Telecoms Informatics (Vietnam) Technical Analysis
| ICT Stock | 12,750 50.00 0.39% |
As of the 25th of November, Telecoms Informatics has the Semi Deviation of 1.53, risk adjusted performance of 0.0251, and Coefficient Of Variation of 4052.85. Telecoms Informatics technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices.
Telecoms Informatics Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Telecoms, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to TelecomsTelecoms |
Telecoms Informatics 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.
Telecoms Informatics JSC 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 Telecoms Informatics JSC volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Telecoms Informatics JSC Trend Analysis
Use this graph to draw trend lines for Telecoms Informatics JSC. You can use it to identify possible trend reversals for Telecoms Informatics 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 Telecoms Informatics price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Telecoms Informatics Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Telecoms Informatics JSC applied against its price change over selected period. The best fit line has a slop of 17.00 , which means Telecoms Informatics JSC will continue producing value for investors. It has 122 observation points and a regression sum of squares at 1.09320201E7, which is the sum of squared deviations for the predicted Telecoms Informatics price change compared to its average price change.About Telecoms Informatics 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 Telecoms Informatics JSC 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 Telecoms Informatics JSC based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Telecoms Informatics JSC price pattern first instead of the macroeconomic environment surrounding Telecoms Informatics JSC. By analyzing Telecoms Informatics'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 Telecoms Informatics'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 Telecoms Informatics specific price patterns or momentum indicators. Please read more on our technical analysis page.
Telecoms Informatics November 25, 2024 Technical Indicators
Most technical analysis of Telecoms 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 Telecoms from various momentum indicators to cycle indicators. When you analyze Telecoms 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 | 0.0251 | |||
| Market Risk Adjusted Performance | (0.55) | |||
| Mean Deviation | 1.27 | |||
| Semi Deviation | 1.53 | |||
| Downside Deviation | 1.91 | |||
| Coefficient Of Variation | 4052.85 | |||
| Standard Deviation | 2.02 | |||
| Variance | 4.08 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | 0.0485 | |||
| Total Risk Alpha | (0.28) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | (0.56) | |||
| Maximum Drawdown | 12.72 | |||
| Value At Risk | (2.71) | |||
| Potential Upside | 2.04 | |||
| Downside Variance | 3.64 | |||
| Semi Variance | 2.35 | |||
| Expected Short fall | (1.80) | |||
| Skewness | 1.08 | |||
| Kurtosis | 4.63 |
Other Information on Investing in Telecoms Stock
Telecoms Informatics financial ratios help investors to determine whether Telecoms Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Telecoms with respect to the benefits of owning Telecoms Informatics security.