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).
KNF’s FA Score shows that 0 FA rating(s) are green whileUSLM’s FA Score has 2 green FA rating(s).
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.
KNF’s TA Score shows that 4 TA indicator(s) are bullish while USLM’s TA Score has 4 bullish TA indicator(s).
KNF (@Construction Materials) experienced а +3.32% price change this week, while USLM (@Construction Materials) price change was -8.90% for the same time period.
The average weekly price growth across all stocks in the @Construction Materials industry was -2.72%. For the same industry, the average monthly price growth was -0.29%, and the average quarterly price growth was +20.23%.
KNF is expected to report earnings on Feb 13, 2025.
USLM is expected to report earnings on Jan 30, 2025.
Many naturally occurring substances, such as clay, rocks, sand, and wood, even twigs and leaves have been used in construction material. Many man-made products are also in use. Vulcan Materials Co., Martin Marietta Materials, Inc. and Owens Corning Inc. are examples of construction material companies in the U.S. Performance of companies that extract or produce construction materials could at times depend on demand for residential and commercial buildings/real estate, and therefore in some cases could feel impacted by economic cycles.
KNF | USLM | KNF / USLM | |
Capitalization | 4.59B | 1.68B | 272% |
EBITDA | 427M | 109M | 392% |
Gain YTD | 59.731 | 191.866 | 31% |
P/E Ratio | 24.50 | 22.59 | 108% |
Revenue | 2.83B | 281M | 1,007% |
Total Cash | 262M | 188M | 139% |
Total Debt | 726M | 5.5M | 13,198% |
USLM | ||
---|---|---|
OUTLOOK RATING 1..100 | 60 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 82 Overvalued | |
PROFIT vs RISK RATING 1..100 | 2 | |
SMR RATING 1..100 | 41 | |
PRICE GROWTH RATING 1..100 | 36 | |
P/E GROWTH RATING 1..100 | 8 | |
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.
KNF | USLM | |
---|---|---|
RSI ODDS (%) | 4 days ago40% | 4 days ago54% |
Stochastic ODDS (%) | 4 days ago82% | 4 days ago67% |
Momentum ODDS (%) | 4 days ago79% | 4 days ago49% |
MACD ODDS (%) | 4 days ago50% | 4 days ago43% |
TrendWeek ODDS (%) | 4 days ago85% | 4 days ago50% |
TrendMonth ODDS (%) | 4 days ago89% | 4 days ago49% |
Advances ODDS (%) | 13 days ago83% | 12 days ago76% |
Declines ODDS (%) | 5 days ago46% | 6 days ago49% |
BollingerBands ODDS (%) | 4 days ago57% | 4 days ago68% |
Aroon ODDS (%) | 4 days ago85% | 4 days ago77% |
A.I.dvisor indicates that over the last year, KNF has been closely correlated with SUM. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if KNF jumps, then SUM could also see price increases.
A.I.dvisor indicates that over the last year, USLM has been loosely correlated with VMC. These tickers have moved in lockstep 46% of the time. This A.I.-generated data suggests there is some statistical probability that if USLM jumps, then VMC could also see price increases.
Ticker / NAME | Correlation To USLM | 1D Price Change % | ||
---|---|---|---|---|
USLM | 100% | -0.59% | ||
VMC - USLM | 46% Loosely correlated | +0.85% | ||
EXP - USLM | 45% Loosely correlated | -0.76% | ||
KNF - USLM | 43% Loosely correlated | +5.68% | ||
SUM - USLM | 42% Loosely correlated | +0.30% | ||
BCC - USLM | 40% Loosely correlated | -0.21% | ||
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