Ceylon Hotels (Sri Lanka) Technical Analysis
| CHOTN0000 | LKR 23.30 0.50 2.19% |
As of the 12th of December 2024, Ceylon Hotels shows the Mean Deviation of 1.71, downside deviation of 2.27, and Risk Adjusted Performance of 0.1632. Our technical analysis interface gives you tools to check existing technical drivers of Ceylon Hotels, as well as the relationship between them.
Ceylon Hotels Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Ceylon, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CeylonCeylon |
Ceylon Hotels 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.
Ceylon Hotels Technical Analysis
The output start index for this execution was fourty-two with a total number of output elements of nineteen. 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 Ceylon Hotels volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Ceylon Hotels Trend Analysis
Use this graph to draw trend lines for Ceylon Hotels. You can use it to identify possible trend reversals for Ceylon Hotels 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 Ceylon Hotels price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Ceylon Hotels Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Ceylon Hotels applied against its price change over selected period. The best fit line has a slop of 0.08 , which means Ceylon Hotels will continue generating value for investors. It has 122 observation points and a regression sum of squares at 247.58, which is the sum of squared deviations for the predicted Ceylon Hotels price change compared to its average price change.About Ceylon Hotels 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 Ceylon Hotels 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 Ceylon Hotels based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Ceylon Hotels price pattern first instead of the macroeconomic environment surrounding Ceylon Hotels. By analyzing Ceylon Hotels'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 Ceylon Hotels'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 Ceylon Hotels specific price patterns or momentum indicators. Please read more on our technical analysis page.
Ceylon Hotels December 12, 2024 Technical Indicators
Most technical analysis of Ceylon 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 Ceylon from various momentum indicators to cycle indicators. When you analyze Ceylon 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 | 0.1632 | |||
| Market Risk Adjusted Performance | (1.12) | |||
| Mean Deviation | 1.71 | |||
| Semi Deviation | 1.66 | |||
| Downside Deviation | 2.27 | |||
| Coefficient Of Variation | 462.29 | |||
| Standard Deviation | 2.34 | |||
| Variance | 5.46 | |||
| Information Ratio | 0.163 | |||
| Jensen Alpha | 0.5456 | |||
| Total Risk Alpha | 0.1251 | |||
| Sortino Ratio | 0.1677 | |||
| Treynor Ratio | (1.13) | |||
| Maximum Drawdown | 12.91 | |||
| Value At Risk | (2.82) | |||
| Potential Upside | 5.32 | |||
| Downside Variance | 5.16 | |||
| Semi Variance | 2.76 | |||
| Expected Short fall | (2.27) | |||
| Skewness | 0.439 | |||
| Kurtosis | 1.51 |
Complementary Tools for Ceylon Stock analysis
When running Ceylon Hotels' price analysis, check to measure Ceylon Hotels' 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 Ceylon Hotels is operating at the current time. Most of Ceylon Hotels' value examination focuses on studying past and present price action to predict the probability of Ceylon Hotels' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ceylon Hotels' price. Additionally, you may evaluate how the addition of Ceylon Hotels to your portfolios can decrease your overall portfolio volatility.
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