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).
NWGL’s FA Score shows that 1 FA rating(s) are green whileWFSTF’s FA Score has 2 green FA rating(s).
NWGL (@Forest Products) experienced а -6.72% price change this week, while WFSTF (@Forest Products) price change was -6.16% for the same time period.
The average weekly price growth across all stocks in the @Forest Products industry was -1.26%. For the same industry, the average monthly price growth was -4.08%, and the average quarterly price growth was -5.59%.
Forest products are materials derived from forestry for direct consumption or commercial use. Wood, for example, has variety or uses ranging from generating wood fuel (e.g. in the form of firewood or charcoal) to providing structural materials for the construction of buildings and home improvement, or in the form of wood pulp that is used in the paper production. . Pulp and paper industry, in particular, creates high volume demand for the wood materials including both softwood and hardwood. Major companies making such products include Trex Company, Inc. (manufacturer of wood-alternative decking and railings), Louisiana-Pacific Corporation (makes engineered wood building products) and Universal Forest Products, Inc. (manufactures and distributes wood and wood-alternative products, pressure-treated wood, and is a solid-sawn lumber buyer; makes products for use in home improvement and construction industries).
NWGL | WFSTF | NWGL / WFSTF | |
Capitalization | 247M | 246M | 100% |
EBITDA | N/A | 66.8M | - |
Gain YTD | -84.375 | -48.826 | 173% |
P/E Ratio | 29.85 | 51.81 | 58% |
Revenue | N/A | 1.35B | - |
Total Cash | N/A | 2.3M | - |
Total Debt | N/A | 49.3M | - |
WFSTF | ||
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OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 11 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 89 | |
PRICE GROWTH RATING 1..100 | 85 | |
P/E GROWTH RATING 1..100 | 1 | |
SEASONALITY SCORE 1..100 | 48 |
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.
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A.I.dvisor tells us that NWGL and STLJF have been poorly correlated (+11% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that NWGL and STLJF's prices will move in lockstep.
Ticker / NAME | Correlation To NWGL | 1D Price Change % | ||
---|---|---|---|---|
NWGL | 100% | -3.85% | ||
STLJF - NWGL | 11% Poorly correlated | +1.50% | ||
WFSTF - NWGL | 9% Poorly correlated | -0.39% | ||
WFG - NWGL | 9% Poorly correlated | +1.10% | ||
TCOR - NWGL | 0% Poorly correlated | N/A | ||
RUBNF - NWGL | -0% Poorly correlated | N/A | ||
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A.I.dvisor tells us that WFSTF and CFPZF have been poorly correlated (+23% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that WFSTF and CFPZF's prices will move in lockstep.
Ticker / NAME | Correlation To WFSTF | 1D Price Change % | ||
---|---|---|---|---|
WFSTF | 100% | -0.39% | ||
CFPZF - WFSTF | 23% Poorly correlated | -0.53% | ||
IFSPF - WFSTF | 20% Poorly correlated | +1.79% | ||
NWGL - WFSTF | 9% Poorly correlated | -3.85% | ||
HMTC - WFSTF | 6% Poorly correlated | N/A | ||
WFG - WFSTF | 6% Poorly correlated | +1.10% | ||
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