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ABX vs FG
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 ABX is a Buy and FG is a Buy.
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).
ABX’s FA Score shows that 0 FA rating(s) are green whileFG’s FA Score has 1 green FA rating(s).
- ABX’s FA Score: 0 green, 5 red.
- FG’s FA Score: 1 green, 4 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.
ABX’s TA Score shows that 6 TA indicator(s) are bullish while FG’s TA Score has 5 bullish TA indicator(s).
- ABX’s TA Score: 6 bullish, 4 bearish.
- FG’s TA Score: 5 bullish, 5 bearish.
Price Growth
ABX (@Life/Health Insurance) experienced а -8.33% price change this week, while FG (@Life/Health Insurance) price change was +8.67% for the same time period.
The average weekly price growth across all stocks in the @Life/Health Insurance industry was +1.35%. For the same industry, the average monthly price growth was +4.28%, and the average quarterly price growth was +6.20%.
Reported Earning Dates
ABX is expected to report earnings on Aug 17, 2026.
FG is expected to report earnings on Aug 11, 2026.
Industries' Descriptions
@Life/Health Insurance (+1.35% weekly)Life insurance companies mainly sell policies that pay a death benefit as a lump sum upon the death of the insured to their beneficiaries. Life insurance policies may be sold as term life, (which guarantees payment of a stated death benefit and expires at the end of a specified term) or permanent /typically whole life (which is more expensive but lasts a lifetime and carries a cash accumulation component). Life insurance firms may also sell long-term disability policies that help to replace the insured individual’s income if they become sick or disabled. Health insurance, on the other hand, helps pay for medical expenses. Anthem, Inc., MetLife, Inc. and Aflac Incorporated are some of the largest U.S. companies in this industry.
| ABX | FG | ABX / FG | |
| Capitalization | 1.06B | 4.09B | 26% |
| EBITDA | 113M | N/A | - |
| Gain YTD | 28.655 | 1.999 | 1,434% |
| P/E Ratio | 28.95 | 7.99 | 362% |
| Revenue | 250M | 5.66B | 4% |
| Total Cash | 37.2M | N/A | - |
| Total Debt | 341M | 2.25B | 15% |
ABX | FG | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 19 | 22 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 84 Overvalued | 13 Undervalued | |
PROFIT vs RISK RATING 1..100 | 89 | 50 | |
SMR RATING 1..100 | 75 | 81 | |
PRICE GROWTH RATING 1..100 | 37 | 47 | |
P/E GROWTH RATING 1..100 | 99 | 52 | |
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.
FG's Valuation (13) in the Life Or Health Insurance industry is significantly better than the same rating for ABX (84) in the Precious Metals industry. This means that FG’s stock grew significantly faster than ABX’s over the last 12 months.
FG's Profit vs Risk Rating (50) in the Life Or Health Insurance industry is somewhat better than the same rating for ABX (89) in the Precious Metals industry. This means that FG’s stock grew somewhat faster than ABX’s over the last 12 months.
ABX's SMR Rating (75) in the Precious Metals industry is in the same range as FG (81) in the Life Or Health Insurance industry. This means that ABX’s stock grew similarly to FG’s over the last 12 months.
ABX's Price Growth Rating (37) in the Precious Metals industry is in the same range as FG (47) in the Life Or Health Insurance industry. This means that ABX’s stock grew similarly to FG’s over the last 12 months.
FG's P/E Growth Rating (52) in the Life Or Health Insurance industry is somewhat better than the same rating for ABX (99) in the Precious Metals industry. This means that FG’s stock grew somewhat faster than ABX’s over the last 12 months.
| ABX | FG | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 39% | 1 day ago 69% |
| Stochastic ODDS (%) | 1 day ago 36% | 1 day ago 77% |
| Momentum ODDS (%) | 1 day ago 56% | 1 day ago 77% |
| MACD ODDS (%) | 1 day ago 52% | 1 day ago 88% |
| TrendWeek ODDS (%) | 1 day ago 63% | 1 day ago 74% |
| TrendMonth ODDS (%) | 1 day ago 41% | 1 day ago 73% |
| Advances ODDS (%) | 8 days ago 68% | 1 day ago 73% |
| Declines ODDS (%) | 1 day ago 76% | 14 days ago 66% |
| BollingerBands ODDS (%) | 1 day ago 45% | 1 day ago 84% |
| Aroon ODDS (%) | 1 day ago 42% | 1 day ago 75% |
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ABX and
Correlation & Price change
A.I.dvisor indicates that over the last year, ABX has been loosely correlated with MET. These tickers have moved in lockstep 37% of the time. This A.I.-generated data suggests there is some statistical probability that if ABX jumps, then MET could also see price increases.
FG and
Correlation & Price change
A.I.dvisor indicates that over the last year, FG has been loosely correlated with LNC. These tickers have moved in lockstep 59% of the time. This A.I.-generated data suggests there is some statistical probability that if FG jumps, then LNC could also see price increases.