MRSH | ||
|---|---|---|
OUTLOOK RATING 1..100 | 16 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 82 Overvalued | |
PROFIT vs RISK RATING 1..100 | 87 | |
SMR RATING 1..100 | 37 | |
PRICE GROWTH RATING 1..100 | 70 | |
P/E GROWTH RATING 1..100 | 47 | |
SEASONALITY SCORE 1..100 | 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.
| MRSH | SELV | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 57% | 4 days ago 90% |
| Stochastic ODDS (%) | 4 days ago 60% | 4 days ago 79% |
| Momentum ODDS (%) | 4 days ago 43% | 4 days ago 70% |
| MACD ODDS (%) | 4 days ago 47% | 5 days ago 60% |
| TrendWeek ODDS (%) | 4 days ago 49% | 4 days ago 57% |
| TrendMonth ODDS (%) | 4 days ago 47% | 4 days ago 61% |
| Advances ODDS (%) | 5 days ago 48% | 4 days ago 79% |
| Declines ODDS (%) | 14 days ago 43% | 6 days ago 56% |
| BollingerBands ODDS (%) | 4 days ago 56% | 4 days ago 85% |
| Aroon ODDS (%) | 4 days ago 41% | 4 days ago 51% |
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 overvalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
MRSH’s FA Score shows that 0 FA rating(s) are green while .
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.
MRSH’s TA Score shows that 5 TA indicator(s) are bullish.
MRSH (@Insurance Brokers/Services) experienced а -0.04% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Insurance Brokers/Services industry was +0.63%. For the same industry, the average monthly price growth was -16.78%, and the average quarterly price growth was +3.80%.
MRSH is expected to report earnings on Oct 15, 2026.
Insurance brokers sell, solicit, or negotiate insurance for compensation. General insurance brokers mostly cater to insurances on car, house etc. (versus life). Brokers are also often instrumental in helping small employers find health insurance, particularly in more competitive markets. Additionally, brokers may also provide risk assessments, insurance consulting services, insurance-related regulatory and legislative update services. Some of the major names in this industry include Marsh & McLennan Companies, Inc., Aon plc and Verisk Analytics Inc.
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A.I.dvisor indicates that over the last year, MRSH has been closely correlated with BRO. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if MRSH jumps, then BRO could also see price increases.
| Ticker / NAME | Correlation To MRSH | 1D Price Change % | ||
|---|---|---|---|---|
| MRSH | 100% | -1.04% | ||
| BRO - MRSH | 80% Closely correlated | -3.01% | ||
| AJG - MRSH | 78% Closely correlated | -2.46% | ||
| AON - MRSH | 77% Closely correlated | -2.36% | ||
| WTW - MRSH | 66% Loosely correlated | -1.03% | ||
| RYAN - MRSH | 58% Loosely correlated | -1.88% | ||
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A.I.dvisor indicates that over the last year, SELV has been loosely correlated with L. These tickers have moved in lockstep 55% of the time. This A.I.-generated data suggests there is some statistical probability that if SELV jumps, then L could also see price increases.
| Ticker / NAME | Correlation To SELV | 1D Price Change % | ||
|---|---|---|---|---|
| SELV | 100% | +0.26% | ||
| L - SELV | 55% Loosely correlated | +0.93% | ||
| ACN - SELV | 54% Loosely correlated | -6.31% | ||
| MRSH - SELV | 54% Loosely correlated | -1.04% | ||
| CL - SELV | 53% Loosely correlated | -0.32% | ||
| MCD - SELV | 53% Loosely correlated | +0.03% | ||
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