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KNF vs TSME
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is KNF is a StrongBuy and TSME is a Hold.
Long-Term Analysis
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.
- KNF’s FA Score: 0 green, 5 red.
Short-Term Analysis
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’s TA Score: 3 bullish, 6 bearish.
Price Growth
KNF (@Construction Materials) experienced а -12.46% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Construction Materials industry was -1.08%. For the same industry, the average monthly price growth was +1.13%, and the average quarterly price growth was +3.25%.
Reported Earning Dates
KNF is expected to report earnings on Aug 12, 2025.
Industries' Descriptions
@Construction Materials (-1.08% weekly)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 (%) | 4 days ago 67% | 4 days ago 90% |
| Stochastic ODDS (%) | 4 days ago 75% | 4 days ago 74% |
| Momentum ODDS (%) | 4 days ago 58% | 4 days ago 86% |
| MACD ODDS (%) | 4 days ago 57% | 4 days ago 90% |
| TrendWeek ODDS (%) | 4 days ago 58% | 4 days ago 79% |
| TrendMonth ODDS (%) | 4 days ago 62% | 4 days ago 79% |
| Advances ODDS (%) | N/A | 7 days ago 83% |
| Declines ODDS (%) | 6 days ago 57% | 26 days ago 81% |
| BollingerBands ODDS (%) | 4 days ago 85% | 5 days ago 73% |
| Aroon ODDS (%) | 4 days ago 79% | 4 days ago 76% |
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| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| NVDQ | 1.71 | 0.07 | +4.28% |
| T-REX 2X Inverse NVIDIA Daily Target ETF | |||
| EAD | 6.85 | -0.03 | -0.44% |
| Allspring Income Opportunities Fund | |||
| IVE | 190.91 | -1.94 | -1.01% |
| iShares S&P 500 Value ETF | |||
| WTV | 83.63 | -1.04 | -1.23% |
| WisdomTree US Value ETF | |||
| GTEK | 34.08 | -0.53 | -1.52% |
| Goldman Sachs Future Tech Leaders Eq ETF | |||
KNF and
Correlation & Price change
A.I.dvisor indicates that over the last year, KNF has been closely correlated with EXP. These tickers have moved in lockstep 69% 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.
TSME and
Correlation & Price change
A.I.dvisor indicates that over the last year, TSME has been closely correlated with OMF. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if TSME jumps, then OMF could also see price increases.
| Ticker / NAME | Correlation To TSME | 1D Price Change % | ||
|---|---|---|---|---|
| TSME | 100% | -1.67% | ||
| OMF - TSME | 82% Closely correlated | -2.43% | ||
| TPG - TSME | 81% Closely correlated | -3.82% | ||
| GTES - TSME | 80% Closely correlated | -2.17% | ||
| KNF - TSME | 76% Closely correlated | -5.19% | ||
| BELFB - TSME | 76% Closely correlated | -0.27% | ||
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