Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SoftwareOne, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SoftwareOne
SoftwareOne
SoftwareOne Holding's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
SoftwareOne Holding '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 SoftwareOne Holding's stock 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 SoftwareOne Holding.
0.00
11/11/2025
No Change 0.00
0.0
In 3 months and 1 day
02/09/2026
0.00
If you would invest 0.00 in SoftwareOne Holding on November 11, 2025 and sell it all today you would earn a total of 0.00 from holding SoftwareOne Holding or generate 0.0% return on investment in SoftwareOne Holding over 90 days.
SoftwareOne Holding 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 SoftwareOne Holding's stock 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 SoftwareOne Holding upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for SoftwareOne Holding's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SoftwareOne Holding's standard deviation. In reality, there are many statistical measures that can use SoftwareOne Holding historical prices to predict the future SoftwareOne Holding's volatility.
SoftwareOne Holding owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0245, which indicates the firm had a -0.0245 % return per unit of risk over the last 3 months. SoftwareOne Holding exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SoftwareOne Holding's Risk Adjusted Performance of (0.04), coefficient of variation of (1,568), and Variance of 10.35 to confirm the risk estimate we provide. The entity has a beta of -0.0614, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SoftwareOne Holding are expected to decrease at a much lower rate. During the bear market, SoftwareOne Holding is likely to outperform the market. At this point, SoftwareOne Holding has a negative expected return of -0.0804%. Please make sure to validate SoftwareOne Holding's treynor ratio, value at risk, and the relationship between the total risk alpha and maximum drawdown , to decide if SoftwareOne Holding performance from the past will be repeated at some point in the near future.
Auto-correlation
-0.5
Modest reverse predictability
SoftwareOne Holding has modest reverse predictability. Overlapping area represents the amount of predictability between SoftwareOne Holding time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th 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 SoftwareOne Holding price movement. The serial correlation of -0.5 indicates that about 50.0% of current SoftwareOne Holding price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.5
Spearman Rank Test
-0.4
Residual Average
0.0
Price Variance
64.87
SoftwareOne Holding 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.
A focus of SoftwareOne Holding technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SoftwareOne Holding trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...
SoftwareOne Holding Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 SoftwareOne Holding volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SoftwareOne Holding February 9, 2026 Technical Indicators
Most technical analysis of SoftwareOne 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 SoftwareOne from various momentum indicators to cycle indicators. When you analyze SoftwareOne 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.
SoftwareOne Holding February 9, 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 SoftwareOne 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.