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GFI vs PIE
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 GFI is a StrongBuy and PIE is a StrongBuy.
GFI | ||
|---|---|---|
OUTLOOK RATING 1..100 | 65 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 5 Undervalued | |
PROFIT vs RISK RATING 1..100 | 41 | |
SMR RATING 1..100 | 24 | |
PRICE GROWTH RATING 1..100 | 56 | |
P/E GROWTH RATING 1..100 | 96 | |
SEASONALITY SCORE 1..100 | 50 |
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.
| GFI | PIE | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 83% | N/A |
| Stochastic ODDS (%) | 2 days ago 83% | 2 days ago 79% |
| Momentum ODDS (%) | 2 days ago 65% | 2 days ago 81% |
| MACD ODDS (%) | 2 days ago 64% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 75% | 2 days ago 85% |
| TrendMonth ODDS (%) | 2 days ago 69% | 2 days ago 82% |
| Advances ODDS (%) | 24 days ago 81% | 2 days ago 87% |
| Declines ODDS (%) | 3 days ago 75% | 4 days ago 83% |
| BollingerBands ODDS (%) | 4 days ago 69% | 2 days ago 79% |
| Aroon ODDS (%) | 2 days ago 84% | 2 days ago 82% |
Long-Term Analysis
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 overvalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
GFI’s FA Score shows that 2 FA rating(s) are green while .
- GFI’s FA Score: 2 green, 3 red.
Short-Term Analysis
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.
GFI’s TA Score shows that 4 TA indicator(s) are bullish.
- GFI’s TA Score: 4 bullish, 5 bearish.
Price Growth
GFI (@Precious Metals) experienced а -5.01% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Precious Metals industry was -2.50%. For the same industry, the average monthly price growth was -8.36%, and the average quarterly price growth was +12.18%.
Reported Earning Dates
GFI is expected to report earnings on Nov 05, 2026.
Industries' Descriptions
@Precious Metals (-2.50% weekly)The Precious Metals industry is engaged in exploring/mining metals that are considered to be rare and/or have a high economic value. Popular precious metals include gold, platinum and silver - all three of which are largely used in jewelry, art and coinage alongwith having some industrial uses as well. Precious metals used in industrial processes include iridium, (used in specialty alloys), and palladium ( used in electronics and chemical applications). Historically, precious metals have traded at much higher prices than common industrial metals. Newmont Goldcorp Corp, Barrick Gold Corp and Freeport-McMoRan are few of the major precious metals producing companies in the U.S.
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GFI and
Correlation & Price change
A.I.dvisor indicates that over the last year, GFI has been closely correlated with AU. These tickers have moved in lockstep 91% of the time. This A.I.-generated data suggests there is a high statistical probability that if GFI jumps, then AU could also see price increases.
PIE and
Correlation & Price change
A.I.dvisor indicates that over the last year, PIE has been loosely correlated with CX. These tickers have moved in lockstep 53% of the time. This A.I.-generated data suggests there is some statistical probability that if PIE jumps, then CX could also see price increases.