Software Effective Solutions Stock Technical Analysis
| SFWJ Stock | USD 0 0.0001 3.33% |
As of the 31st of January, Software Effective has the Semi Deviation of 11.81, coefficient of variation of 980.6, and Risk Adjusted Performance of 0.0836. 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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Software Effective's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Software Effective.
| 11/02/2025 |
| 01/31/2026 |
If you would invest 0.00 in Software Effective on November 2, 2025 and sell it all today you would earn a total of 0.00 from holding Software Effective Solutions or generate 0.0% return on investment in Software Effective over 90 days. Software Effective is related to or competes with High Wire, and Tapinator. Software Effective Solutions, Inc. provides customer relations management software tools for small and medium-sized orga... More
Software Effective Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Software Effective's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Software Effective Solutions upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 22.61 | |||
| Information Ratio | 0.0985 | |||
| Maximum Drawdown | 93.24 | |||
| Value At Risk | (25.93) | |||
| Potential Upside | 40.0 |
Software Effective Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Software Effective's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Software Effective's standard deviation. In reality, there are many statistical measures that can use Software Effective historical prices to predict the future Software Effective's volatility.| Risk Adjusted Performance | 0.0836 | |||
| Jensen Alpha | 1.62 | |||
| Total Risk Alpha | 0.5452 | |||
| Sortino Ratio | 0.0773 | |||
| Treynor Ratio | 0.5221 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Software Effective's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Software Effective January 31, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0836 | |||
| Market Risk Adjusted Performance | 0.5321 | |||
| Mean Deviation | 10.66 | |||
| Semi Deviation | 11.81 | |||
| Downside Deviation | 22.61 | |||
| Coefficient Of Variation | 980.6 | |||
| Standard Deviation | 17.73 | |||
| Variance | 314.4 | |||
| Information Ratio | 0.0985 | |||
| Jensen Alpha | 1.62 | |||
| Total Risk Alpha | 0.5452 | |||
| Sortino Ratio | 0.0773 | |||
| Treynor Ratio | 0.5221 | |||
| Maximum Drawdown | 93.24 | |||
| Value At Risk | (25.93) | |||
| Potential Upside | 40.0 | |||
| Downside Variance | 511.29 | |||
| Semi Variance | 139.58 | |||
| Expected Short fall | (21.35) | |||
| Skewness | 0.8524 | |||
| Kurtosis | 2.36 |
Software Effective Backtested Returns
Software Effective is out of control given 3 months investment horizon. Software Effective owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the firm had a 0.11 % return per unit of risk over the last 3 months. We are able to interpolate and break down twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.83% are justified by taking the suggested risk. Use Software Effective Semi Deviation of 11.81, coefficient of variation of 980.6, and Risk Adjusted Performance of 0.0836 to evaluate company specific risk that cannot be diversified away. Software Effective holds a performance score of 8 on a scale of zero to a hundred. The entity has a beta of 3.44, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Software Effective will likely underperform. Use Software Effective sortino ratio and the relationship between the downside variance and price action indicator , to analyze future returns on Software Effective.
Auto-correlation | 0.09 |
Virtually no predictability
Software Effective Solutions has virtually no predictability. Overlapping area represents the amount of predictability between Software Effective time series from 2nd of November 2025 to 17th of December 2025 and 17th of December 2025 to 31st of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Software Effective price movement. The serial correlation of 0.09 indicates that less than 9.0% of current Software Effective price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.09 | |
| Spearman Rank Test | 0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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 twenty-four with a total number of output elements of thirty-seven. 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.
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 January 31, 2026 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 | 0.0836 | |||
| Market Risk Adjusted Performance | 0.5321 | |||
| Mean Deviation | 10.66 | |||
| Semi Deviation | 11.81 | |||
| Downside Deviation | 22.61 | |||
| Coefficient Of Variation | 980.6 | |||
| Standard Deviation | 17.73 | |||
| Variance | 314.4 | |||
| Information Ratio | 0.0985 | |||
| Jensen Alpha | 1.62 | |||
| Total Risk Alpha | 0.5452 | |||
| Sortino Ratio | 0.0773 | |||
| Treynor Ratio | 0.5221 | |||
| Maximum Drawdown | 93.24 | |||
| Value At Risk | (25.93) | |||
| Potential Upside | 40.0 | |||
| Downside Variance | 511.29 | |||
| Semi Variance | 139.58 | |||
| Expected Short fall | (21.35) | |||
| Skewness | 0.8524 | |||
| Kurtosis | 2.36 |
Software Effective January 31, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Software stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 20,000 | ||
| Daily Balance Of Power | 0.20 | ||
| Rate Of Daily Change | 1.03 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
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.