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AFRM vs IPAY
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is AFRM is a StrongBuy and IPAY is a Hold.
Long-Term Analysis
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.
- AFRM’s FA Score: 0 green, 5 red.
Short-Term Analysis
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 2 TA indicator(s) are bullish.
- AFRM’s TA Score: 2 bullish, 8 bearish.
Price Growth
AFRM (@Computer Communications) experienced а -1.58% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Computer Communications industry was +2.08%. For the same industry, the average monthly price growth was +10.34%, and the average quarterly price growth was +78.03%.
Reported Earning Dates
AFRM is expected to report earnings on Nov 05, 2025.
Industries' Descriptions
@Computer Communications (+2.08% weekly)Computer communications industry develops technology that allows computing devices to exchange data with each other using connections/data links between nodes. Common types of computer network include Cloud (IAN), Internet, Wide (WAN, Local (LAN)/Wireless(WLAN) etc. The industry is an ever-more important part of technology, and is set to become even bigger as the Internet of Things (IoT) rapidly forays into the various aspects of our lives. Cisco Systems, Inc., Palo Alto Networks, Inc. and Arista Networks, Inc., Fortinet, Inc. are some of the major computer communications companies.
| AFRM | IPAY | |
|---|---|---|
| RSI ODDS (%) | 5 days ago 84% | N/A |
| Stochastic ODDS (%) | 4 days ago 90% | 4 days ago 83% |
| Momentum ODDS (%) | 4 days ago 86% | 4 days ago 85% |
| MACD ODDS (%) | 4 days ago 77% | 4 days ago 84% |
| TrendWeek ODDS (%) | 4 days ago 84% | 4 days ago 83% |
| TrendMonth ODDS (%) | 4 days ago 87% | 4 days ago 83% |
| Advances ODDS (%) | 5 days ago 85% | 4 days ago 82% |
| Declines ODDS (%) | 11 days ago 86% | 12 days ago 86% |
| BollingerBands ODDS (%) | 4 days ago 82% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 90% | 4 days ago 85% |
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AFRM and
Correlation & Price change
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% | -3.36% | ||
| COIN - AFRM | 81% Closely correlated | +2.14% | ||
| CLSK - AFRM | 71% Closely correlated | +5.28% | ||
| RIOT - AFRM | 70% Closely correlated | +0.99% | ||
| COMP - AFRM | 61% Loosely correlated | +3.71% | ||
| HOOD - AFRM | 60% Loosely correlated | +2.04% | ||
More | ||||
IPAY and
Correlation & Price change
A.I.dvisor indicates that over the last year, IPAY has been closely correlated with AXP. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if IPAY jumps, then AXP could also see price increases.
| Ticker / NAME | Correlation To IPAY | 1D Price Change % | ||
|---|---|---|---|---|
| IPAY | 100% | +0.28% | ||
| AXP - IPAY | 77% Closely correlated | -0.07% | ||
| CPAY - IPAY | 73% Closely correlated | +0.47% | ||
| AFRM - IPAY | 68% Closely correlated | -3.36% | ||
| PYPL - IPAY | 68% Closely correlated | +0.46% | ||
| XYZ - IPAY | 66% Closely correlated | +0.18% | ||
More | ||||