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).
AEGOF’s FA Score shows that 2 FA rating(s) are green whileAGESF’s FA Score has 2 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.
AEGOF’s TA Score shows that 3 TA indicator(s) are bullish while AGESF’s TA Score has 2 bullish TA indicator(s).
AEGOF (@Multi-Line Insurance) experienced а +2.83% price change this week, while AGESF (@Multi-Line Insurance) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Multi-Line Insurance industry was +0.98%. For the same industry, the average monthly price growth was +4.81%, and the average quarterly price growth was +23.72%.
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.
AEGOF | AGESF | AEGOF / AGESF | |
Capitalization | 10.5B | 7.8B | 135% |
EBITDA | N/A | N/A | - |
Gain YTD | 22.017 | 39.059 | 56% |
P/E Ratio | 13.46 | 7.36 | 183% |
Revenue | -15.85B | 10.3B | -154% |
Total Cash | 64.3B | 49.6B | 130% |
Total Debt | 6.67B | 4.55B | 147% |
AEGOF | AGESF | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 94 | 47 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 12 Undervalued | 13 Undervalued | |
PROFIT vs RISK RATING 1..100 | 19 | 32 | |
SMR RATING 1..100 | 90 | 96 | |
PRICE GROWTH RATING 1..100 | 50 | 47 | |
P/E GROWTH RATING 1..100 | 49 | 42 | |
SEASONALITY SCORE 1..100 | n/a | 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.
AEGOF's Valuation (12) in the null industry is in the same range as AGESF (13). This means that AEGOF’s stock grew similarly to AGESF’s over the last 12 months.
AEGOF's Profit vs Risk Rating (19) in the null industry is in the same range as AGESF (32). This means that AEGOF’s stock grew similarly to AGESF’s over the last 12 months.
AEGOF's SMR Rating (90) in the null industry is in the same range as AGESF (96). This means that AEGOF’s stock grew similarly to AGESF’s over the last 12 months.
AGESF's Price Growth Rating (47) in the null industry is in the same range as AEGOF (50). This means that AGESF’s stock grew similarly to AEGOF’s over the last 12 months.
AGESF's P/E Growth Rating (42) in the null industry is in the same range as AEGOF (49). This means that AGESF’s stock grew similarly to AEGOF’s over the last 12 months.
AEGOF | AGESF | |
---|---|---|
RSI ODDS (%) | 2 days ago60% | N/A |
Stochastic ODDS (%) | 2 days ago32% | 2 days ago33% |
Momentum ODDS (%) | 2 days ago58% | N/A |
MACD ODDS (%) | 2 days ago39% | 4 days ago10% |
TrendWeek ODDS (%) | 2 days ago48% | 2 days ago17% |
TrendMonth ODDS (%) | 2 days ago52% | 2 days ago15% |
Advances ODDS (%) | N/A | N/A |
Declines ODDS (%) | N/A | N/A |
BollingerBands ODDS (%) | 2 days ago44% | N/A |
Aroon ODDS (%) | 2 days ago42% | 2 days ago14% |
1 Day | |||
---|---|---|---|
ETFs / NAME | Price $ | Chg $ | Chg % |
SHYD | 22.46 | 0.07 | +0.31% |
VanEck Short High Yield Muni ETF | |||
SPDG | 39.20 | 0.10 | +0.27% |
SPDR Portfolio S&P Sector Netrl Div ETF | |||
DFNM | 47.22 | 0.03 | +0.05% |
Dimensional National Municipal Bond ETF | |||
LIAO | 208.25 | N/A | N/A |
LifeX 2056 Infl-Prt Longevity Inc ETF | |||
VIXM | 16.51 | -0.07 | -0.42% |
ProShares VIX Mid-Term Futures |
A.I.dvisor tells us that AEGOF and AXAHF have been poorly correlated (+22% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that AEGOF and AXAHF's prices will move in lockstep.
Ticker / NAME | Correlation To AEGOF | 1D Price Change % | ||
---|---|---|---|---|
AEGOF | 100% | -3.84% | ||
AXAHF - AEGOF | 22% Poorly correlated | N/A | ||
AGESY - AEGOF | 11% Poorly correlated | -1.04% | ||
AIVAF - AEGOF | 10% Poorly correlated | -0.40% | ||
ARZGY - AEGOF | 10% Poorly correlated | +0.69% | ||
ARZGF - AEGOF | 9% Poorly correlated | N/A | ||
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A.I.dvisor tells us that AGESF and IGIC have been poorly correlated (+11% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that AGESF and IGIC's prices will move in lockstep.
Ticker / NAME | Correlation To AGESF | 1D Price Change % | ||
---|---|---|---|---|
AGESF | 100% | N/A | ||
IGIC - AGESF | 11% Poorly correlated | +2.08% | ||
ARZGY - AGESF | 4% Poorly correlated | +0.69% | ||
AIVAF - AGESF | 1% Poorly correlated | -0.40% | ||
AEGOF - AGESF | -0% Poorly correlated | -3.84% | ||
ARZGF - AGESF | -1% Poorly correlated | N/A | ||
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