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).
REPO’s FA Score shows that 0 FA rating(s) are green whileSGSOF’s FA Score has 2 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.
REPO’s TA Score shows that 6 TA indicator(s) are bullish while SGSOF’s TA Score has 5 bullish TA indicator(s).
REPO (@Miscellaneous Commercial Services) experienced а 0.00% price change this week, while SGSOF (@Miscellaneous Commercial Services) price change was +3.92% for the same time period.
The average weekly price growth across all stocks in the @Miscellaneous Commercial Services industry was -2.50%. For the same industry, the average monthly price growth was +1.29%, and the average quarterly price growth was -0.68%.
The sector produces general business services, and are not classified elsewhere. For example, FleetCor Technologies provides fuel cards and workforce payment products and services; Copart, Inc. provides online vehicle auction and remarketing services across various nations; Equifax Inc. collects and aggregates credit information on consumers and businesses worldwide, along with selling credit monitoring and fraud-prevention services. Many of the companies in this category have multi-billion market capitalizations.
REPO | SGSOF | REPO / SGSOF | |
Capitalization | 330K | 17.9B | 0% |
EBITDA | -814.23K | 1.4B | -0% |
Gain YTD | -7.692 | 19.983 | -38% |
P/E Ratio | N/A | 25.32 | - |
Revenue | 181K | 6.67B | 0% |
Total Cash | 11.5K | 1.05B | 0% |
Total Debt | 832K | 4.39B | 0% |
REPO | SGSOF | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 93 | 48 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 36 Fair valued | 19 Undervalued | |
PROFIT vs RISK RATING 1..100 | 95 | 99 | |
SMR RATING 1..100 | 100 | 12 | |
PRICE GROWTH RATING 1..100 | 38 | 55 | |
P/E GROWTH RATING 1..100 | 100 | 43 | |
SEASONALITY SCORE 1..100 | 50 | 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.
SGSOF's Valuation (19) in the null industry is in the same range as REPO (36). This means that SGSOF’s stock grew similarly to REPO’s over the last 12 months.
REPO's Profit vs Risk Rating (95) in the null industry is in the same range as SGSOF (99). This means that REPO’s stock grew similarly to SGSOF’s over the last 12 months.
SGSOF's SMR Rating (12) in the null industry is significantly better than the same rating for REPO (100). This means that SGSOF’s stock grew significantly faster than REPO’s over the last 12 months.
REPO's Price Growth Rating (38) in the null industry is in the same range as SGSOF (55). This means that REPO’s stock grew similarly to SGSOF’s over the last 12 months.
SGSOF's P/E Growth Rating (43) in the null industry is somewhat better than the same rating for REPO (100). This means that SGSOF’s stock grew somewhat faster than REPO’s over the last 12 months.
REPO | SGSOF | |
---|---|---|
RSI ODDS (%) | 1 day ago90% | 1 day ago54% |
Stochastic ODDS (%) | 1 day ago90% | 1 day ago30% |
Momentum ODDS (%) | 1 day ago83% | 1 day ago48% |
MACD ODDS (%) | 1 day ago85% | 1 day ago52% |
TrendWeek ODDS (%) | 1 day ago81% | 1 day ago33% |
TrendMonth ODDS (%) | 1 day ago78% | 1 day ago29% |
Advances ODDS (%) | N/A | N/A |
Declines ODDS (%) | 10 days ago84% | N/A |
BollingerBands ODDS (%) | 1 day ago90% | 1 day ago45% |
Aroon ODDS (%) | 1 day ago83% | 1 day ago35% |
A.I.dvisor tells us that REPO and COUR have been poorly correlated (+31% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that REPO and COUR's prices will move in lockstep.
Ticker / NAME | Correlation To REPO | 1D Price Change % | ||
---|---|---|---|---|
REPO | 100% | +3.23% | ||
COUR - REPO | 31% Poorly correlated | -4.07% | ||
RLXXF - REPO | 8% Poorly correlated | -1.79% | ||
RSKIA - REPO | 5% Poorly correlated | -0.61% | ||
SCTBF - REPO | 4% Poorly correlated | -0.10% | ||
SGSOF - REPO | 3% Poorly correlated | +3.92% | ||
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A.I.dvisor tells us that SGSOF and UDMY have been poorly correlated (+21% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SGSOF and UDMY's prices will move in lockstep.
Ticker / NAME | Correlation To SGSOF | 1D Price Change % | ||
---|---|---|---|---|
SGSOF | 100% | +3.92% | ||
UDMY - SGSOF | 21% Poorly correlated | -4.50% | ||
SGSOY - SGSOF | 21% Poorly correlated | -0.50% | ||
IKTSY - SGSOF | 20% Poorly correlated | +1.14% | ||
SDXOF - SGSOF | 8% Poorly correlated | N/A | ||
RLXXF - SGSOF | 7% Poorly correlated | -1.79% | ||
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