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CMCL vs IAG
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 CMCL is a Hold and IAG is a StrongBuy.
CMCL | IAG | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 23 | 78 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 9 Undervalued | 62 Fair valued | |
PROFIT vs RISK RATING 1..100 | 60 | 30 | |
SMR RATING 1..100 | 38 | 34 | |
PRICE GROWTH RATING 1..100 | 53 | 44 | |
P/E GROWTH RATING 1..100 | 97 | 33 | |
SEASONALITY SCORE 1..100 | 50 | n/a |
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.
CMCL's Valuation (9) in the Other Metals Or Minerals industry is somewhat better than the same rating for IAG (62) in the Precious Metals industry. This means that CMCL’s stock grew somewhat faster than IAG’s over the last 12 months.
IAG's Profit vs Risk Rating (30) in the Precious Metals industry is in the same range as CMCL (60) in the Other Metals Or Minerals industry. This means that IAG’s stock grew similarly to CMCL’s over the last 12 months.
IAG's SMR Rating (34) in the Precious Metals industry is in the same range as CMCL (38) in the Other Metals Or Minerals industry. This means that IAG’s stock grew similarly to CMCL’s over the last 12 months.
IAG's Price Growth Rating (44) in the Precious Metals industry is in the same range as CMCL (53) in the Other Metals Or Minerals industry. This means that IAG’s stock grew similarly to CMCL’s over the last 12 months.
IAG's P/E Growth Rating (33) in the Precious Metals industry is somewhat better than the same rating for CMCL (97) in the Other Metals Or Minerals industry. This means that IAG’s stock grew somewhat faster than CMCL’s over the last 12 months.
| CMCL | IAG | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 68% | N/A |
| Stochastic ODDS (%) | 2 days ago 73% | 2 days ago 82% |
| Momentum ODDS (%) | 2 days ago 71% | 2 days ago 73% |
| MACD ODDS (%) | 3 days ago 71% | N/A |
| TrendWeek ODDS (%) | 2 days ago 75% | 2 days ago 83% |
| TrendMonth ODDS (%) | 2 days ago 79% | 2 days ago 74% |
| Advances ODDS (%) | 5 days ago 80% | 2 days ago 83% |
| Declines ODDS (%) | 13 days ago 74% | 10 days ago 76% |
| BollingerBands ODDS (%) | 2 days ago 87% | 2 days ago 88% |
| Aroon ODDS (%) | 2 days ago 77% | 2 days ago 69% |
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).
CMCL’s FA Score shows that 1 FA rating(s) are green while IAG’s FA Score has 2 green FA rating(s).
- CMCL’s FA Score: 1 green, 4 red.
- IAG’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.
CMCL’s TA Score shows that 2 TA indicator(s) are bullish while IAG’s TA Score has 4 bullish TA indicator(s).
- CMCL’s TA Score: 2 bullish, 7 bearish.
- IAG’s TA Score: 4 bullish, 5 bearish.
Price Growth
CMCL (@Precious Metals) experienced а -1.08% price change this week, while IAG (@Precious Metals) price change was +1.51% for the same time period.
The average weekly price growth across all stocks in the @Precious Metals industry was +0.25%. For the same industry, the average monthly price growth was -11.08%, and the average quarterly price growth was -7.92%.
Reported Earning Dates
CMCL is expected to report earnings on Nov 16, 2026.
IAG is expected to report earnings on Nov 05, 2026.
Industries' Descriptions
@Precious Metals (+0.25% 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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CMCL and
Correlation & Price change
A.I.dvisor indicates that over the last year, CMCL has been closely correlated with FSM. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if CMCL jumps, then FSM could also see price increases.
| Ticker / NAME | Correlation To CMCL | 1D Price Change % | ||
|---|---|---|---|---|
| CMCL | 100% | -2.70% | ||
| FSM - CMCL | 72% Closely correlated | +2.92% | ||
| AGI - CMCL | 69% Closely correlated | +2.11% | ||
| OGC - CMCL | 67% Closely correlated | +3.49% | ||
| NEM - CMCL | 67% Closely correlated | +1.98% | ||
| IAG - CMCL | 67% Closely correlated | +2.17% | ||
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IAG and
Correlation & Price change
A.I.dvisor indicates that over the last year, IAG 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 IAG jumps, then AEM could also see price increases.