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).
BNT’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.
BNT’s TA Score shows that 4 TA indicator(s) are bullish.
BNT (@Multi-Line Insurance) experienced а +1.48% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Multi-Line Insurance industry was +2.29%. For the same industry, the average monthly price growth was +4.80%, and the average quarterly price growth was +22.52%.
BNT is expected to report earnings on Nov 06, 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.
BNT | DISV | |
---|---|---|
RSI ODDS (%) | 2 days ago67% | 2 days ago80% |
Stochastic ODDS (%) | 2 days ago71% | 2 days ago79% |
Momentum ODDS (%) | 2 days ago54% | 2 days ago84% |
MACD ODDS (%) | 2 days ago56% | 2 days ago90% |
TrendWeek ODDS (%) | 2 days ago69% | 2 days ago87% |
TrendMonth ODDS (%) | 2 days ago58% | 2 days ago83% |
Advances ODDS (%) | 3 days ago68% | 3 days ago90% |
Declines ODDS (%) | 5 days ago69% | 16 days ago82% |
BollingerBands ODDS (%) | 2 days ago83% | 2 days ago80% |
Aroon ODDS (%) | 2 days ago61% | 2 days ago87% |
1 Day | |||
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ETFs / NAME | Price $ | Chg $ | Chg % |
PALC | 51.06 | 0.06 | +0.12% |
Pacer Lunt Large Cap Mlt Ftr Alt ETF | |||
QUP | 40.25 | N/A | N/A |
Dailydelta Q100 Upside Option Strategy ETF | |||
PBTP | 26.19 | N/A | -0.02% |
Invesco 0-5 Yr US TIPS ETF | |||
FSIG | 19.17 | -0.02 | -0.10% |
First Trust Ltd Drtn Inv Grd Corp ETF | |||
USVN | 48.32 | -0.15 | -0.31% |
F/m US Treasury 7 Year Note ETF |
A.I.dvisor indicates that over the last year, BNT has been loosely correlated with L. These tickers have moved in lockstep 59% of the time. This A.I.-generated data suggests there is some statistical probability that if BNT jumps, then L could also see price increases.
Ticker / NAME | Correlation To BNT | 1D Price Change % | ||
---|---|---|---|---|
BNT | 100% | -0.63% | ||
L - BNT | 59% Loosely correlated | +0.18% | ||
MKL - BNT | 59% Loosely correlated | -0.43% | ||
AEG - BNT | 55% Loosely correlated | +1.08% | ||
CINF - BNT | 55% Loosely correlated | +0.09% | ||
KMPR - BNT | 52% Loosely correlated | +2.77% | ||
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A.I.dvisor indicates that over the last year, DISV has been closely correlated with SAN. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if DISV jumps, then SAN could also see price increases.
Ticker / NAME | Correlation To DISV | 1D Price Change % | ||
---|---|---|---|---|
DISV | 100% | -0.26% | ||
SAN - DISV | 72% Closely correlated | +0.94% | ||
MFG - DISV | 64% Loosely correlated | +1.56% | ||
CXT - DISV | 64% Loosely correlated | -2.20% | ||
BNT - DISV | 64% Loosely correlated | -0.63% | ||
PFG - DISV | 59% Loosely correlated | -0.32% | ||
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