SOFTWARE MANSION (Poland) Technical Analysis
| SWM Stock | 31.00 1.00 3.33% |
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 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
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 MANSION SPOLKA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SOFTWARE MANSION SPOLKA Trend Analysis
Use this graph to draw trend lines for SOFTWARE MANSION SPOLKA. You can use it to identify possible trend reversals for SOFTWARE MANSION as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual SOFTWARE MANSION price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SOFTWARE MANSION Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SOFTWARE MANSION SPOLKA applied against its price change over selected period. The best fit line has a slop of 0.02 , which may suggest that SOFTWARE MANSION SPOLKA market price will keep on failing further. It has 122 observation points and a regression sum of squares at 19.34, which is the sum of squared deviations for the predicted SOFTWARE MANSION price change compared to its average price change.SOFTWARE MANSION November 28, 2024 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.
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| Risk Adjusted Performance | (0.03) | |||
| Market Risk Adjusted Performance | (1.12) | |||
| Mean Deviation | 1.7 | |||
| Coefficient Of Variation | (2,106) | |||
| Standard Deviation | 2.31 | |||
| Variance | 5.35 | |||
| Information Ratio | (0.10) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | (1.13) | |||
| Maximum Drawdown | 9.93 | |||
| Value At Risk | (4.09) | |||
| Potential Upside | 3.56 | |||
| Skewness | (0.13) | |||
| Kurtosis | 0.3646 |
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.