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BLOK vs HIVE
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 BLOK is a StrongBuy and HIVE is a Hold.
HIVE | ||
|---|---|---|
OUTLOOK RATING 1..100 | 79 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 74 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 77 | |
PRICE GROWTH RATING 1..100 | 65 | |
P/E GROWTH RATING 1..100 | 17 | |
SEASONALITY SCORE 1..100 | 75 |
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.
| BLOK | HIVE | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 85% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 89% | 1 day ago 88% |
| MACD ODDS (%) | 1 day ago 87% | 1 day ago 84% |
| TrendWeek ODDS (%) | 1 day ago 88% | 1 day ago 88% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 88% |
| Advances ODDS (%) | 9 days ago 90% | 24 days ago 86% |
| Declines ODDS (%) | 1 day ago 89% | 8 days ago 89% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 88% |
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BLOK and
Correlation & Price change
A.I.dvisor indicates that over the last year, BLOK 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 BLOK jumps, then RIOT could also see price increases.
| Ticker / NAME | Correlation To BLOK | 1D Price Change % | ||
|---|---|---|---|---|
| BLOK | 100% | -4.49% | ||
| RIOT - BLOK | 84% Closely correlated | -7.82% | ||
| HOOD - BLOK | 82% Closely correlated | -7.41% | ||
| HUT - BLOK | 81% Closely correlated | -8.22% | ||
| MSTR - BLOK | 80% Closely correlated | -3.13% | ||
| HIVE - BLOK | 80% Closely correlated | -7.10% | ||
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HIVE and
Correlation & Price change
A.I.dvisor indicates that over the last year, HIVE has been closely correlated with BITF. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if HIVE jumps, then BITF could also see price increases.
| Ticker / NAME | Correlation To HIVE | 1D Price Change % | ||
|---|---|---|---|---|
| HIVE | 100% | -7.10% | ||
| BITF - HIVE | 84% Closely correlated | -11.74% | ||
| COIN - HIVE | 73% Closely correlated | -6.14% | ||
| HOOD - HIVE | 72% Closely correlated | -7.41% | ||
| CLSK - HIVE | 72% Closely correlated | -10.04% | ||
| RIOT - HIVE | 70% Closely correlated | -7.82% | ||
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