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 4 TA indicator(s) are bullish.
KNF (@Construction Materials) experienced а -1.93% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Construction Materials industry was +1.05%. For the same industry, the average monthly price growth was +4.02%, and the average quarterly price growth was +4.35%.
KNF is expected to report earnings on Aug 12, 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 | TSME | |
---|---|---|
RSI ODDS (%) | 1 day ago41% | 1 day ago88% |
Stochastic ODDS (%) | 1 day ago81% | 1 day ago77% |
Momentum ODDS (%) | 1 day ago67% | 1 day ago77% |
MACD ODDS (%) | 1 day ago57% | 1 day ago81% |
TrendWeek ODDS (%) | 1 day ago58% | 1 day ago83% |
TrendMonth ODDS (%) | 1 day ago83% | 1 day ago79% |
Advances ODDS (%) | 22 days ago78% | 1 day ago83% |
Declines ODDS (%) | 2 days ago57% | 5 days ago81% |
BollingerBands ODDS (%) | 1 day ago63% | 1 day ago90% |
Aroon ODDS (%) | 1 day ago85% | 1 day ago73% |
A.I.dvisor indicates that over the last year, KNF has been closely correlated with EXP. These tickers have moved in lockstep 71% 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, TSME has been closely correlated with TPG. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if TSME jumps, then TPG could also see price increases.
Ticker / NAME | Correlation To TSME | 1D Price Change % | ||
---|---|---|---|---|
TSME | 100% | +1.20% | ||
TPG - TSME | 81% Closely correlated | +2.74% | ||
OMF - TSME | 81% Closely correlated | +2.81% | ||
GTES - TSME | 81% Closely correlated | +1.16% | ||
KNF - TSME | 78% Closely correlated | +0.05% | ||
BELFB - TSME | 76% Closely correlated | +3.47% | ||
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