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OTGLY vs SGPYY
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 OTGLY is a Buy and SGPYY 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).
OTGLY’s FA Score shows that 1 FA rating(s) are green whileSGPYY’s FA Score has 3 green FA rating(s).
- OTGLY’s FA Score: 1 green, 4 red.
- SGPYY’s FA Score: 3 green, 2 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.
OTGLY’s TA Score shows that 4 TA indicator(s) are bullish while SGPYY’s TA Score has 4 bullish TA indicator(s).
- OTGLY’s TA Score: 4 bullish, 5 bearish.
- SGPYY’s TA Score: 4 bullish, 6 bearish.
Price Growth
OTGLY (@Electronics/Appliances) experienced а +4.79% price change this week, while SGPYY (@Packaged Software) price change was -2.60% for the same time period.
The average weekly price growth across all stocks in the @Electronics/Appliances industry was +0.17%. For the same industry, the average monthly price growth was -3.45%, and the average quarterly price growth was +12.92%.
The average weekly price growth across all stocks in the @Packaged Software industry was -1.63%. For the same industry, the average monthly price growth was -0.71%, and the average quarterly price growth was +17.79%.
Industries' Descriptions
@Electronics/Appliances (+0.17% weekly)TVs, telephones, washing machines, home speakers and even home-office equipment like computers and printers…the list is virtually endless when it comes to consumer electronics and appliances. And, with ‘smarthomes’ increasingly becoming the reality, we could see a sharp surge in high-tech gadgets (including robotic appliances) making their way into our homes– and therefore spelling plenty opportunities in the related industries. Consumers account for 70% of US GDP, and their purchases of high-functioning electronics could make significant dents in the economy’s health. Sony Corp., Whirlpool and iRobot are some of the major consumer electronics/appliances makers.
@Packaged Software (-1.63% 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.
| OTGLY | SGPYY | OTGLY / SGPYY | |
| Capitalization | 7.02B | 14.9B | 47% |
| EBITDA | N/A | 598M | - |
| Gain YTD | 54.108 | 0.044 | 122,854% |
| P/E Ratio | 57.05 | 34.07 | 167% |
| Revenue | N/A | 2.42B | - |
| Total Cash | N/A | 574M | - |
| Total Debt | N/A | 1.55B | - |
SGPYY | ||
|---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 14 Undervalued | |
PROFIT vs RISK RATING 1..100 | 22 | |
SMR RATING 1..100 | 29 | |
PRICE GROWTH RATING 1..100 | 59 | |
P/E GROWTH RATING 1..100 | 71 | |
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.
| OTGLY | SGPYY | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 77% | 4 days ago 71% |
| Stochastic ODDS (%) | 4 days ago 72% | 4 days ago 70% |
| Momentum ODDS (%) | 4 days ago 83% | 4 days ago 40% |
| MACD ODDS (%) | N/A | 4 days ago 45% |
| TrendWeek ODDS (%) | 4 days ago 80% | 4 days ago 51% |
| TrendMonth ODDS (%) | 4 days ago 77% | 4 days ago 50% |
| Advances ODDS (%) | 4 days ago 75% | 5 days ago 57% |
| Declines ODDS (%) | 12 days ago 78% | 13 days ago 51% |
| BollingerBands ODDS (%) | 4 days ago 74% | 4 days ago 62% |
| Aroon ODDS (%) | 4 days ago 76% | 4 days ago 58% |
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| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| GGUS | 60.26 | 0.40 | +0.67% |
| Goldman Sachs MktBt Russell LgCpGrEqETF | |||
| QQQH | 53.55 | 0.32 | +0.59% |
| NEOS Nasdaq-100 Hdg Eq Inc ETF | |||
| BNOV | 42.17 | 0.24 | +0.57% |
| Innovator US Equity Buffer ETF Nov | |||
| NBDS | 34.54 | 0.17 | +0.49% |
| Neuberger Berman Disrupters ETF | |||
| JMST | 50.96 | 0.02 | +0.03% |
| JPMorgan Ultra-Short Municipal Inc ETF | |||
OTGLY and
Correlation & Price change
A.I.dvisor tells us that OTGLY and MDB have been poorly correlated (+23% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that OTGLY and MDB's prices will move in lockstep.
| Ticker / NAME | Correlation To OTGLY | 1D Price Change % | ||
|---|---|---|---|---|
| OTGLY | 100% | +3.45% | ||
| MDB - OTGLY | 23% Poorly correlated | -8.20% | ||
| SGPYY - OTGLY | 20% Poorly correlated | -2.60% | ||
| OCLCF - OTGLY | 10% Poorly correlated | N/A | ||
| PMCUF - OTGLY | 8% Poorly correlated | N/A | ||
| OTGLF - OTGLY | 6% Poorly correlated | N/A | ||
More | ||||
SGPYY and
Correlation & Price change
A.I.dvisor indicates that over the last year, SGPYY has been loosely correlated with SAPGF. These tickers have moved in lockstep 37% of the time. This A.I.-generated data suggests there is some statistical probability that if SGPYY jumps, then SAPGF could also see price increases.
| Ticker / NAME | Correlation To SGPYY | 1D Price Change % | ||
|---|---|---|---|---|
| SGPYY | 100% | -2.60% | ||
| SAPGF - SGPYY | 37% Loosely correlated | -1.26% | ||
| CRM - SGPYY | 35% Loosely correlated | -0.15% | ||
| DASTY - SGPYY | 31% Poorly correlated | -0.06% | ||
| PATH - SGPYY | 27% Poorly correlated | -2.47% | ||
| INXSF - SGPYY | 25% Poorly correlated | +0.50% | ||
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