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).
ACGL’s FA Score shows that 1 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.
ACGL’s TA Score shows that 6 TA indicator(s) are bullish.
ACGL (@Multi-Line Insurance) experienced а -10.11% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Multi-Line Insurance industry was -4.62%. For the same industry, the average monthly price growth was -0.43%, and the average quarterly price growth was +4.17%.
ACGL is expected to report earnings on Jul 23, 2025.
A multi-line insurance contract bundles together exposures to risk and covers them under a single contract. For providers of such policies, the bundle is a potential risk diversification strategy since their exposure gets spread over several factors, which helps them mitigate a financial burden if a catastrophic event were to occur. Other potential benefits include getting more premiums from including more than one type of insurance in a bundle, and getting a competitive edge by procuring multiple insurance contracts with a customer. Examples of companies in this industry are Berkshire Hathaway (which owns several insurance companies), Chubb Limited, American International Group, Inc. and Sun Life Financial Inc.
ACGL | ||
---|---|---|
OUTLOOK RATING 1..100 | 78 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 83 Overvalued | |
PROFIT vs RISK RATING 1..100 | 9 | |
SMR RATING 1..100 | 96 | |
PRICE GROWTH RATING 1..100 | 59 | |
P/E GROWTH RATING 1..100 | 40 | |
SEASONALITY SCORE 1..100 | n/a |
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.
ACGL | BTAL | |
---|---|---|
RSI ODDS (%) | 2 days ago81% | 2 days ago79% |
Stochastic ODDS (%) | 2 days ago66% | 2 days ago82% |
Momentum ODDS (%) | 2 days ago57% | 2 days ago83% |
MACD ODDS (%) | 2 days ago57% | 2 days ago87% |
TrendWeek ODDS (%) | 2 days ago53% | 2 days ago83% |
TrendMonth ODDS (%) | 2 days ago42% | 2 days ago88% |
Advances ODDS (%) | 14 days ago65% | 10 days ago82% |
Declines ODDS (%) | 3 days ago51% | 3 days ago83% |
BollingerBands ODDS (%) | 2 days ago77% | 2 days ago85% |
Aroon ODDS (%) | 2 days ago61% | 2 days ago88% |
A.I.dvisor indicates that over the last year, ACGL has been closely correlated with ORI. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if ACGL jumps, then ORI could also see price increases.
Ticker / NAME | Correlation To ACGL | 1D Price Change % | ||
---|---|---|---|---|
ACGL | 100% | +1.68% | ||
ORI - ACGL | 68% Closely correlated | +0.31% | ||
HIG - ACGL | 61% Loosely correlated | +0.25% | ||
AIG - ACGL | 56% Loosely correlated | +0.14% | ||
FIHL - ACGL | 39% Loosely correlated | +1.07% | ||
IGIC - ACGL | 39% Loosely correlated | +5.35% | ||
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A.I.dvisor indicates that over the last year, BTAL has been loosely correlated with MCK. These tickers have moved in lockstep 37% of the time. This A.I.-generated data suggests there is some statistical probability that if BTAL jumps, then MCK could also see price increases.
Ticker / NAME | Correlation To BTAL | 1D Price Change % | ||
---|---|---|---|---|
BTAL | 100% | +1.30% | ||
MCK - BTAL | 37% Loosely correlated | -1.38% | ||
MO - BTAL | 33% Poorly correlated | -0.18% | ||
CBOE - BTAL | 32% Poorly correlated | +0.41% | ||
PGR - BTAL | 30% Poorly correlated | +2.00% | ||
ACGL - BTAL | 28% Poorly correlated | +1.68% | ||
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