SSF Home (Malaysia) Technical Analysis
| 0287 Stock | 0.34 0.00 0.00% |
SSF Home Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SSF, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SSFSSF |
SSF Home 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.
SSF Home Group Technical Analysis
The output start index for this execution was twelve with a total number of output elements of fourty-nine. 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 SSF Home Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SSF Home Group Trend Analysis
Use this graph to draw trend lines for SSF Home Group. You can use it to identify possible trend reversals for SSF Home 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 SSF Home price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SSF Home Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SSF Home Group applied against its price change over selected period. The best fit line has a slop of 0.0002 , which may suggest that SSF Home Group market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted SSF Home price change compared to its average price change.SSF Home November 25, 2024 Technical Indicators
Most technical analysis of SSF 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 SSF from various momentum indicators to cycle indicators. When you analyze SSF 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 | (0.03) | |||
| Market Risk Adjusted Performance | (0.80) | |||
| Mean Deviation | 0.8438 | |||
| Coefficient Of Variation | (2,032) | |||
| Standard Deviation | 1.53 | |||
| Variance | 2.33 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.33) | |||
| Treynor Ratio | (0.81) | |||
| Maximum Drawdown | 6.07 | |||
| Value At Risk | (2.86) | |||
| Potential Upside | 2.94 | |||
| Skewness | 0.0301 | |||
| Kurtosis | 0.8458 |