FSM vs GATO
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).
FSM’s FA Score shows that 0 FA rating(s) are green whileGATO’s FA Score has 0 green FA rating(s).
- FSM’s FA Score: 0 green, 5 red.
- GATO’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.
FSM’s TA Score shows that 7 TA indicator(s) are bullish.
- FSM’s TA Score: 7 bullish, 4 bearish.
Price Growth
FSM (@Precious Metals) experienced а -2.40% price change this week, while GATO (@Precious Metals) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Precious Metals industry was -1.62%. For the same industry, the average monthly price growth was +5.88%, and the average quarterly price growth was +11.19%.
Reported Earning Dates
FSM is expected to report earnings on Aug 07, 2024.
GATO is expected to report earnings on May 12, 2025.
Industries' Descriptions
@Precious Metals (-1.62% 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.
| FSM | GATO | FSM / GATO | |
| Capitalization | 1.14B | 580M | 196% |
| EBITDA | 231M | 13.7M | 1,686% |
| Gain YTD | 41.958 | 3.004 | 1,397% |
| P/E Ratio | 26.81 | 46.94 | 57% |
| Revenue | 842M | 0 | - |
| Total Cash | 128M | 55.5M | 231% |
| Total Debt | 264M | 39K | 676,923% |
FSM | ||
|---|---|---|
OUTLOOK RATING 1..100 | 24 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 66 Overvalued | |
PROFIT vs RISK RATING 1..100 | 65 | |
SMR RATING 1..100 | 88 | |
PRICE GROWTH RATING 1..100 | 36 | |
P/E GROWTH RATING 1..100 | 98 | |
SEASONALITY SCORE 1..100 | 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.
| FSM | |
|---|---|
| RSI ODDS (%) | 4 days ago 84% |
| Stochastic ODDS (%) | 4 days ago 84% |
| Momentum ODDS (%) | 4 days ago 81% |
| MACD ODDS (%) | 4 days ago 80% |
| TrendWeek ODDS (%) | 4 days ago 82% |
| TrendMonth ODDS (%) | 4 days ago 78% |
| Advances ODDS (%) | 11 days ago 80% |
| Declines ODDS (%) | 5 days ago 80% |
| BollingerBands ODDS (%) | 4 days ago 82% |
| Aroon ODDS (%) | 4 days ago 77% |
FSM and
Correlation & Price change
A.I.dvisor indicates that over the last year, FSM has been closely correlated with CDE. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if FSM jumps, then CDE could also see price increases.
GATO and
Correlation & Price change
A.I.dvisor indicates that over the last year, GATO has been closely correlated with SILV. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if GATO jumps, then SILV could also see price increases.
| Ticker / NAME | Correlation To GATO | 1D Price Change % | ||
|---|---|---|---|---|
| GATO | 100% | N/A | ||
| SILV - GATO | 71% Closely correlated | N/A | ||
| CDE - GATO | 68% Closely correlated | -4.52% | ||
| MAG - GATO | 67% Closely correlated | -1.94% | ||
| FSM - GATO | 66% Closely correlated | -2.40% | ||
| NGD - GATO | 64% Loosely correlated | -2.21% | ||
More | ||||