is a Buy and SPMO 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).
GEV’s FA Score shows that 1 FA rating(s) are green while.
- GEV’s FA Score: 1 green, 4 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.
GEV’s TA Score shows that 5 TA indicator(s) are bullish.
- GEV’s TA Score: 5 bullish, 5 bearish.
Price Growth
GEV (@Industrial Machinery) experienced а +2.55% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Industrial Machinery industry was -1.15%. For the same industry, the average monthly price growth was -1.53%, and the average quarterly price growth was +8.07%.
Reported Earning Dates
GEV is expected to report earnings on Jul 22, 2026.
Industries' Descriptions
@Industrial Machinery (-1.15% 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.
| GEV | SPMO | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 68% | 4 days ago 78% |
| Stochastic ODDS (%) | 4 days ago 74% | 4 days ago 80% |
| Momentum ODDS (%) | 4 days ago 90% | 4 days ago 80% |
| MACD ODDS (%) | 4 days ago 90% | 4 days ago 76% |
| TrendWeek ODDS (%) | 4 days ago 89% | 4 days ago 79% |
| TrendMonth ODDS (%) | 4 days ago 88% | 4 days ago 83% |
| Advances ODDS (%) | 6 days ago 89% | 6 days ago 83% |
| Declines ODDS (%) | 4 days ago 64% | 4 days ago 76% |
| BollingerBands ODDS (%) | 4 days ago 58% | N/A |
| Aroon ODDS (%) | 4 days ago 78% | 4 days ago 85% |
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GEV and
Correlation & Price change
A.I.dvisor indicates that over the last year, GEV has been loosely correlated with ETN. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if GEV jumps, then ETN could also see price increases.
SPMO and
Correlation & Price change
A.I.dvisor indicates that over the last year, SPMO has been closely correlated with ETN. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPMO jumps, then ETN could also see price increases.
| Ticker / NAME | Correlation To SPMO | 1D Price Change % | ||
|---|---|---|---|---|
| SPMO | 100% | -2.89% | ||
| ETN - SPMO | 70% Closely correlated | -3.34% | ||
| GLW - SPMO | 67% Closely correlated | -10.81% | ||
| CMI - SPMO | 63% Loosely correlated | -3.02% | ||
| PWR - SPMO | 61% Loosely correlated | -3.34% | ||
| GEV - SPMO | 61% Loosely correlated | -1.87% | ||
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