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OGIG vs SHOP
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 OGIG is a Hold and SHOP is a Buy.
SHOP | ||
|---|---|---|
OUTLOOK RATING 1..100 | 81 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 50 Fair valued | |
PROFIT vs RISK RATING 1..100 | 84 | |
SMR RATING 1..100 | 100 | |
PRICE GROWTH RATING 1..100 | 41 | |
P/E GROWTH RATING 1..100 | 16 | |
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.
| OGIG | SHOP | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 79% | 1 day ago 86% |
| Stochastic ODDS (%) | 1 day ago 82% | 1 day ago 78% |
| Momentum ODDS (%) | 1 day ago 89% | 1 day ago 78% |
| MACD ODDS (%) | 1 day ago 85% | 1 day ago 73% |
| TrendWeek ODDS (%) | 1 day ago 84% | 1 day ago 76% |
| TrendMonth ODDS (%) | 1 day ago 85% | 1 day ago 80% |
| Advances ODDS (%) | 9 days ago 88% | 9 days ago 81% |
| Declines ODDS (%) | 7 days ago 84% | 5 days ago 77% |
| BollingerBands ODDS (%) | 6 days ago 78% | 1 day ago 80% |
| Aroon ODDS (%) | 1 day ago 84% | 1 day ago 84% |
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OGIG and
Correlation & Price change
A.I.dvisor indicates that over the last year, OGIG has been closely correlated with META. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if OGIG jumps, then META could also see price increases.
| Ticker / NAME | Correlation To OGIG | 1D Price Change % | ||
|---|---|---|---|---|
| OGIG | 100% | +2.22% | ||
| META - OGIG | 77% Closely correlated | +3.51% | ||
| HUBS - OGIG | 76% Closely correlated | -3.36% | ||
| CRWD - OGIG | 75% Closely correlated | +1.84% | ||
| SHOP - OGIG | 75% Closely correlated | +5.57% | ||
| NET - OGIG | 74% Closely correlated | +4.34% | ||
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SHOP and
Correlation & Price change
A.I.dvisor indicates that over the last year, SHOP has been closely correlated with COIN. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if SHOP jumps, then COIN could also see price increases.
| Ticker / NAME | Correlation To SHOP | 1D Price Change % | ||
|---|---|---|---|---|
| SHOP | 100% | +5.57% | ||
| COIN - SHOP | 67% Closely correlated | +1.11% | ||
| ALIT - SHOP | 66% Loosely correlated | +0.59% | ||
| FTNT - SHOP | 66% Loosely correlated | +1.22% | ||
| HUBS - SHOP | 65% Loosely correlated | -3.36% | ||
| CLSK - SHOP | 64% Loosely correlated | -6.60% | ||
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