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 +10.16% price change this week, while USLM (@Construction Materials) price change was +1.41% for the same time period.
The average weekly price growth across all stocks in the @Construction Materials industry was +1.68%. For the same industry, the average monthly price growth was -1.06%, and the average quarterly price growth was +4.70%.
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 | 3.188 | -8.995 | -35% |
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 | 80 Overvalued | |
PROFIT vs RISK RATING 1..100 | 8 | |
SMR RATING 1..100 | 41 | |
PRICE GROWTH RATING 1..100 | 37 | |
P/E GROWTH RATING 1..100 | 12 | |
SEASONALITY SCORE 1..100 | n/a |
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 (%) | N/A | 11 days ago57% |
Stochastic ODDS (%) | 11 days ago90% | 11 days ago68% |
Momentum ODDS (%) | 11 days ago35% | N/A |
MACD ODDS (%) | N/A | N/A |
TrendWeek ODDS (%) | 11 days ago47% | 11 days ago51% |
TrendMonth ODDS (%) | 11 days ago47% | 11 days ago49% |
Advances ODDS (%) | 13 days ago83% | 24 days ago76% |
Declines ODDS (%) | 17 days ago46% | 12 days ago51% |
BollingerBands ODDS (%) | 11 days ago88% | 11 days ago70% |
Aroon ODDS (%) | 11 days ago85% | 11 days ago54% |
1 Day | |||
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EELV | 23.55 | 0.11 | +0.47% |
Invesco S&P Emerging Markets Low Vol ETF | |||
IDNA | 21.91 | 0.01 | +0.05% |
iShares Genomics Immnlgy & Hlthcr ETF | |||
IWDL | 40.50 | N/A | N/A |
ETRACS 2x Leveraged US Value Fctr TR ETN | |||
XYLE | 25.56 | N/A | N/A |
Global X S&P 500 ESG Covered Call ETF | |||
RWR | 98.44 | -0.32 | -0.32% |
SPDR® Dow Jones® REIT ETF |
A.I.dvisor indicates that over the last year, KNF has been closely correlated with VMC. 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 VMC could also see price increases.
A.I.dvisor indicates that over the last year, USLM has been loosely correlated with EXP. These tickers have moved in lockstep 53% of the time. This A.I.-generated data suggests there is some statistical probability that if USLM jumps, then EXP could also see price increases.
Ticker / NAME | Correlation To USLM | 1D Price Change % | ||
---|---|---|---|---|
USLM | 100% | -0.60% | ||
EXP - USLM | 53% Loosely correlated | +0.95% | ||
SUM - USLM | 47% Loosely correlated | N/A | ||
VMC - USLM | 46% Loosely correlated | +0.35% | ||
KNF - USLM | 44% Loosely correlated | +0.59% | ||
BCC - USLM | 40% Loosely correlated | -0.38% | ||
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