Charan Insurance (Thailand) Technical Analysis
CHARAN Stock | THB 20.00 0.40 1.96% |
As of the 18th of January 2025, Charan Insurance shows the mean deviation of 1.31, and Risk Adjusted Performance of (0.04). Charan Insurance Public 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.
Charan Insurance Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Charan, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CharanCharan |
Charan Insurance 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.
Charan Insurance 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 Charan Insurance Public volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Charan Insurance Public Trend Analysis
Use this graph to draw trend lines for Charan Insurance Public. You can use it to identify possible trend reversals for Charan Insurance 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 Charan Insurance price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Charan Insurance Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Charan Insurance Public applied against its price change over selected period. The best fit line has a slop of 0.04 , which may suggest that Charan Insurance Public market price will keep on failing further. It has 122 observation points and a regression sum of squares at 59.03, which is the sum of squared deviations for the predicted Charan Insurance price change compared to its average price change.About Charan Insurance 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 Charan Insurance 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 Charan Insurance Public based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Charan Insurance Public price pattern first instead of the macroeconomic environment surrounding Charan Insurance Public. By analyzing Charan Insurance'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 Charan Insurance'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 Charan Insurance specific price patterns or momentum indicators. Please read more on our technical analysis page.
Charan Insurance January 18, 2025 Technical Indicators
Most technical analysis of Charan 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 Charan from various momentum indicators to cycle indicators. When you analyze Charan 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 | (0.04) | |||
Market Risk Adjusted Performance | (0.48) | |||
Mean Deviation | 1.31 | |||
Coefficient Of Variation | (1,885) | |||
Standard Deviation | 2.44 | |||
Variance | 5.94 | |||
Information Ratio | (0.07) | |||
Jensen Alpha | (0.14) | |||
Total Risk Alpha | (0.20) | |||
Treynor Ratio | (0.49) | |||
Maximum Drawdown | 15.42 | |||
Value At Risk | (3.69) | |||
Potential Upside | 2.87 | |||
Skewness | 1.41 | |||
Kurtosis | 6.18 |
Complementary Tools for Charan Stock analysis
When running Charan Insurance's price analysis, check to measure Charan Insurance'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 Charan Insurance is operating at the current time. Most of Charan Insurance's value examination focuses on studying past and present price action to predict the probability of Charan Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Charan Insurance's price. Additionally, you may evaluate how the addition of Charan Insurance to your portfolios can decrease your overall portfolio volatility.
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Content Syndication Quickly integrate customizable finance content to your own investment portal | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Stocks Directory Find actively traded stocks across global markets | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |