The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
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 whilePLGO’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.
ACGL’s TA Score shows that 3 TA indicator(s) are bullish while PLGO’s TA Score has 6 bullish TA indicator(s).
ACGL (@Multi-Line Insurance) experienced а -0.75% price change this week, while PLGO (@Multi-Line Insurance) price change was +3.26% for the same time period.
The average weekly price growth across all stocks in the @Multi-Line Insurance industry was +0.48%. For the same industry, the average monthly price growth was -1.94%, and the average quarterly price growth was +5.63%.
ACGL is expected to report earnings on Nov 02, 2026.
PLGO is expected to report earnings on Nov 18, 2026.
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 | PLGO | ACGL / PLGO | |
| Capitalization | 33.5B | 2.1B | 1,599% |
| EBITDA | N/A | N/A | - |
| Gain YTD | 2.273 | 30.207 | 8% |
| P/E Ratio | 7.68 | 6.28 | 122% |
| Revenue | 19.1B | 2.13B | 898% |
| Total Cash | 12.2B | N/A | - |
| Total Debt | 2.73B | 844M | 323% |
ACGL | ||
|---|---|---|
OUTLOOK RATING 1..100 | 26 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 62 Fair valued | |
PROFIT vs RISK RATING 1..100 | 15 | |
SMR RATING 1..100 | 49 | |
PRICE GROWTH RATING 1..100 | 42 | |
P/E GROWTH RATING 1..100 | 68 | |
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.
| ACGL | PLGO | |
|---|---|---|
| RSI ODDS (%) | N/A | 1 day ago 55% |
| Stochastic ODDS (%) | 1 day ago 69% | 1 day ago 54% |
| Momentum ODDS (%) | 1 day ago 54% | 1 day ago 74% |
| MACD ODDS (%) | 1 day ago 51% | 1 day ago 77% |
| TrendWeek ODDS (%) | 1 day ago 49% | 1 day ago 68% |
| TrendMonth ODDS (%) | 1 day ago 41% | 1 day ago 52% |
| Advances ODDS (%) | 13 days ago 59% | 3 days ago 64% |
| Declines ODDS (%) | N/A | 24 days ago 50% |
| BollingerBands ODDS (%) | 1 day ago 40% | 1 day ago 66% |
| Aroon ODDS (%) | 1 day ago 68% | 1 day ago 72% |
A.I.dvisor indicates that over the last year, ACGL has been closely correlated with ORI. These tickers have moved in lockstep 73% 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% | -1.73% | ||
| ORI - ACGL | 73% Closely correlated | -1.95% | ||
| PLGO - ACGL | 45% Loosely correlated | -0.94% | ||
| IGIC - ACGL | 41% Loosely correlated | +1.01% | ||
| GSHD - ACGL | 37% Loosely correlated | -2.79% | ||
| EQH - ACGL | 34% Loosely correlated | -1.08% | ||
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A.I.dvisor indicates that over the last year, PLGO has been loosely correlated with ORI. These tickers have moved in lockstep 53% of the time. This A.I.-generated data suggests there is some statistical probability that if PLGO jumps, then ORI could also see price increases.
| Ticker / NAME | Correlation To PLGO | 1D Price Change % | ||
|---|---|---|---|---|
| PLGO | 100% | -0.94% | ||
| ORI - PLGO | 53% Loosely correlated | -1.95% | ||
| HIG - PLGO | 47% Loosely correlated | -1.16% | ||
| ACGL - PLGO | 44% Loosely correlated | -1.73% | ||
| IGIC - PLGO | 40% Loosely correlated | +1.01% | ||
| GSHD - PLGO | 38% Loosely correlated | -2.79% | ||
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