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ALB vs LIT
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 ALB is a Buy and LIT 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).
ALB’s FA Score shows that 1 FA rating(s) are green while.
- ALB’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.
ALB’s TA Score shows that 5 TA indicator(s) are bullish.
- ALB’s TA Score: 5 bullish, 4 bearish.
Price Growth
ALB (@Chemicals: Specialty) experienced а +8.65% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Chemicals: Specialty industry was +2.16%. For the same industry, the average monthly price growth was +6.25%, and the average quarterly price growth was +3.19%.
Reported Earning Dates
ALB is expected to report earnings on Jul 30, 2025.
Industries' Descriptions
@Chemicals: Specialty (+2.16% 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.
ALB | ||
|---|---|---|
OUTLOOK RATING 1..100 | 36 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 94 Overvalued | |
PROFIT vs RISK RATING 1..100 | 94 | |
SMR RATING 1..100 | 93 | |
PRICE GROWTH RATING 1..100 | 40 | |
P/E GROWTH RATING 1..100 | 2 | |
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.
| ALB | LIT | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 86% | 3 days ago 73% |
| Stochastic ODDS (%) | 3 days ago 83% | 3 days ago 88% |
| Momentum ODDS (%) | 3 days ago 81% | 3 days ago 90% |
| MACD ODDS (%) | 3 days ago 83% | 3 days ago 79% |
| TrendWeek ODDS (%) | 3 days ago 79% | 3 days ago 85% |
| TrendMonth ODDS (%) | 3 days ago 77% | 3 days ago 84% |
| Advances ODDS (%) | 6 days ago 79% | 3 days ago 85% |
| Declines ODDS (%) | 21 days ago 79% | 12 days ago 89% |
| BollingerBands ODDS (%) | 3 days ago 74% | 3 days ago 88% |
| Aroon ODDS (%) | 3 days ago 68% | 3 days ago 85% |
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ALB and
Correlation & Price change
A.I.dvisor indicates that over the last year, ALB has been closely correlated with SQM. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if ALB jumps, then SQM could also see price increases.
LIT and
Correlation & Price change
A.I.dvisor indicates that over the last year, LIT has been closely correlated with SQM. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if LIT jumps, then SQM could also see price increases.