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 1 FA rating(s) are green whileFUFU’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.
COIN’s TA Score shows that 6 TA indicator(s) are bullish while FUFU’s TA Score has 4 bullish TA indicator(s).
COIN (@Financial Publishing/Services) experienced а +11.87% price change this week, while FUFU (@Investment Banks/Brokers) price change was +7.87% for the same time period.
The average weekly price growth across all stocks in the @Financial Publishing/Services industry was +1.03%. For the same industry, the average monthly price growth was -0.18%, and the average quarterly price growth was +20.46%.
The average weekly price growth across all stocks in the @Investment Banks/Brokers industry was +6.13%. For the same industry, the average monthly price growth was +20.45%, and the average quarterly price growth was +98.54%.
COIN is expected to report earnings on Oct 30, 2025.
The financial publishing /services sector includes companies that provide informational products and services that are of value to investors, financial/analytics professionals and other interested readers. The products include real-time stock quotes, financial news and analyses. Think S&P Global, Inc., Moody`s Corporation, Thomson-Reuters Corp and IHS Markit Ltd. Information is critical in making financial or investment decisions, and what makes this industry’s output relevant at all times, across various economic conditions.
@Investment Banks/Brokers (+6.13% 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 | FUFU | COIN / FUFU | |
Capitalization | 99.5B | 630M | 15,794% |
EBITDA | 3.69B | 83.8M | 4,397% |
Gain YTD | 55.969 | -22.424 | -250% |
P/E Ratio | 37.31 | 13.24 | 282% |
Revenue | 7.01B | 383M | 1,830% |
Total Cash | 9.55B | 40.1M | 23,808% |
Total Debt | 4.41B | 40M | 11,025% |
COIN | FUFU | |
---|---|---|
RSI ODDS (%) | 1 day ago80% | N/A |
Stochastic ODDS (%) | 1 day ago77% | 2 days ago88% |
Momentum ODDS (%) | 1 day ago86% | 2 days ago87% |
MACD ODDS (%) | 1 day ago88% | 2 days ago71% |
TrendWeek ODDS (%) | 1 day ago83% | 2 days ago86% |
TrendMonth ODDS (%) | 1 day ago83% | 2 days ago90% |
Advances ODDS (%) | 3 days ago85% | 9 days ago90% |
Declines ODDS (%) | 16 days ago85% | 20 days ago85% |
BollingerBands ODDS (%) | 1 day ago74% | 2 days ago90% |
Aroon ODDS (%) | 1 day ago78% | N/A |
1 Day | |||
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A.I.dvisor indicates that over the last year, FUFU has been loosely correlated with HUT. These tickers have moved in lockstep 47% of the time. This A.I.-generated data suggests there is some statistical probability that if FUFU jumps, then HUT could also see price increases.
Ticker / NAME | Correlation To FUFU | 1D Price Change % | ||
---|---|---|---|---|
FUFU | 100% | +0.26% | ||
HUT - FUFU | 47% Loosely correlated | +6.88% | ||
COIN - FUFU | 46% Loosely correlated | +3.06% | ||
HIVE - FUFU | 45% Loosely correlated | +5.48% | ||
BITF - FUFU | 44% Loosely correlated | +15.27% | ||
BTBT - FUFU | 43% Loosely correlated | +8.02% | ||
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