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).
BITF’s FA Score shows that 0 FA rating(s) are green whileCLSK’s FA Score has 0 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.
BITF’s TA Score shows that 2 TA indicator(s) are bullish.
BITF (@Investment Banks/Brokers) experienced а -18.36% price change this week, while CLSK (@Investment Banks/Brokers) price change was -13.75% for the same time period.
The average weekly price growth across all stocks in the @Investment Banks/Brokers industry was +0.90%. For the same industry, the average monthly price growth was +0.09%, and the average quarterly price growth was +37.53%.
BITF is expected to report earnings on Mar 19, 2025.
CLSK is expected to report earnings on Feb 06, 2025.
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.
BITF | CLSK | BITF / CLSK | |
Capitalization | 743M | 4.78B | 16% |
EBITDA | -7.73M | 60.4M | -13% |
Gain YTD | -41.924 | -3.354 | 1,250% |
P/E Ratio | 10.38 | N/A | - |
Revenue | 146M | 216M | 68% |
Total Cash | 116M | 176M | 66% |
Total Debt | 19.9M | 15.2M | 131% |
CLSK | ||
---|---|---|
OUTLOOK RATING 1..100 | 59 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 70 Overvalued | |
PROFIT vs RISK RATING 1..100 | 85 | |
SMR RATING 1..100 | 93 | |
PRICE GROWTH RATING 1..100 | 64 | |
P/E GROWTH RATING 1..100 | 86 | |
SEASONALITY SCORE 1..100 | n/a |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
BITF | |
---|---|
RSI ODDS (%) | N/A |
Stochastic ODDS (%) | 3 days ago85% |
Momentum ODDS (%) | 3 days ago87% |
MACD ODDS (%) | 3 days ago90% |
TrendWeek ODDS (%) | 3 days ago89% |
TrendMonth ODDS (%) | 3 days ago90% |
Advances ODDS (%) | N/A |
Declines ODDS (%) | 4 days ago90% |
BollingerBands ODDS (%) | 3 days ago84% |
Aroon ODDS (%) | 3 days ago89% |
A.I.dvisor indicates that over the last year, BITF has been closely correlated with HIVE. These tickers have moved in lockstep 83% of the time. This A.I.-generated data suggests there is a high statistical probability that if BITF jumps, then HIVE could also see price increases.
Ticker / NAME | Correlation To BITF | 1D Price Change % | ||
---|---|---|---|---|
BITF | 100% | +6.29% | ||
HIVE - BITF | 83% Closely correlated | +5.39% | ||
RIOT - BITF | 80% Closely correlated | +8.06% | ||
CLSK - BITF | 80% Closely correlated | +3.90% | ||
MARA - BITF | 76% Closely correlated | +4.68% | ||
BTBT - BITF | 75% Closely correlated | +4.72% | ||
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A.I.dvisor indicates that over the last year, CLSK has been closely correlated with RIOT. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if CLSK jumps, then RIOT could also see price increases.
Ticker / NAME | Correlation To CLSK | 1D Price Change % | ||
---|---|---|---|---|
CLSK | 100% | +3.90% | ||
RIOT - CLSK | 84% Closely correlated | +8.06% | ||
MARA - CLSK | 81% Closely correlated | +4.68% | ||
BITF - CLSK | 80% Closely correlated | +6.29% | ||
HIVE - CLSK | 77% Closely correlated | +5.39% | ||
CIFR - CLSK | 74% Closely correlated | +5.57% | ||
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