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).
CMI’s FA Score shows that 2 FA rating(s) are green whileWEGZY’s FA Score has 1 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.
CMI’s TA Score shows that 4 TA indicator(s) are bullish while WEGZY’s TA Score has 4 bullish TA indicator(s).
CMI (@Industrial Machinery) experienced а +3.20% price change this week, while WEGZY (@Electrical Products) price change was -4.91% for the same time period.
The average weekly price growth across all stocks in the @Industrial Machinery industry was +1.74%. For the same industry, the average monthly price growth was +3.37%, and the average quarterly price growth was +16.11%.
The average weekly price growth across all stocks in the @Electrical Products industry was +3.52%. For the same industry, the average monthly price growth was +9.02%, and the average quarterly price growth was +12.72%.
CMI is expected to report earnings on Nov 04, 2025.
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.
@Electrical Products (+3.52% weekly)The industry produces a diverse range of electricity-powered equipment, appliances and components, catering to both households and industries. The products include power, distribution and specialty transformers; electric motors, generators and motor-generator sets; switchgear and switchboard apparatus; light bulbs, tubes, fittings and electric signs etc. Consumer income, construction spending, and industrial production are major drivers of demand for this industry’s products. Large companies tend to have economies of scale in production, marketing, and distribution, while smaller companies can potentially carve out their own market through niche or specialty offerings. The US electrical products manufacturing industry includes about 5,700 establishments (single-location companies and units of multi-location companies) with combined annual revenue of about $125 billion. (according to a study published in First Research). Emerson Electric Co., Hubbell Incorporated and Eaton Corporation plc are major electrical products makers in the U.S.
CMI | WEGZY | CMI / WEGZY | |
Capitalization | 55B | 28.4B | 194% |
EBITDA | 5.23B | N/A | - |
Gain YTD | 15.775 | -27.729 | -57% |
P/E Ratio | 18.73 | 23.27 | 80% |
Revenue | 33.9B | N/A | - |
Total Cash | 2.16B | N/A | - |
Total Debt | 8.04B | N/A | - |
CMI | WEGZY | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 44 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 68 Overvalued | 92 Overvalued | |
PROFIT vs RISK RATING 1..100 | 20 | 74 | |
SMR RATING 1..100 | 35 | 30 | |
PRICE GROWTH RATING 1..100 | 9 | 85 | |
P/E GROWTH RATING 1..100 | 68 | 91 | |
SEASONALITY SCORE 1..100 | 55 | 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.
CMI's Valuation (68) in the Trucks Or Construction Or Farm Machinery industry is in the same range as WEGZY (92) in the null industry. This means that CMI’s stock grew similarly to WEGZY’s over the last 12 months.
CMI's Profit vs Risk Rating (20) in the Trucks Or Construction Or Farm Machinery industry is somewhat better than the same rating for WEGZY (74) in the null industry. This means that CMI’s stock grew somewhat faster than WEGZY’s over the last 12 months.
WEGZY's SMR Rating (30) in the null industry is in the same range as CMI (35) in the Trucks Or Construction Or Farm Machinery industry. This means that WEGZY’s stock grew similarly to CMI’s over the last 12 months.
CMI's Price Growth Rating (9) in the Trucks Or Construction Or Farm Machinery industry is significantly better than the same rating for WEGZY (85) in the null industry. This means that CMI’s stock grew significantly faster than WEGZY’s over the last 12 months.
CMI's P/E Growth Rating (68) in the Trucks Or Construction Or Farm Machinery industry is in the same range as WEGZY (91) in the null industry. This means that CMI’s stock grew similarly to WEGZY’s over the last 12 months.
CMI | WEGZY | |
---|---|---|
RSI ODDS (%) | 4 days ago60% | 4 days ago79% |
Stochastic ODDS (%) | 4 days ago62% | 4 days ago78% |
Momentum ODDS (%) | N/A | 4 days ago76% |
MACD ODDS (%) | 4 days ago70% | 4 days ago74% |
TrendWeek ODDS (%) | 4 days ago62% | 4 days ago75% |
TrendMonth ODDS (%) | 4 days ago59% | 4 days ago73% |
Advances ODDS (%) | 6 days ago60% | 12 days ago75% |
Declines ODDS (%) | 4 days ago55% | 4 days ago71% |
BollingerBands ODDS (%) | 4 days ago46% | 4 days ago76% |
Aroon ODDS (%) | 4 days ago53% | 4 days ago84% |
1 Day | |||
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ETFs / NAME | Price $ | Chg $ | Chg % |
EURL | 35.49 | 0.02 | +0.06% |
Direxion Daily FTSE Europe Bull 3X ETF | |||
IGSB | 52.79 | N/A | N/A |
iShares 1-5 Year invmt Grd Corp Bd ETF | |||
MAXJ | 27.80 | -0.02 | -0.07% |
iShares Large Cap Max Buffer Jun ETF | |||
MFUS | 54.36 | -0.18 | -0.33% |
PIMCO RAFI Dyn Multi-Factor US Eq ETF | |||
SVOL | 17.30 | -0.15 | -0.86% |
Simplify Volatility Premium ETF |
A.I.dvisor indicates that over the last year, CMI has been closely correlated with ITT. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if CMI jumps, then ITT could also see price increases.
A.I.dvisor tells us that WEGZY and RRX have been poorly correlated (+32% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that WEGZY and RRX's prices will move in lockstep.
Ticker / NAME | Correlation To WEGZY | 1D Price Change % | ||
---|---|---|---|---|
WEGZY | 100% | -2.48% | ||
RRX - WEGZY | 32% Poorly correlated | -1.78% | ||
FLS - WEGZY | 31% Poorly correlated | -0.74% | ||
ROK - WEGZY | 29% Poorly correlated | -1.50% | ||
CMI - WEGZY | 28% Poorly correlated | -1.33% | ||
ERII - WEGZY | 26% Poorly correlated | -2.14% | ||
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