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FBOT vs SNPS
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 FBOT is a StrongBuy and SNPS is a Buy.
SNPS | ||
|---|---|---|
OUTLOOK RATING 1..100 | 60 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 92 Overvalued | |
PROFIT vs RISK RATING 1..100 | 27 | |
SMR RATING 1..100 | 100 | |
PRICE GROWTH RATING 1..100 | 11 | |
P/E GROWTH RATING 1..100 | 100 | |
SEASONALITY SCORE 1..100 | 85 |
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.
| FBOT | SNPS | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 88% | 1 day ago 52% |
| Stochastic ODDS (%) | 1 day ago 70% | 1 day ago 84% |
| Momentum ODDS (%) | 1 day ago 86% | 1 day ago 60% |
| MACD ODDS (%) | 1 day ago 79% | 1 day ago 50% |
| TrendWeek ODDS (%) | 1 day ago 85% | 1 day ago 77% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 52% |
| Advances ODDS (%) | 17 days ago 86% | 1 day ago 76% |
| Declines ODDS (%) | 9 days ago 75% | 4 days ago 55% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 77% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 75% |
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FBOT and
Correlation & Price change
A.I.dvisor indicates that over the last year, FBOT has been closely correlated with NVDA. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if FBOT jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To FBOT | 1D Price Change % | ||
|---|---|---|---|---|
| FBOT | 100% | +0.72% | ||
| NVDA - FBOT | 74% Closely correlated | -0.79% | ||
| CAT - FBOT | 72% Closely correlated | +0.52% | ||
| SNPS - FBOT | 70% Closely correlated | +1.49% | ||
| AMZN - FBOT | 67% Closely correlated | +1.08% | ||
| MSFT - FBOT | 66% Loosely correlated | +0.57% | ||
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SNPS and
Correlation & Price change
A.I.dvisor indicates that over the last year, SNPS has been closely correlated with CDNS. These tickers have moved in lockstep 88% of the time. This A.I.-generated data suggests there is a high statistical probability that if SNPS jumps, then CDNS could also see price increases.
| Ticker / NAME | Correlation To SNPS | 1D Price Change % | ||
|---|---|---|---|---|
| SNPS | 100% | +1.49% | ||
| CDNS - SNPS | 88% Closely correlated | +2.14% | ||
| S - SNPS | 67% Closely correlated | +2.68% | ||
| PDFS - SNPS | 66% Closely correlated | +1.04% | ||
| ROP - SNPS | 57% Loosely correlated | -0.39% | ||
| BSY - SNPS | 55% Loosely correlated | +0.40% | ||
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