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AUGG vs NG
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 AUGG is a Buy and NG is a Hold.
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 undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
AUGG’s FA Score shows that 0 FA rating(s) are green whileNG’s FA Score has 0 green FA rating(s).
- AUGG’s FA Score: 0 green, 5 red.
- NG’s FA Score: 0 green, 5 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.
AUGG’s TA Score shows that 4 TA indicator(s) are bullish while NG’s TA Score has 6 bullish TA indicator(s).
- AUGG’s TA Score: 4 bullish, 4 bearish.
- NG’s TA Score: 6 bullish, 4 bearish.
Price Growth
AUGG (@Precious Metals) experienced а 0.00% price change this week, while NG (@Precious Metals) price change was +10.33% for the same time period.
The average weekly price growth across all stocks in the @Precious Metals industry was +4.30%. For the same industry, the average monthly price growth was -8.02%, and the average quarterly price growth was +8738.91%.
Reported Earning Dates
NG is expected to report earnings on Jan 28, 2026.
Industries' Descriptions
@Precious Metals (+4.30% 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.
| AUGG | NG | AUGG / NG | |
| Capitalization | 104M | 3.52B | 3% |
| EBITDA | -3.64M | -75.29M | 5% |
| Gain YTD | 36.629 | 159.760 | 23% |
| P/E Ratio | 9.50 | N/A | - |
| Revenue | 0 | 0 | - |
| Total Cash | 1.02M | 125M | 1% |
| Total Debt | 35M | 163M | 21% |
AUGG | NG | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 30 | 69 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 71 Overvalued | 87 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 96 | 99 | |
PRICE GROWTH RATING 1..100 | 41 | 36 | |
P/E GROWTH RATING 1..100 | 52 | 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.
AUGG's Valuation (71) in the null industry is in the same range as NG (87) in the Precious Metals industry. This means that AUGG’s stock grew similarly to NG’s over the last 12 months.
AUGG's Profit vs Risk Rating (100) in the null industry is in the same range as NG (100) in the Precious Metals industry. This means that AUGG’s stock grew similarly to NG’s over the last 12 months.
AUGG's SMR Rating (96) in the null industry is in the same range as NG (99) in the Precious Metals industry. This means that AUGG’s stock grew similarly to NG’s over the last 12 months.
NG's Price Growth Rating (36) in the Precious Metals industry is in the same range as AUGG (41) in the null industry. This means that NG’s stock grew similarly to AUGG’s over the last 12 months.
AUGG's P/E Growth Rating (52) in the null industry is somewhat better than the same rating for NG (100) in the Precious Metals industry. This means that AUGG’s stock grew somewhat faster than NG’s over the last 12 months.
| AUGG | NG | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 83% |
| Stochastic ODDS (%) | 2 days ago 86% | 2 days ago 76% |
| Momentum ODDS (%) | 2 days ago 73% | 2 days ago 75% |
| MACD ODDS (%) | 2 days ago 71% | 2 days ago 70% |
| TrendWeek ODDS (%) | 2 days ago 74% | 2 days ago 76% |
| TrendMonth ODDS (%) | 2 days ago 74% | 2 days ago 78% |
| Advances ODDS (%) | N/A | 5 days ago 77% |
| Declines ODDS (%) | 23 days ago 90% | 11 days ago 76% |
| BollingerBands ODDS (%) | 2 days ago 86% | 2 days ago 67% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 75% |
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AUGG and
Correlation & Price change
A.I.dvisor tells us that AUGG and AEM have been poorly correlated (+32% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that AUGG and AEM's prices will move in lockstep.
| Ticker / NAME | Correlation To AUGG | 1D Price Change % | ||
|---|---|---|---|---|
| AUGG | 100% | N/A | ||
| AEM - AUGG | 32% Poorly correlated | -2.44% | ||
| SAND - AUGG | 30% Poorly correlated | N/A | ||
| NG - AUGG | 29% Poorly correlated | -0.92% | ||
| PAAS - AUGG | 26% Poorly correlated | +1.77% | ||
| KGC - AUGG | 26% Poorly correlated | -2.00% | ||
More | ||||
NG and
Correlation & Price change
A.I.dvisor indicates that over the last year, NG has been loosely correlated with CDE. These tickers have moved in lockstep 65% of the time. This A.I.-generated data suggests there is some statistical probability that if NG jumps, then CDE could also see price increases.