KNF vs MMSC
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 MMSC 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 +3.32% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Construction Materials industry was -2.46%. For the same industry, the average monthly price growth was -2.23%, and the average quarterly price growth was +8.41%.
Reported Earning Dates
KNF is expected to report earnings on Feb 13, 2025.
Industries' Descriptions
@Construction Materials (-2.46% 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 | MMSC | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 40% | N/A |
| Stochastic ODDS (%) | 4 days ago 82% | 4 days ago 89% |
| Momentum ODDS (%) | 4 days ago 80% | 4 days ago 66% |
| MACD ODDS (%) | 4 days ago 50% | 4 days ago 64% |
| TrendWeek ODDS (%) | 4 days ago 85% | 4 days ago 76% |
| TrendMonth ODDS (%) | 4 days ago 89% | 4 days ago 77% |
| Advances ODDS (%) | 13 days ago 83% | 4 days ago 82% |
| Declines ODDS (%) | 5 days ago 46% | 6 days ago 78% |
| BollingerBands ODDS (%) | 4 days ago 57% | 4 days ago 86% |
| Aroon ODDS (%) | 4 days ago 85% | 4 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| BKSE | 101.68 | 0.73 | +0.73% |
| BNY Mellon US Small Cap Core Equity ETF | |||
| MCH | 22.32 | 0.09 | +0.38% |
| Matthews China Active ETF | |||
| GCOR | 40.57 | 0.11 | +0.27% |
| Goldman Sachs Access US Aggregate Bd ETF | |||
| AGIH | 24.65 | N/A | N/A |
| iShares Inflation Hdg U.S. Aggt Bd ETF | |||
| GUSA | 52.91 | N/A | N/A |
| Goldman Sachs MarketBeta US 1000 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 68% 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.
MMSC and
Correlation & Price change
A.I.dvisor indicates that over the last year, MMSC has been closely correlated with KNF. 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 KNF could also see price increases.
| Ticker / NAME | Correlation To MMSC | 1D Price Change % | ||
|---|---|---|---|---|
| MMSC | 100% | +0.68% | ||
| KNF - MMSC | 70% Closely correlated | +5.68% | ||
| CR - MMSC | 67% Closely correlated | +0.18% | ||
| DRS - MMSC | 62% Loosely correlated | +3.22% | ||
| BRZE - MMSC | 56% Loosely correlated | +0.70% | ||
| CAVA - MMSC | 52% Loosely correlated | +1.71% | ||
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