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CX vs PIE
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 CX is a Buy and PIE 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).
CX’s FA Score shows that 1 FA rating(s) are green while.
- CX’s FA Score: 1 green, 4 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.
CX’s TA Score shows that 3 TA indicator(s) are bullish.
- CX’s TA Score: 3 bullish, 5 bearish.
Price Growth
CX (@Construction Materials) experienced а -7.02% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Construction Materials industry was -1.50%. For the same industry, the average monthly price growth was -4.97%, and the average quarterly price growth was -8.01%.
Reported Earning Dates
CX is expected to report earnings on Oct 26, 2026.
Industries' Descriptions
@Construction Materials (-1.50% 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.
CX | ||
|---|---|---|
OUTLOOK RATING 1..100 | 20 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 50 Fair valued | |
PROFIT vs RISK RATING 1..100 | 62 | |
SMR RATING 1..100 | 89 | |
PRICE GROWTH RATING 1..100 | 47 | |
P/E GROWTH RATING 1..100 | 8 | |
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.
| CX | PIE | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 1 day ago 72% | 1 day ago 82% |
| Momentum ODDS (%) | 1 day ago 70% | 1 day ago 84% |
| MACD ODDS (%) | 1 day ago 72% | 1 day ago 78% |
| TrendWeek ODDS (%) | 1 day ago 71% | 1 day ago 84% |
| TrendMonth ODDS (%) | 1 day ago 72% | 1 day ago 82% |
| Advances ODDS (%) | 3 days ago 73% | 15 days ago 85% |
| Declines ODDS (%) | 1 day ago 71% | N/A |
| BollingerBands ODDS (%) | 1 day ago 60% | N/A |
| Aroon ODDS (%) | N/A | 1 day ago 90% |
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CX and
Correlation & Price change
A.I.dvisor indicates that over the last year, CX has been loosely correlated with CRH. These tickers have moved in lockstep 50% of the time. This A.I.-generated data suggests there is some statistical probability that if CX jumps, then CRH could also see price increases.
PIE and
Correlation & Price change
A.I.dvisor indicates that over the last year, PIE has been loosely correlated with CX. These tickers have moved in lockstep 53% of the time. This A.I.-generated data suggests there is some statistical probability that if PIE jumps, then CX could also see price increases.