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 1 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 2 TA indicator(s) are bullish.
KNF (@Construction Materials) experienced а -8.88% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Construction Materials industry was -1.91%. For the same industry, the average monthly price growth was -0.51%, and the average quarterly price growth was +6.85%.
KNF is expected to report earnings on May 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 (%) | N/A | 3 days ago88% |
Stochastic ODDS (%) | 3 days ago50% | 3 days ago90% |
Momentum ODDS (%) | 3 days ago47% | 3 days ago73% |
MACD ODDS (%) | 3 days ago50% | 3 days ago77% |
TrendWeek ODDS (%) | 3 days ago51% | 3 days ago76% |
TrendMonth ODDS (%) | 3 days ago52% | 3 days ago78% |
Advances ODDS (%) | 6 days ago83% | 6 days ago82% |
Declines ODDS (%) | 3 days ago50% | 3 days ago77% |
BollingerBands ODDS (%) | 3 days ago80% | 3 days ago78% |
Aroon ODDS (%) | 3 days ago90% | 3 days ago90% |
1 Day | |||
---|---|---|---|
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2x Long VIX Futures ETF | |||
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JPMorgan BetaBuilders US Mid Cap Eq ETF |
A.I.dvisor indicates that over the last year, KNF has been closely correlated with SUM. These tickers have moved in lockstep 66% 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, MMSC has been closely correlated with CR. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if MMSC jumps, then CR could also see price increases.
Ticker / NAME | Correlation To MMSC | 1D Price Change % | ||
---|---|---|---|---|
MMSC | 100% | -3.66% | ||
CR - MMSC | 70% Closely correlated | -3.77% | ||
KNF - MMSC | 70% Closely correlated | -8.25% | ||
DRS - MMSC | 58% Loosely correlated | -7.53% | ||
BRZE - MMSC | 53% Loosely correlated | -2.85% | ||
CRDO - MMSC | 53% Loosely correlated | -6.31% | ||
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