COIN 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 COIN is a Hold 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).
COIN’s FA Score shows that 0 FA rating(s) are green while.
- COIN’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.
COIN’s TA Score shows that 4 TA indicator(s) are bullish.
- COIN’s TA Score: 4 bullish, 5 bearish.
Price Growth
COIN (@Investment Banks/Brokers) experienced а +0.85% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Investment Banks/Brokers industry was +2.06%. For the same industry, the average monthly price growth was -4.83%, and the average quarterly price growth was +23.06%.
Reported Earning Dates
COIN is expected to report earnings on May 07, 2025.
Industries' Descriptions
@Investment Banks/Brokers (+2.06% weekly)These banks specialize in underwriting (helping companies with debt financing or equity issuances), IPOs, facilitating mergers and other corporate reorganizations and acting as a broker or financial advisor for institutions. They might also trade securities on their own accounts. Investment banks potentially thrive on expanding its network of clients, since that could help them increase profits. Goldman Sachs, Morgan Stanley and CME Group Inc are some of the largest investment banking companies.
| COIN | IPAY | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 77% | 4 days ago 90% |
| Stochastic ODDS (%) | 4 days ago 82% | 4 days ago 86% |
| Momentum ODDS (%) | 4 days ago 87% | 4 days ago 78% |
| MACD ODDS (%) | 4 days ago 86% | 4 days ago 76% |
| TrendWeek ODDS (%) | 4 days ago 83% | 4 days ago 85% |
| TrendMonth ODDS (%) | 4 days ago 86% | 4 days ago 84% |
| Advances ODDS (%) | 6 days ago 86% | 21 days ago 84% |
| Declines ODDS (%) | 14 days ago 86% | 7 days ago 86% |
| BollingerBands ODDS (%) | 4 days ago 83% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 84% | 4 days ago 86% |
COIN and
Correlation & Price change
A.I.dvisor indicates that over the last year, COIN has been closely correlated with AFRM. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if COIN jumps, then AFRM could also see price increases.
| Ticker / NAME | Correlation To COIN | 1D Price Change % | ||
|---|---|---|---|---|
| COIN | 100% | +1.53% | ||
| AFRM - COIN | 81% Closely correlated | -1.27% | ||
| MSTR - COIN | 81% Closely correlated | -5.57% | ||
| RIOT - COIN | 76% Closely correlated | +3.14% | ||
| CLSK - COIN | 75% Closely correlated | +8.34% | ||
| U - COIN | 74% Closely correlated | +4.45% | ||
More | ||||
IPAY and
Correlation & Price change
A.I.dvisor indicates that over the last year, IPAY has been closely correlated with XYZ. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if IPAY jumps, then XYZ could also see price increases.
| Ticker / NAME | Correlation To IPAY | 1D Price Change % | ||
|---|---|---|---|---|
| IPAY | 100% | +0.50% | ||
| XYZ - IPAY | 73% Closely correlated | +0.33% | ||
| AFRM - IPAY | 68% Closely correlated | -1.27% | ||
| COIN - IPAY | 66% Closely correlated | +1.53% | ||
| PYPL - IPAY | 61% Loosely correlated | +3.53% | ||
| BFH - IPAY | 60% Loosely correlated | -1.34% | ||
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