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).
IAUFF’s FA Score shows that 0 FA rating(s) are green whileIEGCF’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.
IAUFF’s TA Score shows that 4 TA indicator(s) are bullish while IEGCF’s TA Score has 3 bullish TA indicator(s).
IAUFF (@Precious Metals) experienced а 0.00% price change this week, while IEGCF (@Precious Metals) price change was -14.85% for the same time period.
The average weekly price growth across all stocks in the @Precious Metals industry was -4.39%. For the same industry, the average monthly price growth was -3.35%, and the average quarterly price growth was +2.96%.
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.
IAUFF | IEGCF | IAUFF / IEGCF | |
Capitalization | 104M | 29.4M | 354% |
EBITDA | 6.17M | -2.36M | -261% |
Gain YTD | 16.166 | -21.678 | -75% |
P/E Ratio | 17.95 | N/A | - |
Revenue | 25M | 0 | - |
Total Cash | 30.2M | 462K | 6,537% |
Total Debt | N/A | 473K | - |
IAUFF | IEGCF | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 31 | 59 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 68 Overvalued | 65 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | 36 | |
SMR RATING 1..100 | 88 | 98 | |
PRICE GROWTH RATING 1..100 | 60 | 59 | |
P/E GROWTH RATING 1..100 | 96 | 100 | |
SEASONALITY SCORE 1..100 | 50 | 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.
IEGCF's Valuation (65) in the null industry is in the same range as IAUFF (68). This means that IEGCF’s stock grew similarly to IAUFF’s over the last 12 months.
IEGCF's Profit vs Risk Rating (36) in the null industry is somewhat better than the same rating for IAUFF (100). This means that IEGCF’s stock grew somewhat faster than IAUFF’s over the last 12 months.
IAUFF's SMR Rating (88) in the null industry is in the same range as IEGCF (98). This means that IAUFF’s stock grew similarly to IEGCF’s over the last 12 months.
IEGCF's Price Growth Rating (59) in the null industry is in the same range as IAUFF (60). This means that IEGCF’s stock grew similarly to IAUFF’s over the last 12 months.
IAUFF's P/E Growth Rating (96) in the null industry is in the same range as IEGCF (100). This means that IAUFF’s stock grew similarly to IEGCF’s over the last 12 months.
IAUFF | IEGCF | |
---|---|---|
RSI ODDS (%) | 1 day ago42% | N/A |
Stochastic ODDS (%) | 1 day ago57% | 1 day ago82% |
Momentum ODDS (%) | 1 day ago51% | 1 day ago88% |
MACD ODDS (%) | 1 day ago59% | 1 day ago88% |
TrendWeek ODDS (%) | 1 day ago53% | 1 day ago82% |
TrendMonth ODDS (%) | 1 day ago48% | 1 day ago77% |
Advances ODDS (%) | N/A | 10 days ago85% |
Declines ODDS (%) | N/A | 1 day ago86% |
BollingerBands ODDS (%) | 1 day ago41% | 1 day ago90% |
Aroon ODDS (%) | 1 day ago50% | N/A |
A.I.dvisor tells us that IAUFF and PUMXF have been poorly correlated (+20% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that IAUFF and PUMXF's prices will move in lockstep.
Ticker / NAME | Correlation To IAUFF | 1D Price Change % | ||
---|---|---|---|---|
IAUFF | 100% | N/A | ||
PUMXF - IAUFF | 20% Poorly correlated | N/A | ||
HWTHF - IAUFF | 13% Poorly correlated | N/A | ||
IEGCF - IAUFF | 7% Poorly correlated | -5.18% | ||
HVGDF - IAUFF | 6% Poorly correlated | N/A | ||
IMPUY - IAUFF | 4% Poorly correlated | -7.89% | ||
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A.I.dvisor indicates that over the last year, IEGCF has been loosely correlated with HL. These tickers have moved in lockstep 38% of the time. This A.I.-generated data suggests there is some statistical probability that if IEGCF jumps, then HL could also see price increases.
Ticker / NAME | Correlation To IEGCF | 1D Price Change % | ||
---|---|---|---|---|
IEGCF | 100% | -5.18% | ||
HL - IEGCF | 38% Loosely correlated | -6.00% | ||
ASM - IEGCF | 38% Loosely correlated | -7.63% | ||
OCGSF - IEGCF | 37% Loosely correlated | -10.70% | ||
AG - IEGCF | 35% Loosely correlated | -6.30% | ||
GLGDF - IEGCF | 35% Loosely correlated | -5.39% | ||
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