Telkom Indonesia (Germany) Technical Analysis
| TCID Stock | EUR 0.15 0.01 6.25% |
As of the 27th of November, Telkom Indonesia has the Semi Deviation of 4.53, risk adjusted performance of 0.0165, and Coefficient Of Variation of 9733.86. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Telkom Indonesia Tbk, as well as the relationship between them. Please validate Telkom Indonesia Tbk jensen alpha, maximum drawdown, and the relationship between the information ratio and treynor ratio to decide if Telkom Indonesia is priced more or less accurately, providing market reflects its prevalent price of 0.15 per share.
Telkom Indonesia Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Telkom, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to TelkomTelkom |
Telkom Indonesia 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.
Telkom Indonesia Tbk Technical Analysis
The output start index for this execution was four with a total number of output elements of fifty-seven. 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 Telkom Indonesia Tbk volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Telkom Indonesia Tbk Trend Analysis
Use this graph to draw trend lines for Telkom Indonesia Tbk. You can use it to identify possible trend reversals for Telkom Indonesia 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 Telkom Indonesia price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Telkom Indonesia Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Telkom Indonesia Tbk applied against its price change over selected period. The best fit line has a slop of 0.0006 , which may suggest that Telkom Indonesia Tbk market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.01, which is the sum of squared deviations for the predicted Telkom Indonesia price change compared to its average price change.About Telkom Indonesia 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 Telkom Indonesia Tbk 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 Telkom Indonesia Tbk based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Telkom Indonesia Tbk price pattern first instead of the macroeconomic environment surrounding Telkom Indonesia Tbk. By analyzing Telkom Indonesia'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 Telkom Indonesia'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 Telkom Indonesia specific price patterns or momentum indicators. Please read more on our technical analysis page.
Telkom Indonesia November 27, 2024 Technical Indicators
Most technical analysis of Telkom 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 Telkom from various momentum indicators to cycle indicators. When you analyze Telkom 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 | 0.0165 | |||
| Market Risk Adjusted Performance | 0.0442 | |||
| Mean Deviation | 2.77 | |||
| Semi Deviation | 4.53 | |||
| Downside Deviation | 12.6 | |||
| Coefficient Of Variation | 9733.86 | |||
| Standard Deviation | 5.52 | |||
| Variance | 30.49 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.82) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0342 | |||
| Maximum Drawdown | 28.29 | |||
| Value At Risk | (12.50) | |||
| Potential Upside | 11.76 | |||
| Downside Variance | 158.8 | |||
| Semi Variance | 20.53 | |||
| Expected Short fall | (8.36) | |||
| Skewness | (0.61) | |||
| Kurtosis | 2.71 |
Complementary Tools for Telkom Stock analysis
When running Telkom Indonesia's price analysis, check to measure Telkom Indonesia'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 Telkom Indonesia is operating at the current time. Most of Telkom Indonesia's value examination focuses on studying past and present price action to predict the probability of Telkom Indonesia's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Telkom Indonesia's price. Additionally, you may evaluate how the addition of Telkom Indonesia to your portfolios can decrease your overall portfolio volatility.
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