Singapore Technologies Engineering Stock Technical Analysis
| SGGKF Stock | USD 3.31 0.00 0.00% |
As of the 25th of November, Singapore Technologies has the Risk Adjusted Performance of 0.0676, coefficient of variation of 1268.87, and Variance of 7.04. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Singapore Technologies, as well as the relationship between them. Please validate Singapore Technologies market risk adjusted performance, variance, as well as the relationship between the Variance and potential upside to decide if Singapore Technologies is priced more or less accurately, providing market reflects its prevalent price of 3.31 per share. Given that Singapore Technologies has total risk alpha of (0.22), we advise you to double-check Singapore Technologies Engineering's current market performance to make sure the company can sustain itself at a future point.
Singapore Technologies Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Singapore, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SingaporeSingapore |
Singapore Technologies technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Singapore Technologies 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 Singapore Technologies volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Singapore Technologies Trend Analysis
Use this graph to draw trend lines for Singapore Technologies Engineering. You can use it to identify possible trend reversals for Singapore Technologies 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 Singapore Technologies price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Singapore Technologies Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Singapore Technologies Engineering applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Singapore Technologies Engineering will continue generating value for investors. It has 122 observation points and a regression sum of squares at 4.71, which is the sum of squared deviations for the predicted Singapore Technologies price change compared to its average price change.About Singapore Technologies Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Singapore Technologies Engineering on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Singapore Technologies Engineering based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Singapore Technologies price pattern first instead of the macroeconomic environment surrounding Singapore Technologies. By analyzing Singapore Technologies's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Singapore Technologies's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Singapore Technologies specific price patterns or momentum indicators. Please read more on our technical analysis page.
Singapore Technologies November 25, 2024 Technical Indicators
Most technical analysis of Singapore 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 Singapore from various momentum indicators to cycle indicators. When you analyze Singapore 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 | 0.0676 | |||
| Market Risk Adjusted Performance | 2.24 | |||
| Mean Deviation | 0.9658 | |||
| Coefficient Of Variation | 1268.87 | |||
| Standard Deviation | 2.65 | |||
| Variance | 7.04 | |||
| Information Ratio | 0.0295 | |||
| Jensen Alpha | 0.1884 | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | 2.23 | |||
| Maximum Drawdown | 25.21 | |||
| Potential Upside | 3.4 | |||
| Skewness | 0.4453 | |||
| Kurtosis | 15.89 |
Complementary Tools for Singapore Pink Sheet analysis
When running Singapore Technologies' price analysis, check to measure Singapore Technologies' 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 Singapore Technologies is operating at the current time. Most of Singapore Technologies' value examination focuses on studying past and present price action to predict the probability of Singapore Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Singapore Technologies' price. Additionally, you may evaluate how the addition of Singapore Technologies to your portfolios can decrease your overall portfolio volatility.
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