ML vs PGY
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 ML is a StrongBuy and PGY is a Sell.
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).
ML’s FA Score shows that 0 FA rating(s) are green whilePGY’s FA Score has 0 green FA rating(s).
- ML’s FA Score: 0 green, 5 red.
- PGY’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.
ML’s TA Score shows that 5 TA indicator(s) are bullish while PGY’s TA Score has 4 bullish TA indicator(s).
- ML’s TA Score: 5 bullish, 5 bearish.
- PGY’s TA Score: 4 bullish, 5 bearish.
Price Growth
ML (@Packaged Software) experienced а +5.74% price change this week, while PGY (@Packaged Software) price change was +10.05% for the same time period.
The average weekly price growth across all stocks in the @Packaged Software industry was +1.14%. For the same industry, the average monthly price growth was +6.30%, and the average quarterly price growth was -1.92%.
Reported Earning Dates
ML is expected to report earnings on Aug 10, 2023.
PGY is expected to report earnings on Feb 12, 2025.
Industries' Descriptions
@Packaged Software (+1.14% 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.
| ML | PGY | ML / PGY | |
| Capitalization | 699M | 667M | 105% |
| EBITDA | 7.17M | -44.51M | -16% |
| Gain YTD | -24.773 | -27.899 | 89% |
| P/E Ratio | 1.80 | 18.42 | 10% |
| Revenue | 423M | 773M | 55% |
| Total Cash | 92.2M | 189M | 49% |
| Total Debt | 190M | 413M | 46% |
| ML | PGY | |
|---|---|---|
| RSI ODDS (%) | 6 days ago 63% | 6 days ago 84% |
| Stochastic ODDS (%) | 6 days ago 77% | 6 days ago 51% |
| Momentum ODDS (%) | 6 days ago 71% | 6 days ago 47% |
| MACD ODDS (%) | 6 days ago 83% | 6 days ago 44% |
| TrendWeek ODDS (%) | 6 days ago 70% | 6 days ago 56% |
| TrendMonth ODDS (%) | 6 days ago 74% | 6 days ago 66% |
| Advances ODDS (%) | 7 days ago 76% | 10 days ago 74% |
| Declines ODDS (%) | 28 days ago 80% | 15 days ago 73% |
| BollingerBands ODDS (%) | 6 days ago 60% | 6 days ago 65% |
| Aroon ODDS (%) | 6 days ago 79% | 6 days ago 70% |
ML and
Correlation & Price change
A.I.dvisor indicates that over the last year, ML has been loosely correlated with COIN. These tickers have moved in lockstep 50% of the time. This A.I.-generated data suggests there is some statistical probability that if ML jumps, then COIN could also see price increases.
PGY and
Correlation & Price change
A.I.dvisor indicates that over the last year, PGY has been loosely correlated with AFRM. These tickers have moved in lockstep 49% of the time. This A.I.-generated data suggests there is some statistical probability that if PGY jumps, then AFRM could also see price increases.
| Ticker / NAME | Correlation To PGY | 1D Price Change % | ||
|---|---|---|---|---|
| PGY | 100% | +2.75% | ||
| AFRM - PGY | 49% Loosely correlated | -1.23% | ||
| QTWO - PGY | 47% Loosely correlated | +0.78% | ||
| SQ - PGY | 40% Loosely correlated | -2.46% | ||
| ALRM - PGY | 38% Loosely correlated | +1.26% | ||
| SKLZ - PGY | 37% Loosely correlated | +5.11% | ||
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