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SQM vs ZSB
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 SQM is a StrongBuy and ZSB is a Hold.
SQM | ||
|---|---|---|
OUTLOOK RATING 1..100 | 56 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 17 Undervalued | |
PROFIT vs RISK RATING 1..100 | 79 | |
SMR RATING 1..100 | 41 | |
PRICE GROWTH RATING 1..100 | 59 | |
P/E GROWTH RATING 1..100 | 90 | |
SEASONALITY SCORE 1..100 | 90 |
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.
| SQM | ZSB | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 70% | 2 days ago 41% |
| Stochastic ODDS (%) | 2 days ago 76% | 2 days ago 63% |
| Momentum ODDS (%) | 2 days ago 71% | 2 days ago 70% |
| MACD ODDS (%) | 2 days ago 73% | 2 days ago 75% |
| TrendWeek ODDS (%) | 2 days ago 73% | 2 days ago 77% |
| TrendMonth ODDS (%) | 2 days ago 73% | 2 days ago 74% |
| Advances ODDS (%) | 11 days ago 75% | N/A |
| Declines ODDS (%) | 2 days ago 78% | N/A |
| BollingerBands ODDS (%) | 2 days ago 88% | 2 days ago 59% |
| Aroon ODDS (%) | 2 days ago 76% | 2 days ago 88% |
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).
SQM’s FA Score shows that 1 FA rating(s) are green while .
- SQM’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.
SQM’s TA Score shows that 4 TA indicator(s) are bullish.
- SQM’s TA Score: 4 bullish, 6 bearish.
Price Growth
SQM (@Chemicals: Specialty) experienced а -4.47% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Chemicals: Specialty industry was -0.79%. For the same industry, the average monthly price growth was -2.97%, and the average quarterly price growth was +3.75%.
Reported Earning Dates
SQM is expected to report earnings on Nov 18, 2026.
Industries' Descriptions
@Chemicals: Specialty (-0.79% weekly)The specialty chemicals sector includes companies that produce chemicals and industrial gases, which are of relatively high-value, often made to customer specifications. Examples of specialty chemicals are electronic chemicals, industrial gases, coatings, adhesives and sealants, industrial and institutional cleaning chemicals. The products are often valued on the basis of their purposes/performances rather than for their composition. Linde Plc, Ecolab Inc., Air Products and Chemicals, Inc., and Dow, Inc. are some of the largest companies making specialty chemicals.
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SQM and
Correlation & Price change
A.I.dvisor indicates that over the last year, SQM has been closely correlated with ALB. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if SQM jumps, then ALB could also see price increases.
ZSB and
Correlation & Price change
A.I.dvisor tells us that ZSB and TROX have been poorly correlated (+8% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that ZSB and TROX's prices will move in lockstep.