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).
BHP’s FA Score shows that 3 FA rating(s) are green while.
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.
BHP’s TA Score shows that 6 TA indicator(s) are bullish.
BHP (@Other Metals/Minerals) experienced а -6.40% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Other Metals/Minerals industry was +1.77%. For the same industry, the average monthly price growth was +12.81%, and the average quarterly price growth was +0.54%.
BHP is expected to report earnings on Oct 16, 2024.
The category includes companies that explore for, mine and extract metals, such as copper, diamonds, nickel, cobalt ore, lead, zinc and uranium. BHP, Rio Tinto and Southern Copper Corporation are major players in this space.
BHP | ||
---|---|---|
OUTLOOK RATING 1..100 | 22 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 6 Undervalued | |
PROFIT vs RISK RATING 1..100 | 21 | |
SMR RATING 1..100 | 100 | |
PRICE GROWTH RATING 1..100 | 44 | |
P/E GROWTH RATING 1..100 | 17 | |
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.
BHP | DWM | |
---|---|---|
RSI ODDS (%) | 2 days ago69% | 7 days ago74% |
Stochastic ODDS (%) | 2 days ago59% | 2 days ago90% |
Momentum ODDS (%) | 2 days ago64% | 2 days ago79% |
MACD ODDS (%) | 2 days ago62% | 2 days ago84% |
TrendWeek ODDS (%) | 2 days ago59% | 2 days ago76% |
TrendMonth ODDS (%) | 2 days ago65% | 2 days ago76% |
Advances ODDS (%) | 8 days ago69% | 16 days ago79% |
Declines ODDS (%) | 6 days ago59% | 2 days ago76% |
BollingerBands ODDS (%) | 2 days ago69% | 2 days ago78% |
Aroon ODDS (%) | 2 days ago67% | 2 days ago79% |
1 Day | |||
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MFs / NAME | Price $ | Chg $ | Chg % |
AVLVX | 14.18 | N/A | N/A |
Avantis U.S. Large Cap Value Inst | |||
JVMAX | 28.90 | -0.01 | -0.03% |
JHancock Disciplined Value Mid Cap A | |||
NOLVX | 22.19 | -0.01 | -0.05% |
Northern Large Cap Value | |||
AIECX | 20.50 | -0.06 | -0.29% |
Invesco EQV International Equity C | |||
CEMGX | 12.63 | -0.22 | -1.71% |
Cullen Emerging Markets High Div C |
A.I.dvisor indicates that over the last year, BHP has been closely correlated with RIO. These tickers have moved in lockstep 89% of the time. This A.I.-generated data suggests there is a high statistical probability that if BHP jumps, then RIO could also see price increases.
Ticker / NAME | Correlation To BHP | 1D Price Change % | ||
---|---|---|---|---|
BHP | 100% | -3.96% | ||
RIO - BHP | 89% Closely correlated | -4.25% | ||
FCX - BHP | 81% Closely correlated | -4.33% | ||
VALE - BHP | 79% Closely correlated | -4.08% | ||
FSUGY - BHP | 76% Closely correlated | -6.66% | ||
GLNCY - BHP | 75% Closely correlated | -4.20% | ||
More |
A.I.dvisor indicates that over the last year, DWM has been closely correlated with STM. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if DWM jumps, then STM could also see price increases.