APGOF vs HBEIF
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 APGOF is a Sell and HBEIF 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).
APGOF’s FA Score shows that 0 FA rating(s) are green whileHBEIF’s FA Score has 0 green FA rating(s).
- APGOF’s FA Score: 0 green, 5 red.
- HBEIF’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.
APGOF’s TA Score shows that 3 TA indicator(s) are bullish.
- APGOF’s TA Score: 3 bullish, 5 bearish.
Price Growth
APGOF (@Precious Metals) experienced а +2.68% price change this week, while HBEIF (@Precious Metals) price change was -3.39% for the same time period.
The average weekly price growth across all stocks in the @Precious Metals industry was -2.08%. For the same industry, the average monthly price growth was -6.33%, and the average quarterly price growth was -1.76%.
Industries' Descriptions
@Precious Metals (-2.08% 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.
| APGOF | HBEIF | APGOF / HBEIF | |
| Capitalization | 15.8M | 3.71M | 426% |
| EBITDA | -9.21M | -2.34M | 394% |
| Gain YTD | 53.634 | 20.190 | 266% |
| P/E Ratio | N/A | N/A | - |
| Revenue | 0 | 0 | - |
| Total Cash | 7.29M | N/A | - |
| Total Debt | 223K | N/A | - |
HBEIF | ||
|---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 88 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 98 | |
PRICE GROWTH RATING 1..100 | 35 | |
P/E GROWTH RATING 1..100 | 100 | |
SEASONALITY SCORE 1..100 | 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.
| APGOF | |
|---|---|
| RSI ODDS (%) | 4 days ago 90% |
| Stochastic ODDS (%) | 4 days ago 81% |
| Momentum ODDS (%) | 4 days ago 75% |
| MACD ODDS (%) | 4 days ago 86% |
| TrendWeek ODDS (%) | 4 days ago 71% |
| TrendMonth ODDS (%) | 4 days ago 88% |
| Advances ODDS (%) | N/A |
| Declines ODDS (%) | N/A |
| BollingerBands ODDS (%) | 4 days ago 80% |
| Aroon ODDS (%) | 4 days ago 82% |
APGOF and
Correlation & Price change
A.I.dvisor indicates that over the last year, APGOF has been loosely correlated with PAAS. These tickers have moved in lockstep 50% of the time. This A.I.-generated data suggests there is some statistical probability that if APGOF jumps, then PAAS could also see price increases.
| Ticker / NAME | Correlation To APGOF | 1D Price Change % | ||
|---|---|---|---|---|
| APGOF | 100% | -0.62% | ||
| PAAS - APGOF | 50% Loosely correlated | -2.15% | ||
| HL - APGOF | 49% Loosely correlated | -1.79% | ||
| WPM - APGOF | 48% Loosely correlated | -1.11% | ||
| BTG - APGOF | 48% Loosely correlated | -0.74% | ||
| AG - APGOF | 48% Loosely correlated | -1.63% | ||
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HBEIF and
Correlation & Price change
A.I.dvisor tells us that HBEIF and AG have been poorly correlated (+23% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that HBEIF and AG's prices will move in lockstep.
| Ticker / NAME | Correlation To HBEIF | 1D Price Change % | ||
|---|---|---|---|---|
| HBEIF | 100% | -9.05% | ||
| AG - HBEIF | 23% Poorly correlated | -1.63% | ||
| APGOF - HBEIF | 23% Poorly correlated | -0.62% | ||
| GFIOF - HBEIF | 23% Poorly correlated | N/A | ||
| SBSW - HBEIF | 23% Poorly correlated | -1.97% | ||
| STLRF - HBEIF | 22% Poorly correlated | -0.46% | ||
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