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).
AFRM’s FA Score shows that 0 FA rating(s) are green while.
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.
AFRM’s TA Score shows that 4 TA indicator(s) are bullish.
AFRM (@Packaged Software) experienced а +9.06% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Packaged Software industry was -1.60%. For the same industry, the average monthly price growth was +1.63%, and the average quarterly price growth was +2.54%.
AFRM is expected to report earnings on Feb 06, 2025.
Packaged software comprises multiple software programs bundled together and sold as a group. For example, Microsoft Office includes multiple applications such as Excel, Word, and PowerPoint. In some cases, buying a bundled product is cheaper than purchasing each item individually[s20] . Microsoft Corporation, Oracle Corp. and Adobe are some major American packaged software makers.
AFRM | |
---|---|
RSI ODDS (%) | 2 days ago85% |
Stochastic ODDS (%) | 2 days ago77% |
Momentum ODDS (%) | 2 days ago87% |
MACD ODDS (%) | 2 days ago90% |
TrendWeek ODDS (%) | 2 days ago86% |
TrendMonth ODDS (%) | 2 days ago87% |
Advances ODDS (%) | 4 days ago84% |
Declines ODDS (%) | 2 days ago88% |
BollingerBands ODDS (%) | 2 days ago84% |
Aroon ODDS (%) | 2 days ago85% |
A.I.dvisor indicates that over the last year, AFRM has been loosely correlated with SQ. These tickers have moved in lockstep 56% of the time. This A.I.-generated data suggests there is some statistical probability that if AFRM jumps, then SQ could also see price increases.
Ticker / NAME | Correlation To AFRM | 1D Price Change % | ||
---|---|---|---|---|
AFRM | 100% | -2.94% | ||
SQ - AFRM | 56% Loosely correlated | -2.80% | ||
PGY - AFRM | 47% Loosely correlated | -6.97% | ||
EVCM - AFRM | 46% Loosely correlated | -0.63% | ||
SSNC - AFRM | 43% Loosely correlated | -0.83% | ||
BILL - AFRM | 42% Loosely correlated | -3.67% | ||
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A.I.dvisor indicates that over the last year, JCTR has been loosely correlated with FERG. These tickers have moved in lockstep 54% of the time. This A.I.-generated data suggests there is some statistical probability that if JCTR jumps, then FERG could also see price increases.
Ticker / NAME | Correlation To JCTR | 1D Price Change % | ||
---|---|---|---|---|
JCTR | 100% | N/A | ||
FERG - JCTR | 54% Loosely correlated | -1.11% | ||
HOOD - JCTR | 34% Loosely correlated | +0.97% | ||
AFRM - JCTR | 24% Poorly correlated | -2.94% | ||
CFLT - JCTR | 22% Poorly correlated | -1.62% | ||
WU - JCTR | 17% Poorly correlated | -0.47% | ||
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