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 whileCOMP’s FA Score has 1 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.
AFRM’s TA Score shows that 3 TA indicator(s) are bullish while COMP’s TA Score has 4 bullish TA indicator(s).
AFRM (@Packaged Software) experienced а +6.89% price change this week, while COMP (@Real Estate Development) price change was -3.04% for the same time period.
The average weekly price growth across all stocks in the @Packaged Software industry was +0.88%. For the same industry, the average monthly price growth was +16.14%, and the average quarterly price growth was +18.05%.
The average weekly price growth across all stocks in the @Real Estate Development industry was -1.62%. For the same industry, the average monthly price growth was -0.19%, and the average quarterly price growth was +12.11%.
AFRM is expected to report earnings on Feb 06, 2025.
COMP is expected to report earnings on Mar 04, 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.
@Real Estate Development (-1.62% weekly)Activities range from the renovation and re-lease of existing buildings to the purchase of raw land and the sale of developed land or parcels to others. Demand for land development business is driven by GDP growth, employment rates, interest rates, and access to/cost of capital. For individual companies in this industry, proper cost estimation and successful bidding play critical roles in their profitability. Large companies could potentially have greater access to capital, while smaller companies can specialize in a specific geographic area or market niche. CBRE Group, VICI Properties Inc and Brookfield Property Partners L.P. are some of the large companies in this industry.
AFRM | COMP | AFRM / COMP | |
Capitalization | 11.4B | 1.75B | 653% |
EBITDA | -322M | -216.4M | 149% |
Gain YTD | 44.261 | 78.191 | 57% |
P/E Ratio | N/A | N/A | - |
Revenue | 1.91B | 4.89B | 39% |
Total Cash | 1.95B | 167M | 1,168% |
Total Debt | 6.24B | 534M | 1,169% |
AFRM | COMP | |
---|---|---|
RSI ODDS (%) | 1 day ago75% | 1 day ago90% |
Stochastic ODDS (%) | 1 day ago88% | 1 day ago88% |
Momentum ODDS (%) | 1 day ago86% | 1 day ago89% |
MACD ODDS (%) | 1 day ago85% | 1 day ago84% |
TrendWeek ODDS (%) | 1 day ago86% | 1 day ago87% |
TrendMonth ODDS (%) | 1 day ago87% | 1 day ago75% |
Advances ODDS (%) | 3 days ago84% | 16 days ago80% |
Declines ODDS (%) | 9 days ago87% | 6 days ago87% |
BollingerBands ODDS (%) | 7 days ago81% | 1 day ago81% |
Aroon ODDS (%) | 1 day ago86% | 1 day ago74% |
1 Day | |||
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A.I.dvisor indicates that over the last year, AFRM has been closely correlated with COIN. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if AFRM jumps, then COIN could also see price increases.
Ticker / NAME | Correlation To AFRM | 1D Price Change % | ||
---|---|---|---|---|
AFRM | 100% | -2.70% | ||
COIN - AFRM | 81% Closely correlated | -1.16% | ||
CLSK - AFRM | 71% Closely correlated | -0.96% | ||
RIOT - AFRM | 70% Closely correlated | -0.43% | ||
COMP - AFRM | 61% Loosely correlated | -2.05% | ||
HOOD - AFRM | 60% Loosely correlated | -3.63% | ||
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A.I.dvisor indicates that over the last year, COMP has been loosely correlated with MTTR. These tickers have moved in lockstep 66% of the time. This A.I.-generated data suggests there is some statistical probability that if COMP jumps, then MTTR could also see price increases.
Ticker / NAME | Correlation To COMP | 1D Price Change % | ||
---|---|---|---|---|
COMP | 100% | -2.05% | ||
MTTR - COMP | 66% Loosely correlated | -0.81% | ||
OPEN - COMP | 64% Loosely correlated | -0.52% | ||
RDFN - COMP | 63% Loosely correlated | -3.30% | ||
HOUS - COMP | 62% Loosely correlated | -1.88% | ||
COIN - COMP | 62% Loosely correlated | -1.16% | ||
More |