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ANZGY vs CABPF
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 ANZGY is a Buy and CABPF is a Hold.
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).
ANZGY’s FA Score shows that 3 FA rating(s) are green whileCABPF’s FA Score has 0 green FA rating(s).
- ANZGY’s FA Score: 3 green, 2 red.
- CABPF’s FA Score: 0 green, 5 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.
ANZGY’s TA Score shows that 4 TA indicator(s) are bullish while CABPF’s TA Score has 3 bullish TA indicator(s).
- ANZGY’s TA Score: 4 bullish, 4 bearish.
- CABPF’s TA Score: 3 bullish, 3 bearish.
Price Growth
ANZGY (@Major Banks) experienced а +5.42% price change this week, while CABPF (@Major Banks) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Major Banks industry was +1.31%. For the same industry, the average monthly price growth was -1.33%, and the average quarterly price growth was +26.23%.
Industries' Descriptions
@Major Banks (+1.31% 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.
| ANZGY | CABPF | ANZGY / CABPF | |
| Capitalization | 71.1B | 171M | 41,579% |
| EBITDA | N/A | N/A | - |
| Gain YTD | 38.608 | -21.491 | -180% |
| P/E Ratio | 16.36 | 17.67 | 93% |
| Revenue | 21.4B | 101M | 21,188% |
| Total Cash | N/A | N/A | - |
| Total Debt | 232B | 18.5M | 1,254,054% |
ANZGY | ||
|---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 54 Fair valued | |
PROFIT vs RISK RATING 1..100 | 14 | |
SMR RATING 1..100 | 4 | |
PRICE GROWTH RATING 1..100 | 44 | |
P/E GROWTH RATING 1..100 | 30 | |
SEASONALITY SCORE 1..100 | 43 |
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.
| ANZGY | CABPF | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 62% | 5 days ago 33% |
| Stochastic ODDS (%) | 3 days ago 57% | 3 days ago 50% |
| Momentum ODDS (%) | 3 days ago 71% | 3 days ago 60% |
| MACD ODDS (%) | 3 days ago 71% | 3 days ago 40% |
| TrendWeek ODDS (%) | 3 days ago 66% | 3 days ago 42% |
| TrendMonth ODDS (%) | 3 days ago 63% | 3 days ago 42% |
| Advances ODDS (%) | 17 days ago 63% | N/A |
| Declines ODDS (%) | 10 days ago 54% | N/A |
| BollingerBands ODDS (%) | 3 days ago 68% | 5 days ago 33% |
| Aroon ODDS (%) | 3 days ago 66% | 3 days ago 64% |
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ANZGY and
Correlation & Price change
A.I.dvisor indicates that over the last year, ANZGY has been closely correlated with CMWAY. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if ANZGY jumps, then CMWAY could also see price increases.
| Ticker / NAME | Correlation To ANZGY | 1D Price Change % | ||
|---|---|---|---|---|
| ANZGY | 100% | -0.34% | ||
| CMWAY - ANZGY | 72% Closely correlated | +0.80% | ||
| NABZY - ANZGY | 70% Closely correlated | -0.35% | ||
| RY - ANZGY | 52% Loosely correlated | +0.33% | ||
| BMO - ANZGY | 48% Loosely correlated | +0.18% | ||
| CM - ANZGY | 48% Loosely correlated | +0.16% | ||
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CABPF and
Correlation & Price change
A.I.dvisor tells us that CABPF and WEBNF have been poorly correlated (+5% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that CABPF and WEBNF's prices will move in lockstep.
| Ticker / NAME | Correlation To CABPF | 1D Price Change % | ||
|---|---|---|---|---|
| CABPF | 100% | N/A | ||
| WEBNF - CABPF | 5% Poorly correlated | N/A | ||
| SCBFY - CABPF | 4% Poorly correlated | -2.10% | ||
| ANZGY - CABPF | 3% Poorly correlated | -0.34% | ||
| ANZGF - CABPF | 2% Poorly correlated | N/A | ||
| SVNLF - CABPF | 0% Poorly correlated | -0.08% | ||
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