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).
WCHNF’s FA Score shows that 3 FA rating(s) are green whileXYIGF’s FA Score has 2 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.
WCHNF’s TA Score shows that 1 TA indicator(s) are bullish while XYIGF’s TA Score has 4 bullish TA indicator(s).
WCHNF (@Construction Materials) experienced а 0.00% price change this week, while XYIGF (@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 -4.12%. For the same industry, the average monthly price growth was -0.22%, and the average quarterly price growth was +7.96%.
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.
WCHNF | XYIGF | WCHNF / XYIGF | |
Capitalization | 558M | 6.48B | 9% |
EBITDA | 3.43B | 15.2B | 23% |
Gain YTD | 69.231 | -3.137 | -2,207% |
P/E Ratio | 4.04 | 12.06 | 34% |
Revenue | 8B | 30.5B | 26% |
Total Cash | 3.59B | 9.54B | 38% |
Total Debt | 9.13B | 15.5B | 59% |
WCHNF | XYIGF | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 38 | 27 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 15 Undervalued | 2 Undervalued | |
PROFIT vs RISK RATING 1..100 | 20 | 100 | |
SMR RATING 1..100 | 56 | 25 | |
PRICE GROWTH RATING 1..100 | 37 | 53 | |
P/E GROWTH RATING 1..100 | 2 | 76 | |
SEASONALITY SCORE 1..100 | n/a | 95 |
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.
XYIGF's Valuation (2) in the null industry is in the same range as WCHNF (15). This means that XYIGF’s stock grew similarly to WCHNF’s over the last 12 months.
WCHNF's Profit vs Risk Rating (20) in the null industry is significantly better than the same rating for XYIGF (100). This means that WCHNF’s stock grew significantly faster than XYIGF’s over the last 12 months.
XYIGF's SMR Rating (25) in the null industry is in the same range as WCHNF (56). This means that XYIGF’s stock grew similarly to WCHNF’s over the last 12 months.
WCHNF's Price Growth Rating (37) in the null industry is in the same range as XYIGF (53). This means that WCHNF’s stock grew similarly to XYIGF’s over the last 12 months.
WCHNF's P/E Growth Rating (2) in the null industry is significantly better than the same rating for XYIGF (76). This means that WCHNF’s stock grew significantly faster than XYIGF’s over the last 12 months.
WCHNF | XYIGF | |
---|---|---|
RSI ODDS (%) | N/A | 2 days ago79% |
Stochastic ODDS (%) | 2 days ago40% | 2 days ago67% |
Momentum ODDS (%) | N/A | 2 days ago65% |
MACD ODDS (%) | 2 days ago14% | 2 days ago74% |
TrendWeek ODDS (%) | 2 days ago19% | 2 days ago67% |
TrendMonth ODDS (%) | 2 days ago19% | 2 days ago68% |
Advances ODDS (%) | N/A | N/A |
Declines ODDS (%) | N/A | N/A |
BollingerBands ODDS (%) | N/A | 2 days ago77% |
Aroon ODDS (%) | N/A | 2 days ago65% |
A.I.dvisor indicates that over the last year, WCHNF has been closely correlated with WBRBF. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if WCHNF jumps, then WBRBF could also see price increases.
Ticker / NAME | Correlation To WCHNF | 1D Price Change % | ||
---|---|---|---|---|
WCHNF | 100% | N/A | ||
WBRBF - WCHNF | 71% Closely correlated | N/A | ||
XYIGF - WCHNF | 8% Poorly correlated | N/A | ||
BRKWF - WCHNF | 4% Poorly correlated | -1.03% | ||
XYIGY - WCHNF | 1% Poorly correlated | -0.76% | ||
THYCY - WCHNF | -0% Poorly correlated | N/A | ||
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A.I.dvisor tells us that XYIGF and XYIGY have been poorly correlated (+21% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that XYIGF and XYIGY's prices will move in lockstep.
Ticker / NAME | Correlation To XYIGF | 1D Price Change % | ||
---|---|---|---|---|
XYIGF | 100% | N/A | ||
XYIGY - XYIGF | 21% Poorly correlated | -0.76% | ||
WCHNF - XYIGF | 8% Poorly correlated | N/A | ||
BSND - XYIGF | 6% Poorly correlated | N/A | ||
WBRBY - XYIGF | 4% Poorly correlated | -6.28% | ||
SDCVF - XYIGF | 3% Poorly correlated | N/A | ||
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