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).
ETER’s FA Score shows that 1 FA rating(s) are green whileIPXXU’s FA Score has 0 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.
ETER’s TA Score shows that 4 TA indicator(s) are bullish while IPXXU’s TA Score has 2 bullish TA indicator(s).
ETER (@Financial Conglomerates) experienced а -15.00% price change this week, while IPXXU (@Financial Conglomerates) price change was -1.11% for the same time period.
The average weekly price growth across all stocks in the @Financial Conglomerates industry was -0.78%. For the same industry, the average monthly price growth was +5.02%, and the average quarterly price growth was +29.23%.
Financial conglomerates usually encompass a wide range of financial services including (not necessarily limited to) investment banking, insurance, capital raising/underwriting, trading of financial securities, investment advisory services, wealth management of high net-worth individuals, and retail banking. Think Citigroup, American Express Company, ING Group.
ETER | IPXXU | ETER / IPXXU | |
Capitalization | 203 | N/A | - |
EBITDA | N/A | N/A | - |
Gain YTD | -6.276 | 28.737 | -22% |
P/E Ratio | N/A | N/A | - |
Revenue | N/A | N/A | - |
Total Cash | N/A | 338K | - |
Total Debt | N/A | 452 | - |
ETER | ||
---|---|---|
OUTLOOK RATING 1..100 | 89 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 33 Fair valued | |
PROFIT vs RISK RATING 1..100 | 89 | |
SMR RATING 1..100 | 100 | |
PRICE GROWTH RATING 1..100 | 54 | |
P/E GROWTH RATING 1..100 | 100 | |
SEASONALITY SCORE 1..100 | 50 |
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.
ETER | IPXXU | |
---|---|---|
RSI ODDS (%) | 3 days ago71% | N/A |
Stochastic ODDS (%) | 3 days ago68% | N/A |
Momentum ODDS (%) | 3 days ago53% | N/A |
MACD ODDS (%) | 3 days ago53% | 3 days ago17% |
TrendWeek ODDS (%) | 3 days ago51% | N/A |
TrendMonth ODDS (%) | 3 days ago46% | 3 days ago18% |
Advances ODDS (%) | 18 days ago55% | 10 days ago7% |
Declines ODDS (%) | 14 days ago83% | N/A |
BollingerBands ODDS (%) | 3 days ago64% | N/A |
Aroon ODDS (%) | N/A | N/A |
A.I.dvisor tells us that ETER and IPXXU have been poorly correlated (+23% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that ETER and IPXXU's prices will move in lockstep.
Ticker / NAME | Correlation To ETER | 1D Price Change % | ||
---|---|---|---|---|
ETER | 100% | N/A | ||
IPXXU - ETER | 23% Poorly correlated | N/A | ||
IHAI - ETER | 8% Poorly correlated | N/A | ||
DHCC - ETER | 8% Poorly correlated | -0.71% | ||
FGCO - ETER | 5% Poorly correlated | -9.09% | ||
ELLH - ETER | 2% Poorly correlated | -7.07% | ||
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A.I.dvisor indicates that over the last year, IPXXU has been closely correlated with IPXX. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if IPXXU jumps, then IPXX could also see price increases.
Ticker / NAME | Correlation To IPXXU | 1D Price Change % | ||
---|---|---|---|---|
IPXXU | 100% | N/A | ||
IPXX - IPXXU | 74% Closely correlated | -12.42% | ||
MARX - IPXXU | 38% Loosely correlated | +0.30% | ||
IGTA - IPXXU | 36% Loosely correlated | -2.61% | ||
INAQU - IPXXU | 32% Poorly correlated | N/A | ||
APXI - IPXXU | 24% Poorly correlated | N/A | ||
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