SOFTWARE MANSION (Poland) Technical Analysis
| SWM Stock | 36.20 0.80 2.26% |
SOFTWARE MANSION 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 MANSION '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 MANSION'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 SOFTWARE MANSION.
| 11/14/2025 |
| 02/12/2026 |
If you would invest 0.00 in SOFTWARE MANSION on November 14, 2025 and sell it all today you would earn a total of 0.00 from holding SOFTWARE MANSION SPOLKA or generate 0.0% return on investment in SOFTWARE MANSION over 90 days.
SOFTWARE MANSION 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 MANSION'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 SOFTWARE MANSION SPOLKA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 17.29 | |||
| Value At Risk | (4.66) | |||
| Potential Upside | 5.2 |
SOFTWARE MANSION Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SOFTWARE MANSION's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SOFTWARE MANSION's standard deviation. In reality, there are many statistical measures that can use SOFTWARE MANSION historical prices to predict the future SOFTWARE MANSION's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.41) | |||
| Treynor Ratio | (0.20) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SOFTWARE MANSION'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 MANSION February 12, 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 | (0.19) | |||
| Mean Deviation | 2.36 | |||
| Coefficient Of Variation | (2,562) | |||
| Standard Deviation | 3.18 | |||
| Variance | 10.1 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.41) | |||
| Treynor Ratio | (0.20) | |||
| Maximum Drawdown | 17.29 | |||
| Value At Risk | (4.66) | |||
| Potential Upside | 5.2 | |||
| Skewness | 0.2329 | |||
| Kurtosis | 1.18 |
SOFTWARE MANSION SPOLKA Backtested Returns
SOFTWARE MANSION SPOLKA owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0266, which indicates the firm had a -0.0266 % return per unit of volatility over the last 3 months. SOFTWARE MANSION SPOLKA exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SOFTWARE MANSION's variance of 10.1, and Risk Adjusted Performance of (0.02) to confirm the risk estimate we provide. The entity has a beta of 0.66, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SOFTWARE MANSION's returns are expected to increase less than the market. However, during the bear market, the loss of holding SOFTWARE MANSION is expected to be smaller as well. At this point, SOFTWARE MANSION SPOLKA has a negative expected return of -0.0789%. Please make sure to validate SOFTWARE MANSION's value at risk, as well as the relationship between the daily balance of power and price action indicator , to decide if SOFTWARE MANSION SPOLKA performance from the past will be repeated at future time.
Auto-correlation | 0.12 |
Insignificant predictability
SOFTWARE MANSION SPOLKA has insignificant predictability. Overlapping area represents the amount of predictability between SOFTWARE MANSION time series from 14th of November 2025 to 29th of December 2025 and 29th of December 2025 to 12th 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 MANSION SPOLKA price movement. The serial correlation of 0.12 indicates that less than 12.0% of current SOFTWARE MANSION price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.12 | |
| Spearman Rank Test | 0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 2.34 |
SOFTWARE MANSION 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.
SOFTWARE MANSION SPOLKA Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for SOFTWARE MANSION SPOLKA across different markets.
SOFTWARE MANSION February 12, 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 | (0.19) | |||
| Mean Deviation | 2.36 | |||
| Coefficient Of Variation | (2,562) | |||
| Standard Deviation | 3.18 | |||
| Variance | 10.1 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.41) | |||
| Treynor Ratio | (0.20) | |||
| Maximum Drawdown | 17.29 | |||
| Value At Risk | (4.66) | |||
| Potential Upside | 5.2 | |||
| Skewness | 0.2329 | |||
| Kurtosis | 1.18 |
SOFTWARE MANSION February 12, 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 | 0.02 | ||
| Daily Balance Of Power | 1.33 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 35.90 | ||
| Day Typical Price | 36.00 | ||
| Price Action Indicator | 0.70 | ||
| Market Facilitation Index | 0.60 |
Additional Tools for SOFTWARE Stock Analysis
When running SOFTWARE MANSION's price analysis, check to measure SOFTWARE MANSION's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy SOFTWARE MANSION is operating at the current time. Most of SOFTWARE MANSION's value examination focuses on studying past and present price action to predict the probability of SOFTWARE MANSION's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SOFTWARE MANSION's price. Additionally, you may evaluate how the addition of SOFTWARE MANSION to your portfolios can decrease your overall portfolio volatility.