COMP vs WKME
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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 COMP is a StrongBuy and WKME is a Buy.
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).
COMP’s FA Score shows that 1 FA rating(s) are green whileWKME’s FA Score has 0 green FA rating(s).
- COMP’s FA Score: 1 green, 4 red.
- WKME’s FA Score: 0 green, 5 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.
COMP’s TA Score shows that 5 TA indicator(s) are bullish while WKME’s TA Score has 7 bullish TA indicator(s).
- COMP’s TA Score: 5 bullish, 5 bearish.
- WKME’s TA Score: 7 bullish, 3 bearish.
Price Growth
COMP (@Real Estate Development) experienced а +10.26% price change this week, while WKME (@Packaged Software) price change was +4.88% for the same time period.
The average weekly price growth across all stocks in the @Real Estate Development industry was +6.32%. For the same industry, the average monthly price growth was +9.54%, and the average quarterly price growth was +4.74%.
The average weekly price growth across all stocks in the @Packaged Software industry was +2.46%. For the same industry, the average monthly price growth was +5.46%, and the average quarterly price growth was +23.09%.
Reported Earning Dates
COMP is expected to report earnings on Aug 05, 2024.
WKME is expected to report earnings on Aug 08, 2024.
Industries' Descriptions
@Real Estate Development (+6.32% weekly)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 (+2.46% 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 | WKME | COMP / WKME | |
| Capitalization | 1.75B | 770M | 227% |
| EBITDA | -216.4M | -58.72M | 369% |
| Gain YTD | 14.362 | -21.368 | -67% |
| P/E Ratio | N/A | N/A | - |
| Revenue | 4.89B | 267M | 1,830% |
| Total Cash | 167M | 266M | 63% |
| Total Debt | 534M | 12.8M | 4,172% |
| COMP | WKME | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 84% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| Momentum ODDS (%) | 2 days ago 79% | 2 days ago 75% |
| MACD ODDS (%) | 2 days ago 89% | 2 days ago 76% |
| TrendWeek ODDS (%) | 2 days ago 76% | 2 days ago 78% |
| TrendMonth ODDS (%) | 2 days ago 72% | 2 days ago 76% |
| Advances ODDS (%) | 4 days ago 79% | 3 days ago 77% |
| Declines ODDS (%) | 2 days ago 89% | 18 days ago 86% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 66% |
COMP and
Correlation & Price change
A.I.dvisor indicates that over the last year, COMP has been closely correlated with HOUS. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if COMP jumps, then HOUS could also see price increases.
| Ticker / NAME | Correlation To COMP | 1D Price Change % | ||
|---|---|---|---|---|
| COMP | 100% | -1.15% | ||
| HOUS - COMP | 68% Closely correlated | -3.21% | ||
| MTTR - COMP | 66% Loosely correlated | N/A | ||
| RDFN - COMP | 65% Loosely correlated | -1.57% | ||
| COIN - COMP | 62% Loosely correlated | +4.23% | ||
| AFRM - COMP | 62% Loosely correlated | +8.01% | ||
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WKME and
Correlation & Price change
A.I.dvisor indicates that over the last year, WKME has been loosely correlated with COIN. These tickers have moved in lockstep 44% of the time. This A.I.-generated data suggests there is some statistical probability that if WKME jumps, then COIN could also see price increases.
| Ticker / NAME | Correlation To WKME | 1D Price Change % | ||
|---|---|---|---|---|
| WKME | 100% | N/A | ||
| COIN - WKME | 44% Loosely correlated | +4.23% | ||
| CLSK - WKME | 38% Loosely correlated | -2.67% | ||
| COMP - WKME | 37% Loosely correlated | -1.15% | ||
| FIVN - WKME | 36% Loosely correlated | -1.49% | ||
| RIOT - WKME | 36% Loosely correlated | +0.60% | ||
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