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).
AACI’s FA Score shows that 0 FA rating(s) are green whileDYCQU’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.
AACI’s TA Score shows that 3 TA indicator(s) are bullish while DYCQU’s TA Score has 1 bullish TA indicator(s).
AACI (@Financial Conglomerates) experienced а +0.39% price change this week, while DYCQU (@Financial Conglomerates) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Financial Conglomerates industry was +0.56%. For the same industry, the average monthly price growth was +0.19%, and the average quarterly price growth was +16.98%.
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.
AACI | DYCQU | AACI / DYCQU | |
Capitalization | 325M | N/A | - |
EBITDA | N/A | -910.83K | - |
Gain YTD | 5.641 | 5.513 | 102% |
P/E Ratio | N/A | N/A | - |
Revenue | N/A | 0 | - |
Total Cash | 480K | 0 | - |
Total Debt | N/A | 546K | - |
AACI | DYCQU | |
---|---|---|
RSI ODDS (%) | 1 day ago7% | N/A |
Stochastic ODDS (%) | 1 day ago22% | N/A |
Momentum ODDS (%) | 1 day ago23% | N/A |
MACD ODDS (%) | 1 day ago11% | N/A |
TrendWeek ODDS (%) | 1 day ago44% | 1 day ago5% |
TrendMonth ODDS (%) | 1 day ago42% | 1 day ago7% |
Advances ODDS (%) | 1 day ago31% | N/A |
Declines ODDS (%) | N/A | N/A |
BollingerBands ODDS (%) | 1 day ago13% | N/A |
Aroon ODDS (%) | N/A | 1 day ago10% |
A.I.dvisor indicates that over the last year, AACI has been loosely correlated with GRAF. These tickers have moved in lockstep 37% of the time. This A.I.-generated data suggests there is some statistical probability that if AACI jumps, then GRAF could also see price increases.
Ticker / NAME | Correlation To AACI | 1D Price Change % | ||
---|---|---|---|---|
AACI | 100% | +0.10% | ||
GRAF - AACI | 37% Loosely correlated | +0.19% | ||
TRTLF - AACI | 32% Poorly correlated | N/A | ||
AACIU - AACI | 30% Poorly correlated | N/A | ||
HAIUF - AACI | 29% Poorly correlated | N/A | ||
ASUUF - AACI | 29% Poorly correlated | N/A | ||
More |
A.I.dvisor indicates that over the last year, DYCQU has been loosely correlated with DTSQU. These tickers have moved in lockstep 34% of the time. This A.I.-generated data suggests there is some statistical probability that if DYCQU jumps, then DTSQU could also see price increases.
Ticker / NAME | Correlation To DYCQU | 1D Price Change % | ||
---|---|---|---|---|
DYCQU | 100% | N/A | ||
DTSQU - DYCQU | 34% Loosely correlated | N/A | ||
ATMCU - DYCQU | 26% Poorly correlated | +0.08% | ||
AACI - DYCQU | 23% Poorly correlated | +0.10% | ||
OAKUU - DYCQU | 22% Poorly correlated | N/A | ||
DYCQ - DYCQU | 22% Poorly correlated | N/A | ||
More |