Software Acquisition Group Stock Technical Analysis
| SWAG Stock | USD 1.78 0.09 5.33% |
As of the 27th of March, Software Acquisition trades at 1.78 per share. Key technical indicators include Semi Deviation of 3.5, risk adjusted performance of 0.025, and Coefficient Of Variation of 4833.16. The technical model evaluates historical price movement, trading volume, and volatility patterns to quantify trend strength. Current values are evaluated relative to sector peers and historical ranges.
Software Acquisition 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 | Build portfolio with Software Stock |
Analyst Consensus
| Target Price | Consensus | # of Analysts | |
| 4.5 | Strong Buy | 1 | Odds |
The summary for Software Acquisition Group includes current and past analyst recommendations. All figures are based on reported data and are informational in nature. Most Software analysts issue ratings four times a year at intervals of three months. These consensus estimates reflect the collective view of professional researchers monitoring Software's financials.
Quarterly Earnings Growth -0.04 | Earnings Share -0.13 | Revenue Per Share | Quarterly Revenue Growth 0.952 | Return On Assets |
Comparing Software Acquisition's market price with book value reveals how market sentiment relates to accounting fundamentals. Software Acquisition's market capitalization is 51.03 M. Software Acquisition P/B of 1.04 shows the market assigns a modest premium over accounting equity. Enterprise value stands at 22.27 M. For Software Acquisition, intrinsic value estimation helps reconcile what the market pays with what the books show.
Understanding Software Acquisition involves recognizing that value and price can reflect different time horizons. For Software Acquisition, key inputs include a P/B ratio of 1.04, a profit margin of -2.19%, ROE of -7.18%, and revenue of 116.19 M.
What-If Analysis
What-if analysis for Software Acquisition Group is essentially a historical sensitivity test that shows how changes in the investment horizon could have altered realized return, drawdown, and timing outcomes. The stronger interpretation comes from comparing realized return, risk, and path dependency instead of focusing only on the best historical outcome.
| 12/27/2025 |
| 03/27/2026 |
An initial 0.00 allocation to Software Acquisition on December 27, 2025 held through today would record 0.00 in cumulative gains. The change equals a 0.0% cumulative return in Software Acquisition on balance over a 90 day window. Software Acquisition is often compared with ACCESS Newswire, Fluent, Inuvo, Able View, Kartoon Studios, Zedge, and Urban One based on sector and business overlap. It focuses on effecting a merger, capital stock exchange, asset acquisition, stock purchase, reorganization, or similar ... More
Software Acquisition Momentum Range Indicators Dashboard
The upside and downside context for Software Acquisition captures how the stock price has moved within recent ranges. The information reflects structured market data collected across trading periods.
| Downside Deviation | 3.8 | |||
| Information Ratio | 0.0384 | |||
| Maximum Drawdown | 18.32 | |||
| Value At Risk | -6.06 | |||
| Potential Upside | 7.0 |
Software Acquisition Volatility and Risk Indicators Dashboard
Historical risk measures for Software Acquisition describe how the price has varied across observation periods. The dataset reflects available inputs without directional implication.| Risk Adjusted Performance | 0.025 | |||
| Jensen Alpha | 0.0239 | |||
| Total Risk Alpha | 0.4151 | |||
| Sortino Ratio | 0.038 | |||
| Treynor Ratio | -0.12 |
Experienced market participants anticipate that Software Acquisition's price will even out over time. Periods when Software Acquisition's deviates significantly from its historical mean may warrant further fundamental analysis.
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 | 0.025 | |||
| Market Risk Adjusted Performance | -0.11 | |||
| Mean Deviation | 2.86 | |||
| Semi Deviation | 3.5 | |||
| Downside Deviation | 3.8 | |||
| Coefficient Of Variation | 4833.16 | |||
| Standard Deviation | 3.76 | |||
| Variance | 14.12 | |||
| Information Ratio | 0.0384 | |||
| Jensen Alpha | 0.0239 | |||
| Total Risk Alpha | 0.4151 | |||
| Sortino Ratio | 0.038 | |||
| Treynor Ratio | -0.12 | |||
| Maximum Drawdown | 18.32 | |||
| Value At Risk | -6.06 | |||
| Potential Upside | 7.0 | |||
| Downside Variance | 14.48 | |||
| Semi Variance | 12.27 | |||
| Expected Short fall | -3.12 | |||
| Skewness | 0.2395 | |||
| Kurtosis | 0.3946 |
Software Acquisition Backtested Returns
Software Acquisition appears to exhibit a very high risk exposure over the selected 3 months investment horizon. It maintains a Sharpe Ratio (Efficiency) of 0.0461, representing adjusted performance consistency. We identified thirty technical indicators influencing the company's volatility profile. Please review metrics such as Semi Deviation of 3.5, risk-adjusted performance of 0.025, and Coefficient Of Variation of 4833.16 to confirm whether our risk estimates align with your expectations. Software Acquisition has a performance score of 3 on a scale of 0 to 100. The company retains a Beta (Market Risk) of -0.57, which indicates generally lower market sensitivity than the broad market. As returns on the market increase, returns on Software Acquisition tend to move in the opposite direction, though by a smaller magnitude. During a bear market, however, Software Acquisition is likely to outperform the market. Software Acquisition at this time retains a risk of 3.78%.
Auto-correlation | 0.15 |
Insignificant predictability
Software Acquisition Group shows insignificant predictability when comparing price series from 27th of December 2025 to 10th of February 2026 against from 10th of February 2026 to 27th of March 2026. A strong serial relationship would imply that Software Acquisition's recent trajectory contains information about its near-term direction. With a serial correlation of 0.15, less than 15.0% of Software Acquisition's price variation is attributable to patterns in preceding intervals.
| Correlation Coefficient | 0.15 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
This technical view for Software Acquisition centers on price movement and volume signals. The analysis is built from recorded market activity across time frames.
Technical Analysis
This analysis covers thirty-seven data points across the selected time horizon. 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 Acquisition volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of Software Acquisition evaluates price structure, momentum, and volatility clustering. Trend persistence provides context for directional stability. Certain defensive traits may reduce sensitivity to broader macroeconomic fluctuations. Software Acquisition has a market cap of 51.03 M, ROE of -7.18%.
Inputs for Software Acquisition Group come from periodic company reporting and market reference feeds and are mapped into a consistent reporting framework. Some fields can appear with publication lag.
This content is curated and reviewed by:
Ellen Johnson - Member of Macroaxis Editorial BoardSoftware Acquisition Technical Indicators
A technical review of Software Acquisition Group can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. This is most useful when investors want to compare trend quality, momentum, and mean-reversion risk before acting.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.025 | |||
| Market Risk Adjusted Performance | -0.11 | |||
| Mean Deviation | 2.86 | |||
| Semi Deviation | 3.5 | |||
| Downside Deviation | 3.8 | |||
| Coefficient Of Variation | 4833.16 | |||
| Standard Deviation | 3.76 | |||
| Variance | 14.12 | |||
| Information Ratio | 0.0384 | |||
| Jensen Alpha | 0.0239 | |||
| Total Risk Alpha | 0.4151 | |||
| Sortino Ratio | 0.038 | |||
| Treynor Ratio | -0.12 | |||
| Maximum Drawdown | 18.32 | |||
| Value At Risk | -6.06 | |||
| Potential Upside | 7.0 | |||
| Downside Variance | 14.48 | |||
| Semi Variance | 12.27 | |||
| Expected Short fall | -3.12 | |||
| Skewness | 0.2395 | |||
| Kurtosis | 0.3946 |
March 27, 2026 Daily Trend Indicators
A technical review of Software Acquisition Group can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. This is most useful when investors want to compare trend quality, momentum, and mean-reversion risk before acting.
| Accumulation Distribution | 0.06 | ||
| Daily Balance Of Power | 0.82 | ||
| Rate Of Daily Change | 1.05 | ||
| Day Median Price | 1.76 | ||
| Day Typical Price | 1.76 | ||
| Price Action Indicator | 0.07 | ||
| Market Facilitation Index | 0.11 |
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