Cal Comp (Thailand) Technical Analysis
| CCET Stock | THB 9.55 0.15 1.60% |
As of the 16th of December 2024, Cal Comp shows the Mean Deviation of 3.92, downside deviation of 4.15, and Risk Adjusted Performance of 0.2095. Cal Comp Electronics technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Cal Comp Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Cal, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CalCal |
Cal Comp 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.
Cal Comp Electronics Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Cal Comp Electronics volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Cal Comp Electronics Trend Analysis
Use this graph to draw trend lines for Cal Comp Electronics Public. You can use it to identify possible trend reversals for Cal Comp 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 Cal Comp price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Cal Comp Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Cal Comp Electronics Public applied against its price change over selected period. The best fit line has a slop of 0.11 , which means Cal Comp Electronics Public will continue generating value for investors. It has 122 observation points and a regression sum of squares at 484.15, which is the sum of squared deviations for the predicted Cal Comp price change compared to its average price change.About Cal Comp 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 Cal Comp Electronics 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 Cal Comp Electronics Public based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Cal Comp Electronics price pattern first instead of the macroeconomic environment surrounding Cal Comp Electronics. By analyzing Cal Comp'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 Cal Comp'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 Cal Comp specific price patterns or momentum indicators. Please read more on our technical analysis page.
Cal Comp December 16, 2024 Technical Indicators
Most technical analysis of Cal 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 Cal from various momentum indicators to cycle indicators. When you analyze Cal 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.
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.2095 | |||
| Market Risk Adjusted Performance | (7.77) | |||
| Mean Deviation | 3.92 | |||
| Semi Deviation | 2.99 | |||
| Downside Deviation | 4.15 | |||
| Coefficient Of Variation | 361.13 | |||
| Standard Deviation | 5.75 | |||
| Variance | 33.05 | |||
| Information Ratio | 0.2595 | |||
| Jensen Alpha | 1.6 | |||
| Total Risk Alpha | 0.8674 | |||
| Sortino Ratio | 0.3594 | |||
| Treynor Ratio | (7.78) | |||
| Maximum Drawdown | 33.58 | |||
| Value At Risk | (6.42) | |||
| Potential Upside | 12.88 | |||
| Downside Variance | 17.23 | |||
| Semi Variance | 8.94 | |||
| Expected Short fall | (5.24) | |||
| Skewness | 1.45 | |||
| Kurtosis | 4.15 |
Other Information on Investing in Cal Stock
Cal Comp financial ratios help investors to determine whether Cal 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 Cal with respect to the benefits of owning Cal Comp security.