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).
APRAF’s FA Score shows that 0 FA rating(s) are green whileNSUPF’s FA Score has 0 green FA rating(s).
APRAF (@Precious Metals) experienced а -1.37% price change this week, while NSUPF (@Precious Metals) price change was -10.58% for the same time period.
The average weekly price growth across all stocks in the @Precious Metals industry was -5.47%. For the same industry, the average monthly price growth was -2.47%, and the average quarterly price growth was -1.52%.
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.
APRAF | NSUPF | APRAF / NSUPF | |
Capitalization | 7.16M | 41.5M | 17% |
EBITDA | -448.22K | -512.8K | 87% |
Gain YTD | -31.235 | -0.639 | 4,889% |
P/E Ratio | 5.58 | 21.46 | 26% |
Revenue | 0 | 0 | - |
Total Cash | 1.14M | 3.74M | 31% |
Total Debt | N/A | 73.4K | - |
APRAF | NSUPF | ||
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OUTLOOK RATING 1..100 | 73 | 75 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 62 Fair valued | 95 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 70 | |
SMR RATING 1..100 | 90 | 90 | |
PRICE GROWTH RATING 1..100 | 65 | 55 | |
P/E GROWTH RATING 1..100 | 95 | 100 | |
SEASONALITY SCORE 1..100 | n/a | 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.
APRAF's Valuation (62) in the null industry is somewhat better than the same rating for NSUPF (95). This means that APRAF’s stock grew somewhat faster than NSUPF’s over the last 12 months.
NSUPF's Profit vs Risk Rating (70) in the null industry is in the same range as APRAF (100). This means that NSUPF’s stock grew similarly to APRAF’s over the last 12 months.
NSUPF's SMR Rating (90) in the null industry is in the same range as APRAF (90). This means that NSUPF’s stock grew similarly to APRAF’s over the last 12 months.
NSUPF's Price Growth Rating (55) in the null industry is in the same range as APRAF (65). This means that NSUPF’s stock grew similarly to APRAF’s over the last 12 months.
APRAF's P/E Growth Rating (95) in the null industry is in the same range as NSUPF (100). This means that APRAF’s stock grew similarly to NSUPF’s over the last 12 months.
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A.I.dvisor tells us that APRAF and NSUPF have been poorly correlated (+30% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that APRAF and NSUPF's prices will move in lockstep.
Ticker / NAME | Correlation To APRAF | 1D Price Change % | ||
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APRAF | 100% | -1.91% | ||
NSUPF - APRAF | 30% Poorly correlated | -1.81% | ||
BYAGF - APRAF | 30% Poorly correlated | -3.33% | ||
PMDRF - APRAF | 29% Poorly correlated | N/A | ||
CNL - APRAF | 26% Poorly correlated | N/A | ||
GSMGF - APRAF | 26% Poorly correlated | N/A | ||
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A.I.dvisor indicates that over the last year, NSUPF has been loosely correlated with STLRF. These tickers have moved in lockstep 36% of the time. This A.I.-generated data suggests there is some statistical probability that if NSUPF jumps, then STLRF could also see price increases.
Ticker / NAME | Correlation To NSUPF | 1D Price Change % | ||
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NSUPF | 100% | -1.81% | ||
STLRF - NSUPF | 36% Loosely correlated | -2.55% | ||
CGLCF - NSUPF | 35% Loosely correlated | +5.69% | ||
SSVRF - NSUPF | 34% Loosely correlated | +4.09% | ||
AYASF - NSUPF | 33% Poorly correlated | -21.50% | ||
VITFF - NSUPF | 32% Poorly correlated | N/A | ||
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