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).
SVCBF’s FA Score shows that 1 FA rating(s) are green whileWFG’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.
WFG’s TA Score shows that 4 TA indicator(s) are bullish.
SVCBF (@Forest Products) experienced а 0.00% price change this week, while WFG (@Forest Products) price change was -1.60% for the same time period.
The average weekly price growth across all stocks in the @Forest Products industry was -0.81%. For the same industry, the average monthly price growth was -3.31%, and the average quarterly price growth was -3.05%.
WFG is expected to report earnings on Feb 18, 2025.
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).
SVCBF | WFG | SVCBF / WFG | |
Capitalization | 9.32B | 7.05B | 132% |
EBITDA | 8.26B | 337M | 2,451% |
Gain YTD | -11.163 | 8.267 | -135% |
P/E Ratio | 19.38 | 73.53 | 26% |
Revenue | 19.3B | 6.45B | 299% |
Total Cash | 222M | 900M | 25% |
Total Debt | 12.2B | 538M | 2,268% |
SVCBF | WFG | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 34 | 4 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 12 Undervalued | 15 Undervalued | |
PROFIT vs RISK RATING 1..100 | 56 | 22 | |
SMR RATING 1..100 | 85 | 89 | |
PRICE GROWTH RATING 1..100 | 57 | 51 | |
P/E GROWTH RATING 1..100 | 71 | 89 | |
SEASONALITY SCORE 1..100 | 10 | 50 |
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.
SVCBF's Valuation (12) in the null industry is in the same range as WFG (15). This means that SVCBF’s stock grew similarly to WFG’s over the last 12 months.
WFG's Profit vs Risk Rating (22) in the null industry is somewhat better than the same rating for SVCBF (56). This means that WFG’s stock grew somewhat faster than SVCBF’s over the last 12 months.
SVCBF's SMR Rating (85) in the null industry is in the same range as WFG (89). This means that SVCBF’s stock grew similarly to WFG’s over the last 12 months.
WFG's Price Growth Rating (51) in the null industry is in the same range as SVCBF (57). This means that WFG’s stock grew similarly to SVCBF’s over the last 12 months.
SVCBF's P/E Growth Rating (71) in the null industry is in the same range as WFG (89). This means that SVCBF’s stock grew similarly to WFG’s over the last 12 months.
WFG | |
---|---|
RSI ODDS (%) | 2 days ago78% |
Stochastic ODDS (%) | 2 days ago78% |
Momentum ODDS (%) | 2 days ago65% |
MACD ODDS (%) | 2 days ago65% |
TrendWeek ODDS (%) | 2 days ago68% |
TrendMonth ODDS (%) | 2 days ago67% |
Advances ODDS (%) | 9 days ago0% |
Declines ODDS (%) | 2 days ago71% |
BollingerBands ODDS (%) | 2 days ago71% |
Aroon ODDS (%) | 2 days ago60% |
A.I.dvisor tells us that SVCBF and WFG have been poorly correlated (+9% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SVCBF and WFG's prices will move in lockstep.
Ticker / NAME | Correlation To SVCBF | 1D Price Change % | ||
---|---|---|---|---|
SVCBF | 100% | N/A | ||
WFG - SVCBF | 9% Poorly correlated | -0.67% | ||
IFSPF - SVCBF | 5% Poorly correlated | +0.21% | ||
WFSTF - SVCBF | 0% Poorly correlated | -0.23% | ||
TCOR - SVCBF | 0% Poorly correlated | N/A | ||
HMTC - SVCBF | -0% Poorly correlated | N/A | ||
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A.I.dvisor indicates that over the last year, WFG has been loosely correlated with UFPI. These tickers have moved in lockstep 59% of the time. This A.I.-generated data suggests there is some statistical probability that if WFG jumps, then UFPI could also see price increases.
Ticker / NAME | Correlation To WFG | 1D Price Change % | ||
---|---|---|---|---|
WFG | 100% | -0.67% | ||
UFPI - WFG | 59% Loosely correlated | -1.29% | ||
SSD - WFG | 48% Loosely correlated | -0.07% | ||
STLJF - WFG | 11% Poorly correlated | -1.89% | ||
NWGL - WFG | 7% Poorly correlated | N/A | ||
SVCBF - WFG | 4% Poorly correlated | N/A | ||
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