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 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.
KNF’s TA Score shows that 3 TA indicator(s) are bullish.
KNF (@Construction Materials) experienced а +8.91% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Construction Materials industry was +1.98%. For the same industry, the average monthly price growth was +4.67%, and the average quarterly price growth was +5.64%.
KNF is expected to report earnings on Feb 13, 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 | MMSC | |
---|---|---|
RSI ODDS (%) | 2 days ago43% | 2 days ago67% |
Stochastic ODDS (%) | 2 days ago46% | 2 days ago82% |
Momentum ODDS (%) | 2 days ago39% | 2 days ago83% |
MACD ODDS (%) | 2 days ago50% | 2 days ago70% |
TrendWeek ODDS (%) | 2 days ago84% | 2 days ago80% |
TrendMonth ODDS (%) | 2 days ago88% | 2 days ago81% |
Advances ODDS (%) | 2 days ago83% | 2 days ago81% |
Declines ODDS (%) | 8 days ago48% | 8 days ago77% |
BollingerBands ODDS (%) | 2 days ago83% | 2 days ago79% |
Aroon ODDS (%) | 3 days ago81% | 2 days ago84% |
1 Day | |||
---|---|---|---|
ETFs / NAME | Price $ | Chg $ | Chg % |
REGL | 86.17 | 1.01 | +1.19% |
ProShares S&P MidCap 400 Dividend Arst | |||
PALC | 51.96 | 0.49 | +0.95% |
Pacer Lunt Large Cap Mlt Ftr Alt ETF | |||
AVGV | 63.93 | 0.60 | +0.95% |
Avantis All Equity Markets Value ETF | |||
TINT | 30.51 | N/A | N/A |
ProShares Smart Materials ETF | |||
DECT | 32.30 | N/A | -0.02% |
AllianzIM U.S. Large Cp Buffer10 Dec ETF |
A.I.dvisor indicates that over the last year, KNF has been closely correlated with EXP. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if KNF jumps, then EXP could also see price increases.
A.I.dvisor indicates that over the last year, MMSC has been closely correlated with KNF. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if MMSC jumps, then KNF could also see price increases.
Ticker / NAME | Correlation To MMSC | 1D Price Change % | ||
---|---|---|---|---|
MMSC | 100% | +1.83% | ||
KNF - MMSC | 68% Closely correlated | +2.26% | ||
CR - MMSC | 65% Loosely correlated | +2.33% | ||
DRS - MMSC | 59% Loosely correlated | +2.12% | ||
CRDO - MMSC | 58% Loosely correlated | +7.70% | ||
BRZE - MMSC | 56% Loosely correlated | +5.44% | ||
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