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 Hold and TSME is a StrongBuy.
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 4 TA indicator(s) are bullish.
- KNF’s TA Score: 4 bullish, 4 bearish.
Price Growth
KNF (@Construction Materials) experienced а +2.62% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Construction Materials industry was +1.24%. For the same industry, the average monthly price growth was -3.20%, and the average quarterly price growth was +2.77%.
Reported Earning Dates
KNF is expected to report earnings on May 13, 2025.
Industries' Descriptions
@Construction Materials (+1.24% 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 (%) | N/A | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 55% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 72% | 2 days ago 83% |
| MACD ODDS (%) | 2 days ago 84% | 2 days ago 75% |
| TrendWeek ODDS (%) | 2 days ago 79% | 2 days ago 83% |
| TrendMonth ODDS (%) | 2 days ago 60% | 2 days ago 79% |
| Advances ODDS (%) | 4 days ago 79% | 5 days ago 83% |
| Declines ODDS (%) | 2 days ago 56% | 3 days ago 80% |
| BollingerBands ODDS (%) | 2 days ago 75% | 2 days ago 85% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 75% |
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 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.
TSME and
Correlation & Price change
A.I.dvisor indicates that over the last year, TSME has been closely correlated with TPG. These tickers have moved in lockstep 80% 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% | +0.54% | ||
| TPG - TSME | 80% Closely correlated | N/A | ||
| OMF - TSME | 79% Closely correlated | +0.70% | ||
| GTES - TSME | 77% Closely correlated | +0.53% | ||
| KNF - TSME | 77% Closely correlated | -1.57% | ||
| BELFB - TSME | 76% Closely correlated | +1.69% | ||
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