Software Effective Solutions Stock Technical Analysis
| SFWJ Stock | USD 0.03 0.01 25.00% |
As of the 15th of December 2024, Software Effective has the Risk Adjusted Performance of 0.112, semi deviation of 14.01, and Coefficient Of Variation of 708.86. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Software Effective, as well as the relationship between them.
Software Effective Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Software, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SoftwareSoftware |
Software Effective technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Software Effective Technical Analysis
The output start index for this execution was thirty with a total number of output elements of thirty-one. 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 Software Effective volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Software Effective Trend Analysis
Use this graph to draw trend lines for Software Effective Solutions. You can use it to identify possible trend reversals for Software Effective 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 Software Effective price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Software Effective Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Software Effective Solutions applied against its price change over selected period. The best fit line has a slop of 0.0001 , which may suggest that Software Effective Solutions market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Software Effective price change compared to its average price change.About Software Effective 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 Software Effective Solutions 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 Software Effective Solutions based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Software Effective price pattern first instead of the macroeconomic environment surrounding Software Effective. By analyzing Software Effective'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 Software Effective'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 Software Effective specific price patterns or momentum indicators. Please read more on our technical analysis page.
Software Effective December 15, 2024 Technical Indicators
Most technical analysis of Software 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 Software from various momentum indicators to cycle indicators. When you analyze Software 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 | 0.112 | |||
| Market Risk Adjusted Performance | (1.01) | |||
| Mean Deviation | 15.25 | |||
| Semi Deviation | 14.01 | |||
| Downside Deviation | 23.0 | |||
| Coefficient Of Variation | 708.86 | |||
| Standard Deviation | 26.29 | |||
| Variance | 691.32 | |||
| Information Ratio | 0.1373 | |||
| Jensen Alpha | 4.02 | |||
| Total Risk Alpha | 0.4316 | |||
| Sortino Ratio | 0.1569 | |||
| Treynor Ratio | (1.02) | |||
| Maximum Drawdown | 185.19 | |||
| Value At Risk | (27.27) | |||
| Potential Upside | 48.08 | |||
| Downside Variance | 529.08 | |||
| Semi Variance | 196.38 | |||
| Expected Short fall | (26.48) | |||
| Skewness | 2.32 | |||
| Kurtosis | 9.51 |
Other Information on Investing in Software Pink Sheet
Software Effective financial ratios help investors to determine whether Software Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Software with respect to the benefits of owning Software Effective security.