This comparison examines AU, CGAU, and WPM to highlight differences in business models, recent price behavior, and positioning within the precious metals sector. The analysis focuses on observable market data and company fundamentals relevant to traders and investors seeking diversified exposure to gold and related commodities. It is particularly useful for those evaluating relative performance, risk profiles, and sector exposure in a dynamic commodity environment.
AngloGold Ashanti plc (AU) is a major gold mining company with operations spanning Africa, Australia, and the Americas. The firm explores and produces gold along with by-products such as silver. In recent weeks, the stock has responded to fluctuations in gold prices and updates on production volumes from its key mines. Sentiment has been influenced by broader commodity trends and operational reports, contributing to measured price movements without extreme single-day volatility.
Centerra Gold Inc. (CGAU) engages in the operation, development, and exploration of gold and copper properties primarily in North America and Turkey. Recent market activity has reflected the company’s dual-commodity exposure, with performance tied to both gold and copper price movements. Operational developments and regional factors have shaped investor sentiment, resulting in price behavior consistent with mid-tier producers in the sector during the recent period.
Wheaton Precious Metals Corp. (WPM) operates as a precious metals streaming company, acquiring metal streams from mining partners rather than operating mines directly. This model has provided relatively stable exposure to gold and silver prices in recent weeks. Performance has been influenced by the volume of metals delivered under existing agreements and overall precious metals market conditions, maintaining a profile distinct from primary producers.
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AU and CGAU represent traditional mining operations with direct exposure to production costs, reserves, and operational risks, while WPM uses a streaming model that reduces capital expenditure and operational overhead. Growth drivers differ accordingly: miners benefit from rising metal prices and output expansion, whereas the streamer gains from increased deliveries and new agreements. Recent momentum has varied with each company’s exposure to gold price sensitivity and geographic factors. Risk considerations include higher volatility for producers versus more predictable cash flows for streamers. Valuation sensitivity to metal prices remains elevated across all three, though dividend yields and market capitalization profiles provide additional points of contrast in current market positioning.
Based on trend consistency, relative stability, and positioning within the precious metals sector, Tickeron’s AI would currently assign a higher probabilistic preference to WPM due to its streaming model’s lower operational leverage and steadier performance characteristics observed in recent market activity. AU and CGAU present compelling alternatives for investors seeking direct production exposure, with outcomes dependent on commodity price trends and company execution.
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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).
AU’s FA Score shows that 3 FA rating(s) are green whileCGAU’s FA Score has 3 green FA rating(s), and WPM’s FA Score reflects 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.
AU’s TA Score shows that 4 TA indicator(s) are bullish while CGAU’s TA Score has 5 bullish TA indicator(s), and WPM’s TA Score reflects 5 bullish TA indicator(s).
AU (@Precious Metals) experienced а +21.31% price change this week, while CGAU (@Precious Metals) price change was +23.56% , and WPM (@Precious Metals) price fluctuated +23.09% for the same time period.
The average weekly price growth across all stocks in the @Precious Metals industry was +21.46%. For the same industry, the average monthly price growth was +17.49%, and the average quarterly price growth was -15.14%.
AU is expected to report earnings on Nov 05, 2026.
CGAU is expected to report earnings on Nov 03, 2026.
WPM is expected to report earnings on Nov 05, 2026.
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.
| AU | CGAU | WPM | |
| Capitalization | 48.7B | 4.14B | 60.7B |
| EBITDA | 6.37B | 1B | 2.4B |
| Gain YTD | 16.122 | 47.808 | 14.545 |
| P/E Ratio | 12.90 | 6.79 | 29.77 |
| Revenue | 11.8B | 1.72B | 2.75B |
| Total Cash | 2.78B | 457M | 2.17B |
| Total Debt | 1.79B | 45.8M | 7.66M |
AU | CGAU | WPM | ||
|---|---|---|---|---|
OUTLOOK RATING 1..100 | 29 | 39 | 41 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 5 Undervalued | 21 Undervalued | 52 Fair valued | |
PROFIT vs RISK RATING 1..100 | 32 | 21 | 34 | |
SMR RATING 1..100 | 22 | 31 | 44 | |
PRICE GROWTH RATING 1..100 | 51 | 37 | 49 | |
P/E GROWTH RATING 1..100 | 70 | 98 | 97 | |
SEASONALITY SCORE 1..100 | n/a | 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.
AU's Valuation (5) in the Precious Metals industry is in the same range as CGAU (21) in the null industry, and is somewhat better than the same rating for WPM (52) in the Precious Metals industry. This means that AU's stock grew similarly to CGAU’s and somewhat faster than WPM’s over the last 12 months.
CGAU's Profit vs Risk Rating (21) in the null industry is in the same range as AU (32) in the Precious Metals industry, and is in the same range as WPM (34) in the Precious Metals industry. This means that CGAU's stock grew similarly to AU’s and similarly to WPM’s over the last 12 months.
AU's SMR Rating (22) in the Precious Metals industry is in the same range as CGAU (31) in the null industry, and is in the same range as WPM (44) in the Precious Metals industry. This means that AU's stock grew similarly to CGAU’s and similarly to WPM’s over the last 12 months.
CGAU's Price Growth Rating (37) in the null industry is in the same range as WPM (49) in the Precious Metals industry, and is in the same range as AU (51) in the Precious Metals industry. This means that CGAU's stock grew similarly to WPM’s and similarly to AU’s over the last 12 months.
AU's P/E Growth Rating (70) in the Precious Metals industry is in the same range as WPM (97) in the Precious Metals industry, and is in the same range as CGAU (98) in the null industry. This means that AU's stock grew similarly to WPM’s and similarly to CGAU’s over the last 12 months.
| AU | CGAU | WPM | |
|---|---|---|---|
| RSI ODDS (%) | 2 days ago 75% | 2 days ago 86% | 2 days ago 67% |
| Stochastic ODDS (%) | 2 days ago 75% | 2 days ago 71% | 2 days ago 63% |
| Momentum ODDS (%) | 2 days ago 77% | 2 days ago 78% | 2 days ago 71% |
| MACD ODDS (%) | 2 days ago 75% | 2 days ago 81% | 2 days ago 72% |
| TrendWeek ODDS (%) | 2 days ago 82% | 2 days ago 77% | 2 days ago 74% |
| TrendMonth ODDS (%) | 2 days ago 82% | 2 days ago 80% | 2 days ago 75% |
| Advances ODDS (%) | 13 days ago 82% | 2 days ago 76% | 2 days ago 75% |
| Declines ODDS (%) | 11 days ago 74% | 16 days ago 70% | 11 days ago 64% |
| BollingerBands ODDS (%) | 2 days ago 71% | 2 days ago 80% | 2 days ago 56% |
| Aroon ODDS (%) | 2 days ago 75% | 2 days ago 69% | 2 days ago 74% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| CLIX | 60.57 | 0.74 | +1.24% |
| ProShares Long Online/Short Stores ETF | |||
| FDIQ | 72.28 | 0.70 | +0.98% |
| Invesco Bloomberg Fincl Dt Prvdrs ETF | |||
| IJS | 139.19 | 1.33 | +0.96% |
| iShares S&P Small-Cap 600 Value ETF | |||
| FMUN | 49.64 | 0.12 | +0.24% |
| Fidelity Systematic Municipal Bd Idx ETF | |||
| AVSF | 46.35 | 0.05 | +0.10% |
| Avantis Short-Term Fixed Income ETF | |||
A.I.dvisor indicates that over the last year, AU has been closely correlated with GFI. These tickers have moved in lockstep 90% of the time. This A.I.-generated data suggests there is a high statistical probability that if AU jumps, then GFI could also see price increases.
A.I.dvisor indicates that over the last year, CGAU has been closely correlated with AEM. These tickers have moved in lockstep 89% of the time. This A.I.-generated data suggests there is a high statistical probability that if CGAU jumps, then AEM could also see price increases.
| Ticker / NAME | Correlation To CGAU | 1D Price Change % | ||
|---|---|---|---|---|
| CGAU | 100% | +7.22% | ||
| AEM - CGAU | 89% Closely correlated | +6.49% | ||
| KGC - CGAU | 87% Closely correlated | +7.88% | ||
| IAG - CGAU | 87% Closely correlated | +14.29% | ||
| WPM - CGAU | 87% Closely correlated | +7.10% | ||
| NEM - CGAU | 85% Closely correlated | +7.16% | ||
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