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).
BCC’s FA Score shows that 2 FA rating(s) are green while.
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.
BCC’s TA Score shows that 5 TA indicator(s) are bullish.
BCC (@Construction Materials) experienced а -10.28% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Construction Materials industry was -2.03%. For the same industry, the average monthly price growth was -2.39%, and the average quarterly price growth was +7.70%.
BCC is expected to report earnings on Feb 25, 2025.
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.
BCC | ||
---|---|---|
OUTLOOK RATING 1..100 | 52 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 17 Undervalued | |
PROFIT vs RISK RATING 1..100 | 8 | |
SMR RATING 1..100 | 50 | |
PRICE GROWTH RATING 1..100 | 60 | |
P/E GROWTH RATING 1..100 | 44 | |
SEASONALITY SCORE 1..100 | 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.
BCC | GSSC | |
---|---|---|
RSI ODDS (%) | 2 days ago90% | 2 days ago90% |
Stochastic ODDS (%) | 2 days ago77% | 2 days ago89% |
Momentum ODDS (%) | 2 days ago73% | 2 days ago87% |
MACD ODDS (%) | 2 days ago70% | 2 days ago86% |
TrendWeek ODDS (%) | 2 days ago68% | 2 days ago82% |
TrendMonth ODDS (%) | 2 days ago67% | 2 days ago83% |
Advances ODDS (%) | 23 days ago81% | 5 days ago86% |
Declines ODDS (%) | 2 days ago69% | 7 days ago83% |
BollingerBands ODDS (%) | 2 days ago90% | 2 days ago90% |
Aroon ODDS (%) | 2 days ago74% | 2 days ago84% |
1 Day | |||
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A.I.dvisor indicates that over the last year, GSSC has been closely correlated with UFPI. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if GSSC jumps, then UFPI could also see price increases.
Ticker / NAME | Correlation To GSSC | 1D Price Change % | ||
---|---|---|---|---|
GSSC | 100% | -0.15% | ||
UFPI - GSSC | 82% Closely correlated | -0.48% | ||
BCC - GSSC | 71% Closely correlated | -0.42% | ||
GMS - GSSC | 67% Closely correlated | -0.05% | ||
ATKR - GSSC | 65% Loosely correlated | -0.58% | ||
SSD - GSSC | 65% Loosely correlated | -0.13% | ||
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