Compare trend and price AGO vs KIE
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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 AGO is a Buy and KIE 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).
AGO’s FA Score shows that 1 FA rating(s) are green while.
- AGO’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.
AGO’s TA Score shows that 4 TA indicator(s) are bullish.
- AGO’s TA Score: 4 bullish, 5 bearish.
Price Growth
AGO (@Specialty Insurance) experienced а +1.79% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Specialty Insurance industry was +0.56%. For the same industry, the average monthly price growth was -4.31%, and the average quarterly price growth was +24.47%.
Reported Earning Dates
AGO is expected to report earnings on Aug 07, 2024.
Industries' Descriptions
@Specialty Insurance (+0.56% weekly)Specialty insurance typically caters to niche-markets, and covers items that are special or unique and/or items that are not typically covered under other insurance policies. Restoration or purchase of a one-of-a-kind collector’s item, high-value home, recreational vehicles, sailboat or even jet skis, horses and farms, all-terrain vehicle, funerals, museums and fine art collections are some examples– one or more of which are covered by a specialty insurance provider. In some cases, a specialty insurance could also complement someone’s existing auto, home and umbrella policies. Markel Corp, for Fidelity National Financial, Inc., Assurant, Inc. and Athene Holding Ltd. are examples of specialty insurance providers.
AGO | ||
|---|---|---|
OUTLOOK RATING 1..100 | 51 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 73 Overvalued | |
PROFIT vs RISK RATING 1..100 | 21 | |
SMR RATING 1..100 | 92 | |
PRICE GROWTH RATING 1..100 | 50 | |
P/E GROWTH RATING 1..100 | 97 | |
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.
| AGO | KIE | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 82% | 2 days ago 86% |
| Stochastic ODDS (%) | 2 days ago 62% | 2 days ago 81% |
| Momentum ODDS (%) | 2 days ago 58% | 2 days ago 77% |
| MACD ODDS (%) | N/A | 2 days ago 76% |
| TrendWeek ODDS (%) | 2 days ago 65% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 58% | 2 days ago 75% |
| Advances ODDS (%) | 3 days ago 69% | 3 days ago 88% |
| Declines ODDS (%) | 8 days ago 60% | 11 days ago 75% |
| BollingerBands ODDS (%) | 2 days ago 79% | 2 days ago 89% |
| Aroon ODDS (%) | 2 days ago 61% | 2 days ago 86% |
KIE and
Correlation & Price change
A.I.dvisor indicates that over the last year, KIE has been closely correlated with L. These tickers have moved in lockstep 83% of the time. This A.I.-generated data suggests there is a high statistical probability that if KIE jumps, then L could also see price increases.