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SDCVF vs WCHNF
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 SDCVF is a Hold and WCHNF 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).
SDCVF’s FA Score shows that 2 FA rating(s) are green whileWCHNF’s FA Score has 3 green FA rating(s).
- SDCVF’s FA Score: 2 green, 3 red.
- WCHNF’s FA Score: 3 green, 2 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.
SDCVF’s TA Score shows that 1 TA indicator(s) are bullish while WCHNF’s TA Score has 1 bullish TA indicator(s).
- SDCVF’s TA Score: 1 bullish, 3 bearish.
- WCHNF’s TA Score: 1 bullish, 0 bearish.
Price Growth
SDCVF (@Construction Materials) experienced а 0.00% price change this week, while WCHNF (@Construction Materials) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Construction Materials industry was +0.58%. For the same industry, the average monthly price growth was +2.62%, and the average quarterly price growth was +8.92%.
Industries' Descriptions
@Construction Materials (+0.58% 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.
| SDCVF | WCHNF | SDCVF / WCHNF | |
| Capitalization | 1.51B | 558M | 271% |
| EBITDA | 646M | 3.43B | 19% |
| Gain YTD | 63.332 | 0.000 | - |
| P/E Ratio | 4.49 | 4.04 | 111% |
| Revenue | 3.8B | 8B | 47% |
| Total Cash | 463M | 3.59B | 13% |
| Total Debt | 2.09B | 9.13B | 23% |
WCHNF | ||
|---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 16 Undervalued | |
PROFIT vs RISK RATING 1..100 | 28 | |
SMR RATING 1..100 | 55 | |
PRICE GROWTH RATING 1..100 | 50 | |
P/E GROWTH RATING 1..100 | 2 | |
SEASONALITY SCORE 1..100 | n/a |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
| SDCVF | WCHNF | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 14% | 3 days ago 17% |
| Stochastic ODDS (%) | 3 days ago 32% | N/A |
| Momentum ODDS (%) | 3 days ago 19% | N/A |
| MACD ODDS (%) | 3 days ago 29% | N/A |
| TrendWeek ODDS (%) | 3 days ago 27% | 3 days ago 15% |
| TrendMonth ODDS (%) | 3 days ago 30% | 3 days ago 14% |
| Advances ODDS (%) | N/A | N/A |
| Declines ODDS (%) | N/A | N/A |
| BollingerBands ODDS (%) | N/A | N/A |
| Aroon ODDS (%) | N/A | N/A |
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SDCVF and
Correlation & Price change
A.I.dvisor tells us that SDCVF and XYIGF have been poorly correlated (+3% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SDCVF and XYIGF's prices will move in lockstep.
| Ticker / NAME | Correlation To SDCVF | 1D Price Change % | ||
|---|---|---|---|---|
| SDCVF | 100% | N/A | ||
| XYIGF - SDCVF | 3% Poorly correlated | N/A | ||
| BSND - SDCVF | -0% Poorly correlated | N/A | ||
| WCHNF - SDCVF | -0% Poorly correlated | N/A | ||
| WBRBF - SDCVF | -0% Poorly correlated | N/A | ||
| KNF - SDCVF | -0% Poorly correlated | +1.55% | ||
More | ||||
WCHNF and
Correlation & Price change
A.I.dvisor tells us that WCHNF and JHX have been poorly correlated (+21% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that WCHNF and JHX's prices will move in lockstep.
| Ticker / NAME | Correlation To WCHNF | 1D Price Change % | ||
|---|---|---|---|---|
| WCHNF | 100% | N/A | ||
| JHX - WCHNF | 21% Poorly correlated | +7.06% | ||
| XYIGF - WCHNF | 8% Poorly correlated | N/A | ||
| XYIGY - WCHNF | 5% Poorly correlated | N/A | ||
| BRKWF - WCHNF | 4% Poorly correlated | N/A | ||
| WBRBF - WCHNF | -0% Poorly correlated | N/A | ||
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