Tangerine Beach (Sri Lanka) Technical Analysis
| TANGN0000 | LKR 63.00 1.10 1.72% |
As of the 29th of November, Tangerine Beach has the Semi Deviation of 1.53, coefficient of variation of 4465.3, and Risk Adjusted Performance of 0.0229. Our technical analysis interface makes it possible for you to check existing technical drivers of Tangerine Beach Hotels, as well as the relationship between them.
Tangerine Beach Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Tangerine, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to TangerineTangerine |
Tangerine Beach 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.
Tangerine Beach Hotels Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Tangerine Beach Hotels volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Tangerine Beach Hotels Trend Analysis
Use this graph to draw trend lines for Tangerine Beach Hotels. You can use it to identify possible trend reversals for Tangerine Beach 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 Tangerine Beach price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Tangerine Beach Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Tangerine Beach Hotels applied against its price change over selected period. The best fit line has a slop of 0.06 , which means Tangerine Beach Hotels will continue generating value for investors. It has 122 observation points and a regression sum of squares at 137.45, which is the sum of squared deviations for the predicted Tangerine Beach price change compared to its average price change.About Tangerine Beach 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 Tangerine Beach 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 Tangerine Beach Hotels based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Tangerine Beach Hotels price pattern first instead of the macroeconomic environment surrounding Tangerine Beach Hotels. By analyzing Tangerine Beach'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 Tangerine Beach'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 Tangerine Beach specific price patterns or momentum indicators. Please read more on our technical analysis page.
Tangerine Beach November 29, 2024 Technical Indicators
Most technical analysis of Tangerine 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 Tangerine from various momentum indicators to cycle indicators. When you analyze Tangerine 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 | 0.0229 | |||
| Market Risk Adjusted Performance | (0.1) | |||
| Mean Deviation | 1.12 | |||
| Semi Deviation | 1.53 | |||
| Downside Deviation | 2.39 | |||
| Coefficient Of Variation | 4465.3 | |||
| Standard Deviation | 1.78 | |||
| Variance | 3.18 | |||
| Information Ratio | (0.05) | |||
| Jensen Alpha | 0.0627 | |||
| Total Risk Alpha | (0.24) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | (0.11) | |||
| Maximum Drawdown | 9.73 | |||
| Value At Risk | (2.66) | |||
| Potential Upside | 3.09 | |||
| Downside Variance | 5.71 | |||
| Semi Variance | 2.35 | |||
| Expected Short fall | (1.71) | |||
| Skewness | (0.16) | |||
| Kurtosis | 2.44 |
Complementary Tools for Tangerine Stock analysis
When running Tangerine Beach's price analysis, check to measure Tangerine Beach'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 Tangerine Beach is operating at the current time. Most of Tangerine Beach's value examination focuses on studying past and present price action to predict the probability of Tangerine Beach's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Tangerine Beach's price. Additionally, you may evaluate how the addition of Tangerine Beach to your portfolios can decrease your overall portfolio volatility.
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