Software And It Fund Technical Analysis
| FSCSX Fund | USD 21.43 0.18 0.83% |
As of the 2nd of February, Software And has the Coefficient Of Variation of (3,113), variance of 6.17, and Risk Adjusted Performance of (0.02). Software And technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the fund's future prices.
Software And 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 And '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 And's mutual fund 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 And.
| 11/04/2025 |
| 02/02/2026 |
If you would invest 0.00 in Software And on November 4, 2025 and sell it all today you would earn a total of 0.00 from holding Software And It or generate 0.0% return on investment in Software And over 90 days. Software And is related to or competes with Mfs Emerging, Hartford Schroders, Mfs Research, Dfa International, Health Care, Delaware Value, and Brown Advisory. It normally invests at least 80 percent of assets in securities of companies principally engaged in research, design, pr... More
Software And 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 And's mutual fund 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 And It upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 21.95 | |||
| Value At Risk | (2.46) | |||
| Potential Upside | 1.82 |
Software And Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Software And's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Software And's standard deviation. In reality, there are many statistical measures that can use Software And historical prices to predict the future Software And's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (0.11) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Software And'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 And February 2, 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.10) | |||
| Mean Deviation | 1.32 | |||
| Coefficient Of Variation | (3,113) | |||
| Standard Deviation | 2.48 | |||
| Variance | 6.17 | |||
| Information Ratio | (0.05) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (0.11) | |||
| Maximum Drawdown | 21.95 | |||
| Value At Risk | (2.46) | |||
| Potential Upside | 1.82 | |||
| Skewness | 3.5 | |||
| Kurtosis | 23.73 |
Software And It Backtested Returns
Software And It owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0321, which indicates the fund had a -0.0321 % return per unit of risk over the last 3 months. Software And It exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Software And's Risk Adjusted Performance of (0.02), coefficient of variation of (3,113), and Variance of 6.17 to confirm the risk estimate we provide. The entity has a beta of 0.81, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Software And's returns are expected to increase less than the market. However, during the bear market, the loss of holding Software And is expected to be smaller as well.
Auto-correlation | 0.08 |
Virtually no predictability
Software And It has virtually no predictability. Overlapping area represents the amount of predictability between Software And time series from 4th of November 2025 to 19th of December 2025 and 19th of December 2025 to 2nd of February 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 And It price movement. The serial correlation of 0.08 indicates that barely 8.0% of current Software And price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.08 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 1.59 |
Software And technical mutual fund 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, fund market cycles, or different charting patterns.
Software And It Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Software And It across different markets.
About Software And 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 And It 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 And It based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Software And It price pattern first instead of the macroeconomic environment surrounding Software And It. By analyzing Software And'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 And'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 And specific price patterns or momentum indicators. Please read more on our technical analysis page.
Software And February 2, 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.10) | |||
| Mean Deviation | 1.32 | |||
| Coefficient Of Variation | (3,113) | |||
| Standard Deviation | 2.48 | |||
| Variance | 6.17 | |||
| Information Ratio | (0.05) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (0.11) | |||
| Maximum Drawdown | 21.95 | |||
| Value At Risk | (2.46) | |||
| Potential Upside | 1.82 | |||
| Skewness | 3.5 | |||
| Kurtosis | 23.73 |
Software And It One Year Return
Based on the recorded statements, Software And It has an One Year Return of -5.1017%. This is 237.51% lower than that of the Fidelity Investments family and significantly lower than that of the Technology category. The one year return for all United States funds is notably higher than that of the company.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Software And February 2, 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 | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 21.43 | ||
| Day Typical Price | 21.43 | ||
| Price Action Indicator | (0.09) |
Other Information on Investing in Software Mutual Fund
Software And financial ratios help investors to determine whether Software Mutual Fund 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 And security.
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