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CMS vs FT
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 CMS is a Buy and FT is a Buy.
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).
CMS’s FA Score shows that 1 FA rating(s) are green while.
- CMS’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.
CMS’s TA Score shows that 6 TA indicator(s) are bullish.
- CMS’s TA Score: 6 bullish, 4 bearish.
Price Growth
CMS (@Electric Utilities) experienced а +1.20% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Electric Utilities industry was +1.21%. For the same industry, the average monthly price growth was +2.13%, and the average quarterly price growth was +12.32%.
Reported Earning Dates
CMS is expected to report earnings on Jul 31, 2025.
Industries' Descriptions
@Electric Utilities (+1.21% weekly)Electric utilities companies generate, transmit and distribute electricity to businesses/offices and residences. Companies may be owned by the government or investors or public shareholders, or a combination thereof. The industry also includes firms that buy and sell electricity. Companies in this industry typically require significant investments in infrastructure. Many firms in this industry pay substantial and regular dividends to shareholders. However, changes in interest rates (and their impact on debt burdens), natural disasters and changing commodity prices could be factors affecting energy utilities’ profit margins. NextEra Energy, Inc., Duke Energy Corporation, Dominion Energy Inc. and Southern Company are among U.S. electric utilities companies with the largest market capitalizations.
CMS | ||
|---|---|---|
OUTLOOK RATING 1..100 | 14 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 66 Overvalued | |
PROFIT vs RISK RATING 1..100 | 35 | |
SMR RATING 1..100 | 60 | |
PRICE GROWTH RATING 1..100 | 29 | |
P/E GROWTH RATING 1..100 | 40 | |
SEASONALITY SCORE 1..100 | 65 |
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.
| CMS | FT | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 40% | 3 days ago 69% |
| Stochastic ODDS (%) | 3 days ago 43% | 3 days ago 69% |
| Momentum ODDS (%) | 3 days ago 51% | 5 days ago 88% |
| MACD ODDS (%) | 3 days ago 42% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 49% | 3 days ago 87% |
| TrendMonth ODDS (%) | 3 days ago 50% | 3 days ago 88% |
| Advances ODDS (%) | 6 days ago 51% | 10 days ago 87% |
| Declines ODDS (%) | 20 days ago 44% | 13 days ago 67% |
| BollingerBands ODDS (%) | 3 days ago 31% | 3 days ago 63% |
| Aroon ODDS (%) | 3 days ago 44% | 3 days ago 87% |
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CMS and
Correlation & Price change
A.I.dvisor indicates that over the last year, CMS has been closely correlated with WEC. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if CMS jumps, then WEC could also see price increases.
FT and
Correlation & Price change
A.I.dvisor indicates that over the last year, FT has been loosely correlated with LNT. These tickers have moved in lockstep 54% of the time. This A.I.-generated data suggests there is some statistical probability that if FT jumps, then LNT could also see price increases.