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BNS vs PTIN
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 BNS is a Buy and PTIN 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).
BNS’s FA Score shows that 2 FA rating(s) are green while.
- BNS’s FA Score: 2 green, 3 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.
BNS’s TA Score shows that 2 TA indicator(s) are bullish.
- BNS’s TA Score: 2 bullish, 4 bearish.
Price Growth
BNS (@Major Banks) experienced а +0.76% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Major Banks industry was -0.34%. For the same industry, the average monthly price growth was +3.44%, and the average quarterly price growth was +25.38%.
Reported Earning Dates
BNS is expected to report earnings on Aug 26, 2025.
Industries' Descriptions
@Major Banks (-0.34% weekly)Major banks are among the biggest companies in the world, often times with global reach and market capitalizations in the multi-billions. Large banks often have multiple arms spanning different disciplines, from deposits, to investment banking, to wealth management and insurance. The biggest banks often have key competitive advantages over smaller players in the industry in terms of brand recognition, cost of capital, and efficiency. Think J.P. Morgan, Bank of America, Wells Fargo, and Citigroup.
BNS | ||
|---|---|---|
OUTLOOK RATING 1..100 | 43 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 77 Overvalued | |
PROFIT vs RISK RATING 1..100 | 61 | |
SMR RATING 1..100 | 2 | |
PRICE GROWTH RATING 1..100 | 47 | |
P/E GROWTH RATING 1..100 | 16 | |
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.
| BNS | PTIN | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 44% | 3 days ago 76% |
| Stochastic ODDS (%) | N/A | 3 days ago 80% |
| Momentum ODDS (%) | N/A | 3 days ago 65% |
| MACD ODDS (%) | 3 days ago 55% | N/A |
| TrendWeek ODDS (%) | 3 days ago 50% | 3 days ago 72% |
| TrendMonth ODDS (%) | 3 days ago 44% | 3 days ago 68% |
| Advances ODDS (%) | 6 days ago 50% | 6 days ago 74% |
| Declines ODDS (%) | 13 days ago 60% | N/A |
| BollingerBands ODDS (%) | 3 days ago 73% | 3 days ago 68% |
| Aroon ODDS (%) | 3 days ago 35% | 3 days ago 69% |
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BNS and
Correlation & Price change
A.I.dvisor indicates that over the last year, BNS has been closely correlated with BMO. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if BNS jumps, then BMO could also see price increases.
PTIN and
Correlation & Price change
A.I.dvisor indicates that over the last year, PTIN has been closely correlated with BN. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if PTIN jumps, then BN could also see price increases.
| Ticker / NAME | Correlation To PTIN | 1D Price Change % | ||
|---|---|---|---|---|
| PTIN | 100% | -1.15% | ||
| BN - PTIN | 70% Closely correlated | -2.30% | ||
| SIEGY - PTIN | 67% Closely correlated | -2.04% | ||
| BNS - PTIN | 66% Loosely correlated | N/A | ||
| ABBNY - PTIN | 65% Loosely correlated | -0.68% | ||
| MFC - PTIN | 62% Loosely correlated | -2.99% | ||
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