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).
AEP’s FA Score shows that 1 FA rating(s) are green whileCOR’s FA Score has 1 green FA rating(s), and ECL’s FA Score reflects 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.
AEP’s TA Score shows that 3 TA indicator(s) are bullish while COR’s TA Score has 5 bullish TA indicator(s), and ECL’s TA Score reflects 7 bullish TA indicator(s).
AEP (@Electric Utilities) experienced а -0.61% price change this week, while COR (@Medical Distributors) price change was -3.43% , and ECL (@Chemicals: Specialty) price fluctuated +2.36% for the same time period.
The average weekly price growth across all stocks in the @Electric Utilities industry was +0.41%. For the same industry, the average monthly price growth was +1.45%, and the average quarterly price growth was +8.85%.
The average weekly price growth across all stocks in the @Medical Distributors industry was +0.84%. For the same industry, the average monthly price growth was -4.00%, and the average quarterly price growth was -8.37%.
The average weekly price growth across all stocks in the @Chemicals: Specialty industry was -0.32%. For the same industry, the average monthly price growth was +3.56%, and the average quarterly price growth was +20.30%.
AEP is expected to report earnings on Jul 23, 2026.
COR is expected to report earnings on Aug 05, 2026.
ECL is expected to report earnings on Jul 28, 2026.
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.
@Medical Distributors (+0.84% weekly)Healthcare distribution market can be segmented into pharmaceutical product distribution services, medical device distribution services, and biopharmaceutical product distribution services. In addition to serving as intermediaries, many medical distributors also purchase and take legal ownership of pharmaceuticals and manage inventory and credit risk. According to a Deloitte report, pharmaceutical distributors’ core services of efficient product distribution, inventory management, financial risk management, and information-sharing generate $33 billion-$53 billion in value annually to the U.S. health care ecosystem. Some prominent players in the overall medical distribution industry include McKesson Corporation, AmerisourceBergen Corporation, Cardinal Health, Inc. and Patterson Companies, Inc.
@Chemicals: Specialty (-0.32% weekly)The specialty chemicals sector includes companies that produce chemicals and industrial gases, which are of relatively high-value, often made to customer specifications. Examples of specialty chemicals are electronic chemicals, industrial gases, coatings, adhesives and sealants, industrial and institutional cleaning chemicals. The products are often valued on the basis of their purposes/performances rather than for their composition. Linde Plc, Ecolab Inc., Air Products and Chemicals, Inc., and Dow, Inc. are some of the largest companies making specialty chemicals.
| AEP | COR | ECL | |
| Capitalization | 69.5B | 52.9B | 75.7B |
| EBITDA | 9.4B | 5.03B | 3.91B |
| Gain YTD | 12.422 | -19.194 | 3.069 |
| P/E Ratio | 18.89 | 20.83 | 36.42 |
| Revenue | 22.4B | 329B | 16.5B |
| Total Cash | 516M | 2.18B | N/A |
| Total Debt | 51.8B | 12.4B | 9.27B |
AEP | COR | ECL | ||
|---|---|---|---|---|
OUTLOOK RATING 1..100 | 9 | 24 | 29 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 51 Fair valued | 57 Fair valued | 62 Fair valued | |
PROFIT vs RISK RATING 1..100 | 23 | 38 | 61 | |
SMR RATING 1..100 | 65 | 11 | 43 | |
PRICE GROWTH RATING 1..100 | 49 | 62 | 33 | |
P/E GROWTH RATING 1..100 | 56 | 88 | 49 | |
SEASONALITY SCORE 1..100 | 50 | 50 | 32 |
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.
AEP's Valuation (51) in the Electric Utilities industry is in the same range as COR (57) in the Real Estate Investment Trusts industry, and is in the same range as ECL (62) in the Chemicals Specialty industry. This means that AEP's stock grew similarly to COR’s and similarly to ECL’s over the last 12 months.
AEP's Profit vs Risk Rating (23) in the Electric Utilities industry is in the same range as COR (38) in the Real Estate Investment Trusts industry, and is somewhat better than the same rating for ECL (61) in the Chemicals Specialty industry. This means that AEP's stock grew similarly to COR’s and somewhat faster than ECL’s over the last 12 months.
COR's SMR Rating (11) in the Real Estate Investment Trusts industry is in the same range as ECL (43) in the Chemicals Specialty industry, and is somewhat better than the same rating for AEP (65) in the Electric Utilities industry. This means that COR's stock grew similarly to ECL’s and somewhat faster than AEP’s over the last 12 months.
ECL's Price Growth Rating (33) in the Chemicals Specialty industry is in the same range as AEP (49) in the Electric Utilities industry, and is in the same range as COR (62) in the Real Estate Investment Trusts industry. This means that ECL's stock grew similarly to AEP’s and similarly to COR’s over the last 12 months.
ECL's P/E Growth Rating (49) in the Chemicals Specialty industry is in the same range as AEP (56) in the Electric Utilities industry, and is somewhat better than the same rating for COR (88) in the Real Estate Investment Trusts industry. This means that ECL's stock grew similarly to AEP’s and somewhat faster than COR’s over the last 12 months.
| AEP | COR | ECL | |
|---|---|---|---|
| RSI ODDS (%) | N/A | 3 days ago 52% | 3 days ago 71% |
| Stochastic ODDS (%) | 3 days ago 50% | 3 days ago 50% | 3 days ago 53% |
| Momentum ODDS (%) | 3 days ago 56% | 3 days ago 61% | 3 days ago 54% |
| MACD ODDS (%) | 3 days ago 57% | 3 days ago 56% | 3 days ago 56% |
| TrendWeek ODDS (%) | 3 days ago 46% | 3 days ago 43% | 3 days ago 51% |
| TrendMonth ODDS (%) | 3 days ago 49% | 3 days ago 63% | 3 days ago 47% |
| Advances ODDS (%) | 5 days ago 59% | 9 days ago 61% | 5 days ago 51% |
| Declines ODDS (%) | 3 days ago 48% | 3 days ago 42% | 17 days ago 54% |
| BollingerBands ODDS (%) | 3 days ago 61% | 3 days ago 52% | 3 days ago 49% |
| Aroon ODDS (%) | 3 days ago 35% | 3 days ago 60% | 3 days ago 39% |
A.I.dvisor indicates that over the last year, AEP has been closely correlated with LNT. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if AEP jumps, then LNT could also see price increases.
A.I.dvisor indicates that over the last year, COR has been closely correlated with MCK. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if COR jumps, then MCK could also see price increases.
| Ticker / NAME | Correlation To COR | 1D Price Change % | ||
|---|---|---|---|---|
| COR | 100% | -1.90% | ||
| MCK - COR | 70% Closely correlated | -3.74% | ||
| CAH - COR | 58% Loosely correlated | -1.99% | ||
| HSIC - COR | 20% Poorly correlated | -0.06% | ||
| FOCL - COR | 7% Poorly correlated | -1.84% | ||
| YI - COR | 1% Poorly correlated | N/A | ||
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A.I.dvisor indicates that over the last year, ECL has been loosely correlated with PPG. These tickers have moved in lockstep 61% of the time. This A.I.-generated data suggests there is some statistical probability that if ECL jumps, then PPG could also see price increases.
| Ticker / NAME | Correlation To ECL | 1D Price Change % | ||
|---|---|---|---|---|
| ECL | 100% | +0.02% | ||
| PPG - ECL | 61% Loosely correlated | +0.95% | ||
| RPM - ECL | 59% Loosely correlated | +0.92% | ||
| SHW - ECL | 57% Loosely correlated | +2.23% | ||
| AVNT - ECL | 51% Loosely correlated | +2.94% | ||
| AXTA - ECL | 49% Loosely correlated | +2.29% | ||
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