KSPI vs PGNY
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 KSPI is a Buy and PGNY 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).
KSPI’s FA Score shows that 2 FA rating(s) are green whilePGNY’s FA Score has 0 green FA rating(s).
- KSPI’s FA Score: 2 green, 3 red.
- PGNY’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.
KSPI’s TA Score shows that 3 TA indicator(s) are bullish while PGNY’s TA Score has 5 bullish TA indicator(s).
- KSPI’s TA Score: 3 bullish, 6 bearish.
- PGNY’s TA Score: 5 bullish, 3 bearish.
Price Growth
KSPI (@Packaged Software) experienced а -5.89% price change this week, while PGNY (@Packaged Software) price change was -6.35% for the same time period.
The average weekly price growth across all stocks in the @Packaged Software industry was +2.25%. For the same industry, the average monthly price growth was +14.84%, and the average quarterly price growth was +18.83%.
Reported Earning Dates
KSPI is expected to report earnings on Mar 03, 2025.
PGNY is expected to report earnings on Mar 03, 2025.
Industries' Descriptions
@Packaged Software (+2.25% 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.
| KSPI | PGNY | KSPI / PGNY | |
| Capitalization | 24.1B | 3.52B | 684% |
| EBITDA | N/A | 64.5M | - |
| Gain YTD | 17.997 | -60.355 | -30% |
| P/E Ratio | 13.44 | 58.89 | 23% |
| Revenue | N/A | 1.09B | - |
| Total Cash | N/A | 371M | - |
| Total Debt | N/A | 19.4M | - |
| KSPI | PGNY | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 88% |
| Stochastic ODDS (%) | 2 days ago 61% | 2 days ago 74% |
| Momentum ODDS (%) | 2 days ago 50% | 2 days ago 79% |
| MACD ODDS (%) | 2 days ago 37% | 2 days ago 86% |
| TrendWeek ODDS (%) | 2 days ago 44% | 2 days ago 78% |
| TrendMonth ODDS (%) | 2 days ago 40% | 2 days ago 82% |
| Advances ODDS (%) | 10 days ago 83% | 14 days ago 78% |
| Declines ODDS (%) | 2 days ago 50% | 6 days ago 80% |
| BollingerBands ODDS (%) | 2 days ago 50% | 3 days ago 84% |
| Aroon ODDS (%) | 2 days ago 31% | N/A |
KSPI and
Correlation & Price change
A.I.dvisor tells us that KSPI and PGNY have been poorly correlated (+33% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that KSPI and PGNY's prices will move in lockstep.
| Ticker / NAME | Correlation To KSPI | 1D Price Change % | ||
|---|---|---|---|---|
| KSPI | 100% | -0.70% | ||
| PGNY - KSPI | 33% Poorly correlated | -1.01% | ||
| DSP - KSPI | 27% Poorly correlated | -0.96% | ||
| PAY - KSPI | 25% Poorly correlated | -0.11% | ||
| ICCT - KSPI | 25% Poorly correlated | +1.64% | ||
| SAP - KSPI | 25% Poorly correlated | -0.79% | ||
More | ||||
PGNY and
Correlation & Price change
A.I.dvisor indicates that over the last year, PGNY has been loosely correlated with MYPS. These tickers have moved in lockstep 41% of the time. This A.I.-generated data suggests there is some statistical probability that if PGNY jumps, then MYPS could also see price increases.
| Ticker / NAME | Correlation To PGNY | 1D Price Change % | ||
|---|---|---|---|---|
| PGNY | 100% | -1.01% | ||
| MYPS - PGNY | 41% Loosely correlated | N/A | ||
| PINC - PGNY | 36% Loosely correlated | -2.71% | ||
| PAYO - PGNY | 34% Loosely correlated | -1.72% | ||
| PSFE - PGNY | 34% Loosely correlated | -2.11% | ||
| PAGS - PGNY | 34% Loosely correlated | +0.89% | ||
More | ||||