Super League Enterprise Stock Technical Analysis
| SLE Stock | 0.52 0.02 3.70% |
As of the 28th of November, Super League has the Risk Adjusted Performance of (0.08), coefficient of variation of (848.70), and Variance of 61.75. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Super League Enterprise, as well as the relationship between them. Please validate Super League Enterprise market risk adjusted performance, variance, as well as the relationship between the Variance and value at risk to decide if Super League is priced more or less accurately, providing market reflects its prevalent price of 0.52 per share. As Super League Enterprise is a penny stock we also advise to double-check its jensen alpha numbers.
Super League Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Super, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SuperSuper |
Super League Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 18.33 | Buy | 3 | Odds |
Most Super analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Super stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Super League Enterprise, talking to its executives and customers, or listening to Super conference calls.
Super League technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Super League Enterprise Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Super League Enterprise volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Super League Enterprise Trend Analysis
Use this graph to draw trend lines for Super League Enterprise. You can use it to identify possible trend reversals for Super League as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Super League price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Super League Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Super League Enterprise applied against its price change over selected period. The best fit line has a slop of 0.0016 , which may imply that the returns on investment in Super League Enterprise will continue to fail. It has 122 observation points and a regression sum of squares at 0.09, which is the sum of squared deviations for the predicted Super League price change compared to its average price change.About Super League Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Super League Enterprise on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Super League Enterprise based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Super League Enterprise price pattern first instead of the macroeconomic environment surrounding Super League Enterprise. By analyzing Super League's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Super League's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Super League specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 (projected) | Payables Turnover | 1.47 | 2.02 | Days Of Inventory On Hand | 2.9E-5 | 2.6E-5 |
Super League November 28, 2024 Technical Indicators
Most technical analysis of Super help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Super from various momentum indicators to cycle indicators. When you analyze Super charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.08) | |||
| Market Risk Adjusted Performance | (0.89) | |||
| Mean Deviation | 5.27 | |||
| Coefficient Of Variation | (848.70) | |||
| Standard Deviation | 7.86 | |||
| Variance | 61.75 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (1.06) | |||
| Total Risk Alpha | (2.12) | |||
| Treynor Ratio | (0.90) | |||
| Maximum Drawdown | 44.2 | |||
| Value At Risk | (14.71) | |||
| Potential Upside | 14.74 | |||
| Skewness | 0.2022 | |||
| Kurtosis | 2.28 |
Complementary Tools for Super Stock analysis
When running Super League's price analysis, check to measure Super League's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Super League is operating at the current time. Most of Super League's value examination focuses on studying past and present price action to predict the probability of Super League's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Super League's price. Additionally, you may evaluate how the addition of Super League to your portfolios can decrease your overall portfolio volatility.
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