Telecoms Informatics (Vietnam) Technical Analysis
| ICT Stock | 17,900 100.00 0.56% |
As of the 19th of February, Telecoms Informatics has the Risk Adjusted Performance of (0.07), variance of 9.9, and Coefficient Of Variation of (972.41). 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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Telecoms Informatics' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Telecoms Informatics.
| 11/21/2025 |
| 02/19/2026 |
If you would invest 0.00 in Telecoms Informatics on November 21, 2025 and sell it all today you would earn a total of 0.00 from holding Telecoms Informatics JSC or generate 0.0% return on investment in Telecoms Informatics over 90 days. Telecoms Informatics is related to or competes with FIT INVEST, Damsan JSC, An Phat, APG Securities, Binhthuan Agriculture, Mekong Fisheries, and Bentre Aquaproduct. More
Telecoms Informatics Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Telecoms Informatics' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Telecoms Informatics JSC upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 13.81 | |||
| Value At Risk | (6.70) | |||
| Potential Upside | 5.52 |
Telecoms Informatics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Telecoms Informatics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Telecoms Informatics' standard deviation. In reality, there are many statistical measures that can use Telecoms Informatics historical prices to predict the future Telecoms Informatics' volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (0.48) | |||
| Treynor Ratio | 0.427 |
Telecoms Informatics February 19, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.07) | |||
| Market Risk Adjusted Performance | 0.437 | |||
| Mean Deviation | 2.2 | |||
| Coefficient Of Variation | (972.41) | |||
| Standard Deviation | 3.15 | |||
| Variance | 9.9 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (0.48) | |||
| Treynor Ratio | 0.427 | |||
| Maximum Drawdown | 13.81 | |||
| Value At Risk | (6.70) | |||
| Potential Upside | 5.52 | |||
| Skewness | (0.09) | |||
| Kurtosis | 0.6164 |
Telecoms Informatics JSC Backtested Returns
Telecoms Informatics JSC owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0948, which indicates the firm had a -0.0948 % return per unit of risk over the last 3 months. Telecoms Informatics JSC exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Telecoms Informatics' Coefficient Of Variation of (972.41), variance of 9.9, and Risk Adjusted Performance of (0.07) to confirm the risk estimate we provide. The entity has a beta of -0.78, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Telecoms Informatics are expected to decrease at a much lower rate. During the bear market, Telecoms Informatics is likely to outperform the market. At this point, Telecoms Informatics JSC has a negative expected return of -0.27%. Please make sure to validate Telecoms Informatics' accumulation distribution, and the relationship between the value at risk and day typical price , to decide if Telecoms Informatics JSC performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.56 |
Modest predictability
Telecoms Informatics JSC has modest predictability. Overlapping area represents the amount of predictability between Telecoms Informatics time series from 21st of November 2025 to 5th of January 2026 and 5th of January 2026 to 19th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Telecoms Informatics JSC price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current Telecoms Informatics price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 101.4 K |
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 ten with a total number of output elements of fifty-one. 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.
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 February 19, 2026 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 | (0.07) | |||
| Market Risk Adjusted Performance | 0.437 | |||
| Mean Deviation | 2.2 | |||
| Coefficient Of Variation | (972.41) | |||
| Standard Deviation | 3.15 | |||
| Variance | 9.9 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (0.48) | |||
| Treynor Ratio | 0.427 | |||
| Maximum Drawdown | 13.81 | |||
| Value At Risk | (6.70) | |||
| Potential Upside | 5.52 | |||
| Skewness | (0.09) | |||
| Kurtosis | 0.6164 |
Telecoms Informatics February 19, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Telecoms stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.01 | ||
| Daily Balance Of Power | (1.00) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 17,950 | ||
| Day Typical Price | 17,933 | ||
| Price Action Indicator | (100.00) | ||
| Market Facilitation Index | 100.00 |
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.