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).
BLYQ’s FA Score shows that 1 FA rating(s) are green whileHAIUF’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.
BLYQ’s TA Score shows that 2 TA indicator(s) are bullish while HAIUF’s TA Score has 4 bullish TA indicator(s).
BLYQ (@Financial Conglomerates) experienced а 0.00% price change this week, while HAIUF (@Financial Conglomerates) price change was -8.61% for the same time period.
The average weekly price growth across all stocks in the @Financial Conglomerates industry was -0.82%. For the same industry, the average monthly price growth was +4.70%, and the average quarterly price growth was +30.21%.
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.
BLYQ | HAIUF | BLYQ / HAIUF | |
Capitalization | 17.1M | N/A | - |
EBITDA | -43.83K | -1.24M | 4% |
Gain YTD | -87.129 | -3.489 | 2,497% |
P/E Ratio | N/A | N/A | - |
Revenue | 0 | 0 | - |
Total Cash | 0 | 212 | - |
Total Debt | 136K | 216K | 63% |
BLYQ | ||
---|---|---|
OUTLOOK RATING 1..100 | 24 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 13 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 100 | |
PRICE GROWTH RATING 1..100 | 39 | |
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.
BLYQ | HAIUF | |
---|---|---|
RSI ODDS (%) | 2 days ago54% | 2 days ago14% |
Stochastic ODDS (%) | 2 days ago69% | 2 days ago8% |
Momentum ODDS (%) | N/A | 2 days ago8% |
MACD ODDS (%) | N/A | 2 days ago8% |
TrendWeek ODDS (%) | 2 days ago29% | 2 days ago6% |
TrendMonth ODDS (%) | 2 days ago29% | N/A |
Advances ODDS (%) | N/A | N/A |
Declines ODDS (%) | N/A | N/A |
BollingerBands ODDS (%) | N/A | 2 days ago10% |
Aroon ODDS (%) | N/A | 2 days ago44% |
A.I.dvisor tells us that BLYQ and IHAI have been poorly correlated (+26% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that BLYQ and IHAI's prices will move in lockstep.
Ticker / NAME | Correlation To BLYQ | 1D Price Change % | ||
---|---|---|---|---|
BLYQ | 100% | N/A | ||
IHAI - BLYQ | 26% Poorly correlated | -18.75% | ||
PPYAU - BLYQ | 24% Poorly correlated | N/A | ||
HAIUF - BLYQ | 24% Poorly correlated | N/A | ||
BCII - BLYQ | 6% Poorly correlated | -13.58% | ||
ELLH - BLYQ | 5% Poorly correlated | N/A | ||
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A.I.dvisor indicates that over the last year, HAIUF has been loosely correlated with LNZA. These tickers have moved in lockstep 53% of the time. This A.I.-generated data suggests there is some statistical probability that if HAIUF jumps, then LNZA could also see price increases.
Ticker / NAME | Correlation To HAIUF | 1D Price Change % | ||
---|---|---|---|---|
HAIUF | 100% | N/A | ||
LNZA - HAIUF | 53% Loosely correlated | -8.86% | ||
DPCSU - HAIUF | 48% Loosely correlated | N/A | ||
PRLHU - HAIUF | 44% Loosely correlated | N/A | ||
IVCA - HAIUF | 41% Loosely correlated | N/A | ||
OAKUU - HAIUF | 35% Loosely correlated | N/A | ||
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