Simat Technologies (Thailand) Technical Analysis
| SIMAT Stock | THB 1.32 0.02 1.49% |
As of the 17th of February 2026, Simat Technologies has the Coefficient Of Variation of 529.76, semi deviation of 3.32, and Risk Adjusted Performance of 0.1605. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Simat Technologies Public, as well as the relationship between them.
Simat 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 Simat, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SimatSimat |
Simat Technologies '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 Simat Technologies' 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 Simat Technologies.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Simat Technologies on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding Simat Technologies Public or generate 0.0% return on investment in Simat Technologies over 90 days. Simat Technologies is related to or competes with Applicad Public, Vintcom Technology, Planet Communications, AJ Advance, SVOA Public, Communication System, and S P. Simat Technologies Public Company Limited distributes computer hardware, software, and network accessories in Thailand a... More
Simat Technologies 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 Simat Technologies' 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 Simat Technologies Public upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.92 | |||
| Information Ratio | 0.1731 | |||
| Maximum Drawdown | 25.92 | |||
| Value At Risk | (6.58) | |||
| Potential Upside | 7.38 |
Simat Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Simat Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Simat Technologies' standard deviation. In reality, there are many statistical measures that can use Simat Technologies historical prices to predict the future Simat Technologies' volatility.| Risk Adjusted Performance | 0.1605 | |||
| Jensen Alpha | 0.7887 | |||
| Total Risk Alpha | 0.5016 | |||
| Sortino Ratio | 0.1974 | |||
| Treynor Ratio | 1.11 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Simat Technologies' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Simat Technologies February 17, 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 | 0.1605 | |||
| Market Risk Adjusted Performance | 1.12 | |||
| Mean Deviation | 3.28 | |||
| Semi Deviation | 3.32 | |||
| Downside Deviation | 3.92 | |||
| Coefficient Of Variation | 529.76 | |||
| Standard Deviation | 4.47 | |||
| Variance | 19.97 | |||
| Information Ratio | 0.1731 | |||
| Jensen Alpha | 0.7887 | |||
| Total Risk Alpha | 0.5016 | |||
| Sortino Ratio | 0.1974 | |||
| Treynor Ratio | 1.11 | |||
| Maximum Drawdown | 25.92 | |||
| Value At Risk | (6.58) | |||
| Potential Upside | 7.38 | |||
| Downside Variance | 15.35 | |||
| Semi Variance | 11.02 | |||
| Expected Short fall | (4.12) | |||
| Skewness | 0.4278 | |||
| Kurtosis | 1.6 |
Simat Technologies Public Backtested Returns
Simat Technologies appears to be dangerous, given 3 months investment horizon. Simat Technologies Public owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the firm had a 0.12 % return per unit of risk over the last 3 months. By inspecting Simat Technologies' technical indicators, you can evaluate if the expected return of 0.52% is justified by implied risk. Please review Simat Technologies' Semi Deviation of 3.32, coefficient of variation of 529.76, and Risk Adjusted Performance of 0.1605 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Simat Technologies holds a performance score of 9. The entity has a beta of 0.75, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Simat Technologies' returns are expected to increase less than the market. However, during the bear market, the loss of holding Simat Technologies is expected to be smaller as well. Please check Simat Technologies' maximum drawdown, as well as the relationship between the expected short fall and rate of daily change , to make a quick decision on whether Simat Technologies' existing price patterns will revert.
Auto-correlation | -0.31 |
Poor reverse predictability
Simat Technologies Public has poor reverse predictability. Overlapping area represents the amount of predictability between Simat Technologies time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th 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 Simat Technologies Public price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current Simat Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.31 | |
| Spearman Rank Test | -0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Simat Technologies 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.
Simat Technologies Public Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Simat Technologies Public volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Simat 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 Simat Technologies Public 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 Simat Technologies Public based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Simat Technologies Public price pattern first instead of the macroeconomic environment surrounding Simat Technologies Public. By analyzing Simat 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 Simat 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 Simat Technologies specific price patterns or momentum indicators. Please read more on our technical analysis page.
Simat Technologies February 17, 2026 Technical Indicators
Most technical analysis of Simat 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 Simat from various momentum indicators to cycle indicators. When you analyze Simat 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 | 0.1605 | |||
| Market Risk Adjusted Performance | 1.12 | |||
| Mean Deviation | 3.28 | |||
| Semi Deviation | 3.32 | |||
| Downside Deviation | 3.92 | |||
| Coefficient Of Variation | 529.76 | |||
| Standard Deviation | 4.47 | |||
| Variance | 19.97 | |||
| Information Ratio | 0.1731 | |||
| Jensen Alpha | 0.7887 | |||
| Total Risk Alpha | 0.5016 | |||
| Sortino Ratio | 0.1974 | |||
| Treynor Ratio | 1.11 | |||
| Maximum Drawdown | 25.92 | |||
| Value At Risk | (6.58) | |||
| Potential Upside | 7.38 | |||
| Downside Variance | 15.35 | |||
| Semi Variance | 11.02 | |||
| Expected Short fall | (4.12) | |||
| Skewness | 0.4278 | |||
| Kurtosis | 1.6 |
Simat Technologies February 17, 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 Simat 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 | 78,195 | ||
| Daily Balance Of Power | (0.40) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 1.34 | ||
| Day Typical Price | 1.33 | ||
| Price Action Indicator | (0.03) |
Complementary Tools for Simat Stock analysis
When running Simat Technologies' price analysis, check to measure Simat 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 Simat Technologies is operating at the current time. Most of Simat Technologies' value examination focuses on studying past and present price action to predict the probability of Simat Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Simat Technologies' price. Additionally, you may evaluate how the addition of Simat Technologies to your portfolios can decrease your overall portfolio volatility.
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