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).
COMP’s FA Score shows that 1 FA rating(s) are green whilePCOR’s FA Score has 0 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.
COMP’s TA Score shows that 5 TA indicator(s) are bullish while PCOR’s TA Score has 4 bullish TA indicator(s).
COMP (@Real Estate Development) experienced а -2.47% price change this week, while PCOR (@Packaged Software) price change was +5.84% for the same time period.
The average weekly price growth across all stocks in the @Real Estate Development industry was -2.18%. For the same industry, the average monthly price growth was +11.72%, and the average quarterly price growth was +9.89%.
The average weekly price growth across all stocks in the @Packaged Software industry was +1.82%. For the same industry, the average monthly price growth was +7.34%, and the average quarterly price growth was +5.12%.
COMP is expected to report earnings on Mar 04, 2025.
PCOR is expected to report earnings on Feb 13, 2025.
Activities range from the renovation and re-lease of existing buildings to the purchase of raw land and the sale of developed land or parcels to others. Demand for land development business is driven by GDP growth, employment rates, interest rates, and access to/cost of capital. For individual companies in this industry, proper cost estimation and successful bidding play critical roles in their profitability. Large companies could potentially have greater access to capital, while smaller companies can specialize in a specific geographic area or market niche. CBRE Group, VICI Properties Inc and Brookfield Property Partners L.P. are some of the large companies in this industry.
@Packaged Software (+1.82% weekly)Packaged software comprises multiple software programs bundled together and sold as a group. For example, Microsoft Office includes multiple applications such as Excel, Word, and PowerPoint. In some cases, buying a bundled product is cheaper than purchasing each item individually[s20] . Microsoft Corporation, Oracle Corp. and Adobe are some major American packaged software makers.
COMP | PCOR | COMP / PCOR | |
Capitalization | 1.75B | 11.6B | 15% |
EBITDA | -216.4M | -114.83M | 188% |
Gain YTD | 78.191 | 2.557 | 3,058% |
P/E Ratio | N/A | N/A | - |
Revenue | 4.89B | 950M | 514% |
Total Cash | 167M | 678M | 25% |
Total Debt | 534M | 81.5M | 655% |
COMP | PCOR | |
---|---|---|
RSI ODDS (%) | 2 days ago90% | 2 days ago88% |
Stochastic ODDS (%) | 2 days ago90% | 2 days ago75% |
Momentum ODDS (%) | 2 days ago80% | 2 days ago85% |
MACD ODDS (%) | 2 days ago88% | 2 days ago85% |
TrendWeek ODDS (%) | 2 days ago88% | 2 days ago74% |
TrendMonth ODDS (%) | 2 days ago75% | 2 days ago76% |
Advances ODDS (%) | 9 days ago79% | 2 days ago74% |
Declines ODDS (%) | 28 days ago87% | 6 days ago72% |
BollingerBands ODDS (%) | 2 days ago88% | 2 days ago86% |
Aroon ODDS (%) | 2 days ago86% | 2 days ago78% |
A.I.dvisor indicates that over the last year, PCOR has been closely correlated with COIN. These tickers have moved in lockstep 66% of the time. This A.I.-generated data suggests there is a high statistical probability that if PCOR jumps, then COIN could also see price increases.
Ticker / NAME | Correlation To PCOR | 1D Price Change % | ||
---|---|---|---|---|
PCOR | 100% | +0.54% | ||
COIN - PCOR | 66% Closely correlated | -1.58% | ||
CLSK - PCOR | 63% Loosely correlated | +0.11% | ||
RIOT - PCOR | 58% Loosely correlated | -3.47% | ||
PDFS - PCOR | 57% Loosely correlated | -1.17% | ||
COMP - PCOR | 56% Loosely correlated | -1.47% | ||
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