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 whileTTAM’s FA Score has 1 green FA rating(s).
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 while TTAM’s TA Score has 5 bullish TA indicator(s).
KNF (@Construction Materials) experienced а -0.60% price change this week, while TTAM (@Construction Materials) price change was +0.19% for the same time period.
The average weekly price growth across all stocks in the @Construction Materials industry was -6.42%. For the same industry, the average monthly price growth was -8.62%, and the average quarterly price growth was -12.37%.
KNF is expected to report earnings on Nov 09, 2026.
TTAM is expected to report earnings on Nov 11, 2026.
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 | TTAM | KNF / TTAM | |
| Capitalization | 3.77B | 2.96B | 127% |
| EBITDA | 493M | 378M | 130% |
| Gain YTD | -5.615 | -2.213 | 254% |
| P/E Ratio | 26.99 | 16.71 | 162% |
| Revenue | 3.2B | 1.71B | 187% |
| Total Cash | 13.3M | 65.7M | 20% |
| Total Debt | 1.48B | 574M | 258% |
| KNF | TTAM | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 56% | 2 days ago 86% |
| Stochastic ODDS (%) | 2 days ago 78% | 2 days ago 80% |
| Momentum ODDS (%) | 2 days ago 70% | 2 days ago 73% |
| MACD ODDS (%) | N/A | N/A |
| TrendWeek ODDS (%) | 2 days ago 68% | 2 days ago 78% |
| TrendMonth ODDS (%) | 2 days ago 69% | 2 days ago 53% |
| Advances ODDS (%) | 5 days ago 77% | 4 days ago 82% |
| Declines ODDS (%) | 3 days ago 70% | 10 days ago 63% |
| BollingerBands ODDS (%) | 2 days ago 81% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 80% | 2 days ago 53% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| PBMR | 32.57 | N/A | N/A |
| PGIM S&P 500 Buffer 20 ETF - Mar | |||
| XLYI | 23.04 | -0.02 | -0.09% |
| State Street®CnsmrDiscSelSectSPDR®PrmETF | |||
| MMIN | 23.76 | -0.06 | -0.27% |
| NYLI MacKay Muni Insured ETF | |||
| BKCI | 54.75 | -0.23 | -0.43% |
| BNY Mellon Concentrated Internatnl ETF | |||
| QGRW | 68.42 | -0.32 | -0.47% |
| WisdomTree U.S. Quality Growth ETF | |||
A.I.dvisor indicates that over the last year, KNF has been loosely correlated with BCC. These tickers have moved in lockstep 58% of the time. This A.I.-generated data suggests there is some statistical probability that if KNF jumps, then BCC could also see price increases.
A.I.dvisor indicates that over the last year, TTAM 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 TTAM jumps, then EXP could also see price increases.
| Ticker / NAME | Correlation To TTAM | 1D Price Change % | ||
|---|---|---|---|---|
| TTAM | 100% | +2.10% | ||
| EXP - TTAM | 71% Closely correlated | -0.14% | ||
| MLM - TTAM | 66% Closely correlated | +0.58% | ||
| CRH - TTAM | 65% Loosely correlated | -0.16% | ||
| VMC - TTAM | 61% Loosely correlated | +1.61% | ||
| AMRZ - TTAM | 60% Loosely correlated | -0.13% | ||
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